Relevant bibliographies by topics / Investment performance

Academic literature on the topic 'Investment performance'

Author: Grafiati
Published: 4 June 2021
Last updated: 5 March 2023

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Journal articles on the topic "Investment performance"

1

Juniarti, Juniarti, Yulius Jogi Christiawan, and Hendri Kwistianus. "Market response and future performance of inefficient investment: Over-investment or under-investment." Investment Management and Financial Innovations 19, no. 4 (November 14, 2022): 146–59. http://dx.doi.org/10.21511/imfi.19(4).2022.12.

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There have been many studies on the market response to investment spending, but only a few have examined the market response to the issue of over-investment or under-investment. This study examines the effect of the issue on market response and future financial performance. The sample includes large-cap companies listed on the Indonesia Stock Exchange (IDX) for 2016–2021. Samples must have at least 120 active trading days for each year. Two hundred and thirty-two observations meet the qualifications. This study adopts the investment inefficiency model developed by previous studies to measure over-investment or under-investment. Residual inefficient investment models are used as over-investment or under-investment scores, in addition to the dummy of the residual category. Market response is measured by cumulative abnormal returns (CAR), market capitalization (MCAP), and market-to-book value (MTB).Meanwhile, a firm’s performance uses return on assets (ROA) and return on equity (ROE). The results show that the coefficient of the inefficient investment variable, using both the residual value and the dummy variable, shows a negative direction, which means the market responds negatively to over-investment or under-investment. However, the value of t is significant at the <0.01 level on the market response variable as measured by MTB, but not significant for the other two proxies. Thus, hypothesis 1 is supported, although not for all market response proxies. The value of the inefficient investment coefficient also shows a negative direction when testing hypothesis 2 and is significant at the <0.1 level. These results are consistent with future performance variables measured by ROA and ROE. AcknowledgmentThe study was supported by PDUPT (Higher Education Primary Research Grant) from the Ministry of Education, Culture, Research and Technology, Government of Indonesia.
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2

van Raak, Jeroen, and Amber Raaphorst. "From performance measurement to performance management in the impact investment industry." Maandblad Voor Accountancy en Bedrijfseconomie 94, no. 5/6 (June 30, 2020): 205–17. http://dx.doi.org/10.5117/mab.94.48610.

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Impact investments have the potential to play an important role in solving social and environmental problems. Although the sector is growing rapidly, it does face a number of challenges, in particular related to impact measurement. Measuring the impact of such investments, which aim to achieve social and/or environmental impact while simultaneously generating financial returns, has proven difficult. This study examines the design and application of measurement systems related to impact investments. To investigate this, the seven impact measurement guidelines of the IMWG are used as a framework. We study to which degree impact investors set concrete investment objectives, how they measure and collect data related to the generated impact of the investments, and how they use such data to evaluate investment opportunities. We rely on a qualitative research methodology, including 13 semi-structured interviews among Dutch institutional investors. We find that impact investors typically set general, but not specific impact objectives. Furthermore, we note that impact investors are still searching for and experimenting with performance measures, and that they would value the development of standardized measures. Such standardized measures may assist in reducing the cost of obtaining investment data, while simultaneously increasing data reliability. Although the obtained impact data is currently hardly used for external reporting and impact data driven investment decisions, the institutional investors expect this to happen in the near future as the process of impact measurement matures. This would enable institutional investors to transition from performance measurement to performance management in the impact investment industry.
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3

Kinyua, Muthinga Linus, Mr James Muturi, and Dr Eddie Simiyu. "Investment Strategy and Financial Performance of Defined Contribution Pension Funds in Kenya." Journal of Finance and Accounting 6, no. 1 (April 4, 2022): 71–89. http://dx.doi.org/10.53819/81018102t5050.

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Pension funds are meant to enable pensioners to live quality life upon retirement by paying them retirement benefits. Financial performance of defined contribution pension funds in Kenya has continued to portray unimpressive trend despite positive targets set by the pension funds. Hence, the study examined the effect of investment strategy on financial performance of defined contribution pension funds in Kenya. Systems theory view of pension funds, agency theory, portfolio theory and fisher’s theory of investment guided this study. Secondary data was used in the study. Correlational research design and positivism research philosophy were adopted by this study. The target population comprised of 1172 registered defined contribution pension funds in Kenya as of December 2018. A sample size of 289 defined contribution pension funds were involved in the study and were selected by applying stratified random sampling method. The study established that a positive association exists between investment strategy and financial performance of defined contribution pension funds in Kenya. It concluded that investment strategy explained up to 57.76% of the variations in the return on investment. The regression analysis conducted found a significantly positive association between long term investments and return on investment. Medium term investments was also found to be positively and significantly connected to return on investment. There was also a significantly positive relationship between short term investments and return on investment. Alternative investments was found to be positively and significantly connected to return on investment. The coefficient of determination increased from 57.76% to 65.47% when density of contributions interacted with long term investments, medium term investments, short term investments and alternative investments. The study recommended long term investments as the most ideal investment option for defined contribution pension funds because of its ability to generate the highest return on investment. Medium term investments was recommended as the second best investment option to be embraced by defined contribution pension funds because of its ability to yield good returns as well, second to long term investments. The next investment priority should be given to the alternative investments since it had the third highest regression of coefficients. The least investment option to be undertaken by defined contribution pension funds should be short term investments. Keywords: Long term investments, medium term investments, short term investments, alternative investments, density of contribution, performance, defined contribution pension funds, Kenya.
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4

Nofiyanti, Nofa, Bambang Sunarko, and Ekaningtyas Widiastuti. "ANALISIS KELAYAKAN INVESTASI DALAM RANGKA EKSPANSI (STUDI KASUS PADA PDAM TIRTA SATRIA KABUPATEN BANYUMAS)." Performance 23, no. 1 (August 16, 2017): 1. http://dx.doi.org/10.20884/1.performance.2016.23.1.285.

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This research study is a case study conducted in PDAM Tirta Satria Kabupaten Banyumas. This research entitled “Invesment Feasibility Analysis in the Context Ex-pansion (Case Study of PDAM Tirta Satria Kabupaten Banyumas)”. The objective of this research study is to determine the expansion in fixed assets that will conducted by PDAM Tirta Satria Kabupaten Banyumas feasible in the term of Internal Rate of Return (IRR) and Payback Period methods. Population and sample in this research is PDAM Tirta Satria Kabupaten Banyumas, using boring sampling as a sampling method.The result of the research showed: the investment in order to expand the addition of fixed assets that will be run by PDAM Tirta Satria Kabupaten Banyumas feasible by considering the results of the analysis Internal Rate of Return method of 21% which greater than the cost of capital that has been determined of 10% (IRR>k) and Payback Period method, the investment will show a time for 4 years and 8 months 26 days to capital return on investment so that investment is feasible.
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5

Ferson, Wayne E. "Investment Performance Evaluation." Annual Review of Financial Economics 2, no. 1 (December 2010): 207–34. http://dx.doi.org/10.1146/annurev-financial-120209-134007.

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6

Baariu, Mungiria James, and Njuguna Peter. "Relationship Between Selected Macroeconomic Variables and the Financial Performance of Investment Banks in Kenya." International Journal of Economics and Finance 13, no. 11 (October 28, 2021): 102. http://dx.doi.org/10.5539/ijef.v13n11p102.

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Currently, investment banks in Kenya are facing a lot of challenges due to persistence losses. However, the available studies are inadequate to aid investment banks in overcoming these challenges in Kenya due to mixed findings, resulting in rising uncertainty on equity investments’ performance, leading to massive losses among investment banks.  This study, therefore, sought to model the relationship between inflation, GDP, interest rates, exchange rates, and financial performance of investment banks. Arbitrage pricing theory, Modern portfolio theory as well as classical economic theory (flow-oriented model) was used. A causal research design was adopted. The study found that inflation has negative significant influence on financial performance of equity investments among investment banks in Kenya. Also, GDP has positive and significant influence on financial performance of equity investments among investment banks in Kenya. Interest rate was also found to have negative and significant influence on financial performance of equity investments among investment banks in Kenya. In addition, exchange rate has negative significant influence on financial performance of equity investments among investment banks in Kenya. The study therefore recommends any investor including financial investors to methodically analyze inflation trends and understand how it affects the company’s financial performance. Investors must also be in a position to predict the future concerning inflation changes.
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7

Baariu, Mungiria James, and Njuguna Peter. "Relationship Between Selected Macroeconomic Variables and the Financial Performance of Investment Banks in Kenya." International Journal of Economics and Finance 13, no. 11 (October 28, 2021): 98. http://dx.doi.org/10.5539/ijef.v13n11p98.

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Currently, investment banks in Kenya are facing a lot of challenges due to persistence losses. However, the available studies are inadequate to aid investment banks in overcoming these challenges in Kenya due to mixed findings, resulting in rising uncertainty on equity investments’ performance, leading to massive losses among investment banks.  This study, therefore, sought to model the relationship between inflation, GDP, interest rates, exchange rates, and financial performance of investment banks. Arbitrage pricing theory, Modern portfolio theory as well as classical economic theory (flow-oriented model) was used. A causal research design was adopted. The study found that inflation has negative significant influence on financial performance of equity investments among investment banks in Kenya. Also, GDP has positive and significant influence on financial performance of equity investments among investment banks in Kenya. Interest rate was also found to have negative and significant influence on financial performance of equity investments among investment banks in Kenya. In addition, exchange rate has negative significant influence on financial performance of equity investments among investment banks in Kenya. The study therefore recommends any investor including financial investors to methodically analyze inflation trends and understand how it affects the company’s financial performance. Investors must also be in a position to predict the future concerning inflation changes.
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8

Mattingly, James E., and Lori Olsen. "Performance Outcomes of Investing Slack Resources in Corporate Social Responsibility." Journal of Leadership & Organizational Studies 25, no. 4 (March 21, 2018): 481–98. http://dx.doi.org/10.1177/1548051818762336.

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Our study examined relationships among slack resources, investment in corporate social responsibility (CSR) and firm performance, finding that accounting and market returns respond differently to investments of slack in CSR. Although accounting returns to both financial and organizational CSR investment were positive, equity markets reward organizational slack but punish financial slack investments. Moreover, distinguishing among forms of CSR indicates that both accounting and market returns respond much more positively to investment in stakeholder protection than to investment in stakeholder improvement. Finally, risk, strategy, and governance are mediating mechanisms partially explaining CSR effects but not to the extent we expected.
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9

L. Kobo, Kgabo, and Collins C. Ngwakwe. "Relating corporate social investment with financial performance." Investment Management and Financial Innovations 14, no. 2 (August 21, 2017): 367–75. http://dx.doi.org/10.21511/imfi.14(2-2).2017.08.

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Previous researchers have found conflicting results between CSI and firm financial performance. This paper moves this debate further by examining the extent to which corporate social investment (CSI) relates with corporate financial performance (CFP) from a developing country perspective. The main aim of the paper was to determine the relationship between CSI, stock price, sales turnover and return on equity (ROE) amongst the socially responsible investing (SRI) companies in the Johannesburg Stock Exchange. CSI data on the SRI companies were collected from companies’ integrated reports from 2011 to 2015. Therefore, a cross-sectional panel data arrangement was applied and the analysis was conducted using the ordinary least square (OLS). Tested at an alpha level of 0.05, the regression result produced a probability level of P < 0.01 for share price and sales turnover; and P = 10 for return on equity. Therefore, the findings revealed a strong positive and significant linkage between the SRI companies’ social investment, share price and sales turnover and no significant linkage with return on equity. These findings are consistent with previous literature findings reviewed in the paper on similar research conducted in developed countries, which showed positive and negative relationships. Findings from the literature indicate that various factors may account for conflicting results, which includes inter alia, time coverage, size of data, location, market sustainability awareness and culture. The paper contributes by revealing that whilst CSI may trigger improvement in stock price and sales turnover of SRI companies, the sales turnover might not necessarily result in boost in profit level that could engender enough return on equity within a short period time. The conflicting results from the literature is indicative of the inclusiveness in research between CSI and firm performance. Hence, the paper recommends further research to examine the relationship within a longer period of time using new sample of companies and other methods of analysis.
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10

Evans, Carig, and Gary van Vuuren. "Investment strategy performance under tracking error constraints." Investment Management and Financial Innovations 16, no. 1 (March 19, 2019): 239–57. http://dx.doi.org/10.21511/imfi.16(1).2019.19.

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Recent (2018) evidence identifies the increased need for active managers to facilitate the exploitation of investment opportunities found in inefficient markets. Typically, active portfolios are subject to tracking error (TE) constraints. The risk-return relationship of such constrained portfolios is described by an ellipse in mean-variance space, known as the constant TE frontier. Although previous work assessed the performance of active portfolio strategies on the efficient frontier, this article uses several performance indicators to evaluate the outperformance of six active portfolio strategies over the benchmark – subject to various TE constraints – on the constant TE frontier.
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Dissertations / Theses on the topic "Investment performance"

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Hoepner, Andreas G. F. "Essays on responsible investment, research output analyses and investment performance evaluation." Thesis, University of St Andrews, 2010. http://hdl.handle.net/10023/2130.

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This thesis includes four essays, of which each comprises two original contributions. Based on this thesis’ eight contributions, we add knowledge or understanding to the literatures on responsible investment, research output analyses and investment performance evaluation. First, we develop the first generic, reliable approach to benchmark research area output (e.g. journal articles or books), which we expect to appeal to governments’ increasing interest in monitoring their research funding investments. Second, we apply this approach to the research area of responsible investment, which is currently backed by an about $ 7 trillion industry. We find that the (quality weighted) quantity of responsible investment’s research output is statistically significantly under-proportional compared with peer research areas. One of several explanations for this result lies in the intransparency of the current responsible investment literature. Third, we develop an approach to research synthesis, which improves a research area’s transparency without experiencing many weaknesses of conventional literature reviews. We title this approach Influential Literature Analysis (ILA). Fourth, we apply ILA to the relatively intransparent responsible investment literature. One of our many findings is that responsible assets with their ceteris paribus under-proportional total risk might appear artificially unattractive when assessed by the most common investment performance measure, the Sharpe ratio, which is biased in favour of high risk assets due to its currently unsolved negative excess return problem. Fifth, we develop a generic, reliable and robust solution to the negative Sharpe ratio problem, which investors can customise according to their specific increasing incremental disutility of risk functions. Six, we generalise our solution to the negative Sharpe ratio problem, which allows us to solve the negative (excess) return problems of over twenty other investment performance measures. Seventh, we develop independent, statistically sophisticated tests of the sufficiency and quality of suggested solutions to the negative Sharpe ratio problem, since all existing tests a-priori assume the superiority of a specific solution. In contrast, our tests are only based on the Sharpe ratio itself and two basic axioms of investment theory. Hence, they are conceptually unrelated to our solutions. Eighth, we apply these tests using two different data samples to all existing solutions to the negative Sharpe ratio problem. We find that investors are best advised to use our solutions, the H⁶-, H⁷- or H⁸-measure, in their evaluation of investment performance from a Sharpe ratio like perspective.
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2

Gallagher, David R. "Investment Manager Characteristics, Strategy and Fund Performance." Thesis, The University of Sydney, 2002. http://hdl.handle.net/2123/858.

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This dissertation presents five research essays evaluating the performance of managed funds in light of the investment strategy and manager characteristics exhibited by institutional investment companies. An analysis of investment performance with respect to a fund managers strategy provides important information in determining whether performance objectives have been achieved. There are a number of different types of investment strategies managed funds may adopt. However, the primary dichotomy is on the basis of whether the portfolio manager implements either an active or index approach. Active managers attempt to outperform the market through the use of price-sensitive information, whereas a passive manager's objective is to replicate the returns and risk of a target benchmark index. The evaluation of investment manager characteristics is also evaluated. This is motivated on the basis that asset management entities place significant emphasis on both the articulation and differentiation of their investment style relative to competitors, and selling the strengths of their portfolio management skills (in terms of past performance) as well identifying the key individuals comprising their investment team and their unique attributes. For active equity managers, the methods used in constructing portfolios and implementing the investment strategy include security selection, in terms of 'top-down' or 'bottom-up' strategies, value-biased, growth-biased or style-neutral strategies, and portfolios exhibiting market capitalisation biases (i.e. preferences to large or small-cap securities). In terms of active bond portfolio management, the most common strategies include duration management and yield curve positioning. Active managers' strategies are likely to extend beyond stock selection, in particular, where the fund manager adjusts the portfolio's composition in anticipation of favourably capitalising on future movements in the market. For index managers, replication of both the returns and risk of the underlying index may be achieved through either full-replication of constituent stocks comprising the index, or through non-replication techniques (stratified sampling and/or optimisation). Each essay provides a unique contribution to the literature with respect to the performance of active and index funds, as well as an analysis of funds that invest specifically in domestic equities, domestic fixed interest, and diversified funds that invest across the broad spectrum of asset classes. The origins of the performance evaluation literature are ascribed to Cowles' (1933) pioneering work, and the literature has given increasing attention to the topic. However the most fundamental issue considered in almost all previous studies of managed fund performance is the extent to which actively managed portfolios have earned superior risk-adjusted excess returns for investors. The literature has overwhelmingly documented (with a small number of exceptions) that active funds have been unable to earn superior returns, either before or after expenses (e.g. Jensen (1968), Elton et al. (1993), Malkiel (1995), Gruber (1996)). While the international evidence is supported by the few Australian managed fund studies available, Australian research remains surprisingly scarce. This is perplexing considering the sheer size of the investment industry in Australia (around $A717 billion as at 30 June 2001) and the importance placed on the sector with respect to successive Federal Governments' retirement income policies. The objectives of this dissertation therefore involve an analysis of managed fund performance with respect to differences in investment strategies (i.e. active and index), as well as providing an analysis of funds invested in equities, bonds and diversified asset classes (or multi-sector portfolios). The first essay evaluates the market timing and security selection capabilities of Australian pooled superannuation funds. These funds provide institutional investors with exposure to securities across many different asset classes, including domestic and international equities, domestic and international fixed interest, property and cash. Surprisingly, the specific analysis of multi-sector funds is scarce in the literature and limited to Brinson et al. (1986, 1991), Sinclair (1990), and Blake et al. (1999). This essay also evaluates performance for the three largest asset classes within diversified superannuation funds and their contribution to overall portfolio return. The importance of an accurately specified market portfolio proxy in the measurement of investment performance is demonstrated, where the essay employs performance benchmarks that account for the multi-sector investment decisions of active investment managers in a manner that is consistent with their unique investment strategy. This approach rectifies Sinclair's (1990) analysis resulting from benchmark misspecification. Consistent with the literature, the empirical results indicate that Australian pooled superannuation funds do not exhibit significantly positive security selection or market timing skill. Given the evidence in the literature surrounding the inability of active funds to deliver superior returns to investors, lower cost index funds have become increasingly popular as an alternative investment strategy. Despite the significant growth in index funds since 1976, when the first index mutual fund was launched in the U.S., research on their performance is sparse in the U.S. and non-existent in Australia. The second essay provides an original analysis of the Australian index fund market, with specific analysis applicable to institutional Australian equity index funds offered by fund managers. While indexing is theoretically straightforward, in practice there exist potential difficulties in exactly matching the return of the underlying index. Therefore the magnitude of tracking error is likely to be of concern to investors. This essay documents the existence of significant tracking error for Australian index funds, where the magnitude of the difference between index fund returns and index returns averages between 7.4 and 22.3 basis points per month for funds operating at least five years. However, there is little evidence of bias in tracking error, implying that these funds neither systematically outperform or underperform their benchmark on a before cost basis. Further analysis documents that the magnitude of tracking error is related to fund cash flows, market volatility, transaction costs and index replication strategies used by passive investment managers. The third essay presents evidence of the performance of U.S. mutual funds, where attention is given to both active and index mutual funds for which the applicable benchmark index is the S&P 500. This essay examines both the magnitude and variation of tracking error over time for S&P 500 index mutual funds. The essay documents seasonality in S&P 500 index mutual fund tracking error, where tracking error is significantly higher in the months of January and May, together with a seasonal trough in the quarters ending March-June-September-December. Statistical evidence indicates tracking error is both positively and significantly correlated with the dividend payments arising from constituent S&P 500 securities. In terms of a performance comparison between actively managed and index funds, active funds on average are found to significantly underperform passive benchmarks. On the other hand, S&P 500 index mutual funds earned higher risk-adjusted excess returns after expenses than large capitalisation-oriented active mutual funds in the period examined. These results suggest the S&P 500 is consistent with capital market efficiency, implying an absence of economic benefit accruing to the average investor utilising actively managed U.S. equity mutual funds. The fourth essay presented in the dissertation examines the performance of Australian investment management organisations with direct reference to their specific characteristics and strategies employed. Using a unique information source, performance is evaluated for actively managed institutional balanced funds (or diversified asset class funds), Australian share funds and Australian bond funds. Performance is evaluated with respect to the investment strategy adopted, the experience and qualifications held by investment professionals, and the tenure of the key investment professionals. This essay also evaluates the performance of senior sector heads to determine the skills of individuals driving the investment process, even though these individuals may migrate to competitor organisations. The essay finds evidence that a significant number of active Australian equity managers earned superior risk-adjusted returns in the period, however active managers perform in line with market indices for balanced funds and Australian bond funds. A number of manager characteristics are also found to predict risk-adjusted excess returns, systematic risk and investment expenses. Of particular note, performance of balanced funds is negatively related to the institution's age and the loyalty of non-senior investment staff. Performance is also found to be significantly higher for managers that predominantly operate their portfolios using a bottom-up, stock selection approach. Interestingly, the human capital of managers, measured as the years of tertiary education undertaken, does not explain risk-adjusted excess returns. Systematic risk is positively related to an institutions age and negatively related to both senior manager loyalty and the implementation of bottom-up portfolio management strategies. In terms of management expenses, fees are directly related to the Australian equities benchmark allocation, the years of tertiary education, the number of years service (loyalty) for non-senior investment professionals and the total years experience of senior money managers. This concluding essay also documents that changes in top management have significant performance effects. In the 12-month period after a change in fixed income director or chief investment officer, performance is significantly lower and significantly higher, respectively. There is no significant difference in performance where changes in top management occur for Australian equities. The years of service (loyalty) provided to asset management firms by equities directors is inversely related to risk-adjusted return. The fifth and final essay examines the investment performance of active Australian bond funds and the impact of investor fund flows on portfolio returns. This essay represents a significant and original analysis in terms of its contribution to the literature, given the absence of Australian bond fund performance analytics and also the limited attention provided in the U.S. Both security selection and market timing performance is evaluated using both unconditional models and conditional performance evaluation techniques, which account for public information and the time-variation in risk. Overall, the results of this essay are consistent with the U.S. and international mutual fund evidence, where performance is found to be consistent with an efficient market. While actively managed institutional funds perform broadly in line with the index before expenses, the paper documents significant underperformance for actively managed retail bond funds after fees. The study also documents that retail fund flows negatively impact on market timing coefficients when flow is not accounted for in unconditional models.
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3

Gallagher, David R. "Investment Manager Characteristics, Strategy and Fund Performance." University of Sydney. Business, 2002. http://hdl.handle.net/2123/858.

Full text
Abstract:
This dissertation presents five research essays evaluating the performance of managed funds in light of the investment strategy and manager characteristics exhibited by institutional investment companies. An analysis of investment performance with respect to a fund managers strategy provides important information in determining whether performance objectives have been achieved. There are a number of different types of investment strategies managed funds may adopt. However, the primary dichotomy is on the basis of whether the portfolio manager implements either an active or index approach. Active managers attempt to outperform the market through the use of price-sensitive information, whereas a passive manager's objective is to replicate the returns and risk of a target benchmark index. The evaluation of investment manager characteristics is also evaluated. This is motivated on the basis that asset management entities place significant emphasis on both the articulation and differentiation of their investment style relative to competitors, and selling the strengths of their portfolio management skills (in terms of past performance) as well identifying the key individuals comprising their investment team and their unique attributes. For active equity managers, the methods used in constructing portfolios and implementing the investment strategy include security selection, in terms of 'top-down' or 'bottom-up' strategies, value-biased, growth-biased or style-neutral strategies, and portfolios exhibiting market capitalisation biases (i.e. preferences to large or small-cap securities). In terms of active bond portfolio management, the most common strategies include duration management and yield curve positioning. Active managers' strategies are likely to extend beyond stock selection, in particular, where the fund manager adjusts the portfolio's composition in anticipation of favourably capitalising on future movements in the market. For index managers, replication of both the returns and risk of the underlying index may be achieved through either full-replication of constituent stocks comprising the index, or through non-replication techniques (stratified sampling and/or optimisation). Each essay provides a unique contribution to the literature with respect to the performance of active and index funds, as well as an analysis of funds that invest specifically in domestic equities, domestic fixed interest, and diversified funds that invest across the broad spectrum of asset classes. The origins of the performance evaluation literature are ascribed to Cowles' (1933) pioneering work, and the literature has given increasing attention to the topic. However the most fundamental issue considered in almost all previous studies of managed fund performance is the extent to which actively managed portfolios have earned superior risk-adjusted excess returns for investors. The literature has overwhelmingly documented (with a small number of exceptions) that active funds have been unable to earn superior returns, either before or after expenses (e.g. Jensen (1968), Elton et al. (1993), Malkiel (1995), Gruber (1996)). While the international evidence is supported by the few Australian managed fund studies available, Australian research remains surprisingly scarce. This is perplexing considering the sheer size of the investment industry in Australia (around $A717 billion as at 30 June 2001) and the importance placed on the sector with respect to successive Federal Governments' retirement income policies. The objectives of this dissertation therefore involve an analysis of managed fund performance with respect to differences in investment strategies (i.e. active and index), as well as providing an analysis of funds invested in equities, bonds and diversified asset classes (or multi-sector portfolios). The first essay evaluates the market timing and security selection capabilities of Australian pooled superannuation funds. These funds provide institutional investors with exposure to securities across many different asset classes, including domestic and international equities, domestic and international fixed interest, property and cash. Surprisingly, the specific analysis of multi-sector funds is scarce in the literature and limited to Brinson et al. (1986, 1991), Sinclair (1990), and Blake et al. (1999). This essay also evaluates performance for the three largest asset classes within diversified superannuation funds and their contribution to overall portfolio return. The importance of an accurately specified market portfolio proxy in the measurement of investment performance is demonstrated, where the essay employs performance benchmarks that account for the multi-sector investment decisions of active investment managers in a manner that is consistent with their unique investment strategy. This approach rectifies Sinclair's (1990) analysis resulting from benchmark misspecification. Consistent with the literature, the empirical results indicate that Australian pooled superannuation funds do not exhibit significantly positive security selection or market timing skill. Given the evidence in the literature surrounding the inability of active funds to deliver superior returns to investors, lower cost index funds have become increasingly popular as an alternative investment strategy. Despite the significant growth in index funds since 1976, when the first index mutual fund was launched in the U.S., research on their performance is sparse in the U.S. and non-existent in Australia. The second essay provides an original analysis of the Australian index fund market, with specific analysis applicable to institutional Australian equity index funds offered by fund managers. While indexing is theoretically straightforward, in practice there exist potential difficulties in exactly matching the return of the underlying index. Therefore the magnitude of tracking error is likely to be of concern to investors. This essay documents the existence of significant tracking error for Australian index funds, where the magnitude of the difference between index fund returns and index returns averages between 7.4 and 22.3 basis points per month for funds operating at least five years. However, there is little evidence of bias in tracking error, implying that these funds neither systematically outperform or underperform their benchmark on a before cost basis. Further analysis documents that the magnitude of tracking error is related to fund cash flows, market volatility, transaction costs and index replication strategies used by passive investment managers. The third essay presents evidence of the performance of U.S. mutual funds, where attention is given to both active and index mutual funds for which the applicable benchmark index is the S&P 500. This essay examines both the magnitude and variation of tracking error over time for S&P 500 index mutual funds. The essay documents seasonality in S&P 500 index mutual fund tracking error, where tracking error is significantly higher in the months of January and May, together with a seasonal trough in the quarters ending March-June-September-December. Statistical evidence indicates tracking error is both positively and significantly correlated with the dividend payments arising from constituent S&P 500 securities. In terms of a performance comparison between actively managed and index funds, active funds on average are found to significantly underperform passive benchmarks. On the other hand, S&P 500 index mutual funds earned higher risk-adjusted excess returns after expenses than large capitalisation-oriented active mutual funds in the period examined. These results suggest the S&P 500 is consistent with capital market efficiency, implying an absence of economic benefit accruing to the average investor utilising actively managed U.S. equity mutual funds. The fourth essay presented in the dissertation examines the performance of Australian investment management organisations with direct reference to their specific characteristics and strategies employed. Using a unique information source, performance is evaluated for actively managed institutional balanced funds (or diversified asset class funds), Australian share funds and Australian bond funds. Performance is evaluated with respect to the investment strategy adopted, the experience and qualifications held by investment professionals, and the tenure of the key investment professionals. This essay also evaluates the performance of senior sector heads to determine the skills of individuals driving the investment process, even though these individuals may migrate to competitor organisations. The essay finds evidence that a significant number of active Australian equity managers earned superior risk-adjusted returns in the period, however active managers perform in line with market indices for balanced funds and Australian bond funds. A number of manager characteristics are also found to predict risk-adjusted excess returns, systematic risk and investment expenses. Of particular note, performance of balanced funds is negatively related to the institution's age and the loyalty of non-senior investment staff. Performance is also found to be significantly higher for managers that predominantly operate their portfolios using a bottom-up, stock selection approach. Interestingly, the human capital of managers, measured as the years of tertiary education undertaken, does not explain risk-adjusted excess returns. Systematic risk is positively related to an institutions age and negatively related to both senior manager loyalty and the implementation of bottom-up portfolio management strategies. In terms of management expenses, fees are directly related to the Australian equities benchmark allocation, the years of tertiary education, the number of years service (loyalty) for non-senior investment professionals and the total years experience of senior money managers. This concluding essay also documents that changes in top management have significant performance effects. In the 12-month period after a change in fixed income director or chief investment officer, performance is significantly lower and significantly higher, respectively. There is no significant difference in performance where changes in top management occur for Australian equities. The years of service (loyalty) provided to asset management firms by equities directors is inversely related to risk-adjusted return. The fifth and final essay examines the investment performance of active Australian bond funds and the impact of investor fund flows on portfolio returns. This essay represents a significant and original analysis in terms of its contribution to the literature, given the absence of Australian bond fund performance analytics and also the limited attention provided in the U.S. Both security selection and market timing performance is evaluated using both unconditional models and conditional performance evaluation techniques, which account for public information and the time-variation in risk. Overall, the results of this essay are consistent with the U.S. and international mutual fund evidence, where performance is found to be consistent with an efficient market. While actively managed institutional funds perform broadly in line with the index before expenses, the paper documents significant underperformance for actively managed retail bond funds after fees. The study also documents that retail fund flows negatively impact on market timing coefficients when flow is not accounted for in unconditional models.
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Palmberg, Johanna. "Family Ownership and Investment Performance." Doctoral thesis, Internationella Handelshögskolan, Högskolan i Jönköping, IHH, Nationalekonomi, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-14518.

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This dissertation provides an economic analysis of families as owners of large listed firms. The essential research question is whether family ownership provides an efficient form of governance. Family ownership and control is evaluated from different angles; how ownership, control, management, and board structure affects firm performance, and executive compensation. Chapter two “A Contractual Perspective of the Firm with an Application to the Maritime Industry” is a conceptual paper analyzing the contractual structure of a firm. The chapter conceptualizes the relations between firms, and markets, and gives a transaction cost perspective of why firms are organized the way they are. The third chapter “The Impact of Vote Differentiation on Investment Performance in Listed Family Firms” investigates ownership and control in Swedish family controlled firms. The analysis shows that family control is beneficial, but only if voting rights and cash-flow rights are aligned. The fourth chapter “Family Control and Executive Compensation” analyses whether families use remuneration as a way to expropriate minority shareholders. The study shows that managers in family-controlled firms have alower share of variable compensation than managers in non-family controlled firms. The analysis shows further that family control has a reducing effect on the total level of CEO-compensation. The last chapter “Board of Directors, Dependency, and Returns on Investment” investigates if there is a relationship between ownership structure, board of directors, and firm performance. The marginal q analysis indicate that firm dependent directors have a negative impact on firms’ investment performance. Owner-dependent and employee elected directors do not affect firm investment performance. To sum up, the empirical results show that family ownership and control affects remuneration in listed firms, and the firm investment performance. The analysis further shows that there are clear differences in the ownership and governance structure between family and non-family controlled firms.
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De, Villiers H. O. "Risk-adjusted performance : an overview." Thesis, Stellenbosch : Stellenbosch University, 2005. http://hdl.handle.net/10019.1/50442.

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Thesis (MBA)--Stellenbosch University, 2005.
ENGLISH ABSTRACT: Investors accept that actual investment pertormance differs from anticipated pertormance. The difference between the two is attributed to investment risk. Professional investment managers charge significant fees for active investment management. Investors funding this industry should evaluate the risk-adjusted investment pertormance to determine if it justifies the associated costs. A number of research papers have presented various methods for adjusting investment pertormance for the risk assumed in the generation thereof. This study presents an overview of techniques available for measuring riskadjusted pertormance of listed equity related investments. The classic pertormance measures of Treynor, Sharpe and Jensen are discussed. Alternative ways of quantifying risk offer different methods for risk-adjusting periormance. This leads to the discussion of more modern approaches to risk-adjustment, such as the Sortino ratio and the Omega measure. The lack of risk-adjusted pertormance reporting within the South African investment management industry is highlighted. An overview of guidelines for risk-adjusted pertormance reporting is presented. As such, it is relevant to investment managers, policy makers of the industry and the financial press reporting on investment management. A comparison of risk-adjusted pertormance figures between unitised-, indexand direct equity investment approaches show that a simple direct equity investment strategy outpertorm on risk-adjusted basis for the five year period reviewed.
AFRIKAANSE OPSOMMING: Beleggers aanvaar die feit dat gerealiseerde beleggings opbrengste van verwagte opbrengste verskil. Die verskil word aan beleggings risiko toegeskryf. Professionele beleggingsbestuurders hef aansienlike fooie om beleggings aktief te bestuur. Beleggers wat hierdie industrie befonds behoort die risiko-aangepaste beleggingsprestasie te evalueer ten einde vas te stel of dit die kostes regverdig wat daarmee gepaardgaan. 'n Aantal navorsingsverslae het reeds verskeie metodes voorgestel vir die aanpassing van beleggingsprestasie vir risiko aanvaar tydens die najaag van prestasie. Hierdie studie bied 'n oorsig van beskikbare tegnieke vir die meet van risiko aangepaste prestasie van genoteerde aandeel- en verwante beleggings. Die klassieke metodes van Treynor, Sharpe en Jensen word bespreek. Alternatiewe metodes om risiko te kwantifiseer bied verskillende metodes om prestasie vir risiko aan te pas. Dit lei tot die bespreking van meer moderne benaderings tot risiko aanpassing, soos die Sortino verhouding en die Omega maatstaf. Hierdie studie bring die tekort van risiko aangepaste prestasie verslaggewing in die Suid-Afrikaanse beleggingsbestuur industrie aan die lig. 'n Oorsig van riglyne vir risiko-aangepaste prestasie verslaggewing word gelewer. Die studie is gevolglik relevant vir beleggingsbestuurders, industrie beleidmakers en die finansiele pers wat oor beleggingsbestuur verslag doen. 'n Vergelyking van risiko-aangepaste opbrengs syfers tussen kollektiewe-. indeks- en direkte aandele beleggings benaderings lig uit dat 'n eenvoudige direkte aandele belegging strategie op 'n risiko-aangepaste basis oor die vyf jaar periode ondersoek, uitpresteer het.
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Wootton, Sileanne. "The investment performance of individual investors." Thesis, Henley Business School, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.409556.

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Looi, Adrian Banking &amp Finance Australian School of Business UNSW. "Investment manager trading behaviour and performance." Awarded by:University of New South Wales. Banking & Finance, 2007. http://handle.unsw.edu.au/1959.4/40413.

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This dissertation presents an examination of the trading behaviour of active Australian fund managers. The thesis begins with an analysis of how fund manager trades relate to stock returns in the past, the present, and the future. The dissertation next proceeds to investigating how fund size affects fund performance, trading and portfolio construction. Finally, using earnings announcements as the locus for trading sequences, we analyse the nature of the information used by fund managers to predict stock returns. This research is presented in the form of three essays. The first essay investigates how active fund manager trades relate to stock returns. Using a unique database of daily transactions from Australian equity managers, we document that our sample of institutional investors exhibit statistically and economically significant predictive power in forecasting future stock returns over the ten days following their trades. Furthermore, detailed analysis indicates that manager style is important in understanding the link between institutional trading and stock returns. The essay finds growth-oriented managers are momentum traders, while style-neutral and value managers are contrarian. Further, the contemporaneous relation between institutional trading and returns depends on trade size, broker use, and investment style. Finally, the study documents that trades and returns are inversely related for value/contrarian managers and directly related for style-neutral and growth managers. The second essay presents an analysis of how fund size affects investment performance. Recent studies find evidence that small funds outperform large funds. This fund size effect is commonly hypothesized to be caused by transaction costs. Due to the lack of transactions data, prior studies have investigated the transaction costs theory only indirectly. This study however, analyses the daily transactions of active Australian equity managers and finds aggregate market impact costs incurred by large managers are significantly greater than that Finally, the third essay examines the nature of price-sensitive earnings information used by package formation and portfolio characteristics consistent with transaction cost intimidation. An analysis of the interaction between transaction cost intimidation and the fund size effect documents that large managers pursue a highly active trading strategy, and accordingly suffer more from the fund size effect than is the case for large funds following a less active trading strategy. This suggests the fund size effect is related to transaction costs as trading activity is a good proxy for expected market impact. Finally, the third essay examines the nature of price-sensitive earnings information used by fund managers to trade. While a number of recent mutual fund performance studies find data, prior studies have investigated the transaction costs theory only indirectly. This study however, analyses the daily transactions of active Australian equity managers and finds aggregate market impact costs incurred by large managers are significantly greater than that Finally, the third essay examines the nature of price-sensitive earnings information used by package formation and portfolio characteristics consistent with transaction cost intimidation. An analysis of the interaction between transaction cost intimidation and the fund size effect documents that large managers pursue a highly active trading strategy, and accordingly suffer more from the fund size effect than is the case for large funds following a less active trading strategy. This suggests the fund size effect is related to transaction costs as trading activity is incurred by small managers. Furthermore, large managers exhibit preferences for trade evidence of outperformance relative to suitably constructed benchmarks, limited research exists as to whether such outperformance is due to privately collected information, or merely expedient interpretation of publicly released information. In this essay an examination of the trade sequences of fund managers around earnings announcements is performed, and evidence is presented revealing an increased Occurrence of buy-sell trade sequences around good announcements and vice versa for bad announcements. The results also show an increase in the frequency of fund managers not trading before announcements, only to subsequently purchase during good announcements. Taken together, this evidence suggests managers are reliant on private information before earnings announcements, as well as them engaging in 'interpretation' of earnings announcements when they do not receive a private signal.
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Gestrin, Michael V. "The performance of foreign direct investment." Thesis, University of Oxford, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.404789.

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Schuster, Joel D. "Business aircraft investment and financial performance." Thesis, Capella University, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=3714060.

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This research was an attempt to replicate, yet expand previous empirically supported, qualitative gray literature research conducted by NEXA (2010). The primary difference between this study and the NEXA study is adding significance testing in a quantitative study, to substantiate previously reported positive organizational financial performance associated with business aircraft investment. The outcome contradicted the previous study by providing evidence there were no significant differences in financial performance between those companies that own business aircraft and those companies that do not. The sampling populations were collected from publicly available data through a Federal Aviation Administration (FAA) aircraft registry and Securities and Exchange Commission (SEC) / Edgar database for the Standard and Poor’s (S&P) 600 Small Capitalization (SmallCap) Index funds.

The research utilized the Andersen (2001) Utilization strategies, Benefits, and shareholder Value (UBV) conceptual framework. The dependent variables of Earnings Before Income Tax, Depreciation and Ammoritization (EBITDA), Revenue Growth, Return on Equity (ROE), and Return on Assets (ROA) financial indicators and ratios were applied to test the significant differences between the independent variables of companies that own business aircraft versus companies that do not own business aircraft. The breadth of associated costs when contemplating investment in business aircraft goes well beynd the initial cost of the aircraft itself and was not covered in this study. Depending on the strategic objective and intended use of a business aircraft, ownership involves an additional and significant investment in infrastructure and back office support, segregated by direct and indirect costs.

In order to help define the future roles of business aircraft, the industry as a whole must create a synchronous and performance based public face that emphasizes the broad collection of the multi-dimensional and positive, technological, economic, and regulatory, political, and social dynamic contributions. Moreover, with financial indicators demonstrating positive value, productivity, and performance separation between business aircraft ownership from non-ownership, coupled with the internal as well as external drivers influencing financial results, the public face of business aviation and its aircraft should be one of the top investment decisions for future sustainability and competitive advantage.

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Eves, Alfred Christopher, University of Western Sydney, College of Law and Business, and of Construction Property and Planning School. "Developing a NSW rural property investment performance index." THESIS_CLAB_CPPP_Eves_A.xml, 2003. http://handle.uws.edu.au:8081/1959.7/810.

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This thesis is based on the analysis of all rural property sales transactions that occurred in NSW over the period 1990-2000 and is the first complete state wide analysis of a rural property market in Australia. Previous studies on rural land performance have been restricted in both limited time periods and limited location areas. The importance of rural property, as an investment asset has been recognised in the US and UK with both countries having a rural property performance index. These indices are similar in construction, quality and reliability as the commercial property, residential property and share market indices that are also available in these countries to analyse the performance of these investment assets. Until the development of the rural property capital and total return indices in this thesis, there has never been a comprehensive and complete set of rural property investment indices available to assess the risk/return performance and investment portfolio benefits of rural property in Australia. The actual construction of the indices in this thesis have been based on the current indices produced by the Property Council of Australia for office, retail, industrial and hotel property in Australia. Based on the work in this thesis, rural property investment performance can now be compared to all major investment assets available in Australia. This research will be ongoing to ensure that the performance of rural property will be available on a semi-annual basis for use by all institutions, companies and individuals with an interest in the investment potential of rural property in Australia
Doctor of Philosophy (PhD)
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Books on the topic "Investment performance"

1

Investment performance measurement. Hoboken, N.J: J. Wiley, 2003.

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Minnesota. Legislature. Office of the Legislative Auditor. Program Evaluation Division., ed. State investment performance. St. Paul, Minn: The Division, 1991.

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Jaffe, Jeffrey F. The performance of investment newsletters. [New York, N.Y.]: Federal Reserve Bank of New York, 1998.

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Feibel, Bruce J. Measuring investment performance using the global investment performance standards (GIPS). Hoboken, N.J: Wiley, 2011.

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Philip, Lawton, and Jankowski Todd, eds. Investment performance measurement: Evaluating and presenting results. Hoboken, N.J: John Wiley & Sons, 2009.

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Adams, A. T. Fund turnover and investment performance. Edinburgh: University of Edinburgh, Centre for Financial Markets Research, Dept. of Business Studies, 1997.

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Institute, CFA. Global investment performance standards (GIPS). S.l: CFA Institute, 2005.

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Pension funds: Investment and performance. Aldershot, Hants, England: Gower, 1987.

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Williamson, Gordon K. The Longman investment companion: A comparative guide to market performance. Chicago, Ill: Longman Financial Services Pub., 1989.

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1944-, Erickson John, and Wang Ko 1955-, eds. Real estate investment trusts: Structure, performance, and investment opportunities. Oxford: Oxford University Press, 2003.

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Book chapters on the topic "Investment performance"

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Rew, John, Charles Sturge, and Julian Sandys. "Investment Performance." In Macmillan Directory of Lloyd’s of London, 51–53. London: Palgrave Macmillan UK, 1989. http://dx.doi.org/10.1007/978-1-349-10861-9_12.

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Lumme, Annareetta, Colin Mason, and Markku Suomi. "Investment Performance." In Informal Venture Capital, 75–84. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4757-2785-2_9.

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Glabadanidis, Paskalis. "Investment Performance." In Market Timing and Moving Averages, 5–29. New York: Palgrave Macmillan US, 2015. http://dx.doi.org/10.1057/9781137359834_2.

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Hobohm, Daniel. "LP Investment Performance." In Investors in Private Equity Funds, 121–78. Wiesbaden: Gabler, 2010. http://dx.doi.org/10.1007/978-3-8349-8726-6_6.

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Vishwanath, S. R. "Measuring Mutual Fund Performance." In Investment Management, 567–87. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-88802-4_25.

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Tebini, Hajer, Bouchra M’Zali, Pascal Lang, and Paz Méndez-Rodrı́guez. "Social Performance and Financial Performance: A Controversial Relationship." In Socially Responsible Investment, 53–73. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11836-9_3.

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Isaac, David. "Investment Performance and Portfolio Strategy." In Property Investment, 205–33. London: Macmillan Education UK, 1998. http://dx.doi.org/10.1007/978-1-349-14468-6_10.

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Roeder, Richard W. "Performance Requirements." In Foreign Mining Investment Law, 95–107. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-31217-0_7.

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Coleman, Les. "Performance of Mutual Funds." In Applied Investment Theory, 151–62. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-43976-1_9.

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Baum, Andrew. "Performance measurement and attribution." In Real Estate Investment, 355–92. 4th ed. London: Routledge, 2022. http://dx.doi.org/10.1201/9781003140283-18.

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Conference papers on the topic "Investment performance"

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Baumgartner, R. J. "Sustainability performance of corporations: comparison of assessment methods." In ENVIRONMENTAL ECONOMICS AND INVESTMENT ASSESSMENT 2006. Southampton, UK: WIT Press, 2006. http://dx.doi.org/10.2495/eeia060301.

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Nazarova, Yulia A., Natalia S. Shcherbakova, and Vera A. Krasavina. "Integrated Investment Projects Performance Management." In 1st International Conference on Emerging Trends and Challenges in the Management Theory and Practice (ETCMTP 2019). Paris, France: Atlantis Press, 2020. http://dx.doi.org/10.2991/aebmr.k.200201.010.

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Zhu, Lei, and Ai-ling Pan. "Debt Financing, Investment and Corporate Performance." In 2009 International Conference on Management and Service Science (MASS). IEEE, 2009. http://dx.doi.org/10.1109/icmss.2009.5301112.

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"Service Performance Indicators for Infrastructure Investment." In International Symposium for Next Generation Infrastructure Conference Proceedings. ISNGI, 2015. http://dx.doi.org/10.14324/000.cp.1469291.

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Teekasap, Pard. "Information technology investment and firm performance." In 2016 Management and Innovation Technology International Conference (MITicon). IEEE, 2016. http://dx.doi.org/10.1109/miticon.2016.8025226.

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"Investment Performance within Urban Regeneration Locations." In 10th European Real Estate Society Conference: ERES Conference 2003. ERES, 2003. http://dx.doi.org/10.15396/eres2003_100.

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"Tenant Environmental Performance and Property Investment." In Real Estate Society Conference: ERES Conference 1995. ERES, 1995. http://dx.doi.org/10.15396/eres1995_163.

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Salvado, Filipa, Maria João Falcão Silva, Paula Couto, and Manuel Baião. "Performance indicators for cost-benefit analysis applied to investment projects." In IABSE Symposium, Guimarães 2019: Towards a Resilient Built Environment Risk and Asset Management. Zurich, Switzerland: International Association for Bridge and Structural Engineering (IABSE), 2019. http://dx.doi.org/10.2749/guimaraes.2019.1230.

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<p>The decision to rehabilitate buildings in a sustainable way is complex, because the associated costs require different levels of assessment, given their relevance to all stakeholders in the decision- making, and are not always easily quantifiable. Following recent decisions of the European Union, it is urgent to carry on with studies to support for sustainable rehabilitation investment projects. In this context, the use of methodologies based on Cost-Benefit Analysis (CBA) contributes positively to support decisions. The CBA comprise methods to evaluate the net economic impact of an investment project, and can be used for a variety of interventions. The CBA is characterized by being an evaluation model that admits monetary unity as the main measure and has been predominantly used in the context of large public investments during the second half of the twentieth century.</p><p>The present paper aims to present the CBA concepts, its application to different investment projects, identifying the procedures and phases of the methodology, as well as the presentation of the main corresponding cost-benefit performance indicators. Its importance and potential will be highlighted for various stakeholders in the decision-making process, as well as examples of its application to the construction and / or rehabilitation of: i) architectural heritage; ii) school buildings; and iii) health infrastructures. Some final remarks of the study under development, to date, will be presented and discussed as well as future developments.</p>
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Shi, Jinyan, and Maojun Zhang. "Investor Sentiment, Corporate Investment, and Firm Performance." In 2010 International Conference on Information Management, Innovation Management and Industrial Engineering (ICIII). IEEE, 2010. http://dx.doi.org/10.1109/iciii.2010.67.

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Ma, Xiaoxian, Jilin Qu, and Jianquan Sun. "Decentralized Investment, Manager Structure and Firm Performance." In 2010 3rd International Conference on Business Intelligence and Financial Engineering (BIFE). IEEE, 2010. http://dx.doi.org/10.1109/bife.2010.102.

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Reports on the topic "Investment performance"

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Chappell, Nathan, and Adam Jaffe. Intangible Investment and Firm Performance. Cambridge, MA: National Bureau of Economic Research, March 2018. http://dx.doi.org/10.3386/w24363.

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Horan, Stephen, Elroy Dimson, Clive Emery, Kenneth Blay, Glen Yelton, and Ankit Agarwal. ESG Investment Outcomes, Performance Evaluation, and Attribution. CFA Institute Research Foundation, October 2022. http://dx.doi.org/10.56227/22.1.14.

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ESG investment strategies have experienced massive inflows in recent years, but investors need better tools to evaluate performance. This paper provides guidance on key challenges and proposes a performance evaluation and attribution framework.
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Jordà, Òscar, and Alan Taylor. Performance Evaluation of Zero Net-Investment Strategies. Cambridge, MA: National Bureau of Economic Research, June 2011. http://dx.doi.org/10.3386/w17150.

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Clark, Robert, Annamaria Lusardi, and Olivia Mitchell. Financial Knowledge and 401(k) Investment Performance. Cambridge, MA: National Bureau of Economic Research, May 2014. http://dx.doi.org/10.3386/w20137.

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Everett, Stephanie, Yingge Xiong, Jon Fricker, and Kumares Sinha. Measurement and Monitoring of the Performance of Highway Investment. Purdue University, December 2013. http://dx.doi.org/10.5703/1288284315218.

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Gupta, Arpit, and Kunal Sachdeva. Skin or Skim? Inside Investment and Hedge Fund Performance. Cambridge, MA: National Bureau of Economic Research, July 2019. http://dx.doi.org/10.3386/w26113.

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Aggarwal, Rajesh, and Andrew Samwick. Empire-Builders and Shirkers: Investment, Firm Performance, and Managerial Incentives. Cambridge, MA: National Bureau of Economic Research, September 1999. http://dx.doi.org/10.3386/w7335.

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Novy-Marx, Robert, and Joshua Rauh. Linking Benefits to Investment Performance in US Public Pension Systems. Cambridge, MA: National Bureau of Economic Research, October 2012. http://dx.doi.org/10.3386/w18491.

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Metrick, Andrew. Performance Evaluation with Transactions Data: The Stock Selection of Investment Newsletters. Cambridge, MA: National Bureau of Economic Research, July 1998. http://dx.doi.org/10.3386/w6648.

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Rossi, Martín A., Antonia Vázquez, and Juan Cruz Vieyra. Information Disclosure and the Performance of Public Investment: The Case of Costa Rica. Inter-American Development Bank, August 2020. http://dx.doi.org/10.18235/0002623.

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