Готові списки джерел за темами / Market performance

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Добірка наукової літератури з теми "Market performance"

Автор: Grafiati
Опубліковано: 4 червня 2021
Оновлено: 12 лютого 2022

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Статті в журналах з теми "Market performance"

1

Martin, Stephen. "Market Structure and Market Performance." Review of Industrial Organization 40, no. 2 (February 3, 2012): 87–108. http://dx.doi.org/10.1007/s11151-012-9338-8.

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2

Ismunarti, Nurbani Aulia, Bambang Sunarko, and Tohir Tohir. "ANALISIS PENILAIAN HARGA WAJAR SAHAM MENGGUNAKAN PENDEKATAN DIVIDEND DISCOUNT MODEL, PRICE EARNING RATIO DAN PRICE TO BOOK VALUE." Performance 23, no. 2 (August 10, 2017): 47. http://dx.doi.org/10.20884/1.performance.2016.23.2.277.

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The purpose of this research is to determine the intrinsic value of coal mining company stock listed in LQ45 Index during 2010-2014 period used Dividend Discount Model (DDM) Pertumbuhan Berganda, Price Earning Ratio (PER) and Price to Book Value (PBV) approach. Intrinsic value will compared with market stock value, henceforth be one of basic for taking investment decision in capial market. Difference of intrinsic stock value with market stock value is tasted by Paired Sample T-Test. For this research, the sample used is PT. Adaro Energy Tbk (ADRO), PT. Indo Tambangraya Megah Tbk (ITMG) and PT. Bukit Asam Tbk (PTBA).The result of this research showed that the market stock value of the coal mining company listed in LQ45 Index is higher than intrinsic stock value (overvalued) based DDM Pertumbuhan Berganda and PBV approach. While based PER approach, the market stock value of the coal mining company is lower than intrinsic stock value (undervalued). And then, for the result of paired sample t-test showed that based on DDM Pertumbuhan Berganda , PER and PBV approach has a significant difference between intrinsic value with market stock value.
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3

Wiedemann, Bernd, and Torsten Büssow. "Measuring Market Performance." Controlling 13, no. 4-5 (2001): 211–18. http://dx.doi.org/10.15358/0935-0381-2001-4-5-211.

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4

AYI, OS, Valentine Igbinedion, AG ABI, and Ishaku Irom. "Financial Markets Performance and Market Microstructure in Nigeria." International Journal of Economics and Management Studies 6, no. 11 (November 25, 2019): 123–33. http://dx.doi.org/10.14445/23939125/ijems-v6i11p115.

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5

Kesteloot, Katrien. "Market shares and firm performance in oligopolistic markets." European Journal of Political Economy 8, no. 1 (February 1992): 57–75. http://dx.doi.org/10.1016/0176-2680(92)90058-o.

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6

Mestelman, Stuart, and Douglas Welland. "Price flexibility and market performance in experimental markets." Economic Theory 4, no. 1 (January 1994): 105–29. http://dx.doi.org/10.1007/bf01211120.

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7

Cosmas, Alex, Robert Love, Swapnil Rajiwade, and Marco Linz. "Market clustering and performance of U.S. OD markets." Journal of Air Transport Management 28 (May 2013): 20–25. http://dx.doi.org/10.1016/j.jairtraman.2012.12.006.

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8

Rajendran, Dr T. "PERFORMANCE OF REGULATED MARKETS IN TAMIL NADU." International Journal of Research -GRANTHAALAYAH 8, no. 4 (April 29, 2020): 89–94. http://dx.doi.org/10.29121/granthaalayah.v8.i4.2020.11.

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Analysis of the structure of Regulated Market has shown that there are 19 Regulated Markets under the control of the Tirunelveli Market Committee which are located in Tirunelveli and Thoothukudi districts. Paddy, Chillies and Cotton are the three notified crops. The perceptions of farmers towards Regulated Markets are Large farmers were ignorant of the existence of Regulated Markets and were susceptible to marketing manipulations. Small size of the holdings necessitates the need for providing services of Regulated Markets to ensure better price for their produce. It is suggested that the growers may be educated regarding the benefits of using the godowns provided by the Market Committee. It is also suggested that the Market Committee may take necessary action for improving the functional efficiency of the Regulated Markets so as to minimize delay in transactions and payments. Farmers feel the disadvantage in the location of market yards, far away from their places of residence. Poor transport facilities between villages and Regulated Markets. The surplus funds of the Market Committee should be utilized for providing loans and advances against the produce of the farmers/traders by which their participation in the Regulated Markets can be improved.
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Herwartz, Helmut, and Annekatrin Niebuhr. "Regional Labor Market Performance in Europe." International Regional Science Review 40, no. 3 (July 27, 2016): 270–96. http://dx.doi.org/10.1177/0160017615603577.

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The labor market effects of the recent financial and economic crisis are rather heterogeneous across countries and regions. Such differences in labor market performance among industrialized countries are an issue of ongoing research. The objective of this article is to analyze labor market disparities among European regions and to provide evidence on the factors behind these differences. Whereas previous research focused on the effects of national labor market institutions, we also take structural characteristics of regions into account and investigate differences in labor demand responsiveness and their potential determinants. The data set covers the Nomenclature des unités territoriales statistiques 2 regions in the EU15 for the period 1980 to 2008. We employ an error correction model that is combined with spatial residual correlation. Our findings point to substantially distinct wage and output elasticities of employment among European countries and regions. Moreover, the rate of adjustment to disequilibrium is subject to significant variation across units of observation. There is robust evidence that labor market institutions affect the adjustment speed of regional labor markets and the wage elasticity of employment. Moreover, the findings suggest that some characteristics of regional labor markets matter as well. However, corresponding results are less robust compared with the evidence on labor market institutions.
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10

Lehmann, Hartmut, and Alexander Muravyev. "Labour market institutions and labour market performance." Economics of Transition 20, no. 2 (March 19, 2012): 235–69. http://dx.doi.org/10.1111/j.1468-0351.2012.00435.x.

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Дисертації з теми "Market performance"

1

Elshahat, Islam M. "Market Valuation of Environmental Performance." FIU Digital Commons, 2010. http://digitalcommons.fiu.edu/etd/309.

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This research investigated the general association between corporate environmental performance and the firms’ annual returns independent of any particular environmental event. The association analysis was based on the most recent environmental data for the years 2006, 2007, and 2008. The results indicated that while some environmental variables were significantly associated with firms’ returns, the majority were not. The results also indicated that environmental concerns were more likely to be associated with increase in the firm value than were environmental strengths; however, there were no mean differences between firms whose environmental performance increased as compared with those whose performance deteriorated. Overall, the results provided support for the perspective that environmental strengths require firm expenditures that place additional financial burdens on firms, resulting in lower stock returns.
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2

Taghian, Mehdi, and mikewood@deakin edu au. "Market fit, market orientation, and business performance: An empirical investigation." Deakin University. Deakin Business School, 2004. http://tux.lib.deakin.edu.au./adt-VDU/public/adt-VDU20050915.135152.

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This thesis investigated the congruence of an organisation to its intended target markets. It was hypothesised that the internal activities of an organisation are, potentially, structured in response to its market dynamics with the ultimate aim of achieving the organisational objective(s). Market fit has been conceptualised to represent the fit of an organisation to its operating market environment. The information for this study was collected from senior marketing decision makers, using a self-administered questionnaire. The sample comprised 216 companies from a mix of industries and organisational sizes in Australia. There is evidence to suggest that the association of market orientation and business performance is inconsistent under different business operating circumstances, due to the exclusion of the influence of key environmental moderators. The model of market fit attempts to overcome this condition. The results suggest that market fit is associated with measures of business performance, and the levels of association are different from those related to the market orientation measures, reflecting the influence of moderators. The categories of environmental moderators contributing at different levels to the market fit measure include: (1) marketing planning, (2) implementation of marketing decisions, (3) market orientation, (4) market strength, (5) generic strategies, (6) organisational culture, (7) familiarity with the marketing audit, and (8) the external environment. The marketing audit procedure has been recommended as a tool to assist with the establishment and maintenance of market fit. The results of this study indicate that organisational familiarity with, and the conduct of, the marketing audit periodically are low, and that market fit may be a better predictor of business performance, than is market orientation.
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Taghian, Mehdi. "Market fit, market orientation, and business performance an empirical investigation /." [victoria, Australia] : Deakin University, 2004. http://tux.lib.deakin.edu.au/adt-VDU/public/adt-VDU20050915.135152/.

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4

Schmidt-Ehmcke, Jens. "Technology, firm performance and market structure." kostenfrei, 2009. http://nbn-resolving.de/urn/resolver.pl?urn=urn:nbn:de:kobv:521-opus-313.

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5

Chung, WoongTae. "Outsourcing, firm performance and market exit." Connect to online resource, 2007. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3273724.

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6

Gurrib, Muhammad Ikhlaas. "Behaviour and performance of key market players in the US futures markets." Curtin University of Technology, School of Economics and Finance, 2008. http://espace.library.curtin.edu.au:80/R/?func=dbin-jump-full&object_id=117995.

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This study gives an insight into the behaviour and performance of large speculators and large hedgers in 29 US futures markets. Using a trading determinant model and priced risk factors such as net positions and sentiment index, results suggest hedgers (speculators) exhibit significant positive feedback trading in 15 (7) markets. Information variables like the S&P500 index dividend yield, corporate yield spread and the three months treasury bill rate were mostly unimportant in large players’ trading decisions. Hedgers had better market timing abilities than speculators in judging the direction of the market in one month. The poor market timing abilities and poor significance of positive feedback results suggest higher trading frequency intervals for speculators. Hedging pressures, which measure the presence of risk premium in futures markets, were insignificant mostly in agricultural markets. As a robust test of hedging pressures, price pressure tests found risk premium to be still significant for silver, crude oil and live cattle. The positive feedback behaviour and negative market timing abilities suggest hedgers in heating oil and Japanese yen destabilize futures prices, and points to a need to check CFTC’s (Commodity Futures Trading Commission) position limits regulation in these markets. In fact, large hedgers in these two markets are more likely to be leading behaviour, in that they have more absolute net positions than speculators. Alternatively stated, positive feedback hedgers in these two markets are more likely to lead institutions and investors to buy (sell) overpriced (underpriced) contracts, eventually leading to divergence of prices away from fundamentals.
Atlhought hedgers in crude oil had significant positive feedback behaviour and negative market timing skills, they would not have much of a destabilizing effect over remaining players because the mean net positions of hedgers and speculators were not far apart. While the results are statistically significant, it is suggested these could be economically significant, in that there have been no regulation on position limits at all for hedgers compared to speculators who are imposed with strict limits from the CFTC. Further, mean equations were regressed against decomposed variables, to see how much of the futures returns are attributed to expected components of variables such as net positions, sentiment and information variables. While the expected components of variables are derived by ensuring there are enough ARMA (autoregressive and moving average) terms to make them statistically and economically reliable, the unexpected components of variables measure the residual on differences of the series from its mean. When decomposing net positions against returns, it was found expected net positions to be negatively related to hedgers’ returns in mostly agricultural markets. Speculators’ expected (unexpected) positions were less (more) significant in explaining actual returns, suggesting hedgers are more prone in setting an expected net position at the start of the trading month to determine actual returns rather than readjusting their net positions frequently all throughout the remaining days of the month. While it important to see how futures returns are determined by expected and unexpected values, it is also essential to see how volatility is affected as well.
In an attempt to cover three broad types of volatility measures, idiosyncratic volatility, GARCH based volatility (variance based), and PARCH based volatility (standard deviation) are used. Net positions of hedgers (expected and unexpected) tend to have less effect on idiosyncratic volatility than speculators that tended to add to volatility, reinforcing that hedgers trading activity hardly affect the volatility in their returns. This suggest they are better informed by having a better control over their risk (volatility) measures. The GARCH model showed more reliance of news of volatility from previous month in speculators’ volatility. Hedgers’ and speculators’ volatility had a tendency to decay over time except for hedgers’ volatility in Treasury bonds and coffee, and gold and S&P500 for speculators’ volatility. The PARCH model exhibited more negative components in explaining current volatility. Only in crude oil, heating oil and wheat (Chicago) were idiosyncratic volatility positively related to return, reinforcing the suggestion for stringent regulation in the heating oil market. Expected idiosyncratic volatility was lower (higher) for hedgers (speculators) as expected under portfolio theory. Markets where variance or standard deviation are smaller than those of speculators support the price insurance theory where hedging enables traders to insure against the risk of price fluctuations. Where variance or standard deviation of hedgers is greater than speculators, this suggest the motivation to use futures contracts not primarily to reduce risk, but by institutional characteristics of the futures exchanges like regulation ensuring liquidity.
Results were also supportive that there was higher fluctuations in currency and financial markets due to the higher number of contracts traded and players present. Further, the four models (GARCH normal, GARCH t, PARCH normal and PARCH t) showed returns were leptokurtic. The PARCH model, under normal distribution, produced the best forecast of one-month return in ten markets. Standard deviation and variance for both hedgers’ and speculators’ results were mixed, explained by a desire to reduce risk or other institutional characteristics like regulation ensuring liquidity. Moreover, idiosyncratic volatility failed to accurately forecast the risk (standard deviation or variance based) that provided a good forecast of one-month return. This supports not only the superiority of ARCH based models over models that assume equally weighted average of past squared residuals, but also the presence of time varying volatility in futures prices time series. The last section of the study involved a stability and events analysis, using recursive estimation methods. The trading determinant model, mean equation model , return and risk model, trading activity model and volatility models were all found to be stable following the effect of major global economic events of the 1990s. Models with risk being proxied as standard deviation showed more structural breaks than where variance was used. Overall, major macroeconomic events didn’t have any significant effect upon the large hedgers’ and speculators’ behaviour and performance over the last decade.
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7

Khan, Aamir. "Market Orientation, Customer Selectivity and Firm Performance." Thesis, Cranfield University, 2008. http://hdl.handle.net/1826/4084.

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Market orientation is a well-known construct in the marketing literature. One reason for the extensive research on market orientation is that it is seen as the operationalization of the marketing concept itself. Extant literature provides evidence supporting the link between market orientation and firm performance. However, most of the evidence which links market orientation with firm performance comes from studies carried out in the goods context. The few studies that have been done in the services context show either a weak link with firm performance or no link at all. Further, the studies that have been carried out in the services context have generally been limited to a single industry. In this thesis, I explore the reasons as to why market orientation might be more strongly associated with firm performance in the goods context than in the services context. I suggest that one reason could be that services are by their very nature non-standardized, and that market orientation is aimed at satisfying all the customers. Therefore, market orientation may not be the dominant driver of firm performance in the services context, where it becomes very difficult to satisfy every single customer. In the goods context, however, market orientation will be a dominant driver of firm performance. I also suggest another construct, namely customer selectivity, as a driver of firm performance in the services context. Customer selectivity, it is argued, is anchored in the customer relationship management (CRM) literature. Since services are by their nature heterogeneous, i.e. non-standardized, firms which are customer selective will do well in the services context. However, one cannot exclude the possibility that, while market orientation might not be a good driver of firm performance in the services context, it might be an antecedent of customer selectivity. Therefore I develop an alternative model in which market orientation is conceptualized as a cultural orientation, and thus acts as antecedent to customer selectivity, which then leads to firm performance. To test the hypotheses which are developed in the study, I use a pre-existing scale for market orientation, and operationalize customer selectivity using existing items. All the hypotheses are tested on a multi-industry dataset. The first set of hypotheses, relating to the first model, is tested using regression analysis. The second set, relating to the alternative model, is tested using structural equation modelling. The results are, broadly speaking, consistent with the hypotheses. It is seen that market orientation is a direct driver of firm performance in the goods context, while customer selectivity is a direct driver of firm performance in the services context. Similarly, it is also seen that market orientation is an antecedent to customer selectivity. This is consistent with the results obtained in the first model. However, it is also seen that in both models, while the first dimension of market orientation (customer orientation) is associated with firm performance according to the hypotheses derived in the thesis, the second dimension of market orientation (interfunctional coordination) is not associated with firm performance. The study clarifies and delimits the role of market orientation as a direct driver of firm performance in all contexts, and suggests it leads to firm performance primarily in the goods context. Similarly, customer selectivity leads to firm performance primarily in the services context. However, the study also suggests that market orientation is an antecedent to customer selectivity in both contexts. In other worlds, market orientation plays a role in both the goods and services context, but differentially. Managerially, market orientation and customer selectivity are proposed as a pair of strategies that marketers can help their CEOs choose between or possibly combine depending on the goods-service mix that the firm offers.
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8

Persson, Fredrik, and Jonas Lindgren. "Diversification and Performance : The Nordic Media Market." Thesis, Jönköping University, JIBS, Business Administration, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-239.

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The Nordic media market has since the end of the 1990’s experienced a number of consolidations and the market has become increasingly integrated. Some companies within the market are diversified, meaning they are involved in many different kinds of businesses, while other are focused, which implies that they are focused on one business segment.

Different research views explain different motives for diversification. The resource view explain diversification by claiming that a company having underused resources needs to profitably employ them elsewhere in order to expand. The agency view explains diversification with the agent’s different incentives compared to the principal. The market power view implies that by having more resources a company can strengthen its competitiveness. Furthermore, there may be financial and synergetic motives behind diversification.

This thesis investigates the relation diversification has with size, sales growth, financial efficiency ratios, and stability. By doing this we can explain the motives behind diversification in the Nordic media market through using existing theories and hence applying a deductive research approach. The thirty largest media companies in the Nordic media market were analyzed.

The degree of diversification had a positive relationship with the total revenue of the investigated firms. Furthermore, diversified firms on average had higher revenues than its focused counterparts. The more diversified the firms are the higher sales growth they have and diversified companies had a higher average sales growth than the focused firms. A higher degree of diversification did not increase the firms’ financial efficiency and diversified firms did not have a higher average efficiency. However, one of the measured ratios, ROA, was higher for focused firms. Based on knowledge gained from portfolio theory we believed, before conducting the statistical analyses, that a higher degree of diversification would stabilize the cash flows for the investigated companies. However, no statistical evidence was found supporting that a higher degree of diversification would improve cash flow stability.

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9

Liang, Jia-Wen. "Relative performance evaluation and product market competition /." view abstract or download file of text, 2002. http://wwwlib.umi.com/cr/uoregon/fullcit?p3061955.

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Анотація:
Thesis (Ph. D.)--University of Oregon, 2002.
Typescript. Includes vita and abstract. Includes bibliographical references (leaves 75-77). Also available for download via the World Wide Web; free to University of Oregon users.
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10

Mikhalchenko, Valentina. "Macroeconomic volatility effect on labour market performance." Thesis, University of Bath, 2015. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.687336.

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Macroeconomic volatility effect on labour market performance has been detected for OECD countries during the years of 1985-2011. Current research adds a number of improvements to the subject field. Labour market performance incorporates a large number of associative indicators rather than simple unemployment rate. Variety of performance indicators has been used in attempt to underpin the system mechanism. Advanced techniques are used for volatility estimation. Distinct volatility measures are used for exchange rate, inflation and interest rate series according to their stochastic properties. For long memory inflation series ARFIMA-GARCH models have been used, for interest rates that bare asymmetry due to Central Bank and market interventions QARCH, GJR-GARCH and PARCH models have been fitted. Exchange rate series have been modelled using ARIMA-GARCH and EGARCH. In estimation of volatility effect on labour market performance either random or fixed effects models have been used. Standard errors of the models have been tested and corrected for serial correlation, heteroskedasticity and cross-sectional dependence. For the robustness of the results panel time series methods have been used where possible due to its advantages for macroeconomics models (Eberhardt (2012)). Where use of these methods has been restricted by the nature of the models, Arellano-Bond (1991) and Bruno (2005) models have been fit. Hybrid (Allison (2009)) and Correlated Random effects models (Mundalak (1978)) have been used where categorical variables have been included in the regression.
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Книги з теми "Market performance"

1

Dessalegn, Gebremeskel. Market structure, conduct, and performance: Constraints on performance of Ethiopian grain markets. Addis Ababa: Grain Market Research Project, Ministry of Economic Development and Cooperation, 1998.

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2

Process Plant EDC. Marketing Group. International market performance: Executive summary. London: National Economic Development Office, 1986.

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3

1962-, Dahlquist Julie R., ed. Technical market indicators: Analysis & performance. New York: Wiley, 1999.

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4

Holstrom, Bengt. Market liquidity and performance monitoring. [New Haven, CT]: Yale School of Organization and Management, 1992.

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5

Tachibanaki, Toshiaki, ed. Labour Market and Economic Performance. London: Palgrave Macmillan UK, 1994. http://dx.doi.org/10.1007/978-1-349-23612-1.

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6

Kane, Alex. Performance evaluation of market timers. Cambridge, MA: National Bureau of Economic Research, 1988.

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7

Brooks, R. China's labor market performance and challenges. Washington, D.C: International Monetary Fund, Asia and Pacific Dept., 2003.

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8

Nickell, Stephen. Labour market institutions and economic performance. Oxford: Institute of Economics and Statistics, University of Oxford, 1997.

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9

Abraham, Robert C. Market forecasts: Performance (enterprise) tape drives. [Ojai, Calif.]: Freeman Reports, 2004.

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10

Ramey, Garey. Product quality signaling and market performance. Stanford, Calif: Institute for Mathematical Studies in the Social Sciences, Stanford University, 1987.

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Частини книг з теми "Market performance"

1

Lambin, Jean-Jacques, and Isabelle Schuiling. "Measuring Marketing Performance." In Market-Driven Management, 535–49. London: Macmillan Education UK, 2012. http://dx.doi.org/10.1007/978-0-230-36312-0_20.

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López-Fernández, Andrée Marie. "Performance Management." In Business Leadership and Market Competitiveness, 49–69. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-03347-7_3.

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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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Glabadanidis, Paskalis. "Performance Drivers." In Market Timing and Moving Averages, 31–49. New York: Palgrave Macmillan US, 2015. http://dx.doi.org/10.1057/9781137359834_3.

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Glabadanidis, Paskalis. "Performance Sensitivity." In Market Timing and Moving Averages, 51–155. New York: Palgrave Macmillan US, 2015. http://dx.doi.org/10.1057/9781137359834_4.

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Audretsch, David B., and Talat Mahmood. "The Post-Entry Performance of New Firms." In Market Evolution, 245–55. Dordrecht: Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-015-8428-9_14.

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Yun, Liang, and Alan Bliault. "HPMV Market and Future." In High Performance Marine Vessels, 287–321. Boston, MA: Springer US, 2012. http://dx.doi.org/10.1007/978-1-4614-0869-7_8.

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Brown, Charles. "Pay and Performance." In Labour Market and Economic Performance, 216–50. London: Palgrave Macmillan UK, 1994. http://dx.doi.org/10.1007/978-1-349-23612-1_8.

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9

Mayes, David, Wolfgang Hager, Arthur Knight, and Wolfgang Streeck. "Performance and Distribution." In Public Interest and Market Pressures, 47–97. London: Palgrave Macmillan UK, 1993. http://dx.doi.org/10.1007/978-1-349-22744-0_3.

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10

Nickson, Andrew, and Richard Franceys. "Explanations of Performance and Reform Responses." In Tapping the Market, 33–49. London: Palgrave Macmillan UK, 2003. http://dx.doi.org/10.1057/9781403990129_3.

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Тези доповідей конференцій з теми "Market performance"

1

Abbasy, Alireza, Reinier van der Veen, and Rudi Hakvoort. "Possible effects of balancing market integration on performance of the individual markets." In 2011 European Energy Market (EEM). IEEE, 2011. http://dx.doi.org/10.1109/eem.2011.5953083.

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2

Kvietkauskienė, Alina, and Raimonda Martinkutė-Kaulienė. "Performance Evaluation of Stock Markets." In Contemporary Issues in Business, Management and Education. Vilnius Gediminas Technical University, 2017. http://dx.doi.org/10.3846/cbme.2017.071.

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Анотація:
The authors concentrate their attention on the performance evaluation of stock markets. The markets evaluation and selection is the important part of investment decision making. In order to develop a conceptual framework for investment decisions in financial markets, it is important to establish a logical model for market selection. The main purpose of the article – to propose the scheme of stock market evaluation and selection for investment portfolio formation. The authors propose the scheme, according to that, it is possible to analyse the issue of the market value and to select markets that may potentially generate a sustainable investment return for investor, taking into account that sustainable investment return is the stable investment return for a long period. According to the analysis of selected stock markets and their evaluation using three-dimension utility function, the authors identified the most stable markets to investors for investment portfolio formation.
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3

Vyšniauskas, Povilas, and Viktorija Stasytytė. "The Analysis of Mutual Funds’ Performance in Lithuanian Financial Market." In Contemporary Issues in Business, Management and Education. Vilnius Gediminas Technical University, 2017. http://dx.doi.org/10.3846/cbme.2017.063.

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This Article examines performance of mutual funds, which are available for Lithuanian investors in Lithuanian financial market to invest in. Lithuanian mutual funds market is very new comparing with the global financial markets. Majority of mutual funds in Lithuania are imported by Scandinavian banks as well as internationally managed, only few mutual funds are managed in Lithuania. The analysis includes Lithuanian and non-Lithuanian mutual funds in Lithuanian financial market. Period from 2008 to 2016 is analysed in order to get significant results. This study aims to analyse the performances of mutual funds in Lithuanian market on the basis of risk and return criteria using different tools such as Sharpe ratio, Treynor ratio, and Jensen Alpha and others. Also there is analysed variation of these performance measures during selected time period, and discovered periods, when mutual funds perform above and below than market indices.
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4

Usmani, Mehak, Mansoor Ebrahim, Syed Hasan Adil, and Kamran Raza. "Predicting Market Performance with Hybrid Model." In 2018 3rd International Conference on Emerging Trends in Engineering, Sciences and Technology (ICEEST). IEEE, 2018. http://dx.doi.org/10.1109/iceest.2018.8643327.

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5

Bhadra, Dipasis. "Air Traffic Performance by Market Segments." In AIAA 4th Aviation Technology, Integration and Operations (ATIO) Forum. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2004. http://dx.doi.org/10.2514/6.2004-6495.

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6

Xiaoyu, Wang, and Zhang Wenmin. "Market orientations, 3PLs synergies and performance." In 2010 2nd IEEE International Conference on Information Management and Engineering. IEEE, 2010. http://dx.doi.org/10.1109/icime.2010.5477502.

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7

Shan, Hongmei, Ying Li, Jing Shi, and Chenjing Yao. "Market Structure, Technical Efficiency and Performance." In ICMSS 2020: 2020 4th International Conference on Management Engineering, Software Engineering and Service Sciences. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3380625.3380626.

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8

Kyung, Jong-soo, Byung-woon Kim, and Dong-hee Lee. "A Comparative Analysis on Market Structure-Market Performance Model by Growth Stages in Global Mobile Market." In 2006 Technology Management for the Global Future - PICMET 2006 Conference. IEEE, 2006. http://dx.doi.org/10.1109/picmet.2006.296751.

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9

Demchenko, Yuri, Reggie Cushing, Wouter Los, Paola Grosso, Cees de Laat, and Leon Gommans. "Open Data Market Architecture and Functional Components." In 2019 International Conference on High Performance Computing & Simulation (HPCS). IEEE, 2019. http://dx.doi.org/10.1109/hpcs48598.2019.9188195.

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10

"Rambus bringing invention to market." In 2013 IEEE 22nd Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS). IEEE, 2013. http://dx.doi.org/10.1109/epeps.2013.6703449.

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Звіти організацій з теми "Market performance"

1

Kane, Alex, and Stephen Gary Marks. Performance Evaluation of Market Timers. Cambridge, MA: National Bureau of Economic Research, July 1988. http://dx.doi.org/10.3386/w2640.

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2

Niederle, Muriel, and Alvin Roth. Market Culture: How Norms Governing Exploding Offers Affect Market Performance. Cambridge, MA: National Bureau of Economic Research, February 2004. http://dx.doi.org/10.3386/w10256.

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3

Lin, Dajun, Randall Lutter, and Christopher Ruhm. Cognitive Performance and Labor Market Outcomes. Cambridge, MA: National Bureau of Economic Research, July 2016. http://dx.doi.org/10.3386/w22470.

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4

De Loecker, Jan, and Pinelopi Koujianou Goldberg. Firm Performance in a Global Market. Cambridge, MA: National Bureau of Economic Research, August 2013. http://dx.doi.org/10.3386/w19308.

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5

Davis, Steven, and John Haltiwanger. Labor Market Fluidity and Economic Performance. Cambridge, MA: National Bureau of Economic Research, September 2014. http://dx.doi.org/10.3386/w20479.

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6

Freeman, Richard. Labor Market Institutions, Constraints, and Performance. Cambridge, MA: National Bureau of Economic Research, April 1988. http://dx.doi.org/10.3386/w2560.

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7

Goda, Gopi Shah, John Shoven, and Sita Nataraj Slavov. Does Stock Market Performance Influence Retirement Intentions? Cambridge, MA: National Bureau of Economic Research, July 2010. http://dx.doi.org/10.3386/w16211.

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Freeman, Richard. Labour Market Institutions Without Blinders: The Debate over Flexibility and Labour Market Performance. Cambridge, MA: National Bureau of Economic Research, May 2005. http://dx.doi.org/10.3386/w11286.

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MacLeod, W. Bentley. Great Expectations: Law, Employment Contracts, and Labor Market Performance. Cambridge, MA: National Bureau of Economic Research, June 2010. http://dx.doi.org/10.3386/w16048.

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Dirks, J. A., J. E. Dagle, J. G. DeSteese, H. D. Huber, S. A. Smith, J. W. Currie, S. B. Merrick, and T. A. Williams. High-temperature superconducting transformer performance, cost, and market evaluation. Office of Scientific and Technical Information (OSTI), September 1993. http://dx.doi.org/10.2172/10116074.

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