Academic literature on the topic 'Investment analysis'

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Journal articles on the topic "Investment analysis":

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Nelson, Violeth D., and Sang Wuk Ahn. "Foreign Direct Investment in Tanzania. An Analysis of its Investment Laws." Journal of Global and Area Studies(JGA) 5, no. 2 (December 31, 2021): 79–98. http://dx.doi.org/10.31720/jga.5.2.4.

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Cruz, Julio, and Ariel Singerman. "Understanding Investment Analysis for Farm Management." EDIS 2019, no. 4 (August 1, 2019): 4. http://dx.doi.org/10.32473/edis-fe1060-2019.

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Investment decisions are among the most important decisions growers make. In many cases, those investments are in capital assets such as establishing a new orchard or purchasing a new piece of equipment. The process for evaluating those investments is called investment analysis or capital budgeting. This 4-page fact sheet written by Julio Cruz and Ariel Singerman and published by the UF/IFAS Food and Resource Economics Department reviews net present value and the internal rate of return, the two main criteria for decision making when evaluating a decision to invest in a capital asset. https://edis.ifas.ufl.edu/fe1060
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Maslikhova, Elena A., Yulia M. Ilinykh, and Svetlana V. Danilova. "Comparative analysis of individual investment accounts of commercial banks of Russia." Siberian Financial School, no. 2 (September 8, 2022): 88–95. http://dx.doi.org/10.34020/1993-4386--2022-2-88-95.

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An individual investment account as a financial instrument for long-term investments is aimed at increasing funds by investing in securities. It allows investors to form a diversified investment portfolio of investments by acquiring ownership of securities. The article is devoted to the analysis of the current state and prospects for the development of individual investment accounts. The paper reveals the concept and essence of individual investment accounts, their advantages and disadvantages are given. A comparative analysis of individual investment accounts in Russian credit institutions was also carried out.
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Kekytė, Ieva, and Viktorija Stasytytė. "Comparative Analysis of Investment Decision Models." Mokslas - Lietuvos ateitis 9, no. 2 (June 2, 2017): 197–208. http://dx.doi.org/10.3846/mla.2017.1023.

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Rapid development of financial markets resulted new challenges for both investors and investment issues. This increased demand for innovative, modern investment and portfolio management decisions adequate for market conditions. Financial market receives special attention, creating new models, includes financial risk management and investment decision support systems.Researchers recognize the need to deal with financial problems using models consistent with the reality and based on sophisticated quantitative analysis technique. Thus, role mathematical modeling in finance becomes important. This article deals with various investments decision-making models, which include forecasting, optimization, stochatic processes, artificial intelligence, etc., and become useful tools for investment decisions.
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Jurša, Aleksejs. "Structural Analysis of Inward Foreign Direct Investment in Latvia." Humanities and Social Sciences: Latvia 29, no. 1 (June 2021): 76–94. http://dx.doi.org/10.22364/hssl.29.1.05.

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The aim of this article is to investigate the activity of foreign direct investors in Latvia and find out what is the main source of financing for foreign investors – new investments or reinvested earnings.In order to achieve the set goal and test the hypothesis, the methodology of Sixth Edition of the International Monetary Fund’s Balance of Payments and International Investment Position Manual was used to define the types of foreign direct investment. This methodology was adapted to Latvian data. At the request of the author, Ltd Lursoft IT selected business data on all registered companies with foreign capital in Latvia since 2005 and aggregate data were used in the analysis.Foreign direct investment in Latvia flows mainly in the form of reinvested earnings, due to the profit earned from operating activities in Latvia. While new investments or greenfield investments in equity is lower compared to the amount of reinvested earnings. The results of the study reflect the business results of foreign direct investors in Latvia, as well as their actions in relation to the earned profit from operating activities. These results could be used by the Ministry of Economics of the Republic of Latvia and the Investment and Development Agency of Latvia to improve Latvia’s investment environment and im¬plement a more effective investment attraction strategy.
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Mishra, Sagarika, and Mike T. Ewing. "Financial constraints and marketing investment: evidence from text analysis." European Journal of Marketing 54, no. 3 (February 27, 2020): 525–45. http://dx.doi.org/10.1108/ejm-01-2019-0090.

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Purpose The purpose of this study to examine the effect of financial constraint on intangible investment because intangible investment provides an overall picture of marketing investment and activity. Intangible investment also plays a significant role in facilitating future sales. Using a new measure of intangible investment (Peters and Taylor, 2017), the authors first establish that intangible investment is positively related with future sales. Then, using a new text-based measure of financial constraint, the authors show that financial constraint has a significant negative effect on future intangible investments after controlling for other factors. Intangible investment has three components. The first is R&D, the second is 30 per cent of selling and general administrative expense (SGA) and the third is other intangibles. The authors find that the negative and significant effect of financial constraint on 30 per cent SGA is stronger. This indicates that financially constrained firms reduce marketing related investments. The authors then considered firm size and found that smaller firms facing financial constraint continue to increase their intangible investments, whereas larger firms reduce their intangible investment. As a robustness test, the authors use advertising expenditure as a measure of promotion related investment and find that financial constraint has a negative effect on advertising spending. The authors then use two traditional measures of financial constraint in their analysis to compare with the new text-based measure. Design/methodology/approach The authors use ordinary least squares with cluster robust standard error to conduct their empirical analysis. Findings First the authors establish that intangible investment positively affects future sales. Further the authors find that financial constraint negatively affects intangible investment. Moreover, financial constraint negatively affects the brand capital of intangible investment. Research limitations/implications The authors did not conduct any industry specific analysis to see how financial constraints affect intangible investment across different industries. Industry specific analysis is important because in some industries/sectors intangibles are clearly more important than in others, so this is an important avenue for future research. It will also be interesting to explore if and how financial constraint has a mediating effect on sales growth via intangible investment and different components of intangibles. Practical implications This study identifies another important factor that can negatively affect brand capital investment. Originality/value The authors have used a measure of financial constraint and text mined all the annual reports of US firms for the period of 1994-2016 to compute this measure.
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Shim, Eui Sup, and Dong Hyeock Lim. "Analysis on Determinants of Real Estate Equity Investment among Alternative Investments in Financial Institutions." Korean Association Of Public Policy 28, no. 1 (May 30, 2022): 55–80. http://dx.doi.org/10.31307/kjpp.2022.28.1.55.

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Interest rates, which have continued to fall since the 2008 financial crisis, have recently fallen to 0.5% of the Bank of Korea's benchmark interest rate, entering an ultra-low interest rate era. Investors in financial institutions are paying attention to alternative investment assets to cope with the weakening profitability of their investments, as it is difficult to expect profitability from bonds and stocks, which are traditional investment assets. Among them, real estate investment has steadily become an essential factor in institutional investors' portfolios, as real estate investments can be guaranteed high returns depending on location and supply and demand conditions, but are relatively less affected by financial market trends. In particular, financial institutions, which are actively expanding alternative investments due to falling operating returns due to the worsening economy, are focusing on profitable real estate equity investments. However, despite the growing demand for real estate Equity investment by financial institutions, there are few specific investment criteria for which investment impact factors are determined, in the case of domestic real estate investment decision-makers, few have focused on investment. The objective of this study is to empirically analyze and identify the investment impact factors on the investment satisfaction and willingness of financial institutions in the real estate equity investment market, and to specifically analyze the differences in the types of investment impact factors. This study first examined the preceding research to derive the influences of real estate equity investment, and conducted a survey on investors from financial institutions. In addition, investor characteristics used descriptive statistical analysis, and factor analysis was conducted to verify the validity of the survey variables. Based on this, a regression analysis was conducted to test the hypothesis, and additionally a descriptive statistical analysis was used to analyze differences in the importance of investment impact factors depending on the type of financial institution. The results of the study are summarized as follows. First, as a result of hypothesis tests on investment impact factors and investment satisfaction for investors in financial institutions, location characteristics, profitability, and stability were adopted, and location characteristics were the factors that affected investment satisfaction the most. A hypothesis test of investment impact factors and willingness to reinvest in financial institutions showed that profitability and stability had a positive impact on the willingness to reinvest. Second, after analyzing the difference in importance of investment impact factors according to the type of financial institution, bank investors value stability and capital investors value timeliness the most among the investment impact factors. Investor in insurance companies put the most importance on profitability. Overall, investors in financial institutions participating in real estate equity investments demonstrate similar relationships between investment impact factors, investment satisfaction, and reinvestment intentions, and empirically analyzed that there are also differences in investment impact factors. These findings suggest that in financial institutional investment markets, financial institutional investors make decisions based on profitability, stability and location characteristics, but consider differences in investment propensity for financial institutions.
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Solomko, M. N. "COMPARATIVE ANALYSIS OF INVESTMENT EXPENDITURES IN BUDGETS: REGIONAL ASPECT." Vestnik Universiteta, no. 4 (June 29, 2020): 166–73. http://dx.doi.org/10.26425/1816-4277-2020-4-166-173.

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The high level of differentiation of the constituent entities of the Russian Federation determines different approaches to the policy of budget investment. The purpose of the paper is to identify common regional trends in the implementation of capital investments at the expense of budget funds, interregional differences and interpret it. In the study, horizontal and vertical analysis of budget investments has been made, the lack of a significant relationship between the level of budgetary security of the constituent entity of the Russian Federation and the scales of its budget investments has been shown. It has been shown that the investment activity of the constituent entities of the Russian Federation is not a determining fac tor, but an important factor of their investment attractiveness. The materials of the article can be used as an information base for further theoretical and applied research on the expenditures of regional budgets in general and the problem of budget investment in particular.
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Nkasu, Michael M. "Systematic Investment Analysis." Industrial Management & Data Systems 92, no. 7 (July 1992): 17–21. http://dx.doi.org/10.1108/02635579210017561.

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Crémer, Jacques. "Multicountry investment analysis." Journal of Development Economics 26, no. 2 (August 1987): 419–22. http://dx.doi.org/10.1016/0304-3878(87)90040-x.

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Dissertations / Theses on the topic "Investment analysis":

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Pfeffer, Mary Graves. "Venture Capital Investment and Protocol Analysis." Thesis, North Texas State University, 1987. https://digital.library.unt.edu/ark:/67531/metadc331014/.

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This study used protocol analysis to identify key variables in the venture capital investment decision-making process. The study used a fictional business plan which was based on six actual business plans. This fictional business plan was presented to ten venture capitalists who were asked to review it to decide whether to interview the investee. The protocols obtained from these subjects were analyzed to determine patterns within the subjects' review. The sections of the business plan which were commonly reviewed first were the deal structure, the executive summary, and the management section. The management section was used by the greatest number of subjects. The market section was used the greatest number of times. The data were also organized by type of operators used in each subject's protocols. Information Search/Retrieval operators were most common, followed by Task Structuring/Set Goal operators. When classified into the four major categories of Task Structuring/Set Goal, Information Acquisition, Analytical/ Inferential, and Choice operators, Analytical/Inferential operators were used most frequently. Choice operators were least used. The phrases were analyzed by the relevant section in the business plan. The market received the greatest number of references, followed by references to the product and to management. However, when references to the income statement and balance sheet were combined as phrases relevant to the financial statements, the financial statements were referred to more frequently than the product or the people. The subjects appeared to use an unidentified choice program within which certain models could be identified as subroutines. The subjects used an elimination-by-aspects model to screen the business plan. If the business plan met the criteria within the elimination-by-aspects model of the subject, the subject used an additive/nonlinear model for the remainder of the review. The results of this study indicate that financial statements provide information important in the venture capital investment decision-making process. This finding is contrary to the advice usually given to potential venture capital investees.
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Renzi, J. Tyler. "Sustainable Investment and Analysis." Thesis, The University of Arizona, 2010. http://hdl.handle.net/10150/146637.

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As sustainability becomes increasingly more important to large, multi-national corporations, it has become just has significant to investors and their investment strategies. As both students and investors for the University of Arizona Foundation, we believe that sustainability -- like most financial data -- is extremely important when making an investment decision. Our research showed that sustainability is very different from corporate social responsibility in that the sustainability approach does not focus solely on fixing environmental or social problems. Rather, sustainable companies have a keen eye for keeping these issues in mind while delivering sustainable products that ultimately add to shareholder value. With such a wide range of issues in mind, sustainable companies consistently proved to have management teams that effectively and successfully dealt with these problems simultaneously. In order to understand why companies are considered "sustainable", we found it necessary to examine the Dow Jones Sustainability Index (DJSI), what qualifies a company for the DJSI, and how companies are ranked within the index. Finally, we used the sustainability criteria recommended by fellow classmate Long Hoang Diep to evaluate the financial impact that sustainability aspects have had on Intel Corporation.
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Choi, Nicole Yunjeong. "Institutional investors and financial statement analysis." Pullman, Wash. : Washington State University, 2009. http://www.dissertations.wsu.edu/Dissertations/Spring2009/N_Choi_041709.pdf.

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Saboo, Jai Vardhan. "An investment analysis model using fuzzy set theory." Thesis, Virginia Polytechnic Institute and State University, 1989. http://hdl.handle.net/10919/50087.

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Traditional methods for evaluating investments in state-of-the-art technology are sometimes found lacking in providing equitable recommendations for project selection. The major cause for this is the inability of these methods to handle adequately uncertainty and imprecision, and account for every aspect of the project, economic and non-economic, tangible and intangible. Fuzzy set theory provides an alternative to probability theory for handling uncertainty, while at the same time being able to handle imprecision. It also provides a means of closing the gap between the human thought process and the computer, by enabling the establishment of linguistic quantifiers to describe intangible attributes. Fuzzy set theory has been used successfully in other fields for aiding the decision-making process. The intention of this research has been the application of fuzzy set theory to aid investment decision making. The research has led to the development of a structured model, based on theoretical algorithms developed by Buckley and others. The model looks at a project from three different standpoints- economic, operational, and strategic. It provides recommendations by means of five different values for the project desirability, and results of two sensitivity analyses. The model is tested on a hypothetical case study. The end result is a model that can be used as a basis for promising future development of investment analysis models.
Master of Science
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Rubio, Jose F. "Analysis of investment strategies: a new look at investment returns." ScholarWorks@UNO, 2013. http://scholarworks.uno.edu/td/1759.

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Chapter 1: Intuition suggests that constraint investment strategies will result in losses due to a limited portfolio allocation. Yet prior research has shown that this is not the case for a particular set of constraint mutual funds so-called Socially Responsible Investing, SRI. In this paper I show that such assets do face loses to portfolio efficiency due to their limited asset universe. I contribute to the literature by employing two techniques to estimate asset performance. First, I estimate a DEA based efficiency score that allows for direct comparison between ex-post efficiency rankings and test the ex-ante relevance of such scores by including them into asset pricing models. Second, I further check if these results are consistent when comparing the performance of ethical funds based on the alphas of traditional asset pricing models even after adjusting for coskewness risk. Overall, the results suggest that ethical funds underperform traditional unconstraint investment assets. Chapter 2: Starting after the turn of the millennium, inflation has been persistently higher than the short term T-Bill rate. Following the traditional view, this will imply a negative real rates of return that have become commonplace in the US economy. This paper examines the possibility that if an inflation risk discount contained in nominal rates exist and can explain low or negative real rates, using consumption based asset pricing model. Evidence suggests using the traditional Fisher equation to calculate real rates leads to an overestimate of real rates due to a modest inflation risk premium. To achieve non-negative real rates in a consumption based asset pricing framework the covariance between consumption growth and inflation innovations would have to be at least thirty times larger than empirically found, and in opposite direction, for the Post-Volker era. Still, though the after 2000’s covariance is positive, which suggest a discount on risk free, the magnitude is still too small to explain negativity of real rates. JEL Classification : E21, E31 Key Words : Mutual Funds, Performance, Data Envelop Analysis, Coskewness, Risk Factors, Real Returns, Consumption Bases Asset Pricing Models, Inflation
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Joffrion, Justin Louis. "Determinants of foreign direct investment entry into China." Thesis, Georgia Institute of Technology, 2003. http://hdl.handle.net/1853/30560.

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Yu, S.-M. "Information in property investment analysis." Thesis, University of Reading, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.233712.

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Brito, António Rui Gonçalves. "Case Study : olive investment analysis." Master's thesis, Instituto Superior de Economia e Gestão, 2016. http://hdl.handle.net/10400.5/14011.

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Mestrado em Finanças
Nos últimos anos, tem vindo a verificar-se um grande investimento, nacional e estrangeiro, na cultura do olival no Alentejo. Assistiu-se a um nascer de um novo tipo de compasso entre as oliveiras, surgindo o olival intensivo e mais tarde o superintensivo. Auxiliado pelas novas mecanizações na agricultura e pela possibilidade de rega, surgiu a dúvida sobre qual o melhor tipo de olival em termos financeiros. Como tal, este trabalho tem como principal objetivo determinar qual o olival que representa uma melhor oportunidade de investimento. Para analisar esta questão serão utilizados os métodos tradicionais de avaliação de projetos, nomeadamente o NPV, TIR, IR e Payback, métodos estes que serão fundamentais para nos proporcionar uma análise profunda a nível financeiro. Adicionalmente, será realizada uma análise micro e macroenómica recorrendo às 5 forças de Porter e à análise SWOT, deste modo conseguimos explorar os riscos da empresa e do respetivo setor.
In recent years, Alentejo has seen an increase in national and international investment in olive groves. New types of olive groves were created, first on intensive density and later on superintensive density. With the development of agriculture mechanization as well as the possibility of irrigation, the doubt of which kind of olive grove provides the best results in financial terms has appeared. This study aims to determine which olive grove provides the best investment opportunity. To analyse this investment, we used the traditional methods of project evaluation, such as the Net Present Value (NPV), Internal Rate of Return (IRR), Payback and Profitability Index (PI). Additionally, we also applied a microeconomic and macroeconomic analysis in order to explore the industry and company's business risks according to Porter's five forces and SWOT analysis
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Keffeler, Bryce Thomas. "Security Investment Analysis: Meritage Homes." Thesis, The University of Arizona, 2014. http://hdl.handle.net/10150/320203.

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Young, Jared Jeffrey. "Security Investment Analysis: Meritage Homes." Thesis, The University of Arizona, 2014. http://hdl.handle.net/10150/322109.

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Books on the topic "Investment analysis":

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Reilly, Frank K. Investment analysis & portfolio management. Mason, OH: South-Western Cengage Learning, 2012.

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Huang, Stanley S. C. Investment analysis and management. 2nd ed. Boston: Allyn and Bacon, 1987.

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Murphy, Austin. Scientific investment analysis. Washington: Orchises, 1994.

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1931-, Saw Seww-Hock, and Lim Choo Peng, eds. Investment analysis & management. Singapore: Longman Singapore Publishers, 1990.

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Murphy, Austin. Scientific investment analysis. Goodlettsville, Tennessee: SIA, 2008.

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Murphy, Austin. Scientific investment analysis. 7th ed. Goodlettsville, Tenn: SIA Pub., 2010.

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Mennes, L. B. M. Multicountry investment analysis. Baltimore: Published for the World Bank [by] The Johns Hopkins University Press, 1985.

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Murphy, Austin. Scientific investment analysis. 6th ed. Goodlettsville, TN: SIA Pub., 2009.

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Murphy, Austin. Scientific investment analysis. 4th ed. Waterloo, Iowa: SIA, 2007.

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Marx, Johan. Investment management. 2nd ed. Pretoria [South Africa]: Van Schaik, 2006.

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Book chapters on the topic "Investment analysis":

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Jones, Byron W. "Investment Analysis." In Mechanical Engineers' Handbook, 564–82. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2006. http://dx.doi.org/10.1002/0471777463.ch17.

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Olson, Kent, and John Westra. "Investment Analysis." In The Economics of Farm Management, 404–28. 2nd ed. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003280712-20.

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Baddeley, M. C. "Investment and development: a cross-sectional analysis." In Investment, 181–92. London: Macmillan Education UK, 2003. http://dx.doi.org/10.1007/978-1-4039-1864-2_14.

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Krishnamurti, Chandrasekhar, and S. R. Vishwanath. "Accounting and Financial Analysis." In Investment Management, 109–37. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-88802-4_6.

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Giessmann, Andreas. "Investment Profitability Analysis." In Coating Substrates and Textiles, 217–36. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29160-9_9.

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De Luca, Pasquale. "Investment Analysis Rules." In Springer Texts in Business and Economics, 173–80. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-18300-3_8.

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Mishan, E. J., and Euston Quah. "Crude investment criteria." In Cost-Benefit Analysis, 111–14. Sixth edition. | Milton Park, Abingdon, Oxon ; New York : Routledge, 2020.: Routledge, 2020. http://dx.doi.org/10.4324/9781351029780-22.

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Hult, Henrik, Filip Lindskog, Ola Hammarlid, and Carl Johan Rehn. "Quadratic Investment Principles." In Risk and Portfolio Analysis, 85–126. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-4103-8_4.

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Vishwanath, S. R. "Real Options Perspective of Security Analysis." In Investment Management, 283–97. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-88802-4_12.

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Mishan, E. J., and Euston Quah. "Introduction to investment criteria." In Cost-Benefit Analysis, 107–10. Sixth edition. | Milton Park, Abingdon, Oxon ; New York : Routledge, 2020.: Routledge, 2020. http://dx.doi.org/10.4324/9781351029780-21.

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Conference papers on the topic "Investment analysis":

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Pieczulis, Ina, and Kamilė Taujanskaitė. "Analysis of cryptocurrencies market: current situation, tendencies of household investment and future forecasting." In Contemporary Issues in Business, Management and Economics Engineering. Vilnius Gediminas Technical University, 2019. http://dx.doi.org/10.3846/cibmee.2019.034.

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Purpose – the purpose of this study is to analyse the cryptocurrency market and to forecast household investments in it from a theoretical and practical point of view. Research methodology – in order to achieve the aim of the article, scientific literature and statistical data analysis, comparative analysis and SWOT analysis were done. Also, ARIMA forecasting model was adapted to forecast Household investment in cryptocurrencies. Findings – the first part of the study presents the theoretical aspects of cryptocurrencies. An overview of the cryptocurrencies and their market is provided, focusing on the concept of Bitcoins, its’ mining and technical principles of operation. The second part of this study is intended to analyse the cryptocurrencies market and its dynamics. In the last part of the research tendencies of household investments in cryptocurrencies are examined for the period of 2016–2019 according to the data from cryptocurrency exchange. Also, household investments in cryptocurrencies are analysed and major future investment trends and seasonality are identified as well. Household future investment in cryptocurrencies is also predicted. Research limitations – data used in the research only includes currency exchange information, that may be inaccurate when concluding the main trends of the market. Practical implications – the practical results of the study may be useful for households interested in investing, especially in risky investment alternatives. Results of the research justify the dynamics of the currency market and the fluctuation of cryptocurrencies’ prices that shows that investment in cryptocurrencies is very variable, unstable and risky. Originality/Value – cryptocurrencies market is particularly dynamic and fast-changing, so the newest scientific investigations are urgent. In this research, an attempt was made to forecast household investment in main cryptocurrencies
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Huang, Yishan, Guanhua Xu, and Xikai Yang. "Investment Analysis of PDD." In 2021 International Conference on Financial Management and Economic Transition (FMET 2021). Paris, France: Atlantis Press, 2021. http://dx.doi.org/10.2991/aebmr.k.210917.042.

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Zhihong, Xu, and Hu Zhiqiang. "Fixed assets investment analysis." In 2011 International Conference on E-Business and E-Government (ICEE). IEEE, 2011. http://dx.doi.org/10.1109/icebeg.2011.5882361.

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Hitzhusen, F. J. "Cost-benefit analysis: applications to restoration of rivers." In ENVIRONMENTAL ECONOMICS AND INVESTMENT ASSESSMENT 2006. Southampton, UK: WIT Press, 2006. http://dx.doi.org/10.2495/eeia060221.

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Kuvarzina, Olga. "Public investment strategy: implementation of system aspects." In System analysis in economics – 2018. Prometheus publishing house, 2018. http://dx.doi.org/10.33278/sae-2018.eng.336-339.

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Algan, Neşe, Harun Bal, and Murat Bayraktar. "The Impact of Foreign Direct Investment on Poverty Reduction in Turkey: A Time Series Analysis." In International Conference on Eurasian Economies. Eurasian Economists Association, 2021. http://dx.doi.org/10.36880/c13.02502.

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Foreign direct investment can be outlined as the net inflows of investment to take possession of permanent management. Foreign direct investments can support poverty alleviation especially for developing countries which needs capital. Global foreign direct investment sums $1.5 trillion in 2019 decreased to a calculated $859 billion in 2020 as the UNCTAD report indicates. Foreign direct investment flows are expected to remain weak with uncertainty due to Covid-19. For almost 25 years, extreme poverty, was steadily declining, on the contrary, expected to rise in 2020 between 88 million and 115 million added as the disruption of the Covid-19 on the global supply chain due to lockdowns. Time series analysis of foreign direct investments and poverty reduction relationship for Turkey between the 1996-2019 period confirms that foreign direct investment net infows reduce poverty: %1 increase of FDI inflow to Turkey increases % 0.011 of household final consumption which used as proxy for poverty. Turkish policymakers should develop an appropriate economic environment to appeal as much as foreign direct investment to Turkey.
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Rui Qian. "New electrical energy investment analysis." In 2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC). IEEE, 2011. http://dx.doi.org/10.1109/aimsec.2011.6011253.

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Sun, Mei, Yongchao Sun, Kejin Sun, Xuelian Tang, and Chuanxiao Li. "Analysis of Digital Currency Investment." In ICBCT 2019: 2019 International Conference on Blockchain Technology. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3320154.3320155.

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Zhang, Ge, and Ya Dong. "Analysis of energy investment efficiency." In 2013 International Conference on Manufacture Engineering and Environment Engineering. Southampton, UK: WIT Press, 2013. http://dx.doi.org/10.2495/meee130021.

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Dong, Chen. "Risk Analysis of Investment Projects." In 2010 International Conference on E-Business and E-Government (ICEE). IEEE, 2010. http://dx.doi.org/10.1109/icee.2010.1379.

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Reports on the topic "Investment analysis":

1

Hou, Kewei, Haitao Mo, Chen Xue, and Lu Zhang. Security Analysis: An Investment Perspective. Cambridge, MA: National Bureau of Economic Research, July 2019. http://dx.doi.org/10.3386/w26060.

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Glaeser, Edward, and James Poterba. Economic Analysis and Infrastructure Investment. Cambridge, MA: National Bureau of Economic Research, December 2020. http://dx.doi.org/10.3386/w28215.

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Javid, Muhammad, Fakhri Hasanov, Carlo Bollino, and Marzio Galeotti. Sectoral Investment Analysis for Saudi Arabia. King Abdullah Petroleum Studies and Research Center, August 2021. http://dx.doi.org/10.30573/ks--2021-dp011.

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Abstract:
This study aims to investigate the determinants of short- and long-run investment behavior in Saudi Arabia for eight non-oil sectors. Saudi Arabia is currently proceeding with its historic Vision 2030 reform plan, which aims to significantly increase the private sector’s contribution to the country’s gross domestic product. Thus, analyzing investments at the sectoral level is important for Saudi Arabia. Such an analysis can provide policymakers with a deeper understanding of potential opportunities for boosting private sector growth.
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Baldwin, Richard, Rikard Forslid, and Jan Haaland. Investment Creation and Investment Diversion: Simulation Analysis of theSingle Market Programme. Cambridge, MA: National Bureau of Economic Research, November 1995. http://dx.doi.org/10.3386/w5364.

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Shin, Hyun-Han, and Rene Stulz. An Analysis of Divisional Investment Policies. Cambridge, MA: National Bureau of Economic Research, June 1996. http://dx.doi.org/10.3386/w5639.

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Wolff, Andrew D. Dynamic Analysis of U.S. Direct Investment. Fort Belvoir, VA: Defense Technical Information Center, May 1992. http://dx.doi.org/10.21236/ada257134.

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Rose, Dietmar W., Charles R. Blinn, and Gary J. Brand. A guide to forestry investment analysis. St. Paul, MN: U.S. Department of Agriculture, Forest Service, North Central Forest Experiment Station, 1988. http://dx.doi.org/10.2737/nc-rp-284.

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McGill, Karis, and Eleanor Turner. Return on Investment Analysis of Private Sector Facilitation Funds for Rwandan Agribusinesses. RTI Press, August 2020. http://dx.doi.org/10.3768/rtipress.2020.rr.0042.2008.

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This study analyzes the return on investment for an agribusiness facilitation fund implemented in Rwanda. Combining project monitoring data with supplementary surveys and interviews of recipient agribusinesses, we find a positive return on investment in terms of farmer income generated per dollar spent by the US government. To determine the commercial viability of the investments, we estimate the payback period and find the median time it will take a firm to recoup the entire investment through profits is 3.7 years. We estimate the net present value of the entire fund portfolio to be $12.5 million. These estimates rely on conservative assumptions and likely underrepresent the profitability of the investments. Given the positive returns and commercial viability of the agribusinesses, we examine the fund’s role as a first step to “graduate” firms toward investment readiness. Although three firms did access equity investment, we find that the majority of the businesses in the portfolio do not meet investor requirements for deal size and management capacity and are more appropriately financed by commercial lenders. We conclude with recommendations for the implementation and measurement of similar funds.
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Orsagh, Matt. Climate Change Analysis in the Investment Process. CFA Institute, September 2020. http://dx.doi.org/10.2469/47.20.1.1.

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This report presents case studies aimed to educate investors about what climate change is and its economic impacts, best practices in analysis, and where to find information for integrating climate change in the investment process.
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Gilchrist, Simon, and John Williams. Putty-Clay and Investment: A Business Cycle Analysis. Cambridge, MA: National Bureau of Economic Research, November 1998. http://dx.doi.org/10.3386/w6812.

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