Auswahl der wissenschaftlichen Literatur zum Thema „Investment analysis“

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Zeitschriftenartikel zum Thema "Investment analysis"

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Salin, V. N., O. Yu Sitnikova , O. G. Tret’yakova  und E. P. Shpakovskaya . „Investment Analysis and Management“. Management Sciences 13, Nr. 2 (21.07.2023): 109–20. http://dx.doi.org/10.26794/2304-022x-2023-13-2-109-120.

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The rate of economic growth is largely determined by the level of investment activity, as well as by the scale of investment activity, the expansion of which requires an increase in investment and its efficiency. Objective economic and statistical assessment of investment provides an opportunity to analyze the results of the process of management of this sphere of activity. The purpose of the work is to investigate changes in the composition and structure of investments, factors influencing and limiting the growth of their funding sources, as well as to analyze the dynamics of investment activity in the Russian Federation in recent years on the basis of data from the Federal State Statistics Service. The paper provides definitions of investments and considers their types. In the course of the study, the authors applied such scientific methods as structural and dynamic data analysis, theoretical research in the form of generalization, comparison and special analytical procedures. The results obtained can be used to prioritise investment management and management decisions.
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Nelson, Violeth D., und Sang Wuk Ahn. „Foreign Direct Investment in Tanzania. An Analysis of its Investment Laws“. Journal of Global and Area Studies(JGA) 5, Nr. 2 (31.12.2021): 79–98. http://dx.doi.org/10.31720/jga.5.2.4.

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Maslikhova, Elena A., Yulia M. Ilinykh und Svetlana V. Danilova. „Comparative analysis of individual investment accounts of commercial banks of Russia“. Siberian Financial School, Nr. 2 (08.09.2022): 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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Cruz, Julio, und Ariel Singerman. „Understanding Investment Analysis for Farm Management“. EDIS 2019, Nr. 4 (01.08.2019): 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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Ding, Tianying. „Analysis of Corporate Long-Term Investment Decisions“. Advances in Economics, Management and Political Sciences 55, Nr. 1 (01.12.2023): 190–95. http://dx.doi.org/10.54254/2754-1169/55/20231006.

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The incorporation of long-term investment has consistently held a prominent position within the realm of business advancement, exerting a substantial influence on business circumstances and economic outcomes. Consequently, delving into the matter of effectively managing risk and attaining commensurate returns warrants thorough investigation. The company's experience is replete with examples of unsuccessful long-term investment choices. This paper discusses the implementation of long-term investment analysis in enterprises. It employs the methodology of literature analysis and review to examine the reasons behind enterprises engaging in long-term investments. Furthermore, it provides a detailed analysis of investment decision-making methods, identifies associated challenges, and proposes corresponding solutions. The goal of this paper is to assist enterprises in making informed decisions regarding long-term investments and ultimately selecting the most optimal choices.
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Kekytė, Ieva, und Viktorija Stasytytė. „Comparative Analysis of Investment Decision Models“. Mokslas - Lietuvos ateitis 9, Nr. 2 (02.06.2017): 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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Gui, Yong-Jie, Jin-Gu Kang und Yoon-Say Jeong. „Analysis of the Effects of Investment Facilitation Levels on China's OFDI: Focusing on RCEP Member States“. Journal of Korea Trade 27, Nr. 3 (30.06.2023): 161–78. http://dx.doi.org/10.35611/jkt.2023.27.3.179.

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Purpose – purpose of this paper is to analyze the effects of the investment facilitation levels of 11 RCEP countries (excluding Myanmar, Brunei, and Laos due to lack of data) on China’s outward foreign direct investments(OFDI) using balanced panel data from 2010 to 2019. Design/methodology – First, four investment facilitation measurement indicators (regulatory environment, infrastructure, financial market, ease of doing business) were selected,investment facilitation scores of the 11 countries were obtained using the principal component analysis, an investment gravity model was established with nine explanatory variables (investment facilitation level, market size, population, geographic distance, degree of opening, tax level, natural resources, whether the country is an APEC member or not, and whether a valid bilateral investment treaty with China has been concluded) were used to establish an investment gravity model, and regression analyses were conducted with OLS and system GMM. Findings – The results of the regression analyses showed that investment facilitation levels had the greatest effect on China's OFDI, all four first-level indicators had positive effects on China's OFDI, and among them, the institutional environment had the greatest effect. In addition, it was shown that explanatory variables such as market size, population, geographical distance, degree of openness, natural resources, and whether or not a valid bilateral investment treaty has been concluded would have positive effects on China's OFDI, while tax levels and APEC membership would impede China's OFDI to some extent. Originality/value – Since the Regional Comprehensive Economic Partnership (RCEPT) came into effect not long ago, there are not so many studies on the effects of investment facilitation levels of RCEP member states on China's OFDI, and the investment facilitation measurement index constructed in this paper is relatively systematic and scientific because it includes all the contents of investment facilitation related to the life cycle of company’s foreign direct investments.
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Jurša, Aleksejs. „Structural Analysis of Inward Foreign Direct Investment in Latvia“. Humanities and Social Sciences: Latvia 29, Nr. 1 (Juni 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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Bratiloveanu, Florin Ionut, Ionut Marius Croitoru, Cosmin Alexandru Spiridon, Paula Paraschiva Spiridon, Luciana Dragomir und Romanita Jumanca. „Investment Decision Criteria – Bibliometric Analysis“. Economic Insights – Trends and Challenges 2023, Nr. 4 (30.12.2023): 91–106. http://dx.doi.org/10.51865/eitc.2023.04.08.

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The present study wants to analyze how the criteria underlying the decision to make an investment in the existing articles in the Web of Science are highlighted through bibliometric analysis. The query resulted in the display of 441 scientific articles. A specific filter applied to our selection was the choice of Citation Topics Meso: Economics, Management, Economic Theory to ensure that the analyzed articles are from the economic field. To determine the correlations regarding the countries of origin of the authors, we used the Co-authorship filter of VOSviewer, having a minimum number of 12 documents/country and a minimum number of 10 citations/country, so out of 71 countries only 16 met the conditions. A first analysis of the phrases used in the 441 articles was carried out with the help of the word cloud, from Wordart, regarding the words contained in the title of the article, the author's keywords, plus keywords and summaries. The second analysis was that of the phrase density, it was carried out through the VOSviewer software by applying the cooccurrence filter, for all keywords, with an appearance of at least 9 times, resulting in 4 clusters with a total of 53 items that define the process of taking decisions, analyze the investor's behavior and the structure that makes the investment, define the sources of investment financing and investment performance evaluation modalities and analyze the risk and uncertainty environment specific to investments. The results of our research can be a starting point for other analyses in the decision-making field of investments by providing keywords to start from.
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Nino Bendianishvili, Nino Bendianishvili. „"BILATERAL INVESTMENT AGREEMENTS AS A MEAN OF INTEGRATION INTO THE WORLD SOCIETY AND ITS SWOT ANALYSIS“. Economics 105, Nr. 5-7 (07.08.2023): 156–63. http://dx.doi.org/10.36962/ecs105/5-7/2023-156.

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Bilateral Investment Treaties (BITs) are a key prerequisite for effective investment. It ensures efficient use of resources and free movement of capital. When both parties from the signatories agree on the rules of the game, then a favorable and optimal environment for settlement of investment disputes is created. By simple definition, a bilateral investment treaty is an international agreement concluded between two countries. It contains bilateral obligations for the promotion and protection of private investments made by investors of one of these states in the territory of the other state. A bilateral investment treaty aims to promote and protect "investments" as defined in the relevant agreement. It is appropriate to consider specific cases separately, as a number of investments have the necessary qualifying characteristics. In most agreements, the parties specify which investors and what types of investments are included in the agreement. More recent bilateral investment treaties also contain articles that emphasize the right of a state to take appropriate and proportionate regulatory action in the public interest, for example to protect health and the environment. It should be noted that the European Commission is working on improving the legal protection of intra-European investments. Such a mechanism should be effective, economical, adapted to the activities of small and medium-sized businesses, benevolent and mandatory. Keywords: Bilateral Investment Treaties, Effective Investment Initiatives, SWOT Analysis of Bilateral Investment Treaties, Global Integration.
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Dissertationen zum Thema "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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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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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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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
info:eu-repo/semantics/publishedVersion
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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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Bücher zum Thema "Investment analysis"

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C, Brown Keith, Hrsg. Investment analysis & portfolio management. Mason, OH: South-Western Cengage Learning, 2012.

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R, Randall Maury, Hrsg. Investment analysis and management. 2. Aufl. Boston: Allyn and Bacon, 1987.

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Johan, Marx, Mpofu R. T und Van de Venter, T. W. G., Hrsg. Investment management. Pretoria, South Africa: Van Schaik, 2003.

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

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

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

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

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

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1938-, Stoutjesdijk Ardy J., und World Bank, Hrsg. Multicountry investment analysis. Baltimore: Published for the World Bank [by] The Johns Hopkins University Press, 1985.

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A, Strong Robert. Practical investment management. Cincinnati, Ohio: South-Western College Pub., 1998.

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Buchteile zum Thema "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, und John Westra. „Investment Analysis“. In The Economics of Farm Management, 404–28. 2. Aufl. 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, und 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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Mei, Bin, und Michael L. Clutter. „Financial Analysis of Timberland“. In Forestland Investment, 102–15. London: Routledge, 2023. http://dx.doi.org/10.4324/9781003366737-8.

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Mishan, E. J., und 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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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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Hult, Henrik, Filip Lindskog, Ola Hammarlid und 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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Konferenzberichte zum Thema "Investment analysis"

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Akinpelu, L. O. „Resolving Conflicting Recommendations in Investment Analysis“. In SPE Nigeria Annual International Conference and Exhibition. SPE, 2023. http://dx.doi.org/10.2118/217160-ms.

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Abstract Investment worth or investment performance metrics guide us in making investment decisions. These metrics address specific aspects of investments such as value creation, investment efficiency, risk exposure and risk mitigation amongst many considerations. With the complexity of most investment decisions and the size and scale of many investments especially in the Oil & Gas Industry, it is not enough to look at one dimension of investment. For instance, while most people will look favorably at value creation, which is the central premise of most investment decisions, in the context of limited capital, it is also relevant to factor into decision making, the cost of such value created. In other words, net present value (NPV) which is the time-tested value creation performance metric for investors, will not suffice for most current managerial considerations, particularly when comparing two or more investments. How much value is created is usually juxtaposed with the question: at what cost? In which case, analysts must, of necessity present to Management or the Project Decisions Board, NPV along with other performance metrics, usually the discounted profit to investment ratio, (DPI) and Rate of return (ROR). DPI is value creation per unit of investment or a measure of investment efficiency. The two measures complement each other and expand managerial insights as to the efficacy or otherwise of the investment(s) under consideration. In contemporary investment analysis, more emphasis is placed on investment efficiency reflecting investor preference for ever higher return on capital employed. If the two measures each recommend a particular investment over another, then the decision to invest is straight forward. The problem arises when one metric recommends one investment and the other metric recommends another - a situation that we describe as conflicting recommendations. Which investment to choose will require factoring into the investment decision several considerations beyond just value creation and investment efficiency. Considerations such as available capital, the company's short- and long-term business objectives, other potentially available opportunities all come into play. This paper addresses issues arising from conflicting recommendations. We will highlight this problem by considering a simple example of two investments A and B of the same duration of five years and slightly different investment levels. We will limit our analysis to two popular investment metrics - Net present value (NPV) and discounted profit to investment ratio - DPI. The analysis presented is mainly deterministic and the investment opportunity space is limited to these two investments.
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Ivaniš, Miloš. „Cost - benefit analysis“. In XIX International May Conference on Strategic Management – IMCSM24 Proceedings. University of Belgrade, Technical Faculty in Bor, 2024. http://dx.doi.org/10.5937/imcsm24058i.

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In order to estimate realistically the investment process and assess the justification of realization of an investment project, it is necessary to establish and analyze the total effect brought by the realization of certain investments. The effects of an investment project can be assessed and analyzed both from the aspect of a company and from the aspect of a wider social society. Companies as investors are most often interested only in direct economic effects of an investment which can be measured with sufficient exactness and expressed in quantitative terms, whereas they are usually not interested in indirect economic effects which are harder to measure and express quantitatively. However, it should be borne in mind that some investments are such that they must be considered and assessed, first of all, from a broader aspect (e.g. in transportation system, energetics and alike). In that context, cost-benefit analysis presents the method used at making investment decisions which influence the development of broader social society - certain region, economy, society as a whole. The aim of this supplement is to point to the basic elements of cost-benefit methodology for the assessment of investment projects.
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Pieczulis, Ina, und 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 und 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, und 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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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 und 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, und 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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Berichte der Organisationen zum Thema "Investment analysis"

1

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

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

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Baldwin, Richard, Rikard Forslid und 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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Javid, Muhammad, Fakhri Hasanov, Carlo Bollino und 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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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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Shin, Hyun-Han, und Rene Stulz. An Analysis of Divisional Investment Policies. Cambridge, MA: National Bureau of Economic Research, Juni 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, Mai 1992. http://dx.doi.org/10.21236/ada257134.

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Rose, Dietmar W., Charles R. Blinn und 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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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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McGill, Karis, und 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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Gilchrist, Simon, und 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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