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Zeitschriftenartikel zum Thema „Capital assets pricing model“

Autor: Grafiati

Veröffentlicht am 4. Juni 2021

Zuletzt aktualisiert am 28. Juli 2024

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1

Chen, James Ming. „The Capital Asset Pricing Model“. Encyclopedia 1, Nr. 3 (03.09.2021): 915–33. http://dx.doi.org/10.3390/encyclopedia1030070.

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The capital asset pricing model (CAPM) is an influential paradigm in financial risk management. It formalizes mean-variance optimization of a risky portfolio given the presence of a risk-free investment such as short-term government bonds. The CAPM defines the price of financial assets according to the premium demanded by investors for bearing excess risk.

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Jiao, Dian. „Application of Deep Learning Method to Capital Assets Pricing“. Highlights in Business, Economics and Management 3 (20.01.2023): 136–39. http://dx.doi.org/10.54097/hbem.v3i.4713.

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The key problem of financial assets allocation is the price of assets. Assets pricing is the core content of Modern Finance, and revealing the law of assets pricing is always a hot spot of finance research. In recent years, deep learning technology has been applied in the research process of assets pricing and achieved good effect. This paper introduced the theory and characteristics of deep learning, started from extracting and utilizing nonlinear information, effectively processing time series data, and intellectual prediction model, and explored the application of deep learning method in the capital assets pricing. Meanwhile, this paper explores the applicability and limitations of deep learning methods and discusses possible future research trends in learning-based asset pricing.

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Yao, Wenjing, und Bin Mei. „Assessing forestry-related assets with the intertemporal capital asset pricing model“. Forest Policy and Economics 50 (Januar 2015): 192–99. http://dx.doi.org/10.1016/j.forpol.2014.06.006.

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4

He, Zhiguo, und Arvind Krishnamurthy. „Intermediary Asset Pricing“. American Economic Review 103, Nr. 2 (01.04.2013): 732–70. http://dx.doi.org/10.1257/aer.103.2.732.

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We model the dynamics of risk premia during crises in asset markets where the marginal investor is a financial intermediary. Intermediaries face an equity capital constraint. Risk premia rise when the constraint binds, reflecting the capital scarcity. The calibrated model matches the nonlinearity of risk premia during crises and the speed of reversion in risk premia from a crisis back to precrisis levels. We evaluate the effect of three government policies: reducing intermediaries borrowing costs, injecting equity capital, and purchasing distressed assets. Injecting equity capital is particularly effective because it alleviates the equity capital constraint that drives the model's crisis. (JEL E44, G12, G21, G23, G24)

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Takouachet, Rania. „Capital asset pricing model“. Finance and Business Economies Review 4, Nr. 1 (30.04.2020): 165–89. http://dx.doi.org/10.58205/fber.v4i1.645.

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This study aims to identify the model of capital asset pricing (CAPM), which occupies a privileged positionin the stock market because it is one of the analysis tools that take into account the relationship betweenreturn and risk in securities and capital investments in general. Which is considered one of the mostimportant discoveries in the modern financial economy where despite the many criticisms of this model, thebasic model has simplicity, speed and ease. This feature has kept this model in use today and on a largescale by most specialists in the financial field.

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Ye, Jialin. „Intangible Capital, Investor Structure and Stock Return from the Perspective of RBV“. Advances in Economics, Management and Political Sciences 72, Nr. 1 (24.05.2024): 139–47. http://dx.doi.org/10.54254/2754-1169/72/20240693.

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The current research suggests the presence of asset mispricing by indicating that stock prices may not necessarily reflect underlying fundamentals. Additionally, prior studies often underestimate the importance and overlook contributions from resources to the returns. In this article, we propose the effect of intangible assets into asset pricing in the context of varying investor sentiment and long-term investment horizon. Drawing from the recourse-based view of intangible assets within firms, we can better assess a firms growth and stock returns. We conclude that the Capital Asset Pricing Model (CAPM) should incorporate the influence of intangible assets. These assets can reduce operational risk, thus affecting idiosyncratic risk.

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Григорий Георгиевич, Сидоренко, Сидоренко Олег Георгиевич und Термосесов Дмитрий Сергеевич. „STOCK MARKET PRICING: CAPITAL ASSET RETURNS MODEL (CAPM) AND FAMA-FRENCH MODEL“. STATE AND MUNICIPAL MANAGEMENT SCHOLAR NOTES 1, Nr. 2 (Juni 2022): 135–41. http://dx.doi.org/10.22394/2079-1690-2022-1-2-135-141.

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. Subject / topic: This article examines the issues of pricing in the stock market in order to help institutional investors to preserve their own capital and increase it based on the study of capital asset return models (CAPM) and Fama-French model. The tasks of collecting the necessary statistical data, analyzing them, as well as applying the model to assess various assets and analyzing the accuracy of their application have been solved. The use of this model makes it possible to reliably predict the prices of assets on the stock market, however, it does not guarantee 100% accuracy, and therefore, its use still entails the risks of capital loss. Goals / objectives: The aim of the study is to compare the accuracy of the studied models, as well as to identify their advantages and disadvantages. Methodology: The methodological basis of the study is made up of both general and particular scientific methods of cognition. Used such methods as induction and deduction, methods of comparison and generalization. Results / conclusions: The authors found that the use of the five-factor Fama-French model makes it possible to fairly reliably predict asset prices in the stock market, but does not guarantee 100% accuracy, so its use still entails the risk of capital loss.

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Naqvi, Hassan. „On the validity of the Capital Asset Pricing Model“. LAHORE JOURNAL OF ECONOMICS 5, Nr. 1 (01.01.2000): 73–92. http://dx.doi.org/10.35536/lje.2000.v5.i1.a4.

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One of the most important developments of modern finance is the Capital Asset Pricing Model (CAPM) of Sharpe, Lintner and Mossin. Although the model has been the subject of several academic papers, it is still exposed to theoretical and empirical criticisms. The CAPM is based on Markowitz’s (1959) mean variance analysis. Markowitz demonstrated that rational investors would hold assets, which offer the highest possible return for a given level of risk, or conversely assets with the minimum level of risk for a specific level of return.

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Riaz, Amna, Nauman Riaz Chaudhry, Reema Choudhary, Mohsin Riaz und Muhammad Suhail. „Capital Asset Pricing Model for the Stock Market in Pakistan“. Qlantic Journal of Social Sciences 5, Nr. 2 (30.06.2024): 76–84. http://dx.doi.org/10.55737/qjss.139458386.

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The Capital Asset Pricing Model (CAPM), within modern financial theory, offers a theoretical framework for pricing assets with uncertain returns. CAPM assesses systematic risk and proposes a linear relationship between risk and expected returns for any asset. It serves as a potent tool for pricing risky assets. In this present study, the trade-off between risk-return was investigated within the framework of CAPM and its validity was tested on the daily returns of companies listed in the chemical, textile and food sectors of the Pakistan stock market during the period July 2004- Feb 2014. The results of empirical testing by regression analysis supported the CAPM’s validity for these sectors in Pakistan and found CAPM β as a single factor which was priced by the market. The KSE-100 index was used as a market, and the year treasury-bills return rate was taken as a risk-free rate.

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Johnston, Mark. „Extension of the Capital Asset Pricing Model to Non-normal Dependence Structures“. ASTIN Bulletin 37, Nr. 01 (Mai 2007): 35–52. http://dx.doi.org/10.2143/ast.37.1.2020797.

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The Capital Asset Pricing Model arises in an economy where agents have exponential utility functions and aggregate consumption is normally distributed, and gives the prices of assets with payoffs which are jointly normal with consumption. Such assets have normal marginal distributions and have dependence with consumption characterised by a normal copula. Wang has derived a transform which extends the CAPM by allowing pricing of assets in such an economy which have non-normal marginal distributions but still are normal-copula with consumption.Here we set out the stochastic discount factors corresponding to this version of the CAPM and to Wang’s transform, and show how to calculate stochastic discount factors and hence asset prices for assets whose dependence with consumption is non-normal. We show that the impact of dependency structure on asset prices is significant.

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Johnston, Mark. „Extension of the Capital Asset Pricing Model to Non-normal Dependence Structures“. ASTIN Bulletin 37, Nr. 1 (Mai 2007): 35–52. http://dx.doi.org/10.1017/s0515036100014720.

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The Capital Asset Pricing Model arises in an economy where agents have exponential utility functions and aggregate consumption is normally distributed, and gives the prices of assets with payoffs which are jointly normal with consumption. Such assets have normal marginal distributions and have dependence with consumption characterised by a normal copula. Wang has derived a transform which extends the CAPM by allowing pricing of assets in such an economy which have non-normal marginal distributions but still are normal-copula with consumption.Here we set out the stochastic discount factors corresponding to this version of the CAPM and to Wang’s transform, and show how to calculate stochastic discount factors and hence asset prices for assets whose dependence with consumption is non-normal. We show that the impact of dependency structure on asset prices is significant.

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Hazny, Mohamad Hafiz, Haslifah Mohamad Hasim und Aida Yuzy Yusof. „Mathematical modelling of a shariah-compliant capital asset pricing model“. Journal of Islamic Accounting and Business Research 11, Nr. 1 (06.01.2020): 90–109. http://dx.doi.org/10.1108/jiabr-07-2016-0083.

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Purpose The capital asset pricing model (CAPM) is the most widely used asset pricing model that measures risk–return relationship. The CAPM is based on Markowitz’s mean variance analysis. The advancement of Islamic finance leads to the question whether or not the practice of modern investment theories and analyses such as the Markowitz’s mean variance analysis and CAPM are in accordance to shariah and could be used in pricing Islamic financial assets. Therefore, this paper aims to present a review of the CAPM and to discourse the set of assumptions underlying the model in terms of shariah compliance. Design/methodology/approach Although most of the assumptions are not contradictory to shariah principles, there are Islamic variables such as prohibition of short selling, purification and zakat that should be taken into consideration when pricing Islamic financial assets. We then develop a mathematical model which is a modification of the traditional CAPM that incorporates principles of Islamic finance and integrating zakat, purification of return and exclusion of short sales. Findings As a proof-of-concept, this paper presents the results of an empirical study on the proposed shariah-compliant CAPM in comparison to the traditional CAPM. The results show that the proposed Islamic CAPM is appropriate and applicable in examining the relationship between risk and return in the Islamic stock market. Originality/value This study contributes to existing body of knowledge by presenting an algorithm and mathematical derivation of the shariah-compliant CAPM which has been lacking in the literature of Islamic finance. The paper offers a novel approach in pricing Islamic financial assets in accordance to shariah, advocated by modern investment theories of Markowitz’s mean variance analysis and CAPM.

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Wagner, John E., und Douglas B. Rideout. „Evaluating Forest Management Investments: The Capital Asset Pricing Model and the Income Growth Model“. Forest Science 37, Nr. 6 (01.12.1991): 1591–604. http://dx.doi.org/10.1093/forestscience/37.6.1591.

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Abstract This article combines an Income Growth Model (IGM) with a nominal and real Capital Asset Pricing Model (CAPM) to evaluate two alternative management regimes using a simulation of two fully regulated Pacific Northwest ponderosa pine (Pinus ponderosa) plantations. The IGM can be used to estimate the cost of capital for nonpublicly traded firms. The IGM was used to estimate a real cost of capital to value the land and timber inventory of the forestry assets. The simulation highlights five findings: (1) the results, both nominal and real, showed that a thinning investment did not reduce financial variability as measured by the beta index of the CAPM; (2) the beta indices indicate the returns to the forestry assets examined were insensitive to nominal or real changes in returns of the market portfolio; (3) a majority of the total variability of the two forestry asset's returns is diversifiable; (4) the forestry assets examined were identified as inferior inflation hedges; and (5) there was no statistical difference between the nominal and real beta indices of the forestry assets examined. Ex post data (particularly market proxy data) cannot prove that the nonthinning regime is ex ante more financially sound, although these results suggest strongly that it is. For. Sci. 37(6):1591-1604.

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Ovechkin, Danila V., und Natalia B. Boldyreva. „Modification of Capital Assets Pricing Model for a non-equilibrium capital market“. Tyumen State University Herald. Social, Economic, and Law Research 5, Nr. 1 (2019): 131–43. http://dx.doi.org/10.21684/2411-7897-2019-5-1-131-143.

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15

Offiong, Amenawo Ikpa, Hodo Bassey Riman, Helen Walter Mboto, Eyo Itam Eyo und Diana Gembom Punah. „Capital Asset Pricing Model (CAPM) and the Douala Stock Exchange“. International Journal of Financial Research 11, Nr. 5 (22.09.2020): 191. http://dx.doi.org/10.5430/ijfr.v11n5p191.

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This study examines if the Capital Asset Pricing Model (CAPM) can be applied to the Douala Stock Exchange. The study utilized monthly stock returns from the three companies listed on the Douala Stock Exchange (DSX), for the period 30th April 2009 to 31st August 2017. Ordinary Least Square regression analysis was adopted for the study to examine if individual stocks can predict a better stock beta. The Black, Jensen, and Scholes (1972) CAPM version were also examined in this study to assess the validity of the zero beta estimate. The result of the individual estimates could not establish the validity of the CAPM theory. Further analysis showed that the Beta for the three assets combined portfolio was not statistically significant. However, when two securities were combined into a single asset portfolio, the portfolio bêta was statistically significant. The significant result of the two asset portfolio confirms that Beta was a linear function of security returns in the DSX market. The study concludes that there will be a need for the government of Cameroun to liberalize the DSX market and allow more firms to be quoted on the floor of the exchange. This decision will allow for the deepening of the DSX market, enhance the liquidity level of the market, and enable investors to reap adequate returns from their investment through holding a portfolio of assets.

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QIN, JIE. „Human-Capital-Adjusted Capital Asset Pricing Model*“. Japanese Economic Review 53, Nr. 2 (Juni 2002): 182–98. http://dx.doi.org/10.1111/1468-5876.00018.

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17

Qin, Jie. „Human-Capital-Adjusted Capital Asset Pricing Model“. Japanese Economic Review 53, Nr. 2 (Juni 2002): 182–98. http://dx.doi.org/10.1111/1468-5876.00222.

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18

Chunpeng YANG, Jun XIE und Wei YAN. „Sentiment Capital Asset Pricing Model“. International Journal of Digital Content Technology and its Applications 6, Nr. 3 (29.02.2012): 254–61. http://dx.doi.org/10.4156/jdcta.vol6.issue3.30.

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19

Stoimenov, Pavel A., und Sascha Wilkens. „Das Capital Asset Pricing Model“. WiSt - Wirtschaftswissenschaftliches Studium 34, Nr. 5 (2005): 295–306. http://dx.doi.org/10.15358/0340-1650-2005-5-295.

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20

Perold, André F. „The Capital Asset Pricing Model“. Journal of Economic Perspectives 18, Nr. 3 (01.08.2004): 3–24. http://dx.doi.org/10.1257/0895330042162340.

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The Capital Asset Pricing Model (CAPM) revolutionized modern finance. Developed in the early 1960s by William Sharpe, Jack Treynor, John Lintner and Jan Mossin, the model provided the first coherent framework for relating the required return on an investment to the risk of that investment. This paper lays out the key ideas of the model, places its development in a historical context, and discusses its applications and enduring importance to the field of finance.

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Klobus, Carmen. „Das Capital Asset Pricing Model“. Controlling 13, Nr. 10 (2001): 525–28. http://dx.doi.org/10.15358/0935-0381-2001-10-525.

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22

CICIRETTI, ROCCO. „CAPITAL ASSET PRICING MODEL (CAPM)“. BANKPEDIA REVIEW 4, Nr. 2 (Dezember 2014): 21–25. http://dx.doi.org/10.14612/ciciretti_2_2014.

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Shabi, A. „Projective Capital Asset Pricing Model“. Современные инновации, системы и технологии - Modern Innovations, Systems and Technologies 2, Nr. 4 (28.10.2022): 0201–13. http://dx.doi.org/10.47813/2782-2818-2022-2-4-0201-0213.

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This paper is interested in exploring the capabilities and limitations of investment decision making under uncertainty through the lens of Quantum Probabilities/formalism stand and will be focusing on the Capital Asset Pricing Model as use case. Our main purpose is to examine the historical and structural foundations surrounding decision making paradoxes. To ease the comprehension of the issue to the common reader, we first outline key cornerstones of investment decision making under the two competing conceptual frameworks, expected utility and mean-variance. We review then the axiomatic justifications of the mean-variance and set the comparison with the Expected utility generally. That's when the analogy with quantum probabilities arises. This comes from the fact that decision making process seems to be more likely to be presented in terms of amplitudes. Thus, here the quantum probabilities refer to a calculus of quantum states and not of probabilities. In the final section, we present the capital asset pricing model to understand the appeal of the usage of Mean variance over Expected utility in the financial theory, and how we can remediate to this approach once decisions are depicted in terms of quantum probability amplitudes. Several extensions of the rational decision-making theory using classical probability formulations emerged depending on the actual empirical findings, trying to explain such paradoxes and improve the existing framework decision making theory. These simplifying assumptions were seeking to generate the probabilistic measures assumptions without linearity or to make State-independent probabilistic estimates as well as agents’ possessing firm assumptions in the generalized utility theory loosened. While these trials helped to discuss the pitfalls of the classical probabilities in some decision-making situations, it failed to give a harmonized expected utility theoretical model. An established theory to consider is the prospect theory by Kahneman and Tversky which encompasses the human biases and heuristic. Indeed, its attributes make this theory likely to be extended to a general framework of the decision-making theory by using quantum probabilities as the mathematical scope.

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Xu, Tianyang. „Study on the Capital Asset Pricing Model(CAPM): literature review and possible improvements“. BCP Business & Management 16 (26.12.2021): 109–13. http://dx.doi.org/10.54691/bcpbm.v16i.282.

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Capital Asset Pricing Model is one of the most classic financial models used by investors to predict the relations between risks and returns. However, with the rapid growth of global market, international corporations and fictitious assets, the whole global market becomes more complicated. For the stock markets, with more factors affecting the risks and expected returns, will these novel changes affect and make those classic financial models obsolete? This paper discusses the history of the Capital Asset Pricing Model and and studies the adaptability, assumptions, and formula of Capital Asset Pricing Model and the methods that could be used to improve this model. By carrying out data analysis, it is found out that the Capital Asset Pricing Model has shown poorer ability to predict the expected returns and risks comparing to other models that take more factors into account, such as the Fama-French Three-Factor Model. As a result, Fama-French Three-Factor Model is analyzed in this paper to find why it provides more accurate results that fit the real situations. After that, improvements that could be added on the Capital Asset Pricing Model are proposed based on the analysis on Fama-French Three-Factor Model.

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Alshomaly, Ibrahim, und Ra’ed Masa’deh. „The Capital Assets Pricing Model & Arbitrage Pricing Theory: Properties and Applications in Jordan“. Modern Applied Science 12, Nr. 11 (29.10.2018): 330. http://dx.doi.org/10.5539/mas.v12n11p330.

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This paper aimed to test the validity of capital asset pricing model (CAPM) and arbitrage pricing theory (APT) in Jordanian stock Market using three different firms of three main sectors, financial, industrial, and service sector for the period Q1 (2000) to Q4 (2016), using published information obtained from Amman stock exchange (ASE), these models were designed to measure the cost of capital using the coefficient of systematic risk factor, that used in the valuation of capital assets. We reviewed the most important similarities and differences between the two models out of sectors analysis. The study showed, first, there are some differences between the two models in term of the amount of systematic risk that can be eliminated by diversification in the three sectors. Second, the application of APT model showed that large percentage of risk can be eliminated by diversification more than CAPM model. Third, the banking sector in Jordan faces more systematic risks than other sectors.

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Leković, Miljan. „Evidence for and against the validity of the capital asset Pricing model“. Tehnika 77, Nr. 3 (2022): 363–72. http://dx.doi.org/10.5937/tehnika2203363l.

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The Capital Asset Pricing Model (CAPM) makes a significant contribution to understanding the relationship between return and risk and valuing assets in the capital market. The basic idea of the CAPM model is that assets exposed to the same level of systemic risk should have the same level of expected return. Therefore, the CAPM model values the asset, ie. determines its price at a level that ensures that the expected return corresponds to the assumed systemic risk. In addition to the positive aspects of the CAPM model, the paper pays equal attention to understanding the problems and taking into account the shortcomings and limitations that this model faces. The aim of the research is to find an answer to the question of whether the CAPM model is the correct model for valuing financial assets. In this regard, the paper presents numerous pieces of evidence for and against the validity of the CAPM model, concluding that, even after more than half a century of research, no consensus has been reached in the financial literature on the presence or absence of its validity.

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Julianto, Leo. „Comparative Study between Capital Asset Pricing Model and Arbitrage Pricing Theory in Indonesian Capital Market during Period 2008-2012“. Asia Pacific Management and Business Application 2, Nr. 2 (30.12.2013): 111–19. http://dx.doi.org/10.21776/ub.apmba.2013.002.02.3.

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Valencia-Herrera, Humberto, und Francisco López-Herrera. „Markov Switching International Capital Asset Pricing Model, an Emerging Market Case: Mexico“. Journal of Emerging Market Finance 17, Nr. 1 (26.02.2018): 96–129. http://dx.doi.org/10.1177/0972652717748089.

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The article shows how the international capital asset pricing model (ICAPM) with Markov regime switching can model the asset returns in the emerging market of Mexico. For most assets, although significant, the international risk premium factor is not subject to regime switching, but the domestic factor is. The probabilities of regimes are correlated with the volatility of assets. A GARCH(1,1) Markov regime switching model offers better adjustment than a non-GARCH. JEL Classification: C58, F36, F65, G12, G15

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Luo, Ruiming. „The Progress of Portfolio Allocation and the Capital Asset Pricing Model“. Advances in Economics, Management and Political Sciences 3, Nr. 1 (21.03.2023): 374–83. http://dx.doi.org/10.54254/2754-1169/3/2022808.

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This paper aims to discuss the fundamental element in finance, which is the property of the portfolio theory. Also, the paper presents an overview of the evolution of the portfolio theory management and capital asset pricing model (CAPM). Harry Markowitz, James Tobin, and William Sharpe, et al play an indispensable role in the contribution of these financial theories. This paper first studies and then describes the expected return and risk of the single asset portfolio. Then, this paper extends the topic to multiple asset portfolios and teaches people to eliminate or lower the risk in the investment by combining different portfolios. The paper finds the efficient frontier and suggests some possible combinations of risk free assets and risky assets. In addition, given the diverse circumstances, this paper introduces the idea of CAPM. Finally, this paper discusses the current skepticism about CAPM and the future expectation of the important idea in finance.

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He, Shuxian, Wanwen Mai und Yinghao Qin. „Big data analysis of the effectiveness for capital asset pricing model under COVID-19“. SHS Web of Conferences 181 (2024): 02012. http://dx.doi.org/10.1051/shsconf/202418102012.

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In 2020, the novel coronavirus outbreak in China and rapidly spread around the world, causing a great impact on the economies of all countries, but also brought great uncertainty to the global financial market. The epidemic may not only trigger a crisis of supply, investment and supply chain disruption, but also further spread to the financial market, exacerbating systemic risks in the financial market and having a certain impact on the pricing of various types of assets. On this basis, this study conducts an empirical study on stock pricing under the influence of COVID-19 based on capital asset pricing model model to explore its effectiveness. To be specific, this paper selected two representative stocks from five different industries, namely medical care, catering, agriculture, tourism, and automobile, and used their returns from 2015 to 2019 for regression analysis, so as to predict the returns during the epidemic period and judge the effectiveness of the capm model during the epidemic period. These results shed light on guiding further exploration of assets pricing model.

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Ruffino, Doriana. „A Robust Capital Asset Pricing Model“. Finance and Economics Discussion Series 2014, Nr. 01 (Januar 2014): 1–14. http://dx.doi.org/10.17016/feds.2014.01.

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32

Selim, Tarek H. „An Islamic capital asset pricing model“. Humanomics 24, Nr. 2 (23.05.2008): 122–29. http://dx.doi.org/10.1108/08288660810876831.

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KUEHN, LARS-ALEXANDER, MIKHAIL SIMUTIN und JESSIE JIAXU WANG. „A Labor Capital Asset Pricing Model“. Journal of Finance 72, Nr. 5 (05.06.2017): 2131–78. http://dx.doi.org/10.1111/jofi.12504.

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Siddiqi, Hammad. „Anchoring-Adjusted Capital Asset Pricing Model“. Journal of Behavioral Finance 19, Nr. 3 (17.11.2017): 249–70. http://dx.doi.org/10.1080/15427560.2018.1378218.

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Li, Hui, Min Wu und Xiao-Tian Wang. „Fractional-moment Capital Asset Pricing model“. Chaos, Solitons & Fractals 42, Nr. 1 (Oktober 2009): 412–21. http://dx.doi.org/10.1016/j.chaos.2009.01.003.

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Qin, Jie. „Regret-based capital asset pricing model“. Journal of Banking & Finance 114 (Mai 2020): 105784. http://dx.doi.org/10.1016/j.jbankfin.2020.105784.

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Huang, Botao. „Research on the Financial Model Selection between Capital Asset Pricing Model, Arbitrage Pricing Model, and Fama-French Model“. Advances in Economics, Management and Political Sciences 18, Nr. 1 (13.09.2023): 369–74. http://dx.doi.org/10.54254/2754-1169/18/20230100.

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Financial modeling magnifies the importance of various systematic and unsystematic risks occurring in modern finance, which elicits the functionality of the Capital Asset Pricing Model (CAPM) introduced by Sharpe, Lintner, and Treynor. A considerable amount of societal support for CAPM has been triggered by its simplicity and precision in terms of making decisions for assets based on absolute risk rather than total risk. Objectively speaking, CAPM is also deeply limited by its unique prerequisites or assumptions. One pivotal point for investors to ponder is the selection of different methods and judge the individual applicability before implementation and this article aims to offer investors some financial advice derived from this process. Methods applied in this article involve information-gathering from empirical examples and tests, as well as financial analysis by comparison and selection among several models. This paper concludes that the Arbitrage Pricing Model (APM) and Fama French factor(s) Model (FFM) are differentiated and should be applied selectively and accordingly to cater to the imminent situations that investors are about to tackle.

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Wahyuni, Diah Maghfiroh, Abdul Aziz und Juhari Juhari. „Estimasi Parameter Capital Assets Pricing Model Dengan Metode Generalized Method of Moments Dalam Perhitungan Value At Risk“. Jurnal Riset Mahasiswa Matematika 1, Nr. 1 (20.10.2021): 32–39. http://dx.doi.org/10.18860/jrmm.v1i1.13413.

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Capital Assets Pricing Model merupakan persamaan regresi antara premi risiko aset terhadap premi risiko pasar. Risiko ada jika pembuat keputusan tidak memiliki data untuk menyusun suatu dugaan. Pendugaan tersebut dapat dilakukan dengan generalized method of moments.Penelitian ini bertujuan untuk mengetahui hasil estimasi parameter pada Capital Assets Pricing Model menggunakan Generalized Method of Moments pada data saham PT. Indofood Tbk., serta mendapatkan nilai Value at Risk pada data saham PT. Indofood Tbk..Hasil yang diperoleh yaitu : , m=1,2,…. Dengan nilai maka model regresi pada saham PT. Indofood Tbk.. yaitu . Dengan tingkat signifikansi 5%, investasi awal Rp10.000.000,00 , kerugian yang akan ditanggung oleh investor adalah Rp1.265.800,00 .

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Chao, Yang. „The Impact of Factors in Capital Assets Pricing Model and Fama-French Models“. BCP Business & Management 40 (08.03.2023): 90–105. http://dx.doi.org/10.54691/bcpbm.v40i.4364.

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Despite the fact that other researchers have looked into hundreds of potential factors that could affect equity returns, Fama and French initially proposed three and have since allowed for five, with the sporadic appearance of a sixth factor. By using regression which is a statistical technique that is used to isolate and quantify the significance of a variable. It works as a test to ascertain whether a stock's average returns may be influenced by factors like leverage or sector performance. This study uses R programming language and the “lm” function to research the impacts of factors in CAPM and different factors of Fama-French Models. To conclude, more factors included in the Fama-French model are not better than those with fewer factors, and there is a multicollinearity problem for different portfolios. This study aims to help other researchers have a brief consideration before using the model.

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Xie, Zhitao. „A Literature Study on the Capital Asset Pricing Model“. BCP Business & Management 40 (08.03.2023): 162–66. http://dx.doi.org/10.54691/bcpbm.v40i.4375.

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Capital Asset Pricing Model (CAPM) is an important theory in financial economics. It was based on Markowitz's Modern Asset Allocation Theory (MPT) and proposed by Sharpe. This model expresses the relationship between risk coefficient, asset return rate, and systematic risks by simple mathematical formulas. The model has four advantages, handling of risks when evaluating investment behavior, accuracy when estimating equity capital, relatively reliable and better than Weighted Average Cost of Capital (WACC) in investment evaluation. CAPM also has some weakness, consisting of variables and application in investment evaluation. There are three variables in CAPM model, risk-free rate of return, equity risk premium and beta. The weakness about application in investment evaluation shows that in beta of projects and firms are different, complex restructure and periods. The Arbitrage Pricing Theory (APT) can be an option of CAPM, and it is a more flexible and complex model compared with CAPM. However, the latest research proves that Portfolio Theory has very big problems. High-risky assets do not necessarily have high returns. This view may be embodied in "low-risk anomalies" and "Idiosyncratic Volatility". In the future, researchers will introduce more elements for CAPM to improve accuracy, or develop new models.

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Aygoren, Hakan, und Emrah Balkan. „The role of efficiency in capital asset pricing: a research on Nasdaq technology sector“. Managerial Finance 46, Nr. 11 (16.07.2020): 1479–93. http://dx.doi.org/10.1108/mf-12-2019-0612.

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PurposeThe aim of this study is to investigate the role of efficiency in capital asset pricing. The paper explores the impact of a four-factor model that involves an efficiency factor on the returns of Nasdaq technology firms.Design/methodology/approachThe paper relies on data of 147 firms from July 2007 to June 2017 to examine the impact of efficiency on stock returns. The performances of the capital asset pricing model (CAPM), Fama–French three-factor model and the proposed four-factor model are evaluated based on the time series regression method. The parameters such as the GRS F-statistic and adjusted R² are used to compare the relative performances of all models.FindingsThe results show that all factors of the models are found to be valid in asset pricing. Also, the paper provides evidence that the explanatory power of the proposed four-factor model outperforms the explanatory power of the CAPM and Fama–French three-factor model.Originality/valueUnlike most asset pricing studies, this paper presents a new asset pricing model by adding the efficiency factor to the Fama–French three-factor model. It is documented that the efficiency factor increases the predictive ability of stock returns. Evidence implies that investors consider efficiency as one of the main factors in pricing their assets.

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Balvers, Ronald J., und Dayong Huang. „Money and the C-CAPM“. Journal of Financial and Quantitative Analysis 44, Nr. 2 (April 2009): 337–68. http://dx.doi.org/10.1017/s0022109009090176.

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AbstractWe consider asset pricing in a monetary economy where liquid assets are held to lower transaction costs. The ensuing model extends the capital asset pricing model (CAPM) and the consumption CAPM by deriving real money growth as an additional factor determining returns. Empirically, the two model versions compare favorably to other theoretical asset pricing models along several dimensions, supporting the traditional intertemporal asset pricing perspective. A value premium arises because value firms are sensitive to liquidity shocks but growth firms are not. Although no alternative factor drives out the money growth factor, the conditioning CAY factors of Lettau and Ludvigson (2001b) add explanatory power.

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Xinwen, Zhang. „Research on the Influencing Factors of Capital Asset Income ---- Is Based on the Fama-French Three-Factor Model“. SHS Web of Conferences 163 (2023): 01019. http://dx.doi.org/10.1051/shsconf/202316301019.

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Capital asset pricing is very important to the development of listed companies. It is not only related to the performance of micro enterprises, but also related to the stability and development of macro financial markets. Therefore, the in-depth study of the law and influencing factors of listed companies’ return on capital assets is a theoretical problem worthy of in-depth exploration, but also has significant practical significance. In this paper, 160 stocks from 2012 to 2021 are selected for empirical analysis, and it is concluded that stocks of small-scale companies can realize good risk hedging as a hedge tool, and the trend of large-scale high-yield stocks conforms to the traditional capital asset pricing theory.

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Wang, Xinzhe. „Portfolio Optimization of Five Stocks Based on the Mean-Variance Model“. BCP Business & Management 35 (31.12.2022): 687–93. http://dx.doi.org/10.54691/bcpbm.v35i.3371.

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Portfolio optimization, as an essential part of asset allocation, has become a core issue in the financial investment field in recent years. This paper focuses on the diversification of assets in semiconductor and integrated circuits, commodities, fast-moving consumer goods, air transportation, and streaming services industries, aiming to provide investors with a portfolio that optimizes risk and return. The mean-variance analysis, capital asset pricing model, and Fama-French three-factor model are applied to construct the portfolio. According to the asset weight allocation, the results are analyzed by maximizing the Sharpe ratio and minimizing variance. The results demonstrate that UL contributes the most proportion to the maximum Sharpe ratio and minimum variance under the capital asset pricing model. In the Fama-French three-factor model, DAL and UL provide the highest weight for the maximum Sharpe Ratio and minimum variance, respectively. Since KLIC is negatively correlated with UL and DAL has a negative correlation with NFLX, comprising these assets in the portfolio can function as a diversification. Therefore, the results are helpful for investors interested in portfolios in related industries.

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Lally, Martin, und Tony van Zijl. „Capital gains tax and the capital asset pricing model“. Accounting and Finance 43, Nr. 2 (Juli 2003): 187–210. http://dx.doi.org/10.1111/1467-629x.00088.

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Khudoykulov, Khurshid. „Verifying capital asset pricing model in Greek capital market“. International Journal of Economics and Accounting 7, Nr. 1 (2016): 55. http://dx.doi.org/10.1504/ijea.2016.076749.

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Francová, Blanka. „An Analysis of the Impact of Selected Factors on the Bond Market“. Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 66, Nr. 6 (2018): 1451–58. http://dx.doi.org/10.11118/actaun201866061451.

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Exchange rate risk is important factor for the valuation of capital asset on international markets. According to the International Arbitrage Pricing Theory currency movements affect the prices of capital assets and associated risk premiums. The International Arbitrage Pricing Theory is based on total return of asset decomposition to non‑currency return and currency return. The currency return is defined by exchange rate risk and the non‑currency return is defined by factors affecting the price of capital assets. We propose an empirical model to apply this theory using corporate bonds. Using a rich dataset from Morningstar in the period 2001–2017 we employ the linear regression analysis method OLS with fixed effects. We apply the model for different bond yields and different time‑series. The factors influence bond price differently for each yield and each time‑series. Our results confirm that currency movements significantly affect the bond prices.

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Bonga-Bonga, Lumengo, und Sefora Motena Rangoanana. „Carry Trade and Capital Market Returns in South Africa“. Journal of Risk and Financial Management 15, Nr. 11 (27.10.2022): 498. http://dx.doi.org/10.3390/jrfm15110498.

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This paper assesses the extent to which carry trade operations affect the performance of equity and bond markets in a target country, South Africa, by considering the US and the euro area as the funding countries. A two- and three-factor capital asset pricing model (CAPM) is employed to assess whether the pricing of equity and bond markets in South Africa depends on the US dollar/rand and euro/rand carry trade returns. Moreover, the paper uses the quantile regression technique to assess whether this pricing varies with the distribution of the equity and bond returns. The findings support that the US- and euro-funded carry trade are essential factors for the pricing of equity and bond markets in South Africa. Moreover, the results of the two-factor model show a negative relationship between the equity excess return and the US-carry trade returns at lower quantiles of the equity market returns. The positive relationship is observed in the upper quantiles of the equity market. The negative relationship means that carry trade activities reduce equity market returns during a bear market as investors close out their position when conditions in the equity market become unfavourable. The results of the three-factor model, controlling for the global volatility or uncertainty, show that carry trade investors exit the equity market to invest in the bond market when global uncertainty rises. This finding shows that carry trade investors choose less risky assets during rising global uncertainty.

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Amyulianthy, Rafrini, und Asriyal Asriyal. „Pengujian Empiris Efficient Market Hypothesis (EMH) Dan Capital Assets Pricing Model (CAPM)“. Liquidity 2, Nr. 1 (02.07.2018): 21–33. http://dx.doi.org/10.32546/lq.v2i1.126.

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As indicated, Efficient Market Hypothesis theory played an important role in evolution of accounting research. The conflict between the Efficient Market Hypothesis and hypotheses underlying many accounting prescriptions led to the introduction and popularization of positive theory and methodology in the accounting literature. This paper is to provide a clearer understanding of the factors anomalies encountered by experts during a test of the reliability Efficient Market Hypothesis and Capital Asset Pricing Model (CAPM) theories which proposed by Fama in 1970.

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Kogan, Anton B. „Empirical and analytical base for CAPITAL ASSETS PRICING MODEL application in Russia“. Siberian Financial School, Nr. 2 (08.09.2022): 5–17. http://dx.doi.org/10.34020/1993-4386--2022-2-5-17.

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The subject of the study were the financial characteristics of the Russian Stock Market and the represented public companies. The complex calculations necessary for Capital Assets Pricing Model (CAPM) application in the study of Russian companies by appraisers, investors, and researchers were performed. 5- and 2-year betas (historical, and adjusted for leverage and cash) were calculated, based on weekly total stock returns for 217 companies. Historical bets were calculated for cases when the market was represented by IMOEX, MCFTR, MOEXBMI, SP500, Solactive Global Equity Large Cap Select Index (five bet groups in total). In addition, 2-year betas were calculated for four periods, and the specifics of their variability were described. A fly project study of the small cap premium was carried out. The market risk premium was determined. The main sources of information for this study were the Moscow Exchange and Yahoo Finance. The calculations were based on the classical provisions of CAPM and mathematical statistics. The information provided allows appraisers, investors, researchers to determine the return required for a particular type of business. The maximum detail of information allows one to calculate the bet according to well-known domestic, foreign or own classifiers.

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