CAPM in Real World: Risk-Friendly Investments
Christos Floros (),
Christos Kountzakis () and
Moawia Alghalith
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Christos Floros: Department of Accounting and Finance, Hellenic Mediterranean University, Herakleion, Crete, Greece
Christos Kountzakis: Department of Statistics and Actuarial-Financial Mathematics, University of the Aegean, School of Sciences, Karlovassi, 83200 Samos, Greece
Moawia Alghalith: Department of Economics, University of the West Indies, St. Augustine, Trinidad
Annals of Financial Economics (AFE), 2024, vol. 19, issue 02, 1-11
Abstract:
The aim of this paper is to show how the existence of equilibrium in CAPM may be obtained when individuals/investors are risk friendly. This assumption is closer to the real world, since risk aversion is rare and the portfolios implying a greater payoff are the ones which increase the variance of the payoff itself. Specifically, we assume that the wage vectors of the individuals/investors do not lie in the market space, which is the usual assumption for CAPM, namely, the payoff of any portfolio is replicated by the wage of the individuals/investors. The interpretation of such an assumption is that the wealth of the individuals/investors may not invest in financial markets as a whole. The second main result is that the perception of risk by the objective probabilities for the states of the world does not affect the equilibrium existence. This is a consequence of the No-Arbitrage assumption. This condition may be stated in terms of the existence of the objective probabilities for the states of the world. Since CAPM is usually considered as a way to compare the return of the so-called “market portfolio†and the return of any other portfolio, in the final section of this paper, we do provide the regression form of this altered form of CAPM.
Keywords: CAPM; equilibrium in incomplete markets; investment decisions; financial markets (search for similar items in EconPapers)
JEL-codes: D52 D53 G11 (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1142/S2010495224500088
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