Intertemporal Capital Asset Pricing And The Fama French Three Factor Model

Characterizing the instantaneous investment opportunity set by the real interest rate and the maximum Sharpe ratio, a simple model of time varying investment opportunities is posited in which these two variables follow correlated Ornstein-Uhlenbeck processes, and the implications for stock and bond valuation are developed. The model suggests that the prices of certain portfolios that are related to the Fama-French HML and SMB hedge portfolio returns will carry information about investment opportunities. This provides a justification for the risk premia that have been found to be associated with these hedge portfolio returns. Evidence that the FF portfolios are in fact associated with variation in the investment opportunity set is found from an analysis of stock returns. Further evidence of time variation in the real investment opportunity set is found by analyzing bond yields, and the time variation in investment opportunities that is identified from bond yields is shown to be associated both with the time-variation in investment opportunities that is identified from stock returns and with the returns on the Fama-French hedge portfolios. Finally, it is shown that the estimated parameters imply substantial variation in stock prices that is not associated with cash flow expectations.

Seminar paper from the year 2018 in the subject Economics - Finance, grade: 1.7, University of Duisburg-Essen (Faculty of Business and Economics), language: English, abstract: The Capital Asset Pricing Model (CAPM), which is developed by Harry Markowitz, lacks on empirical validation and is not economically fully plausible. By only considering a single period within the CAPM, Merton tried to improve the model by implementing different intertemporal assumptions. This paper focuses on the analysis, if the lack of the CAPM can be improved by using the assumptions of the ICAPM and if the eight investigated models are in the sense of Merton's assumptions. The first chapter reviews a short explanation of the classical CAPM and his critics, followed by Merton's intertemporal CAPM and his assumptions in the next chapter. Additionally, there were models developed, trying to be economically plausible by considering the ICAPM main assumptions, which are presented in the second chapter. A different way to develop an empirical better fitting CAPM is by using empirical motivated state variables. Fama & French started to take this approach by developing the three-factor-model (FF3). A lot of researchers were influenced by the FF3 and made their own version of a multifactor model by implementing variables. Even Fama & French enhanced their three-factor-model by adding further variables. In the third section there is the forecasting power of the four ICAPM models and the four empirical motivated multifactor models on the US market data and on the European market data compared. Then follows an examination if these models can be determined in the sense of the ICAPM restrictions. The last chapter concludes the results.

Seminar paper from the year 2014 in the subject Economics - Finance, grade: 6,0 (Schweizer Notensystem), University of Liechtenstein, früher Hochschule Liechtenstein, language: English, abstract: This paper is focused on comparing the Capital Asset Pricing Model, the Fama-French Three Factor model and two modified versions of the Fama-French Model in their ability to explain excess returns. The first modified model contains the same explanatory variables as the Fama-French Model but with an additional AR(1) process. The second modification contains instead of an additional AR(1) an AR(2) process. Evaluated by the adjusted R2 and the Akaike information criterion, the Fama-French model yields a higher model-fit than the CAPM. The modified Fama-French Model with an AR(2) process leads to significant results for the twice lagged return in the model in four out of six tested portfolios. Therefore, the in-sample regression reveals a higher model-fit of the modified Fama-French model with AR(2) in comparison to the other three models. Since the results differ from a regression in the subsequent period, the results are most likely spurious. Nevertheless, the authors show the high-er model-fit of the Fama-French Three Factor Model in relation to the CAPM.

The thesis tests performances of Capital Asset Pricing Model and Fama-French Three-Factor Model. Through an empirical study on the US stocks from January 2000 to August 2017, the thesis demonstrates that Fama-French Three-Factor model performs better than Capital Asset Pricing Model.

Studies consistently find that inflation is an important augmented factor for intertemporal capital asset pricing models (ICAPMs) when pricing the Fama-French 25 size and book-to-market portfolios. We extend this line of research by investigating two alternative ICAPM models (from Michel; Hahn and Lee) and the three-factor model from Hou et al. We find significant evidence that both ICAPMs and Hou et al.'s three-factor model perform better when augmented with inflation than the original models. The augmented models achieve a good model fit with the fewest factors, thus avoiding or alleviating the over-fitting problem.

Embracing finance, economics, operations research, and computers, this book applies modern techniques of analysis and computation to find combinations of securities that best meet the needs of private or institutional investors.

This book proposes a new capital asset pricing model dubbed the ZCAPM that outperforms other popular models in empirical tests using US stock returns. The ZCAPM is derived from Fischer Black’s well-known zero-beta CAPM, itself a more general form of the famous capital asset pricing model (CAPM) by 1990 Nobel Laureate William Sharpe and others. It is widely accepted that the CAPM has failed in its theoretical relation between market beta risk and average stock returns, as numerous studies have shown that it does not work in the real world with empirical stock return data. The upshot of the CAPM’s failure is that many new factors have been proposed by researchers. However, the number of factors proposed by authors has steadily increased into the hundreds over the past three decades. This new ZCAPM is a path-breaking asset pricing model that is shown to outperform popular models currently in practice in finance across different test assets and time periods. Since asset pricing is central to the field of finance, it can be broadly employed across many areas, including investment analysis, cost of equity analyses, valuation, corporate decision making, pension portfolio management, etc. The ZCAPM represents a revolution in finance that proves the CAPM as conceived by Sharpe and others is alive and well in a new form, and will certainly be of interest to academics, researchers, students, and professionals of finance, investing, and economics.

The issue of whether the Fama and French (FF) three-factor model is consistent with the propositions of Modigliani and Miller (MM) (1958, 1963) has received surprisingly little attention. Yet, unless it is so, the model is at variance with the foundations of finance. Fama and French (FF) (1993, 1995, 1996, 1997) argue that their three-factor asset pricing model is representative of equilibrium pricing models in the spirit of Merton's (1973) inter-temporal capital asset pricing model ICAPM or Ross's (1976) arbitrage pricing theory (APT) (FF, 1993, 1994, 1995, 1996). Such claims however are compromised by the observations of Lally (2004) that the FF (1997) loadings on the risk factors lead to outcomes that are contradictory with rational asset pricing. In response, we outline an approach to adjustment for leverage that leads by construction to compatibility of the FF three-factor model with the Modigliani and Miller propositions of rational pricing.

A supplement for junior/senior and graduate level courses in Investments, Behavioral Finance Theory, and related courses. Teach the concepts that expose the inefficiency of capital markets. The New Finance is a comprehensive and organized collection of evidence and arguments that develop a persuasive case for an inefficient, complex and, at times, nearly chaotic stock market. This brief text also shows students how the complexity and uniqueness of investor interactions have important market pricing consequences. The fourth edition includes two new chapters on the real determinants of expected stock returns and the nature of stock volatility that the Financial Crisis of 2008 has exposed.