scholarly journals Is the Long Memory Factor Important for Extending the Fama and French Five-Factor Model: Evidence from China

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Yicun Li ◽  
Yuanyang Teng ◽  
Wei Shi ◽  
Lin Sun
Keyword(s):  
Long Memory ◽  
Hurst Exponent ◽  
Factor Model ◽  
Five Factor Model ◽  
Explanatory Power ◽  
Size Factor ◽  
Chinese Stock Market ◽  
Memory Factor ◽  
Weak Factor ◽  
Fama And French

This paper proposes a new factor model, which is built upon the marriage of the Fama and French five-factor model and a long memory factor based on the monthly data of the A-share market in the Chinese stock market from January 2010 to July 2020. We first examine the explanatory power of the Fama and French five-factor model. We find strong market factor return of market (RM), size factor small minus big (SMB), and value factor high minus low (HML) but weak factor robust minus weak (RMW) and investment factor conservative minus aggressive (CMA). Then, both the Hurst exponent and the momentum factors (MOM) are added to the model to test the improvement of the explanatory power of these two new factors. We find that both the momentum factor and the Hurst exponent factor can effectively improve the explanatory power of the model. The momentum factor captures the short-term trend, but it cannot completely replace the Hurst exponent, which reflects the long memory effect.

Applying the Fama and French three-factor model to analyze risk/reward in the Spanish REITs: an ARDL approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Zhenyu Su ◽  
Paloma Taltavull
Keyword(s):  
Growth Rate ◽  
Factor Model ◽  
Explanatory Power ◽  
Gdp Growth ◽  
Size Factor ◽  
Content Type ◽  
Gdp Growth Rate ◽  
Fama And French ◽  
Three Factor

Purpose This paper aims to analyse the risk and excess returns of the Spanish real estate investment trusts (S-REITs) using various methods, though focusing primarily on the Fama-French three-factor (FF3) model, over the period from 2007Q3 to 2017Q2. Design/methodology/approach The autoregressive distributed lag model is used for the empirical analysis to test long-term stable relationships between variables. Findings The findings indicate that the FF3 model is suitable for the S-REITs market, better explaining the S-REITs’ returns variation than the traditional single-index capital asset pricing model (CAPM) and the Carhart four-factor model. The empirical evidence is reasonably consistent with the FF3 model; the values for the market, size and value are highly statistically significant over the analysis period, with 68.7% variation in S-REITs’ returns explained by the model. In the long run, the market factor has less explanatory power than the size and value factors; the positive long-term multiplier of the size factor indicates that small S-REIT companies have higher returns, along with higher risk, while the negative multiplier of the value indicator suggests that S-REITs portfolios prefer to allocate growth REITs with low book-to-market ratios. The empirical findings from a modified FF3 model, which additionally incorporates Spain’s gross domestic product (GDP) growth rate, two consumer price index (CPI) macro-factors and three dummy variables, indicates that GDP growth rate and CPI also affect S-REITs’ yields, while investment funds with capital calls have a small influence on S-REITs’ returns. Practical implications The regression results of the standard and extended FF3 model can help researchers understand S-REITs’ risk and return through a general stock pattern. Potential investors are given more information to consider the new Spanish investment vehicle before making a decision. Originality/value The paper uses standard techniques but applies them for the first time to the S-REIT market.

scholarly journals Analysis of the Spanish IBEX-35 Companies’ Returns Using Extensions of the Fama and French Factor Models

Symmetry ◽  
2020 ◽  
Vol 12 (2) ◽  
pp. 295 ◽  
Author(s):  
Francisco Jareño ◽  
María de la O González ◽  
Laura Munera
Keyword(s):  
Interest Rates ◽  
Factor Model ◽  
Five Factor Model ◽  
Explanatory Power ◽  
Factor Models ◽  
Final Conclusion ◽  
Economic Cycle ◽  
Explanatory Factors ◽  
Nominal Interest Rates ◽  
Fama And French

This paper studies in depth the sensitivity of Spanish companies’ returns to changes in several risk factors between January 2000 and December 2018 using the quantile regression approach. Concretely, this research applies extensions of the Fama and French three- and five-factor models (1993 and 2015), according to González and Jareño (2019), adding relevant explanatory factors, such as nominal interest rates, the Carhart (1997) risk factor for momentum and for momentum reversal and the Pastor and Stambaugh (2003) traded liquidity factor. Additionally, for robustness, this paper splits the entire sample period into three sub-sample periods (pre-crisis, crisis and post-crisis) to analyse the results according to the economic cycle. The main conclusions of this paper are fourfold: First, these two models have the greatest explanatory power in the extreme quantiles of the return distribution (0.1 and 0.9) and more specifically in the lowest quantile 0.1. Second, the second model, based on the Fama and French five-factor model, shows the highest explanatory power not only in the full period but also in the three sub-periods. Third, the bank BBVA is the company that shows the highest sensitivity to changes in the explanatory factors in most periods because its adjusted R2 is the highest. Fourth, the stage of the economy with the highest explanatory power is the crisis subperiod. Thus, the final conclusion of this paper is that the second model explains best variations in Spanish companies’ returns in crisis stages and low quantiles.

scholarly journals Interest rate sensitivity of spanish companies. An extension of the Fama-French five-factor model

2018 ◽  
Vol 68 (4) ◽  
pp. 617-638 ◽  
Author(s):  
Francisco Jareño ◽  
María de la O González ◽  
Marta Tolentino ◽  
Sara Rodríguez
Keyword(s):  
Interest Rates ◽  
Stock Returns ◽  
Factor Model ◽  
Five Factor Model ◽  
Explanatory Power ◽  
Rate Sensitivity ◽  
Share Prices ◽  
Explanatory Variables ◽  
Fama And French ◽  
Recent Financial Crisis

This paper studies the sensitivity of share prices of Spanish companies included in the IBEX-35 to changes in different explanatory variables, such as market returns, interest rates and factors proposed by Fama and French (1993, 2015) between 2000 and 2016. In addition, for robustness, this paper analyses whether the sensitivity of stock returns is different between two periods: precrisis and recent financial crisis. The results confirm that, in general, all the considered factors are relevant. Furthermore, “market return” and “size” factors show greater explanatory power, together with the “value” factor in the crisis period. Regarding the analysis at sector level, “Oil and Energy”, “Basic Materials, Industry and Construction” and “Financial and Real Estate Services” sectors appear to be highly sensitive to changes in the risk factors included in the asset pricing factor model.

Who is King in Factor Zoo? Case of the Chinese Stock Market

2020 ◽  
Vol 14 (2) ◽  
pp. 77-102
Author(s):  
Simon M. S. So
Keyword(s):  
Asset Pricing ◽  
Stock Market ◽  
Stock Returns ◽  
Factor Model ◽  
Five Factor Model ◽  
Investment Strategy ◽  
Capital Asset Pricing ◽  
Chinese Stock Market ◽  
Fama And French ◽  
Three Factor

This paper aimed to evaluate and compare individual performances and contributions of seven well-known factors, selected from four widely cited asset pricing models: (1) the capital asset pricing model of Sharpe (1964), (2) the three-factor model of Fama and French (1993) the augmented four-factor model of Carhart (1997), (3) the five-factor model of Fama and French (2015), and (4) the illiquidity model of Amihud, et al. (2015) in capturing the time-series variation of stock returns and absorbing the 12 prominent anomalies. The anomalies were constructed by forming long-short portfolios, and regressions were run to examine their monthly returns from 2000 to 2019. We found that there is no definite and absolute “king” in the factor zoo in the Chinese stock market, and size is the relative “king” that can absorb the maximum number of anomalies. Evidence also indicates that the three-factor model of Fama and French may still play an important role in pricing assets in the Chinese stock market. The results can provide investors with a reliable risk factor and help investors form an effective investment strategy. This paper contributes to asset pricing literature in the Chinese market.G1

Analysis of stock returns of main European service and tourism companies

2021 ◽  
pp. 135481662199298
Author(s):  
Francisco Jareño ◽  
Ana Escribano ◽  
M Pilar Torres
Keyword(s):  
Interest Rates ◽  
Stock Returns ◽  
Factor Model ◽  
Five Factor Model ◽  
Explanatory Power ◽  
Sample Period ◽  
Services Sector ◽  
Explanatory Factors ◽  
Nominal Interest Rates ◽  
Fama And French

This research explores the sensitivity of the returns of some selected European companies to changes in the explanatory factors proposed during the sample period between January 2000 and December 2019. We focus on listed companies in the tourism and services sector and estimate an extension of the Fama and French five-factor model (2015) by applying the quantile regression approach. Specifically, this study starts from the Fama and French risk factors and adds the nominal interest rates, a momentum and momentum reversal factors and a traded liquidity factor. For robustness, this research divides the whole sample period into three sub-periods: pre-crisis, crisis and post-crisis. In line with the previous literature, the explanatory power of this factor model shows a U-shape, which is compatible with the highest R2 coefficients in the extreme quantiles, as well as in extreme stages of the economy, that is, in the bullish and bearish market states.

Does Five-Factor Model Perform Better Than Three Factor Model? Evidence from Developed Countries of The Asia Pacific Region

2021 ◽  
Vol 3 (2) ◽  
pp. 119-132
Author(s):  
Ume Salma Akbar ◽  
Niaz Ahmed Bhutto ◽  
Suresh Kumar Oad Rajput
Keyword(s):  
Factor Model ◽  
Five Factor Model ◽  
Explanatory Power ◽  
Developed Countries ◽  
Asia Pacific ◽  
Size Factor ◽  
Pacific Region ◽  
Asia Pacific Region ◽  
Three Factor ◽  
Better Than

This study evaluates whether the “Fama-French five-factor model” can explain the variations in expected returns better than the “three-factor model.” Using the stock returns and accounting variable data from DataStream for 1,300 plus listed firms across six developed countries of the Asia Pacific region, including; Australia, Hong Kong, Japan, Israel, New Zealand, and Singapore for the period of Jun-2006 to February-2020. The paper is the first to examine the “five-factor model” performance across the developed countries of the Asia Pacific region. The empirical findings reveal that the Asia Pacific region for the sample period earns an equity premium. In addition, results report the redundancy of size factor (SMB) and value factor (HML), while the profitability (RMW) and investment premium (CMA) are positive and significant. Moreover, the study used Gibbons, Ross, and Shanken (GRS) test to the asset pricing model. The GRS test results on the “five-factor model” compared with the “three-factor model” demonstrate that profitability and investment factors add significant explanatory power to the analysis in the Asia Pacific region.

scholarly journals Choosing Factors for the Vietnamese Stock Market

2021 ◽  
Vol 14 (3) ◽  
pp. 96
Author(s):  
Nina Ryan ◽  
Xinfeng Ruan ◽  
Jin E. Zhang ◽  
Jing A. Zhang
Keyword(s):  
Stock Returns ◽  
Factor Model ◽  
Five Factor Model ◽  
Explanatory Power ◽  
Factor Models ◽  
Marginal Contribution ◽  
Return On Equity ◽  
Factor Modeling ◽  
Three Factor ◽  
Better Than

In this paper, we test the applicability of different Fama–French (FF) factor models in Vietnam, we investigate the value factor redundancy and examine the choice of the profitability factor. Our empirical evidence shows that the FF five-factor model has more explanatory power than the FF three-factor model. The value factor remains important after the inclusion of profitability and investment factors. Operating profitability performs better than cash and return-on-equity (ROE) profitability as a proxy for the profitability factor in FF factor modeling. The value factor and operating profitability have the biggest marginal contribution to a maximum squared Sharpe ratio for the five-factor model factors, highlighting the value factor (HML) non-redundancy in describing stock returns in Vietnam.

scholarly journals The Fama-French Five-Factor Model Plus Momentum: Evidence for the German Market

2020 ◽  
Vol 72 (4) ◽  
pp. 661-684 ◽  
Author(s):  
Philipp Dirkx ◽  
Franziska J. Peter
Keyword(s):  
Asset Pricing ◽  
Preliminary Analysis ◽  
Factor Model ◽  
Five Factor Model ◽  
Explanatory Power ◽  
Market Size ◽  
German Market ◽  
Monthly Data ◽  
Factors Associated ◽  
Country Specific

Abstract We implement the Fama-French five-factor model and enhance it with a momentum factor for the German market using recent monthly data from 2002 to 2019. We construct the factors associated with the market, size, value, profitability, investment, and momentum for the CDAX constituents and examine to what extent this six-factor model captures the return premia in the German market. Our preliminary analysis does not document any significant evidence on the profitability or investment premium. The results on the six-factor model compared with the three-factor model reveal that the additional factors do not add significant explanatory power to the analysis. We conclude that the relevance of the profitability and investment factors within the context of international asset pricing studies cannot be transferred to the country- specific case of the German market.

Tracing the Big Five in parents' free descriptions of their children

1995 ◽  
Vol 9 (4) ◽  
pp. 283-304 ◽  
Author(s):  
Geldolph A. Kohnstamm ◽  
Ivan Mervielde ◽  
Elias Besevegis ◽  
Charles F. Halverson
Keyword(s):  
Rating Scales ◽  
Factor Model ◽  
Five Factor Model ◽  
Explanatory Power ◽  
Second Phase ◽  
Personality Psychology ◽  
Coding Scheme ◽  
Adult Personality ◽  
Interesting Culture ◽  
The Usa

Because of the impressive replicability of the Five‐Factor Model (FFM) in adult personality psychology, developmental psychologists have recently begun a search for the antecedents of these five adult dimensions in childhood. The FFM originates in rating scales applied to ‘personality words’, notably adjectives, selected from dictionaries. To test the explanatory power of the FFM as a model for individual differences in childhood, we used a different source for the lexicon of personality. Parents of children aged 3, 6, 9, and 12 years were asked simply ‘to describe your child’. The audiotaped interviews were transcribed literally and then coded using an elaborate coding scheme. We here describe data from three of the countries involved in this cross‐cultural project (Holland, Belgium, and Greece). The data are the results of coding free descriptions for a total of 186 3‐year‐olds and 229 9‐year‐olds. These data represent the first phase of a four‐phase project that includes researchers from The Netherlands, Belgium, Greece, Poland, Germany, the USA, and China. Results from this first phase were very similar over the participating countries although there were some interesting culture‐specific differences. In the second phase, questionnaire items based on the free descriptors in each category of the coding scheme will be written by the research teams. Such items will be rated by new samples of parents. Factor analyses will reduce the item pool to about one hundred items. These will then be given to new samples of parents of children of the ages indicated above. In the last phase, the factor structures will be compared across cultures and be analysed for their resemblance to the FFM, as well as other models of the structure of temperament and personality in childhood.

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