scholarly journals Stock Return Variations: The Validity of Systemic Risk, Size and Valuation as Explanatory Variables in the Lebanese Stock Market

2021 ◽  
Vol 12 (3) ◽  
pp. 135
Author(s):  
Jamil Chaya ◽  
Jamil A. Hammoud ◽  
Wael A. Saleh
Keyword(s):  
Stock Market ◽  
Risk Premium ◽  
Systemic Risk ◽  
Stock Return ◽  
Factor Model ◽  
Expected Returns ◽  
Investment Strategies ◽  
Explanatory Variables ◽  
Fama And French ◽  
High Level

Understanding stock return variations and accounting for their drivers help academics and practitioners estimate expected returns and gauge risk exposures, thereby optimizing investment strategies. This paper seeks to study the effect of systemic risk, size and valuation on stock return, in the Lebanese stock market. The research design and methodology are the Fama French Factor Model (FFFM) as developed by Fama and French in their seminal work of 1993. The research demonstrates validity of the three variables in question, and that is consistent with results obtained for global equity markets. However, the results exhibit a negative market risk premium with respect to US T-bills, and a high level of factor inter-correlation for the period in question.

Evidence on aggregate volatility risk premium for the French stock market

2019 ◽  
Vol 46 (1) ◽  
pp. 72-91
Author(s):  
Amal Zaghouani Chakroun ◽  
Dorra Mezzez Hmaied
Keyword(s):  
Risk Factor ◽  
Stock Market ◽  
Risk Premium ◽  
Factor Model ◽  
Excess Returns ◽  
Time Series Regression ◽  
Volatility Risk ◽  
Content Type ◽  
Volatility Risk Premium ◽  
Fama And French

Purpose The purpose of this paper is to examine alternative six- and seven-factor equity pricing models directed at capturing a new factor, aggregate volatility, in addition to market, size, book to market, profitability, investment premiums of the Fama and French (2015) and Fama and French’s (2018) aggregate volatility augmented model. Design/methodology/approach The models are tested using a time series regression and Fama and Macbeth’s (1973) methodology. Findings The authors show that both six- and seven-factor models best explain average excess returns on the French stock market. In fact, the authors outperform Fama and French’s (2018) model. The authors use sensitivity of aggregate volatility of a stock VCAC as a proxy to construct the aggregate volatility risk factor. The spanning tests suggest that Fama and French’s (1993, 2015, 2018) and Carhart’s (1997) models do not explain the aggregate volatility risk factor FVCAC. The results show that the FVCAC factor earns significant αs across the different multifactor models and even after controlling for the exposure to all the other in Fama and French’s (2018) model. The asset pricing tests show that it is systematically priced. In fact, the authors find a significant and negative (positive) relation between the aggregate volatility risk factor and the excess returns in the French stock market when it is rising (falling), in addition, periods with downward market movements tend to coincide with high volatility. Originality/value The authors contribute to the related literature in several ways. First, the authors test two new empirical six- and seven-factor model and the authors compare them to Fama and French’s (2018) model. Second, the authors give new evidence about the VCAC, using it for the first time to the authors’ knowledge, to construct a volatility risk premium.

Pricing models of shares of Russian companies and their practical application

2019 ◽  
pp. 48-76 ◽  
Author(s):  
Alexander E. Abramov ◽  
Alexander D. Radygin ◽  
Maria I. Chernova
Keyword(s):  
Stock Market ◽  
Institutional Investors ◽  
Factor Model ◽  
Investment Strategies ◽  
Pricing Models ◽  
Foreign Portfolio Investment ◽  
Market Portfolio ◽  
Stock Market Performance ◽  
Long Time ◽  
Russian Stock Market

The article analyzes the problems of applying stock pricing models in the Russian stock market. The novelty of the study lies in the peculiarities of the methodology used and the substantive conclusions on the specifics of the influence of fundamental factors on the pricing of shares of Russian companies. The study was conducted using its own 5-factor basic pricing model based on a sample of the most complete number of issues of shares of Russian issuers and a long time horizon, from 1997 to 2017. The market portfolio was the widest for a set of issuers. We consider the factor model as a kind of universal indicator of the efficiency of the stock market performance of its functions. The article confirms the significance of factors of a broad market portfolio, size, liquidity and, in part, momentum (inertia). However, starting from 2011, the significance of factors began to decrease as the qualitative characteristics of the stock market deteriorated due to the outflow of foreign portfolio investment, combined with the low level of development of domestic institutional investors. Also identified is the cyclical nature of the actions of company size and liquidity factors. Their ability to generate additional income on shares rises mainly at the stage of the fall of the stock market. The results of the study suggest that as domestic institutional investors develop on the Russian stock market, factor investment strategies can be used as a tool to increase the return on investor portfolios.

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.

scholarly journals MULTIFACTOR ASSET PRICING ANALYSIS OF THE BALTIC STOCK MARKET

Ekonomika ◽  
2010 ◽  
Vol 89 (4) ◽  
pp. 85-95 ◽  
Author(s):  
Raimonds Lieksnis
Keyword(s):  
Asset Pricing ◽  
Stock Market ◽  
Factor Model ◽  
Stock Market Index ◽  
Cross Sectional ◽  
Economic Significance ◽  
Market Index ◽  
Fama And French ◽  
The Baltic ◽  
Three Factor

This study investigates whether the Fama–French three-factor asset pricing model is applicable for explaining cross-sectional returns of stocks listed in the Baltic stock exchanges. Findings confirm the validity and economic significance of the three-factor model for the Baltic stock market: only investors who chose to invest in value stocks during the reference period achieved positive returns by matching or beating the returns of the stock market index. The monthly returns of 8 Latvian, 13 Estonian and 27 Lithuanian company stocks are analyzed for the time period from June 2002 till February 2010 by the methodology presented in Davis, Fama, and French (2000). Cross-sectional multivariate regression is calculated with stock portfolios representing the book-to-market and capitalization of companies as independent variables along with the stock market index. The study concludes that these three factors in the three-factor model are statistically significant, but, in line with earlier studies, regression intercepts are significantly different from zero and the model is not statistically confirmed.p>

scholarly journals A Comparative Study between the Fama and French Three-Factor Model and the Fama and French Five-Factor Model: Evidence from the Egyptian Stock Market

2019 ◽  
Vol 12 (1) ◽  
pp. 52 ◽  
Author(s):  
Nada S. Ragab ◽  
Rabab K. Abdou ◽  
Ahmed M. Sakr
Keyword(s):  
Asset Pricing ◽  
Stock Market ◽  
Factor Model ◽  
Five Factor Model ◽  
Pricing Models ◽  
Asset Pricing Models ◽  
Time Period ◽  
Model Evidence ◽  
Fama And French ◽  
Three Factor

The focus of this paper is to test whether the Fama and French three-factor and five factor models can capture the variations of returns in the Egyptian stock market as one of the growing emerging markets over the time-period July 2005 to June 2016. To achieve this aim, following Fama and French (2015), the authors construct the Fama and French factors and three sets of test portfolios which are: 10 portfolios double-sorted on size and the BE/ME ratio, 10 portfolios double-sorted on size and operating profitability, and 10 portfolios double-sorted on size and investment for the Egyptian stock market. Using time-series regressions and the GRS test, the results show that although both models cannot be rejected as valid asset pricing models when applied to portfolios double-sorted on size and the BE/ME ratio, they still leave substantial variations in returns unexplained given their low adjusted R2 values. Similarly, when the two models are applied to portfolios double-sorted on size and investment, the results of the GRS test show that both models cannot be rejected. However, when the two models are applied to portfolios double-sorted on size and operating profitability, the results of the GRS test show that both models are strongly rejected which imply that both models leave substantial variations in returns related to size and profitability unexplained. Specifically, the biggest challenge to the two models is the big portfolio with weak profitability which generate a significantly negative intercept implying that the models overestimate its return.

scholarly journals Cross-Sector Style Analysis Of Global Equities Based On The Fama And French Three-Factor Model

2012 ◽  
Vol 11 (2) ◽  
pp. 161
Author(s):  
Heng-Hsing Hsieh ◽  
Kathleen Hodnett
Keyword(s):  
Portfolio Management ◽  
Risk Premium ◽  
Factor Model ◽  
Statistical Significance ◽  
Abnormal Returns ◽  
Risk Premiums ◽  
Portfolio Returns ◽  
Fama And French ◽  
Resource Sector ◽  
Sector Returns

Although the ability of the Fama and French (1993) 3-factor model in explaining style-based portfolio returns have been widely tested, no such test has been conducted on sector-based portfolios. The study conducted by Hsieh and Hodnett (2011) indicate that the resource sector yields significant abnormal returns under the capital asset pricing model (CAPM) over the period from 1999 to 2009. In addition, the book value-to-market ratio and market capitalization are found to have pervasive effects on the pricing of sector returns for global equities. Motivated by this insight, we undertake to test the ability of the Fama and French (1993) 3-factor model in explaining the variations in the global sector returns. Our test results indicate that the market risk premium is the most significant factor that drives the returns in all sectors under review. Although the positive abnormal returns of the resource sector dissipates under the 3-factor model, the industrial sector and the information technology (I.T.) sector yield abnormal returns under the 3-factor model. Unlike the empirical findings on the style portfolios, the signs and statistical significance of the exposures to the value and size risk premiums are not consistent across all sectors. This finding suggests that sector exposures are more unique and distinctive compared to the style portfolios. It could be argued that since most of the style portfolios are directly related to the value and size anomalies, any factor model that incorporates risk premiums on these anomalies would significantly explain the style portfolio returns. However, the ability of such factor model in explaining returns on portfolios formed using methodologies other than style anomalies, such as sector portfolio returns, would be questionable. Taking into account the rising global integration, sector allocation might be more effective in terms of global active portfolio management or international diversification than style allocation and country allocation.

scholarly journals Neglected Firm Effect and Stylized Equity Returns: Evidence from Pakistan

2015 ◽  
Vol 50 ◽  
pp. 100-106 ◽  
Author(s):  
Adnan Akhter ◽  
Shahzad Butt ◽  
Shumaila Chaudhary ◽  
Junaid Kiyani
Keyword(s):  
Stock Market ◽  
Factor Model ◽  
Investment Decision ◽  
Explanatory Power ◽  
Equity Returns ◽  
Analyst Coverage ◽  
Efficient Resource ◽  
The Usa ◽  
Fama And French ◽  
Firm Effect

The neglected stock effect is the phenomenon where less researched stock earns more return than that predicted by the traditional CAPM. The aim of this study is to reveal the bonding between neglected stock premium and equity returns in the stock market of Pakistan by using Fama and French (1992 & 1993) methodology. This study is unique with respect to Pakistan that checks the relationship among neglected stock premium and equity returns on a sample of 200 stocks listed the largest stock market of Pakistan KSE. It is corroborated that neglected firm effect is present in market and priced by the market. This manifests that those stocks which are neglected, less researched and got less analyst coverage earn higher return in comparison to popular stocks that got more analyst coverage. The results also revealed that two factor model has greater explanatory power in comparison to Traditional CAPM. The results of this study are in line with the findings of Arbel and Strebel (1980) and Bertin, Michayluk and Prather (2008) for the USA equity market. Lower research analyst coverage increases the uncertainty for investor that how the company will perform in the future, which ultimately increase the risk factor and so the demand of return from the investors. The decision makers must consider this anomaly while making decisions regarding financing, investing etc. This study will facilitate the investors in taking effective investment decision and for efficient resource allocation.

scholarly journals Comparing Asset Pricing Factor Models under Multivariate t-Distribution: Evidence from China

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Xi Sun ◽  
Yihao Chen ◽  
Yulin Chen ◽  
Zhusheng Lou ◽  
Lingfeng Tao ◽  
...  
Keyword(s):  
Asset Pricing ◽  
Stock Market ◽  
Stock Return ◽  
Model Comparison ◽  
Factor Model ◽  
Factor Models ◽  
Comparison Results ◽  
Distributional Assumptions ◽  
Stock Return Anomalies ◽  
T Distribution

Factor models provide a cornerstone for understanding financial asset pricing; however, research on China’s stock market risk premia is still limited. Motivated by this, this paper proposes a four-factor model for China’s stock market that includes a market factor, a size factor, a value factor, and a liquidity factor. We compare our four-factor model with a set of prominent factor models based on newly developed likelihood-ratio tests and Bayesian methods. Along with the comparison, we also find supporting evidence for the alternative t-distribution assumption for empirical asset pricing studies. Our results show the following: (1) distributional tests suggest that the returns of factors and stock return anomalies are fat-tailed and therefore are better captured by t-distributions than by normality; (2) under t-distribution assumptions, our four-factor model outperforms a set of prominent factor models in terms of explaining the factors in each other, pricing a comprehensive list of stock return anomalies, and Bayesian marginal likelihoods; (3) model comparison results vary across normality and t-distribution assumptions, which suggests that distributional assumptions matter for asset pricing studies. This paper contributes to the literature by proposing an effective asset pricing factor model and providing factor model comparison tests under non-normal distributional assumptions in the context of China.

Sign in / Sign up

Export Citation Format

Share Document