Abstract:Many literatures studied the relationship between the leverage and the value of firms. Some studies found no relationship and other studies show that the relationship is positive, however, another studies show that the relationship is negative. Therefore, the leverage-value relationship seems to be an unresolved puzzle in the capital structure empirical literature.Therefore, this study seeks to examine the leverage-value relationship to interpret the significant and the direction of this relationship by using … Show more
“…So negative relationship between the leverage factor and the average returns of 25 size-B/M portfolios is founded. This result on (lev) is similar to that shown by Mahran (2015) who found that in spite of the difference among firms in growth opportunities or in operating efficiency, the leverage (book or market) have a significant negative effect on both the firm value and the difference between firm value and the industry value in the Saudi stock market.…”
Section: G the Empirical Results Of Six-factor Modelsupporting
This paper compares and evaluates the performance of eight different multifactor assetpricing models to identify and explain Anomalies in Saudi stock market (SSM). Data set of daily stock prices and returns are collected for all companies that issue shares (152 companies) which represent all sectors in the SSM during the period from 2009 to 2013. The 25 size-BE/ME portfolios are formed by the intersection of size and BE/ME quintiles (5x5 Size-BE/ME sorts). The empirical results show that each of capital asset pricing models CAPM, the Fama-French three-factor model, the Cahart model, the four factor model of Chan and Faff four factor model and the five -factor model (Adding liquidity to four factor model) have coefficients of the factors (Bp, Sp, hp, wp and L ) to be significantly different from zero. Furthermore adjusted R 2 s range from 29% to 78% but all of them produce an intercept that is significantly different from zero for 12-16 portfolios. However, by adding leverage and test the six-factor asset pricing model, the evidence confirms the significance of this model to explain return variation with adjusted R 2 ranges from 39% to 83% and the intercept are not significant for 17 portfolios out of 25. Moreover, the results of testing six-factor model by adding standard deviation of residualprovide supportive evidence to the six-factor model.
“…So negative relationship between the leverage factor and the average returns of 25 size-B/M portfolios is founded. This result on (lev) is similar to that shown by Mahran (2015) who found that in spite of the difference among firms in growth opportunities or in operating efficiency, the leverage (book or market) have a significant negative effect on both the firm value and the difference between firm value and the industry value in the Saudi stock market.…”
Section: G the Empirical Results Of Six-factor Modelsupporting
This paper compares and evaluates the performance of eight different multifactor assetpricing models to identify and explain Anomalies in Saudi stock market (SSM). Data set of daily stock prices and returns are collected for all companies that issue shares (152 companies) which represent all sectors in the SSM during the period from 2009 to 2013. The 25 size-BE/ME portfolios are formed by the intersection of size and BE/ME quintiles (5x5 Size-BE/ME sorts). The empirical results show that each of capital asset pricing models CAPM, the Fama-French three-factor model, the Cahart model, the four factor model of Chan and Faff four factor model and the five -factor model (Adding liquidity to four factor model) have coefficients of the factors (Bp, Sp, hp, wp and L ) to be significantly different from zero. Furthermore adjusted R 2 s range from 29% to 78% but all of them produce an intercept that is significantly different from zero for 12-16 portfolios. However, by adding leverage and test the six-factor asset pricing model, the evidence confirms the significance of this model to explain return variation with adjusted R 2 ranges from 39% to 83% and the intercept are not significant for 17 portfolios out of 25. Moreover, the results of testing six-factor model by adding standard deviation of residualprovide supportive evidence to the six-factor model.
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