scholarly journals Effects of accounting information on excess return using Fama and French three-factor model in order to examine capital market reaction due to dividend announcement

2017 ◽  
Vol 1 (1) ◽  
pp. 39
Author(s):  
Diaraya Diaraya ◽  
Gagaring Pagalung ◽  
Abdul Hamid Habbe ◽  
Ratna Ayu Damayanti
Keyword(s):  
Data Analysis ◽  
Capital Markets ◽  
Capital Market ◽  
Factor Model ◽  
Accounting Information ◽  
Excess Return ◽  
Market Conditions ◽  
Stock Portfolios ◽  
Fama And French ◽  
Three Factor

This paper discussed the effects of accounting information on the excess return of shari’ah stocks and conventional stocks using Fama and French Three Factor Model, and examined the reaction of the capital markets as a result of the dividend announcement. The results and data analysis had yielded 8 stock portfolios. It can be concluded that the AER variable movements had an immediate reaction to the movement, meaning that the dividend announcement brought the content of the information to the capital markets or it can be said that the Indonesian capital market conditions have started heading to a semi-strong form.

scholarly journals A State-Space Version of Fama and French’s Three-Factor Model: Evidence from the Tunisian Stock Exchange

2016 ◽  
Vol 11 (11) ◽  
pp. 214
Author(s):  
Nejla Bergaoui ◽  
Abdelwahed Trabelsi
Keyword(s):  
Business Cycle ◽  
State Space ◽  
Factor Model ◽  
Stock Exchange ◽  
Credit Market ◽  
Market Conditions ◽  
Macroeconomic Factors ◽  
The Business Cycle ◽  
Fama And French ◽  
Three Factor

We develop a state-space version of the three-factor model of Fama and French (1993) for exploring the macroeconomic determinants of risk underlying size (SMB) and value (HML) factors. To the best of our knowledge, this is the first study that examines how loadings on HML and SMB factors are affected by unanticipated changes in macroeconomic factors and whether they exhibit an asymmetric behavior over the business cycle. We test the hypothesis that the betas associated with HML and SMB factors of firms with different size or a different BE/ME ratio react differently to changes in macroeconomic conditions. In addition to the hypothesis that some type of stocks (value and small ones) become more responsive to such a change during period of economic contraction than during an expansion. Our focus is the Tunisian stock Exchange. The evidence we found supports the time variation of portfolios returns’ sensitivities to market, HML and SMB factors with unanticipated changes in monetary and economic conditions. Hence, the assumption of constant coefficients in the traditional three-factor model seems to be unreasonable. Betas associated with HML and SMB factors showed countercyclical behavior through the phases of the business cycle. In a recession, value (small) firm’s risk associated with the HML (SMB) factor is more strongly affected by worsening credit market conditions than during an economic expansion. Further results show that value (small) firm’s risk associated with the HML (SMB) factor is more strongly affected by tighter credit market conditions than growth (large) firm’s risk. Thus, our results most closely support a risk-based explanation for SMB and HML.

scholarly journals Reaksi Pasar atas Manajemen Laba

2019 ◽  
Vol 2 (1) ◽  
pp. 1
Author(s):  
Fery Friyo Handoko ◽  
Mu'minatus Sholichah
Keyword(s):  
Data Analysis ◽  
Earnings Management ◽  
Empirical Evidence ◽  
Capital Market ◽  
Abnormal Return ◽  
Accounting Information ◽  
Financial Statement ◽  
Agency Conflict ◽  
Manufacturing Company ◽  
Simple Regression

Abstract This research examine the capital market reaction on earnings management.  Agency conflict represented by information asymetry caused earnings management.  Managers have incentive to play accounting method and estimate to gain certain amount of earnings.  Hereafter, investor have interest regarding their invesment decision.  They rely on accounting information that represented in financial statement.Based on premise in Signalling Theory, we then hypothesized that investor would response any information addressed to them.Sample and population that used to test hypothesis taken from listed manufacturing company during 2015-2017.  We documenting data from financial statement items.  We obtain 40 manufacturing company that comply to purposive sampling requirement.  We use simple regression to do data analysis.  We found the empirical evidence that market reac the earnings management indication.  There is empirical fact that cummulative abnormal return decreas when determinate by discretionarry accruals.  This research conclude that market reacting the earnings management indication generally.

PERBANDINGAN FAMA AND FRENCH THREE FACTOR . MODEL DENGAN CAPITAL ASSET PHCING MODEL

2008 ◽  
Vol 4 (2) ◽  
pp. 132
Author(s):  
Dede Irawan Saputra ◽  
Umi Murtini
Keyword(s):  
Factor Model ◽  
Market Size ◽  
Capital Asset ◽  
Fama And French ◽  
Three Factor

Penelitian ini bertujuan untuk menguji kemompuon Fama and Freneh three factor model dalom menjelaskan retum jortofolio dibandingkan dengan CAPM. Data yang digmakm pda penelitiot ini adatah d*a sekunder dari perusahaan yang masuk dalam LQ-45 dari periede Februari 2000 sampai Juli 2007- Sampel yang digunakan adaleh perusahaan yang selalu masuk datam Lg-45 selona periode penelitian- Hasil penelitian menwtjukkan batma betdasukmtnilai adjusted P dapat disimpulkan bahwa CAPM lebih mampu menjelaskot return partofolia dibandingkan dengan Fama and French three factor model Hal ini dryot dilihat dari nilai adjusted N CAPM yang lebih besar dibanding nilai adjusted,F Fama and Frqnch three factor modelKeywords: z Market, Size, BEIME, dan Adjusted R2

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.

Overreaction evidence from large-cap stocks

2014 ◽  
Vol 13 (4) ◽  
pp. 310-325 ◽  
Author(s):  
Tibebe Abebe Assefa ◽  
Omar A. Esqueda ◽  
Emilios C. Galariotis
Keyword(s):  
Stock Returns ◽  
Factor Model ◽  
Investment Strategy ◽  
Past Performance ◽  
Content Type ◽  
Multifactor Models ◽  
Contrarian Strategy ◽  
Fama And French ◽  
Investment Portfolios ◽  
Three Factor

Purpose – The purpose of this paper is to assess the performance of a contrarian investment strategy focusing on frequently traded large-cap US stocks. Previous criticisms that losers’ gains are not due to overreaction but due to their tendency to be thinly traded and smaller-sized firms than winners are addressed. Design/methodology/approach – Portfolios based on past performance are constructed and it is examined whether contrarian returns exist. The Capital Asset Pricing Model (CAPM), Fama and French three-factor model and the Carhart’s (1997) momentum portfolio are used to test whether excess returns are feasible in a contrarian strategy. Findings – The results show an asymmetric performance following portfolio formation. Although both, winners and losers portfolios, have gains during holding periods, losers outperform winners at all times, and with a differential of up to 29.2 per cent 36 months after portfolio formation. Furthermore, the loser and the winner portfolios’ alphas are significant, suggesting that the CAPM and the multifactor models are unable to explain return differentials between winners and losers. Our evidence supports two main conclusions. First, stock market overreaction still holds for a sample of large firms. Second, this is robust to the Fama and French’s (1993, 1996) three-factor model and Carhart’s (1997) momentum portfolio. Findings emphasize the relevance of a contrarian strategy when rebalancing investment portfolios. Practical implications – Portfolio managers can improve stock returns by selling past winners and buying previous loser large-cap US stocks. Originality/value – This paper is the first, to the authors’ knowledge, to examine frequently traded large-cap US stocks to avoid infrequent trading and size concerns.

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>

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