scholarly journals How Well the Implementation of Carhart Model in Market Overreaction Condition? Evidence in Indonesia Stock Exchange

2018 ◽  
Vol 7 (4.38) ◽  
pp. 928
Author(s):  
Ferikawita M. Sembiring ◽  
. .

This study aims to determine an ability of the four-factor model of Carhart in explaining the portfolio returns formed in condition of market overreaction. The four-factor model is basically a model proposed by Fama and French and then developed by Carhart which adds price momentum factor into the model. While market overreaction is a market condition caused by excessive reactions from investors when receiving information. The portfolios used are the winner and loser formed based on the returns of each portfolio to the average of the returns. Both portfolio consist are the stocks of non-financial sector in Indonesia Stock Exchange during the period July 2005 - December 2015. The data used are the Composite Stock Price Index (CSPI), stock market capitalization, book to market ratio of each shares and the difference of returns of the loser over of the winner, as an indicator of price momentum factor that formed in market overreaction condition characterized by occurance the reversal of returns.The results show that the four-factor model can explain the portfolio return well. Implementation of the GARCH (1,1) model to improve the accuracy of the estimation results also shows similar findings.     

2018 ◽  
Vol 15 (2) ◽  
pp. 138-145
Author(s):  
Dormauli Justina

Tujuan penelitian – To examine effect of firm size and market to book ratio on portfolio return.Desain/Metodologi/Pendekatan – Research sample consists of manufacture firm stock listed in Indonesian Stock Exchange 2011-2013. Portfolio return measured by excess return of average 5 highest return and 5 lowest return. Portfolio firm size measured by differences of average return of 5 biggest firm size with 5 smallest firm size. Portfolio book to market ratio measured by differences of average return of 5 highest book to market ratio with 5 lowest book to market ratioTemuan – Based on regression analysis, firm size and book to market ratio have negative effect on portfolio return. The result confirms existence of three factor model in return determination. Investor captures the size effect and financial distress indication of book to market ratio in return estimation and stock investment decision making.Keterbatasan penelitian – This research only used manufacture firm as sample, so the result could not be generalized to all firm population at Indonesia Stock Exchange. This research also did not separate between active stock and inactive stock which were traded monthly, so it probably there was bias return calculation because of the inactive stock.Originality/value – the high of book to market ratio showed that the firm had bad performance and tend to financial distress or poor prospect.


2020 ◽  
Vol 11 (2) ◽  
pp. 5-18
Author(s):  
Mustafa Hussein Abd-Alla ◽  
Mahmoud Sobh

We test the empirical validity of the three-factor model of Fama and French in the Egyptian Stock Exchange (EGX) using monthly excess stock returns of 50 stocks listed on the EGX from January 2014 to December 2018. Our findings do not support Fama and French three-factor model, where the coefficient of the beta was insignificant. The “SBM” coefficient and the “HML” coefficient were equal to zero and insignificant, which confirms the absence of the small firm effect and book-to-market ratio effect in the market. We conclude that there is no relation between expected return and Fama-French risk factors.


2010 ◽  
Vol 45 (3) ◽  
pp. 707-737 ◽  
Author(s):  
Zhongzhi (Lawrence) He ◽  
Sahn-Wook Huh ◽  
Bong-Soo Lee

AbstractThis study develops an econometric model that incorporates features of price dynamics across assets as well as through time. With the dynamic factors extracted via the Kalman filter, we formulate an asset pricing model, termed the dynamic factor pricing model (DFPM). We then conduct asset pricing tests in the in-sample and out-of-sample contexts. Our analyses show that the ex ante factors are a key component in asset pricing and forecasting. By using the ex ante factors, the DFPM improves upon the explanatory and predictive power of other competing models, including unconditional and conditional versions of the Fama and French (1993) 3-factor model. In particular, the DFPM can explain and better forecast the momentum portfolio returns, which are mostly missed by alternative models.


2016 ◽  
Vol 8 (7) ◽  
pp. 322
Author(s):  
Wissem Daadaa

This paper tests the market reaction and the stock price change around rating announcements in Tunisian stock exchange using the event study methodology. We examine the impact of the change rating announcement on stock return firms from 2006 to 2010. The results show that only the negative rating with downgrades note which is associated to negative abnormal return. The market does not seem to be interested upgrades rating on the Tunisian market. The negative reaction of the market can be explained by leverage change, Book to Market ratio and the level of the rating fall.


2020 ◽  
Vol 11 (2) ◽  
pp. 19-37
Author(s):  
Mustafa Hussein Abd-Alla ◽  
Mahmoud Sobh

We test the impact of herding behaviour on the risk pricing in the Egyptian Stock Exchange (EGX) by adding an additional risk factor reflecting herding behaviour to the Fama and French three-factor model. We construct a portfolio to mimic an additional risk factor related to herding behaviour, in addition to the original risk factors in the Fama and French three-factor model. The three-factor model will be tested in its original form and re-tested after adding the herding behaviour factor. The study is based on Hwang and Salmon methodology, in which the state space approach based on Kaman’s filter was used to measure herding behaviour. We used monthly excess stock returns of 50 stocks listed on the EGX from January 2014 to December 2018. The results do not support Fama and French model before and after adding the herding behaviour factor, therefore, there is no effect of herding behaviour on the risk pricing in the Egyptian Stock Exchange.


2021 ◽  
Vol 27 (2) ◽  
pp. 193-202
Author(s):  
C.P. Ogbogbo ◽  
N. Anokye-Turkson

This study on the Ghana Stock Exchange (GSE), investigated, if the overall size of the market, affects the fundamentals of the Fama French 3-Factor model, and to ascertain if the Fama French model can be used effectively to assess portfolio and assets return for companies listed on the Ghana Stock Exchange. In this paper, portfolios of assets of companies on the Ghana Stock Exchange are constructed and analyzed using the Fama-French 3-factor model. The empirical data which consists of assets of 15 companies listed on the GSE, including assets of both financial and non-financial companies for good representation of the Ghana Stock Exchange. We found that the basic principle of the model is not satisfied. This is attributed to a number of factors which include overall size of the market, volume of trade, and high leverage (more debt than equity) associated with financial firms. High debt/equity ratio is linked to high risk. Keywords: Market Capitalization, Book-to-market ratio, Portfolio, Small minus big, High minus low


2021 ◽  
Vol 9 (1) ◽  
pp. 311
Author(s):  
Laila Marta Zarika ◽  
R.A. Sista Paramita

In May and Go Away (SMGA), Sell is a type of seasonal Anomaly, which historically originated in Europe and America that between May-October returns lower than the other periods from November to April. This research aims to determine the difference in abnormal return in the May-October (Worst period) period and November-April (Best period) in Indonesia and Malaysia Stock Exchange between 2017 to 2019. This test conducted using the company's stock price data samples listed on the LQ45 index in the Indonesia Stock Exchange and the FBMKLCI index in the Malaysia Stock Exchange period 2017 to 2019. Hypothesis testing using paired sample t-test to answer if there is a difference in return between the best period and the worst period, to prove the Sell's existence in May and Go Away. The results showed no difference returns between the best and worst periods in the Sell in May and Go Away phenomenon at the Indonesia and Malaysia Stock Exchange period 2017 to 2019. The Investor considers SMGA as not a phenomenon containing excellent or bad information that is capable of affecting the price movement of shares so that SMGA as a strategy to buy stocks in the best period and sell in the worst period is no longer relevant


2019 ◽  
Vol 15 (2) ◽  
pp. 211
Author(s):  
Lestari Lestari ◽  
Atty Erdiana

This study has the right to select securities that have a high risk of being included in the portfolio structure. High-security securities will offer a high rate of return. Portfolios by choosing high-risk securities that are advantageously seen from the investor's perspective.The object of this study is the Indonesian Stock Exchange. The data needed are price data for the Composite Stock Price Index (CSPI) from 2014 to 2017. The analysis of the technique used is beta estimation as a measure of risk with the historical beta method. While the analysis to test the difference in stock returns with historical beta and accounting accounts using the Paired Sample T statistical test. The results are that there are no differences in stock returns with historical beta and accounting beta from companies that go public on the Indonesia Stock Exchange (IDX).


2019 ◽  
Vol IV (I) ◽  
pp. 30-38
Author(s):  
Maria Sultana ◽  
Muhammad Imran ◽  
Muhammad Amjad Saleem

The fundamental structure of the present theory of asset pricing underscored clarifying the path as to how the systematic risk is estimated and how investors are adapted to behavior for such risk. The mixed expense of debt and equity that an association should procure to raise funds for its assignments impacts its stock returns through investment choices and is an additional significant segment of business valuation work on the grounds that for putting resources into more risky resources, investors request better yields or higher returns, for legitimizing better yields this risk premium emerging from such risks is included in the returns. Hence, in clarifying portfolio returns, the three-factor model is increased with WACC to analyze its logical force that if WACC is estimated by the market or not through multivariate regressions. Two principle results are deduced by the examination; first; the findings attest to the presence of market premium, size impact, value impact, WACC premium in the equity market of Pakistan. Second, however generally exciting with exceptional interest, when contrasted with FF unique 3-factor model, the models which join WACC outperformed, which also affirmed from Adj.R2 results.


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