Do short‐term institutions exploit stock return anomalies?

2021 ◽  
Author(s):  
Yinfei Chen ◽  
Wei Huang ◽  
George J. Jiang
Keyword(s):  
Stock Return ◽  
Short Term ◽  
Stock Return Anomalies

Short-Term Trading and Stock Return Anomalies: Momentum, Reversal, and Share Issuance*

2014 ◽  
Vol 19 (4) ◽  
pp. 1649-1701 ◽  
Author(s):  
Martijn Cremers ◽  
Ankur Pareek
Keyword(s):  
Stock Return ◽  
Short Term ◽  
Stock Return Anomalies

scholarly journals Factors Affecting the Earning Response Coefficient with Real Activities Earning Management as Moderator: Evidence from Indonesia Stock Exchange

2019 ◽  
pp. 1-14 ◽  
Author(s):  
Aminullah Assagaf ◽  
Etty Murwaningsari ◽  
Juniati Gunawan ◽  
Sekar Mayangsari
Keyword(s):  
Stock Return ◽  
Sampling Method ◽  
Capital Expenditure ◽  
Stock Exchange ◽  
Financial Statements ◽  
Short Term ◽  
Factors Affecting ◽  
Earnings Per Share ◽  
Negative Effect ◽  
Positive Effect

This study aims to explain the phenomenon of the most active companies traded shares in Indonesian stock exchange. This research is motivated to analyze the response of investors to take a decision after presenting the company's financial statements. This study uses panel data consisting of 20 companies selected by purposive sampling method, using a regression model and data processing via SPSS 24. The results of this study found that the variable leverage and capital expenditure variables significantly influence the response of investors to execute the company's stock, thereby affecting the stock return. The level of leverage and significant positive effect on the response of investors, particularly due to the use of debt to investment would increase earnings per share or at a certain amount of equity can boost earnings per share acquisition. Capital expenditure and significant negative effect on the response of investors for investor tend to speculate on short-term period, which means that companies that invest in the early stages will have difficulties liquidity and rate of return will decline, so investors will shift their investment.

ANALISIS PENGARUH NILAI SAHAM YANG BEREDAR, STRUKTUR MODAL, RISIKO PASAR, DAN SUKU BUNGA TERHAD AP RETITRN SAHAM DI BEJ DENGAN PENDEKATAN MODEL DINAMIS (Studi Kasus Pada Sektor Aneka lndustri Tahun 1996-2002)

2005 ◽  
Vol 1 (1) ◽  
pp. 20
Author(s):  
Ari Christianti ◽  
Murti Lestari
Keyword(s):  
Capital Structure ◽  
Dynamic Model ◽  
Stock Return ◽  
Negative Impact ◽  
Short Term ◽  
Correction Model ◽  
Industry Sector ◽  
The Interest Rate ◽  
Model Approach

The study aims at empirically proving and analyzing the balance model of Capital Asset Pricing Model (CAPM with the multifactor of risks, consisting of: outstanding stocks value, capital structure represented by Debt EquiQ Ratio (DER), market risk as represented by stock market beta, and the interest rate on company return on stock.This research uses a dynamic model approach considering the existence of the weaknessesin a classic linear model. Since the investment is related to investors behavior that need a lag to market change, the use of the dynamic model approach will be better. It is because the dynamic model uses autoregressive approach containing the lag. The dynamic model used here is Partial Adjustment Model (PAM) and Error Correction Model (ECM).  Based on the estimation of the PAM model it is proven that the model is inefficient in finding the evidence confirming the hypothesis. Subsequently,based on the result of the examination of the ECM model it isconcluded that outstanding stocks value has a positive and signiJicant impact in short term and a negative impact in long term. It means that in the short term outstanding stocks value serves as the consideration for investors in making an investment. However in the long term they are likely to believe that the use of smaller internal capital proportion will be more beneficial for them. The capital structure has only a longierm impact on the return on stock. It means that the impact of DER on stock return on miscellaneous industry sector needs the quite long lag to influence the investors in determining stocks return. It indicates that in the long term they believ:e that the use of increasing number of loan will causes the decrease in company liquidity. Consequently, the opportunity for the company to go bankrupt is bigger Beta stock in the study has a negative impact in the long term. Theoretically, it is not consistent with the parameter direction and indicated that beta stock does notserve as an app;r,pviate prory in measuring the rislcs on. miscellaneous industry sector The interest rate has in the long term a negative impact on stocks return and needs the long lag to influence the investors in determining the return on stocks.Keywords: Stock return, outstanding stock value, DER (Debt Equity Ratio), beta, interest rote, ECM (Eruor Correction Model)

Selection bias and pseudo discoveries on the constancy of stock return anomalies

2020 ◽  
Vol 55 (4) ◽  
pp. 1407-1426
Author(s):  
Russell P. Robins ◽  
Geoffrey Peter Smith
Keyword(s):  
Selection Bias ◽  
Stock Return ◽  
Stock Return Anomalies

Institutional investors and stock return anomalies

2016 ◽  
Vol 119 (3) ◽  
pp. 472-488 ◽  
Author(s):  
Roger M. Edelen ◽  
Ozgur S. Ince ◽  
Gregory B. Kadlec
Keyword(s):  
Institutional Investors ◽  
Stock Return ◽  
Stock Return Anomalies

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.

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