Return predictability between industries and the stock market in China

2021 ◽  
Author(s):  
Yanying Zhang ◽  
Yiuman Tse ◽  
Gaiyan Zhang
Keyword(s):  
Stock Market ◽  
Return Predictability

scholarly journals Disposition Effect and Return Predictability in the Tunisian Stock Market

2017 ◽  
Vol 4 (1) ◽  
pp. 1
Author(s):  
Cheïma Hmida ◽  
Ramzi Boussaidi
Keyword(s):  
Stock Market ◽  
Behavioral Finance ◽  
Stock Prices ◽  
Stock Price ◽  
Return Predictability ◽  
Capital Gains ◽  
Disposition Effect ◽  
Individual Investors ◽  
Long Run ◽  
Return Reversal

The behavioral finance literature has documented that individual investors tend to sell winning stocks more quickly than losing stocks, a phenomenon known as the disposition effect, and that such a behavior has an impact on stock prices. We examined this effect in the Tunisian stock market using the unrealized capital gains/losses of Grinblatt & Han (2005) to measure the disposition effect. We find that the Tunisian investors exhibit a disposition effect in the long-run horizon but not in the short and the intermediate horizons. Moreover, the disposition effect predicts a stock price continuation (momentum) for the whole sample. However this impact varies from an industry to another. It predicts a momentum for “manufacturing” but a return reversal for “financial” and “services”.

Macroeconomic Tail Risks and Asset Prices

2019 ◽  
Vol 33 (8) ◽  
pp. 3541-3582 ◽  
Author(s):  
David Schreindorfer
Keyword(s):  
Stock Market ◽  
Asset Prices ◽  
Equity Premium ◽  
Return Predictability ◽  
Risk Premiums ◽  
Asset Pricing Model ◽  
Oxford University ◽  
Excess Volatility ◽  
Equity Index ◽  
Published Paper

Abstract I document that dividend growth and returns on the aggregate U.S. stock market are more correlated with consumption growth in bad economic times. In a consumption-based asset pricing model with a generalized disappointment-averse investor and small, IID consumption shocks, this feature results in a realistic equity premium despite low risk aversion. The model is consistent with the main facts about stock market risk premiums inferred from equity index options, remains tightly parameterized, and allows for analytical solutions for asset prices. An extension with non-IID dynamics accounts for excess volatility and return predictability, while preserving the model’s consistency with option moments. Authors have furnished an Internet Appendix, which is available on the Oxford University Press Web site next to the link to the final published paper online.

scholarly journals Previsibilidade de Retorno das Ações na Bovespa: Um Teste Envolvendo o Modelo de Fator de Retorno Esperado

2004 ◽  
Vol 2 (2) ◽  
pp. 183
Author(s):  
Luciano Martin Rostagno ◽  
Gilberto De Oliveira Kloeckner ◽  
João Luiz Becker
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Trading Volume ◽  
Factor Model ◽  
Explanatory Power ◽  
Return Predictability ◽  
Expected Return ◽  
Cross Sectional ◽  
Theoretical Assumptions ◽  
History Of

This paper examines the hypothesis of asst return predictability in the Brazilian Stock Market (Bovespa). Evidence suggests that seven factors explain most of the monthly differential returns of the stocks included in the sample. Within the factors that present statistically significant mean, two are liquidity factors (market capitalization and trading volume trend), three refer to price level of stocks (dividend to price, dividend to price trend, and cash flow to price), and two relate to price history of stocks (3 and 12 months excess return). Contradicting theoretical assumptions, risk factors present no explanatory power on cross-sectional returns. Using an expected return factor model, it is contended that stock returns are quite predictable. An investment simulation shows that the model is able to assemble portfolios with statistically significant higher returns. Additional tests indicate that the winner portfolios are not fundamentally riskier suggesting mispricing of assets in the Brazilian stock Market.

Return Predictability and Market Efficiency: Evidence from the Bulgarian Stock Market

2018 ◽  
Vol 57 (3) ◽  
pp. 251-268 ◽  
Author(s):  
Massoud Metghalchi ◽  
Massomeh Hajilee ◽  
Linda A. Hayes
Keyword(s):  
Stock Market ◽  
Market Efficiency ◽  
Return Predictability
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