Two-Side Cvars and the Cross-Sectional Expected Stock Returns: Evidences from Chinese Stock Market

2019 ◽  
Author(s):  
Aifan Ling ◽  
Zizi Cao
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Chinese Stock Market ◽  
Cross Sectional ◽  
Expected Stock Returns ◽  
The Cross

scholarly journals VAR AND THE CROSS-SECTION OF EXPECTED STOCK RETURNS: AN EMERGING MARKET EVIDENCE

2014 ◽  
Vol 15 (3) ◽  
pp. 441-459 ◽  
Author(s):  
Dar-Hsin Chen ◽  
Chun-Da Chen ◽  
Su-Chen Wu
Keyword(s):  
At Risk ◽  
Risk Factor ◽  
Stock Market ◽  
Stock Returns ◽  
Value At Risk ◽  
Emerging Market ◽  
Explanatory Power ◽  
Cross Sectional ◽  
Expected Stock Returns ◽  
The Cross

In this paper we investigate the explanatory power of the market beta, firm size, and the book-to-market ratio, as well as Value-at-Risk regarding the cross-sectional expected stock returns in a less developed stock market – Taiwan's stock market. The main purpose is to examine whether the Value-at-Risk factor has marginal explanatory power related to the Fama-French three-factor model. The empirical results show that Value-at-Risk can account for the average stock returns at both 1% and 5% significance levels based on cross-sectional regression analysis. Moreover, from the perspective of the time series regression, the Value-at-Risk factor can also demonstrate the variation of the stock market, especially for the larger companies in the Taiwan stock market.

scholarly journals The Cross-Section of Expected Stock Returns in Brazil

2016 ◽  
Vol 14 (2) ◽  
pp. 151
Author(s):  
Gyorgy Varga ◽  
Ricardo Dias de Oliveira Brito
Keyword(s):  
Risk Factors ◽  
Stock Market ◽  
Stock Returns ◽  
Cross Section ◽  
Explanatory Power ◽  
Positive Relation ◽  
Cross Sectional ◽  
Expected Stock Returns ◽  
The Cross

In a sample of the Brazilian stock market from 1999 to 2015, this paper shows that the book-to-market and momentum of individual firms capture some of the cross-sectional variation in average stock returns, while the market β and size do not play a role. The positive relation of cross-section of returns with book-to-market is more evident earlier, while the positive relation with momentum is stronger later in the sample. However, because none of these characteristics show explanatory power for all the subsamples studied, we are not fully convinced that they capture fundamental risk factors.

Can the Cross-Sectional Variation in Expected Stock Returns Explain Momentum?

2009 ◽  
Vol 44 (4) ◽  
pp. 777-794 ◽  
Author(s):  
George Bulkley ◽  
Vivekanand Nawosah
Keyword(s):  
Stock Returns ◽  
Expected Returns ◽  
Sample Period ◽  
Expected Return ◽  
Cross Sectional ◽  
Holding Period ◽  
Expected Stock Returns ◽  
The Cross

AbstractIt has been hypothesized that momentum might be rationally explained as a consequence of the cross-sectional variation of unconditional expected returns. Stocks with relatively high unconditional expected returns will on average outperform in both the portfolio formation period and in the subsequent holding period. We evaluate this explanation by first removing unconditional expected returns for each stock from raw returns and then testing for momentum in the resulting series. We measure the unconditional expected return on each stock as its mean return in the whole sample period. We find momentum effects vanish in demeaned returns.

Idiosyncratic Volatility and the Cross Section of Expected Returns

2008 ◽  
Vol 43 (1) ◽  
pp. 29-58 ◽  
Author(s):  
Turan G. Bali ◽  
Nusret Cakici
Keyword(s):  
Stock Returns ◽  
Cross Section ◽  
Idiosyncratic Volatility ◽  
Expected Returns ◽  
Cross Sectional ◽  
Monthly Data ◽  
Portfolio Returns ◽  
Expected Stock Returns ◽  
The Cross ◽  
Data Frequency

AbstractThis paper examines the cross-sectional relation between idiosyncratic volatility and expected stock returns. The results indicate that i) the data frequency used to estimate idiosyncratic volatility, ii) the weighting scheme used to compute average portfolio returns, iii) the breakpoints utilized to sort stocks into quintile portfolios, and iv) using a screen for size, price, and liquidity play critical roles in determining the existence and significance of a relation between idiosyncratic risk and the cross section of expected returns. Portfoliolevel analyses based on two different measures of idiosyncratic volatility (estimated using daily and monthly data), three weighting schemes (value-weighted, equal-weighted, inverse volatility-weighted), three breakpoints (CRSP, NYSE, equal market share), and two different samples (NYSE/AMEX/NASDAQ and NYSE) indicate that no robustly significant relation exists between idiosyncratic volatility and expected returns.

Predicting Equity Returns in Developed Markets

2021 ◽  
pp. 68-90
Author(s):  
A. Doruk Günaydin
Keyword(s):  
Stock Returns ◽  
Cross Section ◽  
Developed Countries ◽  
Equity Returns ◽  
Market Returns ◽  
Short Term ◽  
Firm Level ◽  
Cross Sectional ◽  
Expected Stock Returns ◽  
The Cross

This chapter examines the relation between various firm-specific variables and the cross-section of equity returns in 26 developed countries. Univariate portfolio analyses using equal-weighted returns show that low beta, book-to-market equity, and momentum analysis are also priced in the cross-section of developed market returns, whereas short-term reversal and downside beta manifest themselves in the opposite direction. Univariate portfolio analysis based on value-weighted returns reveal that the predictive power of book-to-market equity and short-term reversal is driven by small stocks. Multivariate firm-level cross-sectional regression analysis document that momentum, short-term reversal, illiquidity, idiosyncratic volatility, hybrid tail risk, lower partial moment are related to expected stock returns. Overall, the most robust cross-sectional predictor in developed market is found to be return momentum.

Investor recognition and stock returns: evidence from China

2018 ◽  
Vol 8 (2) ◽  
pp. 199-215 ◽  
Author(s):  
Hongquan Zhu ◽  
Lingling Jiang
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Capital Market ◽  
Univariate Analysis ◽  
Chinese Stock Market ◽  
Cross Sectional ◽  
Content Type ◽  
Listed Firms ◽  
Monthly Return ◽  
The Relationship

Purpose Merton’s model of capital market equilibrium under incomplete information predicts that contemporaneous stock returns are positively related to investor recognition and that future stock returns are negatively related to investor recognition. The purpose of this paper is to empirically investigate whether Merton’s theory holds true for the Chinese stock market. Design/methodology/approach This paper proposes the degree of shareholder base growth (SBG) as a proxy for investor recognition and examines the relationship between investor recognition and stock returns through a univariate analysis and Fama-Macbeth cross-sectional regressions based on A-Share listed firms. Findings The results show that investor recognition is nonlinearly and positively related to contemporaneous stock returns and is negatively related to future stock returns in contrast to the conclusions of Merton’s theory. A long-short trading strategy that involves buying stocks with the lowest SBG rate and that sells stocks with the highest SBG rate will earn an average monthly return of 3.615 percent. Research limitations/implications Though Merton’s theory is not fully reflected in the Chinese stock market, investor recognition is considered an important risk factor in the Chinese stock market. Originality/value No works have yet investigated the validity of Merton’s “investor cognition hypothesis” in relation to the Chinese stock market. This paper strives to fill this gap.

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