The Cross-Section of the Stock Returns for Korea Stock Market: The Most Suitable Risk Factors

2017 ◽  
Vol 19 (4) ◽  
pp. 1917-1928
Author(s):  
Daesung Jung ◽  
Taehyuk Kim
2016 ◽  
Vol 14 (2) ◽  
pp. 151
Author(s):  
Gyorgy Varga ◽  
Ricardo Dias de Oliveira Brito

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.


2015 ◽  
Vol 44 ◽  
pp. 59-67 ◽  
Author(s):  
Yifeng Wang ◽  
Cheyuan Liu ◽  
Jen-Sin Lee ◽  
Yanming Wang

PLoS ONE ◽  
2017 ◽  
Vol 12 (8) ◽  
pp. e0181990 ◽  
Author(s):  
Youcong Chao ◽  
Xiaoqun Liu ◽  
Shijun Guo

2019 ◽  
Vol 0 (0) ◽  
Author(s):  
Tarik Bazgour ◽  
Cedric Heuchenne ◽  
Georges Hübner ◽  
Danielle Sougné

Abstract This paper shows how stock market volatility regimes affect the cross-section of stock returns along quality and liquidity dimensions. We find that, during crisis periods, low quality and low liquidity stocks experience relatively higher losses than predicted in normal times, while high quality and high liquidity stocks experience rather relatively lower losses. These findings lend strong support to the presence of cross-market and within-market flight-to-quality and to-liquidity episodes during crisis periods. During low volatility periods, however, low quality and low liquidity stocks earn relatively larger returns, while high quality and high liquidity stocks yield lower returns; suggesting that low volatility conditions benefit junk and illiquid stocks but not quality and liquid stocks. Finally, our results reveal that liquidity level dominates liquidity beta in explaining stock returns across the different market volatility regimes.


2014 ◽  
Vol 34 ◽  
pp. 114-123 ◽  
Author(s):  
Qing Ye ◽  
John D. Turner

Author(s):  
Nikolay Doskov ◽  
Tapio Pekkala ◽  
Ruy Ribeiro

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