Cross-sectional stock return predictability in China

2015 ◽  
Vol 23 (7-9) ◽  
pp. 581-605 ◽  
Author(s):  
Nusret Cakici ◽  
Kalok Chan ◽  
Kudret Topyan
2013 ◽  
Vol 48 (5) ◽  
pp. 1519-1544 ◽  
Author(s):  
George J. Jiang ◽  
Tong Yao

AbstractWe identify large discontinuous changes, known as jumps, in daily stock prices and explore the role of jumps in cross-sectional stock return predictability. Our results show that small and illiquid stocks have higher jump returns to the extent that cross-sectional differences in jumps fully account for the size and illiquidity effects. Based on value-weighted portfolios, jumps also account for the value premium. On the other hand, jumps are not the cause of momentum or net share issue effects. The findings of our study shed new light on stock return dynamics and present challenges to conventional explanations of stock return predictability.


Author(s):  
Söhnke M. Bartram ◽  
Harald Lohre ◽  
Peter F. Pope ◽  
Ananthalakshmi Ranganathan

AbstractThe literature on cross-sectional stock return predictability has documented over 450 factors. We take the perspective of an institutional investor and navigate this zoo of factors by focusing on the evidence relevant to the practicalities of factor-based investment strategies. Establishing a sound theoretical rationale is key to identifying “true” factors, and we emphasize the need to recognize data-mining concerns that may cast doubt on the relevance of many factors. From a practical investment perspective, much of the factor evidence documented by academics may be more apparent than real. The performance of many factors is dependent on the inclusion of small- and micro-cap stocks in academic studies, although such stocks would likely be excluded from the real investment universe due to illiquidity and transaction costs. Nevertheless, a parsimonious set of factors emerges in equities and other asset classes, including currencies, fixed income, and commodities. These factors can serve as meaningful ingredients to factor-based portfolio construction.


2015 ◽  
Vol 23 (1) ◽  
pp. 29-40 ◽  
Author(s):  
Soo-Hyun Kim

This paper investigates the relationship between output to input efficiency and stock return predictability in the Korean stock market. We measure the efficiency using Data Envelopment Analysis with independent outputs of sales and market value data. Sales efficiency measures the operational efficiency whereas market value efficiency measures the efficiency evaluated by the investors. Through our empirical analysis, it is found that low efficiency stocks in either measures tend to have higher future returns. However, if both efficiency measures are employed at the same time there exists a strong tendency that high operation efficient and low market value efficient stocks generate larger future returns. We find that DEA analysis for efficiency can process a cross-sectional stock return predictability in the Korean stock market.


2015 ◽  
Author(s):  
Nikos C. Papapostolou ◽  
Panos K. Pouliasis ◽  
Nikos K. Nomikos ◽  
Ioannis Kyriakou

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