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Chinese Stock Market Return Predictability: Adaptive Complete Subset Regressions
Keqi Chen,Rui Chen,Xueyong Zhang,Min Zhu 한국증권학회 2016 Asia-Pacific Journal of Financial Studies Vol.45 No.5
This paper proposes a new combination framework to explore the Chinese stock market return predictability. While most well-known predictor variables and simple combinations fail to beat the historical average benchmark, our adaptive complete subset regressions deliver statistically and economically significant out-of-sample performance. The subset, in which each regression includes five predictors, produces a significant R2 OS statistic of 8.00% for January 2006 to September 2014. A mean-variance investor who uses the adaptive subset regressions forecasts, instead of the historical average forecasts, can obtain sizable utility gains of 7.60% per annum. The results of our paper suggest that there is significant predictability in the Chinese aggregate stock market portfolio.
ZntR positively regulates T6SS4 expression in Yersinia pseudotuberculosis
Tietao Wang,Keqi Chen,Fen Gao,Yiwen Kang,Muhammad Tausif Chaudhry,Zhuo Wang,Yao Wang,Xihui Shen 한국미생물학회 2017 The journal of microbiology Vol.55 No.6
The type VI secretion system (T6SS) is a widespread and versatile protein secretion system found in most Gram- negative bacteria. Studies of T6SS have mainly focused on its role in virulence toward host cells and inter-bacterial inter-actions, but studies have also shown that T6SS4 in Yersinia pseudotuberculosis participates in the acquisition of zinc ions to alleviate the accumulation of hydroxyl radicals induced by multiple stressors. Here, by comparing the gene expression patterns of wild-type and zntR mutant Y. pseudotubercu-losis cells using RNA-seq analysis, T6SS4 and 17 other bio-logical processes were found to be regulated by ZntR. T6SS4 was positively regulated by ZntR in Y. pseudotuberculosis, and further investigation demonstrated that ZntR regulates T6SS4 by directly binding to its promoter region. T6SS4 ex-pression is regulated by zinc via ZntR, which maintains in-tracellular zinc homeostasis and controls the concentration of reactive oxygen species to prevent bacterial death under oxidative stress. This study provides new insights into the regulation of T6SS4 by a zinc-dependent transcriptional regu-lator, and it provides a foundation for further investigation of the mechanism of zinc transport by T6SS.