Decomposition of Book-to-Market and the Cross-Section of Returns for Chinese Shares

Nusret Cakici, Sris Chatterjee, K. Topyan
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引用次数: 9

Abstract

In this paper, we show that the book-to-market decomposition described in Fama–French (2008) significantly improves the predictive power of the estimation for an important emerging market, viz, Chinese shares. Second, we show that this improvement comes mainly from the change in book equity and not from the change in price. The predictive power of the change in book equity is most pronounced for large stocks, for stocks listed on Shenzhen Exchange, for stocks with low book-to-market (or growth stocks), and for Class B shares. Net Share Issue and Momentum add no explanatory power to the predictive regressions.
中国股票账面市值比分解与收益横截面分析
在本文中,我们表明Fama-French(2008)描述的账面市值比分解显著提高了对一个重要新兴市场(即中国股票)的预测能力。其次,我们表明这种改善主要来自账面权益的变化,而不是来自价格的变化。对于大盘股、深交所上市股票、低账面市值比股票(或成长型股票)和B类股票,账面权益变化的预测能力最为明显。净股票发行和动量对预测回归没有解释力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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