How Predictable Is the Chinese Stock Market?
We analyze return predictability for the Chinese stock market, including the aggregate market portfolio and the components of the aggregate market, such as portfolios sorted on industry, size, book-to-market and ownership concentration. Considering a variety of economic variables as predictors, both...
Saved in:
Main Authors: | , , , |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2010
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/lkcsb_research/3192 https://ink.library.smu.edu.sg/context/lkcsb_research/article/4191/viewcontent/2009_Fuwei_Jiang_Chinese_stock_market_predictable_wp.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
id |
sg-smu-ink.lkcsb_research-4191 |
---|---|
record_format |
dspace |
spelling |
sg-smu-ink.lkcsb_research-41912018-02-26T07:35:35Z How Predictable Is the Chinese Stock Market? JIANG, Fuwei RAPACH, David E. STRAUSS, Jack K. TU, Jun We analyze return predictability for the Chinese stock market, including the aggregate market portfolio and the components of the aggregate market, such as portfolios sorted on industry, size, book-to-market and ownership concentration. Considering a variety of economic variables as predictors, both in-sample and out-of-sample tests highlight significant predictability in the aggregate market portfolio of the Chinese stock market and substantial differences in return predictability across components. Among industry portfolios, Finance and insurance, Real estate, and Service exhibit the most predictability, while portfolios of small-cap and low ownership concentration firms also display considerable predictability. Two key findings provide economic explanations for component predictability: (i) based on a novel out-of-sample decomposition, time-varying macroeconomic risk premiums captured by the conditional CAPM model largely account for component predictability; (ii) industry concentration and market capitalization significantly explain differences in return predictability across industries, consistent with the information-flow frictions emphasized by Hong, Torous, and Valkanov (2007). 2010-07-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/lkcsb_research/3192 https://ink.library.smu.edu.sg/context/lkcsb_research/article/4191/viewcontent/2009_Fuwei_Jiang_Chinese_stock_market_predictable_wp.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection Lee Kong Chian School Of Business eng Institutional Knowledge at Singapore Management University Return predictability Industries Size Book-to-market Rational asset pricing Information-flow frictions Asian Studies Finance and Financial Management Portfolio and Security Analysis |
institution |
Singapore Management University |
building |
SMU Libraries |
continent |
Asia |
country |
Singapore Singapore |
content_provider |
SMU Libraries |
collection |
InK@SMU |
language |
English |
topic |
Return predictability Industries Size Book-to-market Rational asset pricing Information-flow frictions Asian Studies Finance and Financial Management Portfolio and Security Analysis |
spellingShingle |
Return predictability Industries Size Book-to-market Rational asset pricing Information-flow frictions Asian Studies Finance and Financial Management Portfolio and Security Analysis JIANG, Fuwei RAPACH, David E. STRAUSS, Jack K. TU, Jun How Predictable Is the Chinese Stock Market? |
description |
We analyze return predictability for the Chinese stock market, including the aggregate market portfolio and the components of the aggregate market, such as portfolios sorted on industry, size, book-to-market and ownership concentration. Considering a variety of economic variables as predictors, both in-sample and out-of-sample tests highlight significant predictability in the aggregate market portfolio of the Chinese stock market and substantial differences in return predictability across components. Among industry portfolios, Finance and insurance, Real estate, and Service exhibit the most predictability, while portfolios of small-cap and low ownership concentration firms also display considerable predictability. Two key findings provide economic explanations for component predictability: (i) based on a novel out-of-sample decomposition, time-varying macroeconomic risk premiums captured by the conditional CAPM model largely account for component predictability; (ii) industry concentration and market capitalization significantly explain differences in return predictability across industries, consistent with the information-flow frictions emphasized by Hong, Torous, and Valkanov (2007). |
format |
text |
author |
JIANG, Fuwei RAPACH, David E. STRAUSS, Jack K. TU, Jun |
author_facet |
JIANG, Fuwei RAPACH, David E. STRAUSS, Jack K. TU, Jun |
author_sort |
JIANG, Fuwei |
title |
How Predictable Is the Chinese Stock Market? |
title_short |
How Predictable Is the Chinese Stock Market? |
title_full |
How Predictable Is the Chinese Stock Market? |
title_fullStr |
How Predictable Is the Chinese Stock Market? |
title_full_unstemmed |
How Predictable Is the Chinese Stock Market? |
title_sort |
how predictable is the chinese stock market? |
publisher |
Institutional Knowledge at Singapore Management University |
publishDate |
2010 |
url |
https://ink.library.smu.edu.sg/lkcsb_research/3192 https://ink.library.smu.edu.sg/context/lkcsb_research/article/4191/viewcontent/2009_Fuwei_Jiang_Chinese_stock_market_predictable_wp.pdf |
_version_ |
1770571143237861376 |