The Dynamic Relationship between Stock Market and Macroeconomy at Sectoral Level: Evidence from Chinese and US Stock Market

被引:15
作者
Jin, Zhenni [1 ,2 ,3 ]
Guo, Kun [2 ,3 ,4 ]
机构
[1] Univ Chinese Acad Sci, Sino Danish Coll, Beijing 100049, Peoples R China
[2] Chinese Acad Sci, Key Lab Big Data Min & Knowledge Management, Beijing 100190, Peoples R China
[3] Chinese Acad Sci, Res Ctr Fictitious Econ & Data Sci, Beijing 100190, Peoples R China
[4] Univ Chinese Acad Sci, Sch Econ & Management, Beijing 100190, Peoples R China
基金
中国国家自然科学基金;
关键词
LEAD-LAG RELATIONSHIP; THERMAL OPTIMAL PATH; INVESTOR SENTIMENT; GRANGER-CAUSALITY; TIME-SERIES; RETURNS; VOLATILITY; IMPACT; COINTEGRATION; DETERMINANTS;
D O I
10.1155/2021/6645570
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
As a most important component of capital market, stock market has always been regarded as the "barometer" of macroeconomy. However, many researchers have found that the stock market is not always in the lead, especially for the emerging markets, and the leading role of different sector indices is also different for the corresponding sectors. From the perspective of a comparison between mature market and emerging market at sectoral level, this paper utilizes the thermal optimal method to examine the dynamic lead-lag relationships between stock sector indices and macroeconomic variables for the USA and China. The results show that, for the US stock market, three sector indices including consumption, industry, and real estate have been leading the corresponding macroeconomic variables since 2013; for the Chinese stock market, the lead-lag relationships are different for these sectors. The real estate sector index and the industry sector index have been leading the corresponding macroeconomic variables since 2010, and the lead-lag relationship between the consumption sector index and the total retail sales is not always positive or negative, which means that the consumption sector index does not always lead the total retail sales. The empirical results confirm that the "barometer function" of immature stock market is still weak and easier to be disabled by factors such as irrational market sentiment.
引用
收藏
页数:16
相关论文
共 71 条
[1]   The return and volatility nexus among stock market and macroeconomic fundamentals for China [J].
Abbas, Ghulam ;
Bashir, Usman ;
Wang, Shouyang ;
Zebende, Gilney Figueira ;
Ishfaq, Muhammad .
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2019, 526
[2]  
Abugri B.A., 2008, Int Rev Fin Anal, V17, P396, DOI [10.1016/j.irfa.2006.09.002, DOI 10.1016/J.IRFA.2006.09.002]
[3]  
Amtiran P.Y., 2017, INT J ECON MANAG, V11, P206
[4]  
[Anonymous], 1993, Bootstrapping: A Nonparametric Approach to Statistical Inference
[5]  
Arango L.E., 2002, Appl. Financ. Econ, V12, P835
[6]   STOCK MARKETS AND DEVELOPMENT [J].
ATJE, R ;
JOVANOVIC, B .
EUROPEAN ECONOMIC REVIEW, 1993, 37 (2-3) :632-640
[7]  
Atmadja AS., 2005, J MANAJEMEN KEWIRAUS, V7, P1
[8]  
Auzairy N A., 2011, International Journal of Trade, Economics and Finance, V2, P495, DOI [10.7763/ijtef.2011.v2.155, DOI 10.7763/IJTEF.2011.V2.155]
[9]  
Aylward Anthony., 2000, Applied Financial Economics, V10, P1, DOI DOI 10.1080/096031000331879
[10]   Macroeconomic factors and the empirical content of the Arbitrage Pricing Theory in the Japanese stock market [J].
Azeez, A. A. ;
Yonezawa, Yasuhiro .
JAPAN AND THE WORLD ECONOMY, 2006, 18 (04) :568-591