Discovering the drivers of stock market volatility in a data-rich world

Citations

WEB OF SCIENCE

18
Citations

SCOPUS

19

초록

This study comprehensively examines the economic and financial drivers of volatility changes in terms of a cross-country perspective. We review a wide range of studies related to financial volatility forecasting and collect a diverse set of prediction variables. By analyzing them within a unified framework, we find that only a small number of variables contain significant predictive information. Most of all, we discover that among various global market indicators, Chinese stock market movements significantly predict U.S. stock market volatility. Further analyses provide evidence of the effect of Chinese stock market movements on the U.S. stock market.

키워드

Asset allocation; Cross-market studies; Global financial markets; Heterogeneous autoregressive model; LASSO; Volatility forecasting; C53; C55; G17; INTRADAY IMPLIED VOLATILITY; BID-ASK SPREADS; INFORMATION-CONTENT; OVERNIGHT INFORMATION; INVESTOR ATTENTION; CROSS-SECTION; DISCRETE-TIME; FREQUENCY; RETURNS; RISK
제목
Discovering the drivers of stock market volatility in a data-rich world
저자
Chun, Dohyun; Cho, Hoon; Ryu, Doojin
DOI
10.1016/j.intfin.2022.101684
발행일
2023-01
유형
Article
저널명
Journal of International Financial Markets, Institutions and Money
권
82