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Discovering the drivers of stock market volatility in a data-rich world
- Chun, Dohyun;
- Cho, Hoon;
- Ryu, Doojin
Citations
WEB OF SCIENCE
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19초록
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
- 발행일
- 2023-01
- 유형
- Article
- 권
- 82
- 언어
- ENG
- 출판사
- ELSEVIER
- 발행국가
- 네덜란드
- ISSN
- E 1873-0612
P 1042-4431