Trading stocks following sharp movements in the USDX, GBP/USD, and USD/CNY

Yensen Ni, Min-Yuh Day and Paoyu Huang ()
Additional contact information
Yensen Ni: Tamkang University
Min-Yuh Day: Graduate Institute of Information Management, National Taipei University
Paoyu Huang: Soochow University

Financial Innovation, 2020, vol. 6, issue 1, 1-17

Abstract: Abstract We hypothesized that sharp movement in the USDX, GBP/USD, and USD/CNY might result in stock market fluctuations owing to heightened investors’ sentiments. The subsequent performance of trading stocks right after such sharp movements in exchange rates is seldom explored in existing studies. We examined the historical data of the constituent stocks of the DJ 30, FTSE 100, and SSE 50 indexes and found that the share prices were more volatile after sharp movements in the CNY, even though the currency is less volatile because of China’s exchange rate policy. However, for the USD and GBP, share prices of the DJ 30 and FTSE 100, respectively, rose after sharp appreciation and depreciation of the currencies.

Keywords: Investing strategies; Exchange rates; Investors’ sentiments (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed

Downloads: (external link)
http://link.springer.com/10.1186/s40854-020-00190-5 Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:fininn:v:6:y:2020:i:1:d:10.1186_s40854-020-00190-5

Ordering information: This journal article can be ordered from
http://www.springer. ... nomics/journal/40589

DOI: 10.1186/s40854-020-00190-5

Access Statistics for this article

Financial Innovation is currently edited by J. Leon Zhao and Zongyi

More articles in Financial Innovation from Springer, Southwestern University of Finance and Economics
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().