COVID-19 Containment Measures and Expected Stock Volatility : High-Frequency Evidence from Selected Advanced Economies /

We study the effect of COVID-19 containment measures on expected stock price volatility in some advanced economies, using event studies with hand-collected minute-level data and panel regressions with daily data. We find that six-month-ahead volatility indices dropped following announcements of init...

Ful tanımlama

Detaylı Bibliyografya
Yazar: Acharya, Viral
Diğer Yazarlar: Liu, Yang, Zhao, Yunhui
Materyal Türü: Dergi
Dil:English
Baskı/Yayın Bilgisi: Washington, D.C. : International Monetary Fund, 2021.
Seri Bilgileri:IMF Working Papers; Working Paper ; No. 2021/157
Konular:
Online Erişim:Full text available on IMF
Diğer Bilgiler
Özet:We study the effect of COVID-19 containment measures on expected stock price volatility in some advanced economies, using event studies with hand-collected minute-level data and panel regressions with daily data. We find that six-month-ahead volatility indices dropped following announcements of initial or re-imposed lockdowns, and that they did not drop significantly following the easing of lockdowns. Such patterns are not as strong for three-month-ahead expected volatility and generally absent for one-month-ahead expected volatility. These results provide suggestive evidence for the existence of an intertemporal trade-off: although stringent containment measures cause short-term economic disruptions, they may reduce medium-term uncertainty (reflected in expected stock volatility) by boosting markets' confidence that the outbreak would be under control more quickly.
Diğer Bilgileri:<strong>Off-Campus Access:</strong> No User ID or Password Required
<strong>On-Campus Access:</strong> No User ID or Password Required
Fiziksel Özellikler:1 online resource (43 pages)
Materyal Türü:Mode of access: Internet
ISSN:1018-5941
Erişim:Electronic access restricted to authorized BRAC University faculty, staff and students