INFORMATIONAL EFFICIENCY OF THE US MARKETS FOR IMPLIED VOLATILITY BEFORE AND AFTER THE COVID-19 PANDEMIC

Autor: Panos Fousekis
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Applied Finance Letters, Vol 11 (2022)
Druh dokumentu: article
ISSN: 2253-5799
2253-5802
76309525
DOI: 10.24135/afl.v11i.544
Popis: The objective of this work is to assess informational efficiency in four US markets for implied volatility. This has been pursued using daily data over 2015 to 2021 and a composite index that accounts for three possible sources of inefficiency associated with long-range dependence, short-range dependence, and entropy. The dominant pattern of long-range dependence has been that of anti-persistence both before and during the pandemic. The same applies for short-range dependence, especially before the pandemic. The presence of anti-persistence is an indication of investors’ over-reaction to incoming information and implies that oscillatory trading strategies have been probably more successful that trend-following ones. During the Covid-19 pandemic, the entropy decreased in all cases suggesting that the four implied volatility series became more predictable; the intensity, however, of long-range and short-range dependence remained largely unaffected. As a result of these developments, the informational efficiency in at least two markets (those related to stock and to crude oil) fell.
Databáze: Directory of Open Access Journals