Skip to content
Research Article Open access CC BY 4.0

Calendar Anomalies and Volatility in the Indian Equity Market: Insight from 2008 Financial Crisis and COVID-19 Pandemic

Dinesh K, Janet Jyothi D'souza

Asian Journal of Economics, Business and Accounting · pp. 407–419 · Published 19 Dec 2024

10.9734/ajeba/2024/v24i121617

Abstract

This study explores the presence of calendar anomalies in the Indian equity market during two economic shocks: the 2008 Global Financial Crisis and the COVID-19 pandemic. This study employed Generalized Autoregressive Conditional Heteroscedasticity (GARCH) and Threshold GARCH models to analyze the impact of economic downturns on volatility in a sample of Indian Stock Indices. This research identifies notable patterns, including the Wednesday effect during the financial crisis and the Monday and Tuesday effects during the global pandemic. By addressing a crucial gap in the literature, this study offers a comparative analysis of these crises and elucidates market volatility and investor behaviour in emerging markets. This study illuminates the critical role of investor confidence in mitigating financial instability and emphasizes the necessity for efficacious policy interventions to address economic disruptions, enhance financial resilience, and avert future crises, particularly during endogenous economic downturns such as financial recessions. This study elucidates the multifaceted effects of crises on financial markets and the broader economy, revealing intricate mechanisms that influence market dynamics during periods of economic turbulence.

Calendar anomaly financial crisis COVID-19 pandemic EGARCH model BSE Sensex

Cited by 0

No indexed citations yet.

Article metrics

Real usage data collected on this platform.

5

Page views

0

PDF downloads

0

Outbound clicks

0

Citations

Views over time

Views by country

Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".

Traffic sources

Referring site, by host.

Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.