Market persistence amidst financial crisis: an Indian investigation

This study examines persistence behavior of the Indian Stock Market during financial crises over the past decade (2012–2022). The investigation period encompasses significant events such as economic depression of 2013, demonetization and implementation of the Goods and Services Tax (2016–2017), the US-China Trade War (2018), and the COVID-19 pandemic (2021–2022). This study focuses on the dynamic persistence of various stocks by measuring the Hurst Exponent (HE) using the sliding window method and identifying herding patterns in the financial market. The technique is novel because it explains the time-varying degree of persistence during financial crises, anticipating future trends in the financial returns. The results classify stocks as either mean-reverting or trending. Moreover, the study also compares persistence for shorter and longer time windows, where the presence of higher persistence is observed as the window size is reduced. Furthermore, the majority of the stocks show high persistence in all crisis periods, with the highest value of HE during the economic downturn (2012–2014) and the post-COVID-19 era (2021–2022). Financial advisors can refer to HE values, assisting the investors with decisions such as ‘buy’, ‘sell’ or ‘hold’. Furthermore, a higher HE value can become an early warning signal for impending market stress in the form of bubbles or bursts.

Authors

Institutions

Publication Details

Journal
Cogent Economics & Finance
Published
2024-12-13
DOI
https://doi.org/10.1080/23322039.2024.2437007
Primary Topic
Market Dynamics and Volatility
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Market persistence amidst financial crisis: an Indian investigation

Bikramaditya Ghosh, Anindita Bhattacharjee, Jaya Mamta Prosad
Cogent Economics & Finance
Market Dynamics and Volatility
article

Market persistence amidst financial crisis: an Indian investigation

Bikramaditya Ghosh, Anindita Bhattacharjee, Jaya Mamta Prosad
article en

Abstract

This study examines persistence behavior of the Indian Stock Market during financial crises over the past decade (2012–2022). The investigation period encompasses significant events such as economic depression of 2013, demonetization and implementation of the Goods and Services Tax (2016–2017), the US-China Trade War (2018), and the COVID-19 pandemic (2021–2022). This study focuses on the dynamic persistence of various stocks by measuring the Hurst Exponent (HE) using the sliding window method and identifying herding patterns in the financial market. The technique is novel because it explains the time-varying degree of persistence during financial crises, anticipating future trends in the financial returns. The results classify stocks as either mean-reverting or trending. Moreover, the study also compares persistence for shorter and longer time windows, where the presence of higher persistence is observed as the window size is reduced. Furthermore, the majority of the stocks show high persistence in all crisis periods, with the highest value of HE during the economic downturn (2012–2014) and the post-COVID-19 era (2021–2022). Financial advisors can refer to HE values, assisting the investors with decisions such as ‘buy’, ‘sell’ or ‘hold’. Furthermore, a higher HE value can become an early warning signal for impending market stress in the form of bubbles or bursts.

Cogent Economics & FinanceVol. 13(1)
Symbiosis International University (IN), Fortune Institute of International Business (IN), Institute of Business Management (PK), Harper Adams University (GB)
Openalex Percentile: Top 72%
Market Dynamics and Volatility
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.