TDA Analysis: The COVID-19 Impact on Banking and Pharma

Written by marketcrash | Published 2025/09/03
Tech Story Tags: stock-market | stock-market-crashes | extreme-events-(ees) | persistent-homology | wasserstein-distance | financial-crises-analysis | sector-wise-analysis | covid-19-pandemic-impact

TLDRExplore a Topological Data Analysis (TDA) study on the COVID-19 pandemic's impact on the Indian stock market. via the TL;DR App

I. Introduction

II. Methodology

III. TDA Approach to analyzing multiple time series

IV. Data Analyzed

V. Results and Discussion

A. Obtaining point cloud from stock price time-series

B. EE due to the 2008 Financial crisis

C. EE due to COVID-19 pandemic

D. Impact of COVID-19 on different Indian sectors

VI. Conclusion

VII. Acknowledgments and References

D. Impact of COVID-19 on different Indian sectors

We analyze the impact of COVID-19 in different sectors of the Indian stock market such as Banking, Pharmaceutical, Metal, Automobiles, and fast-moving consumer goods (FMCG). For these sectors, we have taken the companies based on their respective Nifty sector indices.

Authors:

(1) Anish Rai, Department of Physics, National Institute of Technology Sikkim, Sikkim, India-737139;

(2) Buddha Nath Sharma, Department of Physics, National Institute of Technology Sikkim, Sikkim, India-737139;

(3) Salam Rabindrajit Luwang, Department of Physics, National Institute of Technology Sikkim, Sikkim, India-737139;

(4) Md.Nurujjaman, Department of Physics, National Institute of Technology Sikkim, Sikkim, India-737139;

(5) Sushovan Majhi, Data Science Program, George Washington University, USA, 20052.


This paper is available on arxiv under CC BY 4.0 DEED license.


Written by marketcrash | Market Crash
Published by HackerNoon on 2025/09/03