How well the log periodic power law works in an emerging stock market?
subject: crashes; Financial bubbles; fit method; log-periodic power law
description: A growing body of research work on Log Periodic Power Law (LPPL) tries to predict market bubbles and crashes. Mostly, the fitment parameters remain con?ned within certain specific ranges. This paper examines these claims and the robustness of the reformulated LPPL model of Filimonov & Sornette (2013) for capturing large falls in the S&P BSE Sensex, an Indian heavyweight index over the period 20002019. Thirty-five mid to large-sized crashes are identified during this period, forming a clear LPPL signature. This confirms the possibility to predict the embedded risk of future uncertain events in the Indian stock market with the LPPL approach. 2020 Informa UK Limited, trading as Taylor & Francis Group.
creator: Ghosh B.; Kenourgios D.; Francis A.; Bhattacharyya S.
source: Applied Economics Letters, Vol-28, No. 14, pp. 1174-1180.
publisher: Routledge
date: 2021-01-01
rights: Restricted Access
relation: ISSN: 13504851
format: Online
language: English
type: Article
coverage: Ghosh B., School of Business and Management, Christ University, Bangalore, India; Kenourgios D., Department of Economics UoA Center for Financial Studies, National and Kapodistrian University of Athens, Athens, Greece; Francis A., School of Business and Management, Christ University, Bangalore, India; Bhattacharyya S., Department of Physics, Christ University, Bangalore, India