Modelling Financial Contagion Using High Frequency Data

Yao W, Dungey M, Alexeev V, Modelling Financial Contagion Using High Frequency Data, Economic Record, 2020 Forthcoming

36 Pages Posted: 7 Jul 2020

See all articles by Wenying Yao

Wenying Yao

Deakin University - Department of Economics

Mardi H. Dungey

University of Tasmania (deceased); Financial Research Network (FIRN) (deceased)

Vitali Alexeev

University of Technology Sydney

Multiple version iconThere are 2 versions of this paper

Date Written: June 11, 2020

Abstract

This paper develops a methodology for detecting and measuring contagion using high frequency data which disentangles continuous and discontinuous price movements. We demonstrate its finite sample properties using Monte-Carlo simulation, focusing on the empirically plausible parameter space. Decisions to extend the role of financial regulation around the world to the supervision of insurers post-GFC has been met with literature which supports both the systemic importance of insurers and contrasting evidence that insurers are rather the ’victims’ of shocks transmitted via banks. We contribute to this debate by considering the time-varying evidence for contagion at both the firm level and the sectorial level impacts. A number of insurance companies exhibits bank-like characteristics. Our evidence for contagion effects from banks to the real economy, with similar impact from the insurers, supports the view that financial regulation on banks does need to be extended to the insurance sector.

Keywords: Factor model, Crisis transmission, Jumps, High frequency data

JEL Classification: C10, C58, G01

Suggested Citation

Yao, Wenying and Dungey, Mardi H. and Alexeev, Vitali, Modelling Financial Contagion Using High Frequency Data (June 11, 2020). Yao W, Dungey M, Alexeev V, Modelling Financial Contagion Using High Frequency Data, Economic Record, 2020 Forthcoming , Available at SSRN: https://ssrn.com/abstract=3625267

Wenying Yao

Deakin University - Department of Economics ( email )

Australia

Mardi H. Dungey

University of Tasmania (deceased)

Financial Research Network (FIRN) (deceased)

Vitali Alexeev (Contact Author)

University of Technology Sydney ( email )

UTS Business School
PO Box 123, Broadway
Sydney, NSW
Australia

HOME PAGE: http://valexeev.yolasite.com

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