skip to content

Faculty of Economics

Journal Cover

Harvey, A. C.

Tracking a changing copula

Journal of Empirical Finance

Vol. 17(3) pp. 485-500 (2010)

Abstract: A copula models the relationships between variables independently of their marginal distributions. When the variables are time series, the copula may change over time. Recursive procedures based on indicator variables are proposed for tracking these changes over time. Estimation of the unknown parameters is by maximum likelihood. When the marginal distributions change, pre-filtering is necessary before constructing the indicator variables on which the recursions are based. This entails estimating time-varying quantiles and a simple method based on time-varying histograms is proposed. The techniques are applied to the Hong Kong and Korean stock market indices. Some interesting and unexpected movements are detected, particularly after the attack on the Hong Kong dollar in 1997

JEL Codes: C14, C22, F36

Author links: Andrew Harvey  

Publisher's Link: http://dx.doi.org/10.1016/j.jempfin.2009.10.004

Keynes Fund Project(s):
Dynamic Models for Volatility and Heavy Tails (JHLC)  
Dynamic Models for Volatility and Heavy Tails (JHLH)  



Papers and Publications



Recent Publications


Carvalho, V. M., Nirei, M., Saito, Y. U. and Tahbaz-Salehi, A. Supply Chain Disruptions: Evidence from the Great East Japan Earthquake Quarterly Journal of Economics [2021]

Bhattacharya, D., Dupas, P. and Kanaya, S. Demand and Welfare Analysis in Discrete Choice Models with Social Interactions Review of Economic Studies, accepted [2023]

Ductor, L., Goyal, S. and Prummer, A. Gender and Collaboration Review of Economics and Statistics, forthcoming [2022]

Brotherhood, l., Cavalcanti, T., Da Mata, D. and Santos, C. Slums and Pandemics Journal of Development Economics [2022]