A Multivariate Multiscale Entropy Approach to Testing Commodity Market Efficiency

The IUP Journal of Financial Risk Management, Vol. XII, No. 3, September 2015, pp. 7-28

Posted: 16 Dec 2015

See all articles by Rahuldeb Das

Rahuldeb Das

Techno India College of Technology; Capgemini

Ranajit Chakrabarty

Independent

Date Written: December 16, 2015

Abstract

This study examines the efficiency of the Indian commodity market after the onset of futures trading on the national level commodity exchanges. The efficiency of five agricultural and three non-agricultural commodities have been tested by calculating multiscale sample entropy, taking univariate and multivariate series. An efficiency index has been built with this design. The results indicate that the Indian commodity market is partially efficient. The efficiency fluctuation is higher in the case of agricultural commodities. The slowdown in 2008 reduced the market efficiency of the exportoriented commodities. Moreover, seasonality in the market efficiency is observed for a few agricultural commodities.

Suggested Citation

Das, Rahuldeb and Chakrabarty, Ranajit, A Multivariate Multiscale Entropy Approach to Testing Commodity Market Efficiency (December 16, 2015). The IUP Journal of Financial Risk Management, Vol. XII, No. 3, September 2015, pp. 7-28, Available at SSRN: https://ssrn.com/abstract=2704223

Rahuldeb Das (Contact Author)

Techno India College of Technology ( email )

Kolkata 700156
West Bengal
India

Capgemini

Kolkata
India

Ranajit Chakrabarty

Independent ( email )

United States

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