Testing the efficiency of metal's market: new evidence from a generalized spectral test

Abstract

Purpose

This paper aims to examine the weak form of efficiency for price series of four precious metals, i.e. gold, silver, platinum and palladium, using a generalized spectral method.

Design/methodology/approach

The method has the advantage of detecting both linear and non-linear serial dependence in the conditional mean, and it is robust to various forms of conditional heteroscedasticity. The authors use three different rolling windows for the purpose of robustness.

Findings

The authors report weak form of efficiency across metals series for almost all rolling windows. The optimum efficiency for Gold and Palladium is achieved through 250 days rolling window estimates whereas it is 500 days rolling window for silver. Platinum has similar efficiency levels across rolling windows. The degree of efficiency for metal prices is observed to be varying over time with silver market possessing highest levels of efficiency. The efficiency synchronization also varies across rolling windows and metals.

Research limitations/implications

The results reveal that metal markets are efficient for most times implying the low predictability and the low likelihood of earning abnormal returns by speculating in these markets.

Originality/value

The study uses a relatively new statistical technique, the generalized spectral test, to capture linear and non-linear serial dependence. Therefore, the results possess adequate power against departure from market efficiency.

Citation

Pathak, R., Gupta, R.D., Taufemback, C.G. and Tiwari, A.K. (2020), "Testing the efficiency of metal's market: new evidence from a generalized spectral test", Studies in Economics and Finance, Vol. 37 No. 2, pp. 311-321. https://doi.org/10.1108/SEF-07-2019-0253