This paper tests the finite sample properties of the Kuan and Lee's (KL) test to study market efficiency by mean of extensive Monte Carlo experiments using different data generating processes. We apply the KL test with and without wild bootstrap on the six global stock indices covering major US,...

Purpose – The purpose of this paper is to test the efficient market hypothesis for major Indian sectoral indices by means of long memory approach in both time domain and frequency domain. This paper also tests the accuracy of the detrended fluctuation analysis (DFA) approach and the local...

This paper examines the linkages among the stock markets of Portugal, Ireland, Italy, Greece, Spain and India using the vector autoregressive multivariate exponential generalised autoregressive conditional heteroskedasticity (VAR-MVEGARCH) model. We also examine the return and volatility...

Purpose This paper aims to propose a framework based on the unbiased extreme value volatility estimator (namely, the AddRS estimator) to compute and predict the long position and the short position value-at-risk (VaR) and stressed expected shortfall (ES). The precise prediction of VaR and ES...

Purpose – This paper aims to test the finite sample properties of the automatic variance ratio (AVR) test and suggest suitable measure to improve its small sample properties under conditional heteroskedasticity and apply it to test the martingale hypothesis in the stock prices of the Portugal,...