Based on the specification of the Conditional Autoregressive Range (CARR) model, we provide a framework that makes use of volatility based on the high and the low of daily prices separately to model the dynamic behavior of the conditional Rogers and Satchell (1991) estimator called herein the...

In this paper, we provide a framework to model and forecast daily volatility based on the newly proposed additive bias corrected extreme value volatility estimator (the Add RS estimator). The theoretical framework of the additive bias corrected extreme value volatility estimator is based on the...

Purpose – The main purpose of this paper is to examine the asymmetry and long memory properties in the volatility of the stock indices of the PIIGS economies (Portugal, Ireland, Italy, Greece and Spain). Design/methodology/approach – The paper utilizes the wavelets approach (based on Haar,...

Using high frequency data, this paper examines the long memory property in the unconditional and conditional volatility of the USD/INR exchange rate at different time scales using the Local Whittle (LW), the Exact Local Whittle (ELW) and the FIAPARCH models. Results indicate that the long memory...

In this paper, we assess the size and power properties of Inclan and Tiao's (1994) Iterated Cumulative Sum of Squares (IT ICSS) algorithm for detecting sudden changes in volatility. We make use of the variance estimator that utilizes high, low and closing prices proposed by Rogers and Satchell...

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,...

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,...

We propose and implement an empirical automatic bias correction (ABC) procedure for correcting the downward bias in the volatility estimators that utilize extreme value of asset prices. The bias originates from the random walk effect. The proposed estimator does not require knowledge of N, the...

This study explores the dynamic nature of return, volatility and correlation transmission mechanism among Indian exchange rates relative to US dollar (USD), Great Britain pound (GBP), euro and Japanese yen. We make use of the dynamic conditional correlation (DCC) vector autoregressive...

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,...