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...

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,...

In this paper, we derive a reflection principle for a random walk with the symmetric double exponential distribution. This allows us to come up with the closed form solution for the joint probability of the running maximum and the terminal value of the random walk. Based on this new theoretical...

This article examines the return, volatility, upside risk and downside risk spillover effects from crude oil prices and the US$/INR exchange rate to the major Indian industrial sectors using Hong’s (2001) approach. We make use of the generalised autoregressive conditional...

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...

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...