This study attempts to examine the price discovery process and volatility spillovers in Gold futures and spot markets of National Commodity Derivatives Exchange (NCDEX) by employing Johansen’s Vector Error Correction Model (VECM) and the Bivariate ECM-EGARCH(1,1) model. The empirical result...

Investment professionals, particularly financial analysts or security analysts evaluate securities and try to determine characteristics of securities and to identify mispriced securities. For that purpose they use different models to estimate the intrinsic value of the common stocks. Traditional...

In this paper we study the possible effect it may have concerning the use of financial derivatives in the evolution of the share price of Mexican non-financial corporations, whether such contracts are used for hedging financial risks or for trading. The first part is a review of the literature...

Using the maximum likelihood method, in order to estimate Half-Normal stochastic frontier production models, entails several practical di±culties that, perhaps, have not been su±ciently emphasised. In employing FRONTIER software, we analyse the case in which the estimation obtained suggests...

In this study, a vector autoregression (VAR) model with time-varying parameters (TVP) to predict the daily Indian rupee (INR)/US dollar (USD) exchange rates for the Indian economy is developed. The method is based on characterization of the TVP as an optimal control problem. The methodology is a...

This study examines the impact of volatility shifts on volatility persistence for three major sector indices of Istanbul Stock Exchange (ISE) and ISE National 100 index over the period beginning from 1997 and ending in 2009. The exponential generalized autoregressive conditional...

This paper develops a framework for evaluating the importance of the arrival of new information for forecasting, estimation, and decision making. By fusing known and recently developed statistical tests and concepts, the paper provides guidelines for detecting outliers, influential observations,...