Predicting currency movements is perhaps one of the hardest exercises in economics as it has many variables affecting its market movement. This study concerns with some of the usual macroeconomic variables which, in theory, are expected to affect the exchange rate between two countries. Indian...

Joint dynamics of market index returns, volume traded and volatility of stock market returns can unveil different dimensions of market microstructure. It can be useful for precise volatility estimation and understanding liquidity of the financial market. In this study, the joint dynamics is...

Electricity is a commodity and has a characteristic of being non-storable; it must be consumed once it is produced. In India, the Electricity Act (2003) tries to promote competition by unbundling and treating generation, transmission and distribution as separate entities. In order to address the...

The paper studies the impact of bank specific, industry specific and macroeconomic factors affecting profitability of Indian Banks in a dynamic model framework. The persistence of bank profits and endogeneity of the factors have been accounted for using Generalised Method of Moments (GMM) as...

This paper aims to study the sensitivity of Bayes estimate of location parameter of an Inverse Gaussian (IG) distribution to misspecification in the prior distribution. It also studies the effect of misspecification of the prior distribution on two-sided predictive limits for a future...

Recently, a lot of questions were raised about the financial health of commercial banks in India. This paper analyzes the Indian banks' riskiness and the probability of book-value insolvency under the framework developed by Hannan and Hanweck (1988). A risk index, known as Z score, for Global...

The aim of this paper is to develop an algorithm for calculating and plotting payoff of option strategies for a portfolio of path independent vanilla and exotic options. A general algorithm for calculating the vector matrix for any arbitrary combination strategy is also developed for some of the...

In this paper we employ ML-II ε-contaminated class of priors to study the sensitivity of Bayes Reliability measures for an Inverse Gaussian (IG) distribution and Lognormal (LN) distribution to misspecification in the prior. The numerical illustrations suggest that reliability measures of both...

In this paper a procedure is developed to derive the predictive density function of a future observation for prediction in a multiple regression model under hierarchical priors for the vector parameter. The derived predictive density function is applied for prediction in a multiple regression...

In the past decades, there has been an unprecedented increase in cross border transactions between countries in terms of goods and financial flows. This integration has been fuelled by search of lower risk investments, risk diversification, search for cost effective and more efficient factors of...