Purpose The purpose of this study is to show how scenario-based forecasting can give a better understanding of future commercial potential of a newly developed technology. This study aims to bridge the existing gaps in technology commercialization process for various projects supported under...

Forecasting exchange rate movements is challenging, as they exhibit high volatility, complexity and noise. Most traditional models cannot forecast exchange rates, with significantly higher accuracy, than a random walk model. In this study, a non-linear model called artificial neural network...

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...

The present study examines dynamic relation between stock index and exchange rate by using the daily data for India. The empirical evidence suggests that there is no long-run relationship; how-ever, there is bidirectional causality between stock index and exchange rates. The findings of the...