Investors are becoming more sensitive about returns and losses, especially when the investments are exposed to downside risk potential in the financial markets. Despite the computational intensity of the downside risk measures, they are very widely applied to construct a portfolio and evaluate...

This paper examines point and density forecasts from the European Central Bank’s Survey of Professional Forecasters. We derive individual uncertainty measures along with individual point- and density-based measures of disagreement. We also explore the relationship between uncertainty and...

To avert the impending global Cyber-Finance Insurance Crisis based upon large-scale commercial reliance upon quantitative models with inherent model risks, tail risks, and systemic risks in current form, this post-doctoral thesis makes the following key contributions: Develops the first known...

The paper is an empirical research work wherein the principle of Modern Portfolio Theory along with aspects of geographical diversification have been subjected to test. The validation of the said theory has been made via hypothesis testing in light of the financial market data. The paper has...

This paper examines point and density forecasts from the European Central Bank's Survey of Professional Forecasters. We derive individual uncertainty measures along with individual point- and density-based measures of disagreement. We also explore the relationship between uncertainty and...

This paper looks to see if departures from risk neutrality cause subjects to behave differently in randomly terminated supergames compared to infinitely discounted supergames. I show that if subjects have a strictly monotonic utility function, and that utility function is applied to their entire...