Understanding and measuring model risk is important to financial practitioners. However, there lacks a non-parametric approach to model risk quantification in a dynamic setting and with path-dependent losses. We propose a complete theory generalizing the relative-entropic approach by Glasserman...

Quantifying risk is pivotal for every financial institution. In the conventional framework, time is the key aspect for all the well-established risk measures. However, extracting and analyzing the frequency information conveyed by financial data, could yield improved insights about the inherent...

As a consequence of recent technological advances and the proliferation of high-frequency trading and other forms of algorithmic trading, the cost of trading in financial markets has irrevocably changed. One important change relates to how trading affects prices; this is known as price impact....

Implementing a mix of micro and macroeconomics policy instruments to reduce poverty is fundamental for all developing countries. In this study, we engage Liberians in ranking of potential pro-poor policy instruments to reduce poverty and promote entrepreneurial spirit. A purposeful survey was...