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...

During the last decade, the increase in computational capacity, the consolidation of new data processing methodologies and the availability of access to new information concerning both individuals and organizations, aided by the widespread internet usage, has increased the development and...

Fundaments of classification lie on the interdependences between the features and the labels to classify. For social parameters, this relationships are difficult to model and measure. In this paper, a way of obtaining a social indicator using sentiment analysis in Twitter is explained. With the...

In this note we describe a smart derivative contract with a fully deterministic termination to remove many of the inefficiencies in collateralized OTC transactions. The automatic termination procedure embedded in the smart contracts replaces the counterparty default by an option right of the...

This paper discusses the way Value-at-Risk (VaR) measurement can be applied to oil refining, a fully liberalized industry which is largely exposed to price risk. After a description of the industry, the calculation of a single asset VaR, such for a crude oil purchase, it is introduced....

In the post-WWII (since the 1950s), there have been over 400 banking, currency, and sovereign debt crises, which translates to about 10 crises per annum; furthermore, the combined cost of the last five crises since the late 1990s is in excess of $30 trillion, but when the cost of the COVID-19...

When borrowers default or fail to repay the lenders (banks), default–linked risks-so called credit risks do emerge. Such risks are critical to several agents like creditors, borrowing firms, and governments alike. As such, financial engineers have been putting in place some scientific...

“History repeats itself” is not just an idiom, it is the naked truth; another agonizing fact is that humans do not seem to have learned from past experiences throughout history. For instance, misleading or policy error by the Fed (unwarranted tight-money policy stance in the 1920s) was...

Artificial intelligence and machine learning have increasing influence on the financial sector, but also on economy as a whole. The impact of artificial intelligence and machine learning on banking risk management has become particularly interesting after the global financial crisis. The...