In recent years, several U.S. government agencies have pioneered the use of artificial intelligence (AI) and other emerging technologies to improve the efficiency and accuracy of their 'responsibility determinations' (reviews of, among other things, contractor representations and certifications,...

This study explores the impact of real economic policy (business condition risk) on the oil-stock nexus risk connectedness during the COVID-19 pandemic. It uses multivariate wavelet coherency and partial wavelet coherency methods to isolate the effects of global risk indices, such as the US...

Banking regulation and supervision have a key role to play in realising the EU’s climate change objectives. In this article we analyse the EU-level initiatives currently underway to green the banking system, in particular with regard to the microprudential rulebook. We document how regulators...

Changes in collateralization have been implicated in significant default (or near-default) events during the financial crisis, most notably with AIG. We have developed a framework for quantifying this effect based on moving between Merton-type and Black-Cox-type structural default models. Our...

Historical VaR, CVaR and ES (Expected Shortfall) to LIQUIDATION Software is a model characterized by its straightforwardness, allowing regulators measure risk using a standard database of primitive factors and portfolio positions only, leaving little error margin in comparing market risk for...

Today a new generation of food safety policy is emerging in OECD countries and international public health forums. The United States has actively contributed to the thinking and scientific research underlying this new generation of policy. A consensus has emerged among nations about the basic...

Choosing a proper external risk measure is of great regulatory importance, as exemplified in the Basel II and Basel III Accord which use Value-at-Risk (VaR) with scenario analysis as the risk measures for setting capital requirements. We argue a good external risk measure should be robust with...

This paper attempts to provide a decision-theoretic foundation for the measurement of economic tail risk, which is not only closely related to utility theory but also relevant to statistical model uncertainty. The main result is that the only risk measures that satisfy a set of economic axioms...

It has become widely acknowledged that the looming climate crisis and the necessary transition to a low-carbon economy can and will be financially material for financial institutions. Accordingly, microprudential supervisors have started including climate-related financial risks in their daily...

The high cost of capital for firms conducting medical research and development (R&D) has been partly attributed to the government risk facing investors in medical innovation. This risk slows down medical innovation because investors must be compensated for it. We propose new and simple financial...