This paper identifies the science of governance as a crucial blind spot for risk managers, company directors, regulators and law makers. There is little evidence that law-makers, corporate governance reformers or risk managers apply the science of governance identified 60 years ago. As a result,...

With the Great Recession and the regulatory reform that followed, the search for reliable means to capture systemic risk and to detect macrofinancial problems has become a central concern. In the United States, this concern has been institutionalized through the Financial Stability Oversight...

Financial globalization has given an impetus to the development and innovation in financial products. However, at the same time, it has complicated banking regulations and its consequent risk management mechanisms. The GFC and consequent Basel III have accentuated the importance of operational...

This paper evaluates the model risk of models used for forecasting systemic and market risk. Model risk, which is the potential for different models to provide inconsistent outcomes, is shown to be increasing with market uncertainty. During calm periods, the underlying risk forecast models...

This paper discusses the key policy issues around the policy implementation of the Basel advanced measurement approach (AMA) to operational risk management. These issues pertain to operational risk governance, capital measurement and allocation, and future advances in operational risk transfer....

We propose a semiparametric measure to estimate systemic interconnectedness across financial institutions based on tail-driven spill-over effects in a ultra-high dimensional framework. Methodologically, we employ a variable selection technique in a time series setting in the context of a...

AI artificial intelligence brings about new quantitative techniques to assess the state of an economy. Here we describe a new measure for systemic risk: the Financial Risk Meter (FRM). This measure is based on the penalization parameter (λ) of a linear quantile lasso regression. The FRM is...

In this paper we propose a new measure for systemic risk: the Financial Risk Meter (FRM). This measure is based on the penalization parameter () of a linear quantile lasso regression. The FRM is calculated by taking the average of the penalization parameters over the 100 largest US publicly...

A systemic risk measure is proposed accounting for links and mutual dependencies between financial institutions utilising tail event information. FRM (Financial Risk Meter) is based on Lasso quantile regression designed to capture tail event co-movements. The FRM focus lies on understanding...

We address the problem of regulating the size of banks' macroprudential capital buffers by using market-based estimates of systemic risk and by developing a modeling mechanism through which capital buffers can be allocated efficiently across systemic banks. First, a Distance-to-Default type...