We characterize the comparative efficiency of industry self-regulation as means of social control of torts. Industry self-regulation is, unlike liability, which is imposed by courts ex post, similar to government regulation in that self-regulation acts before the harm is done. However, the...

This paper demonstrates that, notwithstanding conventional statutory and discretionary remedies, practical injustice nevertheless prevails whenever the Commissioner of Taxation makes a revised private ruling

Indirect discrimination is an issue of major concern in algorithmic models. This is particularly the case in insurance pricing where protected policyholder characteristics are not allowed to be used for insurance pricing. Simply disregarding protected policyholder information is not an...

Regulatory stress tests have become the primary tool for setting capital requirements at the largest U.S. banks. The Federal Reserve uses confidential models to evaluate bank-specific outcomes for bank-specific portfolios in shared stress scenarios. As a matter of policy, the same models are...

Computational methods both open the frontiers of economic analysis and serve as a bottleneck in what can be achieved. Using the quantum Monte Carlo (QMC) algorithm, we are the first to study whether quantum computing can improve the run time of economic applications and challenges in doing so....

We develop an agent-based model of traditional banks and asset managers to investigate the contagion risk related to fire sales and balance sheet interactions. We take a structural approach to the price formation in fire sales as in Bluhm et al. (2014) and introduce a market clearing mechanism...

In this paper we give a resume of the correlation concept that underlies the models for credit risk measurement, for the rating of structured products, for the pricing of (tranches of) structured products, and for Basel II capital charges. We discuss how securitization has changed the risk...

This paper proposes a simple and crude way of approximating the XVA sensitivities. In short, the idea is simply to recycle the existing base simulated portfolio values for the bumped ones. This is done by re-simulating the risk factors for the bumped market and finding out which other base state...