This paper analyzes how insurance companies allow the issue of market incompleteness to be overcome. A general equilibrium economy is considered in which heterogeneous agents face endowment risks. Markets are incomplete: there are only markets for trading commodities ex-post and hedging price...

The classic Arrow-Debreu framework requires a very large number of specific securities to reach Pareto optimality. The present paper shows that financial intermediation can play an important role in maintaining a more parsimonious market framework while still obtaining Pareto optimality. In the...

This paper investigates the reputational risk measurement in banking using a simple model that integrates random effects and Logit models. The pricing theory is outlined to include risk determinant factors as well as negative news for banks. The environment under which the quantitative model is...

Climate-related financial risks might have the potential to trigger the next systemic financial crisis, as recently stated by the Bank for International Settlements. In consequence, understanding these so-called Green Swan risks should be a key priority in financial decision-making and...

This paper develops a new methodology in order to study the role of dynamic expectations. Neither reference-point theories nor feedback models are sufficient to describe human expectations in a dynamic market environment. We use an interdisciplinary approach and demonstrate that expectations of...

This article aims to build through the collection of inputs from prior research, regulatory input and practitioner's experience, a comprehensive definition of risk.Risk is not measurable uncertainty nor volatility. Risk is a three part concept: (1) risk is the potential that events may have an...

We consider an optimal risk-sensitive portfolio allocation problem accounting for the possibility of cascading defaults. Default events have an impact on the distress state of the surviving stocks in the portfolio. We study the recursive system of non-Lipschitz quasi-linear parabolic HJB-PDEs...

Overconfidence is a well-established bias in which someone's subjective confidence in their own judgments is systematically greater than their objective accuracy. There is abundant anecdotal evidence that overconfident people increase their exposure to risk. In this paper, we test whether...

The regulatory use of banks' internal models makes capital requirements more risk-sensitive but invites regulatory arbitrage. I develop a framework to study bank regulation with strategic selection of risk models. A bank supervisor can discourage arbitrage by auditing risk models, and implements...

In an evolving digital landscape marked by escalating operational complexity, the need for innovative operational risk management (ORM) methodologies is more pressing than ever. This thought-leadership paper explores the potential of generative artificial intelligence (AI) – specifically,...