We employ proprietary data from a large bank to analyze how – in times of crisis – depositors react to a bank nationalization, re-privatization and an accompanying increase in deposit insurance. Nationalization slows depositors fleeing the bank, provided they have sufficient trust in the...

We develop a dynamic model of banking to assess the effects of liquidity and leverage requirements on banks' insolvency risk. In this model, banks face taxation, flotation costs of securities, and default costs and maximize shareholder value by making their financing, liquid asset holdings, and...

Limited liability creates a conflict of interests between policyholders and shareholders of insurance companies. It provides shareholders with incentives to increase the risk of the insurer's assets and liabilities which, in turn, might reduce the value policyholders attach to and premiums they...

The aim of this contribution is to revisit, clarify and complete the picture of uncertainty estimates in the chain-ladder (CL) claims reserving method. Therefore, we consider the conditional mean square error of prediction (MSEP) of the total prediction uncertainty (using Mack's formula) and the...

Life insurers use reinsurance to move liabilities from regulated and rated companies that sell policies to shadow reinsurers, which are less regulated and unrated off-balance-sheet entities within the same insurance group. U.S. life insurance and annuity liabilities ceded to shadow reinsurers...

These notes aim at giving a broad skill set to the actuarial profession in insurance pricing and data science. We start from the classical world of generalized linear models, generalized additive models and credibility theory. These methods form the basis of the deeper statistical understanding....

This is a summary of the main topics and findings from the Swiss Risk and Insurance Forum 2015. That event gathered experts from academia, insurance industry, regulatory bodies, and consulting companies to discuss the past and current developments and necessary next steps for dealing with...

Machine learning techniques make it feasible to calculate claims reserves on individual claims data. This paper illustrates how these techniques can be used by providing an explicit example in individual claims reserving

We show that lenders charge higher interest rates for mortgages on properties exposed to a greater risk of sea level rise (SLR). This SLR premium is not evident in short-term loans and is not related to borrowers’ short-term realized default or creditworthiness. Further, the SLR premium is...

We compile a rich dataset that links institutional investors' position level holdings with corporate bond characteristics and estimate demand elasticities with respect to critical sources of risk. Persistence in institutions' holdings provide us with an instrument to isolate exogenous movements...