We investigate the effect of model specification on the aggregation of (correlated) market and credit risk. We focus on the functional form linking systematic credit risk drivers to default probabilities. Examples include the normal based probit link function for typical structural models, or...

In this paper we develop empirical measures for the strength of spillover effects. Modifying and extending the framework by Diebold and Yilmaz (2011), we quantify spillovers between sovereign credit markets and banks in the euro area. Spillovers are estimated recursively from a vector...

The global financial crisis has placed the spotlight squarely on bank stress tests. Stress tests conducted in the lead-up to the crisis, including those by IMF staff, were not always able to identify the right risks and vulnerabilities. Since then, IMF staff has developed more robust stress...

In this paper we develop empirical measures for the strength of spillover effects. Modifying and extending the framework by Diebold and Yilmaz (2011), we quantify spillovers between sovereign credit markets and banks in the euro area. Spillovers are estimated recursively from a vector...

The relation between asset correlation and default probability is critical for determining bank regulatory capital requirements. It is assumed negative for sovereign, corporate and banking exposures by the Basel Committee on Banking Supervision. This article provides likelihood ratio tests for...

This article tries to solve the portfolio inflation hedging problem by introducing a new class of dynamic trading strategies derived from classic portfolio insurance techniques adapted to the real world. These strategies aim at yielding higher returns on a risk-adjusted basis than regular...

We examine the stock market valuation of large and systemic U.S. banks over the period 2003Q4-2014Q1. These are the banks included in a series of supervisory capital review and stress tests conducted annually since 2009 by the Federal Reserve. We extend Gordon's growth model of stock valuation,...

This paper presents a methodology to calculate the Systemic Risk Ranking of financial institutions in the European banking sector using publicly available information. The proposed model makes use of the network structure of financial institutions by including the stock return series of all...

We assess the dynamics of volatility spillovers among global systemically important banks (G-SIBs). We measure spillovers using vector-autoregressive models of range volatility of the equity prices of G-SIBs, together with machine learning methods. We then compare the size of these spillovers...

Robot advisory services are rapidly expanding, responding to a growing interest people have in directly managing their savings. Robot advisors may reduce costs and improve the quality of the service, making user involvement more transparent. However, they may underestimate market risks,...