Credit and interest rate risk in the banking book are the two most important risks faced by commercial banks. In this paper we derive a consistent and general framework to measure the integrated impact of both risks on banks' portfolios. The framework accounts for all sources of credit risk and...

We report results of an internet experiment designed to test the theory of informational cascades in financial markets. More than 6000 subjects, including a subsample of 267 consultants from an international consulting firm, participated in the experiment. As predicted by theory, we find that...

We report results of an internet experiment designed to test the theory of informational cascades in financial markets (Avery and Zemsky, AER, 1998). More than 6000 subjects, including a subsample of 267 consultants from an international consulting firm, participated in the experiment. As...

AbstractThe following sections are included:IntroductionData and MethodologyFrequency-based filter analysisTurning-point analysisCharacterizing Cycles in Individual SeriesFrequency-based filter analysis: Short-term and medium-term cyclesTurning-point analysis: Short-term and medium-term...

Credit-to-GDP gaps are valuable early warning indicators for systemic banking crises. As such, they are useful for identifying vulnerabilities and can help guide the deployment of macroprudential tools such as the build-up of countercyclical capital buffers. In line with Basel III...

We critically review the state of the art in macro stress testing, assessing its strengths and weaknesses. We argue that, given current technology, macro stress tests are ill-suited as early warning devices, ie as tools for identifying vulnerabilities during seemingly tranquil times and for...

We characterise empirically the financial cycle using two approaches: analysis of turning points and frequency-based filters. We identify the financial cycle with the medium-term component in the joint fluctuations of credit and property prices; equity prices do not fit this picture well. We...