After the recent events in the global financial system there has been significant progress in the literature focusing on the sources of systemic importance of financial institutions. However, the concept of systemic importance is in practice often simplified to the problem of size and contagion...

We provide a macro stress-testing model for banks' market and funding liquidity risks with a survival period of one and three months. The model takes into account the impact of both bank-specific and market-wide scenarios and considers both the first- and second-round effects of shocks. The...

This paper examines the impact of monetary conditions on the risk-taking behaviour of banks in the Czech Republic by analysing the comprehensive credit register of the Czech National Bank. Our duration analysis indicates that expansionary monetary conditions promote risk-taking among banks. At...

The project is focused on top-down stress testing of the Czech insurance sector. The aim of the present paper is to describe the advanced method for macro stress testing of insurance companies used by the CNB. We apply the presented stress test to eleven Czech insurance companies. The shocks...

This paper focuses on the way the macroprudential policy framework in a small EU economy should be designed. With reference to the experience of the Czech Republic's financial system and the Czech National Bank it provides definitions of financial stability and macroprudential policy as well as...

This paper articulates a logical foundation-drawn from disparate literatures-for understanding why safeguarding financial stability is an important economic policy objective. The paper also explains why private aspects of finance provide broader social economic benefits and have the...

In this paper we propose a new approach to the assessment of excessive risk-taking by a banking sector. We use the portfolio approach to assess the optimal risk-return combination of a bank’s portfolio, based on data for 32 categories of loans. It provides a benchmark for the optimality...