Banks in the European Union recently started publicly reporting data on profit, number of employees, turnover and tax on a country-by-country basis. I introduce the largest, hand-collected data set of its kind, which covers almost 50 banks for up to 5 years between 2013 and 2017. I identify the...

This paper studies the extent to which monetary policy may affect banks' perception of credit risk and the way banks measure risk under the internal ratings-based approach. Specifically, we analyze the effect of different monetary policy indicators on banks' risk weights for credit risk. We...

Quantitative investment strategies are often selected from a broad class of candidate models estimated and tested on historical data. Standard statistical technique to prevent model overfitting such as out-sample back-testing turns out to be unreliable in the situation when selection is based on...

An important component of monetary policy transmission is the pass-through from financial market interest rates, directly influenced or targeted by central banks, to the rates that banks charge firms and households. Yet the available evidence on the strength and speed of the pass-through is...

The aim of this paper is to propose a methodology to estimate loss given default (LGD) and apply it to a set of micro-data of loans to SME and corporations of an anonymous commercial bank from Central Europe. LGD estimates are important inputs in the pricing of credit risk and the measurement of...

The goal of the Basle II regulatory formula is to model the unexpected loss on a loan portfolio. The regulatory formula is based on an asymptotic portfolio unexpected default rate estimation that is multiplied by an estimate of the loss given default parameter. This simplification leads to a...

The paper proposes a new method to estimate correlation of account level Basle II Loss Given Default (LGD). The correlation determines the probability distribution of portfolio level LGD in the context of a copula model which is used to stress the LGD parameter as well as to estimate the LGD...

The paper proposes an application of the survival time analysis methodology to estimations of the Loss Given Default (LGD) parameter. The main advantage of the survival analysis approach compared to classical regression methods is that it allows exploiting partial recovery data. The model is...

The recent financial crisis emphasised the need for effective financial stability analyses and tools for detecting systemic risk. This paper looks at assessment of banking sector resilience through stress testing. We argue such analyses are valuable even in emerging economies that suffer from...

The 2008/2009 global crisis highlighted the vulnerabilities and inter-dependencies in the financial system including the global over-the-counter (OTC) derivatives markets, where significant counterparty credit risk prevails. In this paper, we deal with risk under Basel III banking regulation and...