This document presents several Credit Risk tools which have been developed for the Credit Derivatives Risk Management. The models used in this context are suitable for the pricing, sensitivity/scenario analysis and the derivation of risk measures for plain vanilla credit default swaps (CDS),...

In this article, on the basis of the "cash flow at risk" approach, the system of the integrated (credit, market, operational and liquidity risks) risk management in a market-maker commercial bank is developed. This system guarantees reaching profitability, liquidity and coverage of banking risks...

These lecture notes are about financial innovations. We ask why are there some innovation and how is an innovative idea realized. This forces us to consider practical and structural aspects (regulations, taxation, markets) as key drivers of innovations and also basic formal aspects in valuation....

This article presents a comprehensive framework for valuing financial instruments subject to credit risk and collateralization. In particular, we focus on the impact of default dependence on asset pricing, as correlated default risk is one of the most pervasive threats to financial markets. Some...

A new model for predicting the future expected cash flows from a loan is developed. It is based on a detailed analysis of the events of fulfilling, delinquency and default of each individual payment on the loan. The proposed model has significantly less uncertainty compared with the Markov chain...

Credit risk has been a worrying type of risk for financial managers. Fortunately, a recent market development –credit derivatives- has made the credit risk more manageable. The loan portfolio management has become more practicable than it used to be in the past. However, credit derivatives are...

This paper extends the Conditional Value-at-Risk approach of Adrian and Brunnermeier (2011) by allowing systemic risk structures subject to economic regime shifts, which are governed by a discrete, latent Markov process. This proposed Markov-Switching Conditional Value-at-Risk is more suitable...

Quantitative finance combines mathematical finance, financial statistics, financial econometrics and empirical finance to provide a solid quantitative foundation for the analysis of financial issues. The purpose of this special issue on “Recent developments in quantitative finance” is to...

Most of the assets on the balance sheet of typical banks are illiquid. This exposes banks to liquidity risk, which is one of the key risks for banks. Since the value of assets is determined by their risks, liquidity risk should be included in valuation. This paper develops a valuation framework...

To price bank’s assets correctly, it is important to know cost of funds. But funding cost calculation is complicated due to the fact that banks fund long term assets through short-term liabilities. As a result, assets with a given time to maturity are usually financed by several liabilities...