The Monte Carlo Simulation in Banks The Monte Carlo Simulation in Banks

The Monte Carlo Simulation in Banks

Simplified Example in MS Excel and Practical Approach in German Savings Banks

    • €16.99
    • €16.99

Publisher Description

This article deals with the actual status quo of measuring credit risk in the German banking sector. It defines the kinds of VaR approaches and discusses the basics and models for quantifying credit risk. The VaR tools used in the German banking sector to measure credit risk are analysed in a next step. Further, the complex character of the Monte Carlo approach is explained at the example of an Excel tool. The outlook of this article consists of a critical analysis of the efficiency in the context of the actual financial crisis in Germany.

The paper extends the basic aspects of three former publications of the author, published in the specialized banking magazine Bankpraktiker 07-08.2006, pp. 366 – 371, the Conference paper for the ESF Conference on 25.06. – 26.06.2008 in Brno, Czech Republic, pp. 325 – 333 and the ControllerMagazin 05.2009, pp. 84 – 92.

GENRE
Business & Personal Finance
RELEASED
2010
18 June
LANGUAGE
EN
English
LENGTH
29
Pages
PUBLISHER
GRIN Verlag
PROVIDER INFO
Open Publishing GmbH
SIZE
1.7
MB
Integrated Market and Credit Portfolio Models Integrated Market and Credit Portfolio Models
2008
Risk Management in Credit Portfolios Risk Management in Credit Portfolios
2010
Modelling Economic Capital Modelling Economic Capital
2022
The Oxford Handbook of Credit Derivatives The Oxford Handbook of Credit Derivatives
2013
Mathematical and Statistical Methods for Actuarial Sciences and Finance Mathematical and Statistical Methods for Actuarial Sciences and Finance
2017
Risk Assessment Risk Assessment
2008
Banking & Innovation 2024/2025 Banking & Innovation 2024/2025
2025
Banking & Innovation 2022/2023 Banking & Innovation 2022/2023
2023
Corporate Evaluation in the German Banking Sector Corporate Evaluation in the German Banking Sector
2007
Korrelationen in Extremsituationen Korrelationen in Extremsituationen
2011