Conditional Value At Risk Excel
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Risk Management in Banks and Insurance Companies
This book shows how modern risk management in banks and insurance companies can be modeled in Excel and Matlab. Readers are provided with all the necessary knowledge and skills in a systematic and structured step-by-step manner. Apart from basic Excel knowledge, no previous knowledge is required. The textbook is divided into five parts. First, the reader learns the basics of analyzing and modeling market risks. Next, the authors introduce and explain the modeling of credit risks and operational risks are quantified by calibrating loss distributions based on expert estimates. Furthermore, individual risk measures are examined in more detail. In order to calculate a risk measure for an overall portfolio to determine the risk capital, the question of the aggregation method is discussed. There are various common concepts for this, which are examined in more detail in the last part of the book. The book is aimed at students of business administration with a focus on financial services. Accompanying the book, readers receive Excel spreadsheets as digital bonus material for practice and application.
Credit Risk Modeling using Excel and VBA
In today's increasingly competitive financial world, successful risk management, portfolio management, and financial structuring demand more than up-to-date financial know-how. They also call for quantitative expertise, including the ability to effectively apply mathematical modeling tools and techniques, in this case credit. Credit Risk Modeling using Excel and VBA with DVD provides practitioners with a hands on introduction to credit risk modeling. Instead of just presenting analytical methods it shows how to implement them using Excel and VBA, in addition to a detailed description in the text a DVD guides readers step by step through the implementation. The authors begin by showing how to use option theoretic and statistical models to estimate a borrowers default risk. The second half of the book is devoted to credit portfolio risk. The authors guide readers through the implementation of a credit risk model, show how portfolio models can be validated or used to access structured credit products like CDO’s. The final chapters address modeling issues associated with the new Basel Accord.
Corporate Risk Management
In times of crisis, risk management is more important than ever. In addition, companies are obliged to identify, quantify and aggregate risks as part of a risk management system. Legal and auditing standards have set the framework for doing so. This book uses a case study to show ‘step by step’ how risks can be analyzed and quantified with the help of Microsoft Excel. The book begins with the graphical representation of risks and the calculation of risk parameters such as the value at risk. It subsequently aggregates different risks into an overall risk using Monte Carlo simulation. Hedging risks is also explained, and how non-hedgeable risks can be integrated into a business plan. The assessment of extreme risks is also addressed, as is the modeling of volatilities. The book is aimed at students of business administration with a focus on finance.