radu sebastian tunaru

The financial systems in most developed countries today build up a large amount of model risk on a daily basis. However, this is not particularly visible as the financial risk management agenda is still dominated by the subprime-liquidity crisis, the sovereign crises, and other major political events. Losses caused by model risk are hard to identify and even when they are internally identified, as such, they are most likely to be classified as normal losses due to market evolution.

Model Risk in Financial Markets: From Financial Engineering to Risk Management seeks to change the current perspective on model innovation, implementation and validation. This book presents a wide perspective on model risk related to financial markets, running the gamut from financial engineering to risk management, from financial mathematics to financial statistics. It combines theory and practice, both the classical and modern concepts being introduced for financial modelling. Quantitative finance is a relatively new area of research and much has been written on various directions of research and industry applications. In this book the reader gradually learns to develop a critical view on the fundamental theories and new models being proposed.

Contents:

• Introduction
• Fundamental Relationships
• Model Risk in Interest Rate Modelling
• Arbitrage Theory
• Derivatives Pricing Under Uncertainty
• Portfolio Selection Under Uncertainty
• Probability Pitfalls of Financial Calculus
• Model Risk in Risk Measures Calculations
• Parameter Estimation Risk
• Computational Problems
• Portfolio Selection Using Sharpe Ratio
• Bayesian Calibration for Low Frequency Data
• MCMC Estimation of Credit Risk Measures
• Last But Not Least. Can We Avoid the Next Big Systemic Financial Crisis?
• Notations for the Study of MLE for CIR Process

Readership: Graduate students, researchers, practitioners, senior managers in financial institutions and hedge-funds, regulators and risk managers, who are keen to understand the pitfalls of financial modelling, and also those who are looking for a career in model validation, product control and risk management functions.
Key Features:

• Some innovative results are presented for the first time
• Covers a wide range of models, results and applications in financial markets to demonstrate that model risk is generally spread