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Model Risk in Financial Markets:From Financial Engineering to Risk Management

Radu Tunaru
Additional contact information
Radu Tunaru: University of Kent, UK

in World Scientific Books from World Scientific Publishing Co. Pte. Ltd.

Abstract: 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.

Keywords: Model Risk; Risk Management; Financial Engineering; Financial Markets (search for similar items in EconPapers)
Date: 2015
ISBN: 9789814663403
References: Add references at CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
https://www.worldscientific.com/worldscibooks/10.1142/9524 (text/html)
Ebook Access is available upon purchase

Chapters in this book:

Ch 1 Introduction , pp 1-9 Downloads
Radu Tunaru
Ch 2 Fundamental Relationships , pp 11-19 Downloads
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Ch 3 Model Risk in Interest Rate Modelling , pp 21-53 Downloads
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Ch 4 Arbitrage Theory , pp 55-64 Downloads
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Ch 5 Derivatives Pricing Under Uncertainty , pp 65-114 Downloads
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Ch 6 Portfolio Selection under Uncertainty , pp 115-127 Downloads
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Ch 7 Probability Pitfalls of Financial Calculus , pp 129-155 Downloads
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Ch 8 Model Risk in Risk Measures Calculations , pp 157-204 Downloads
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Ch 9 Parameter Estimation Risk , pp 205-226 Downloads
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Ch 10 Computational Problems , pp 227-255 Downloads
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Ch 11 Portfolio Selection Using the Sharpe Ratio , pp 257-261 Downloads
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Ch 12 Bayesian Calibration for Low Frequency Data , pp 263-281 Downloads
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Ch 13 MCMC Estimation of Credit Risk Measures , pp 283-320 Downloads
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Ch 14 Last But Not Least. Can We Avoid the Next Big Systemic Financial Crisis? , pp 321-327 Downloads
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Ch 15 Notations for the Study of MLE for CIR process , pp 329-330 Downloads
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