Mathematics and Statistics for Financial Risk Management

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A01=Michael B. Miller
applying risk models
Author_Michael B. Miller
Bayes rule
Bayes' Law
Bayes' Theorem
Category=KFF
Category=PBT
Category=PBW
Cholesky
Cholesky decomposition
corporate risk managers
decay factors
developing risk models
distributions
drift diffusion
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eq_business-finance-law
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EWMA
Excel
Excel examples
expected value
financial engineers
financial risk management
financial risk manager
financial risk manager exam
financial risk managers
FRM
FRM exam
GARCH
hedging
interest rate models
jump diffusion
kurtosis
linear regression
mathematics and statistics for financial risk management
Michael B. Miller
Michael Miller
Mike Miller
mixture models
Monte Carlo
Monte Carlo simulation
optimal hedging
PCA
popular risk models
popular risk models used by practitioners
practitioner oriented
Principal Component Analysis
probability
quant
quantitative
quantitative techniques
random walks
regression
risk management
risk management mathematics
risk models
risk professionals
skewness
spreadsheet examples
statistical finance
statistical finance in risk management
value at risk
VaR

Product details

  • ISBN 9781118750292
  • Weight: 748g
  • Dimensions: 185 x 259mm
  • Publication Date: 07 Feb 2014
  • Publisher: John Wiley & Sons Inc
  • Publication City/Country: US
  • Product Form: Hardback
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Mathematics and Statistics for Financial Risk Management is a practical guide to modern financial risk management for both practitioners and academics.

Now in its second edition with more topics, more sample problems and more real world examples, this popular guide to financial risk management introduces readers to practical quantitative techniques for analyzing and managing financial risk.

In a concise and easy-to-read style, each chapter introduces a different topic in mathematics or statistics. As different techniques are introduced, sample problems and application sections demonstrate how these techniques can be applied to actual risk management problems. Exercises at the end of each chapter and the accompanying solutions at the end of the book allow readers to practice the techniques they are learning and monitor their progress. A companion Web site includes interactive Excel spreadsheet examples and templates.

Mathematics and Statistics for Financial Risk Management is an indispensable reference for today’s financial risk professional.

Michael B. Miller studied economics at the American University of Paris and the University of Oxford before starting a career in finance. He is currently the CEO of Northstar Risk Corp. Before that, he was the Chief Risk Officer of Tremblant Capital Group, and prior to that, Head of Quantitative Risk Management at Fortress Investment Group. Mr. Miller is also a certified FRM and an adjunct professor at Rutgers Business School.

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