Quantitative Risk Management

E945792

Quantitative Risk Management is an academic program focused on applying mathematical, statistical, and financial tools to measure, model, and manage risk in finance and related industries.

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Statements (49)

Predicate Object
instanceOf academic program
field of study
appliesTool econometrics
financial mathematics
mathematics
numerical methods
optimization
probability theory
simulation techniques
statistics
stochastic processes
coversTopic Monte Carlo simulation
backtesting of risk models
copula models
credit portfolio modeling
credit risk
credit scoring
default probability modeling
derivatives pricing
enterprise risk management
expected shortfall
extreme value theory
liquidity risk
loss distribution modeling
market risk
model risk
operational risk
portfolio risk management
regulatory capital
scenario analysis
securitization risk
stress testing
time series analysis
value-at-risk
focusesOn management of financial risk
measurement of financial risk
modeling of financial risk
goal improve risk-based decision making in finance
support regulatory compliance for financial institutions
relatedTo actuarial science
financial engineering
quantitative finance
usedInIndustry asset management
banking
corporate finance
energy trading
hedge funds
insurance
risk consulting

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Underwood International College offersProgram Quantitative Risk Management