Generalized Auto Regressive Conditional Heteroscedasticity
What is Generalized Auto Regressive Conditional Heteroscedasticity?
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GARCH is one member of a huge family of econometric models utilized to model time-varying variance. They are popular into quantitative finance since they can be used for forecasting and measuring volatility.
What is Volatility? Answer: It is annualized standard returns’ deviation.
Explain an example of Brownian motion, where it is used.
Explain Central Limit Theorem with an example of random variables.
Explain the term Value at Risk.
What is Crash (Platinum) hedging?
What is the significance of the term additional funds needed?
Determine the efficiency of Monte Carlo method.
When the quantitative finance is disrepute?
Discuss risk from the perspective of the CAPM (Capital Asset Pricing Model).
Explain how is exposed model risk of Delta hedging is reduced by static hedging.
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