Volatility modeling

10 important questions on Volatility modeling

Is the nested model always the restricted model?

Yes

Explain the difference between unconditional and conditional volatility

Unconditional: volatility over the entire time period
conditional: volatility over a specific period

How do the EWMA model and JP Morgan's RiskMetrics model differ?

They dont! If you see different formulas, its because the EWMA model can be rewritten into the JP Morgan's RiskMetrics model
  • Higher grades + faster learning
  • Never study anything twice
  • 100% sure, 100% understanding
Discover Study Smart

What is the relevance of the GARCH (EWMA) models compared to the MA model?

MA model weighs the observations equally
EWMA & GARCH weights exponentially decline for past values.

Derive the unconditional volatility of the GARCH (1,1) model starting from: σ^2 = E[σt ]

See img

Provide a quick explanation of ML estimation

ML estimation identifies parameter values that give the highest probability of observing the actual data, given the distributional assumptions.

List the steps of ML parameter estimation for a GARCH model

See image

Which 2 tests do we use to assess an estimated GARCH model?

1. Likelihood ratio tests
2. Residual analysis

What is the difference between the Jarque-Bera test and the Ljung-Box test?

Jarque-Bera test --> testing for normality
Ljung-Box test --> testing for autocorrelation

What does it mean for volatility to be "deterministic"?

There is no uncertainty....???

The question on the page originate from the summary of the following study material:

  • A unique study and practice tool
  • Never study anything twice again
  • Get the grades you hope for
  • 100% sure, 100% understanding
Remember faster, study better. Scientifically proven.
Trustpilot Logo