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Financial Time Series. CS3. Financial Time Series. Outline. Discrete Time Series Analysis Continuous Time Series Analysis. Discrete Time Series Analysis. Comes from the same distribution. Auto-regressive model. ~. Moving Average Model. MA(1). Weighted Average of Shocks. Why?. ARMA.
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Outline • Discrete Time Series Analysis • Continuous Time Series Analysis
Comes from the same distribution
Moving Average Model MA(1) Weighted Average of Shocks Why?
ARMA • Combination of AR and MA
Learning the Parameters • Easy !!! just apply normal regression analysis techniques • However, there are sophisticated method like Partial Auto-correlation (PACF).
Non-stationary / Diverge US GDP
A Simple Technique to convert to Stationary Model c as ARMA(p,q)
Heteroscedasticity Robert Engle
Why? • Interest rate • Prices for options, shares and bonds changes continuously
Modeling Continuous Time Series W0 = 0 Wt is almost surely continuous
An example to estimate parameters is interest rate