Lectures for Part II: Time Series Models in Finance

More documents

Recommendations

Info

2. Examples (cont) Properties of ARCH(1) process: 1. Strictly stationary solution if 0 < α 1
2. Examples (cont) Likelihood function: MaPhySto Workshop 9/04 13
Page 1 and 2: Nonlinear Time Series Modeling Part
Page 3 and 4: 1. Classification of White Noise As
Page 5 and 6: 2. Examples (1) All-pass processs.
Page 7 and 8: 2. Examples (cont) MaPhySto Worksho
Page 9 and 10: 2. Examples (cont) MaPhySto Worksho
Page 11: 2. Examples (cont) MaPhySto Worksho
Page 15 and 16: 2. Examples (cont) The sample ACF.
Page 17 and 18: MaPhySto Workshop 9/04 17
Page 19 and 20: Log returns for IBM 1/3/62-11/3/00
Page 21 and 22: ACF of squares for IBM (a) 1961-198
Page 23 and 24: Hill’s estimator of tail index Th
Page 25 and 26: Hill’s plot of tail index for IBM
Page 27 and 28: 4. ARCH and GARCH Models (cont) MaP
Page 37 and 38: 4. ARCH and GARCH Models (cont) i M
Page 41 and 42: 4. ARCH and GARCH Models (cont) SS
Page 49 and 50: Parameter Estimation for Finite-Var
Page 63 and 64:
MaPhySto Workshop 9/04 63
Page 65 and 66:
4. ARCH and GARCH Models (cont) MaP
Page 67 and 68:
5. Forecasting with GARCH (cont) Ma
Page 69 and 70:
7. Stochastic Volatility Models MaP
Page 71 and 72:
7. Stochastic Volatility Models (co
Page 73 and 74:
Page 75 and 76:
Page 77 and 78:
Page 79 and 80:
Page 81 and 82:
MaPhySto Workshop 9/04 81
Page 83 and 84:
8. Regular variation and applicatio
Page 85 and 86:
8.2 Regular variation — multivari
Page 87 and 88:
2. If X 1 = X 2 > 0, then X= (X 1 ,
Page 89 and 90:
8.3 Applications of multivariate re
Page 91 and 92:
8.4 Applications of theorem 1. Kest
Page 93 and 94:
8.4 Examples (cont) Example of ARCH
Page 95 and 96:
8.6 Extremes for GARCH and SV proce
Page 97 and 98:
8.6 Extremes for GARCH and SV proce
Page 99 and 100:
8.7 Summary of results for ACF of G
Page 101 and 102:
Sample ACF for Squares of GARCH (10
Page 103 and 104:
Example: Amazon returns May 16, 199
show all

Lectures for Part II: Time Series Models in Finance

Create successful ePaper yourself

Delete template?

Save as template?