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Financial Time Series Analysis

创建日期：2024-07-20 17:18:23

所属分类：金融Finance

标签： Financial

Financial Time Series Analysis

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Financial Time Series Analysis Homework 1

where {at} ∼ W N (0, σ2), in which ‘WN’ means white noise.Whatis the unconditional mean and unconditional variance of the series {Xt}？

Due on November 3th before class

1.Consider the following set ofdata:

{23.32 32.33 32.88 28.98 33.16 26.33 29.88

32.69 18.98 21.23 26.66 29.89}

Question: Calculate the lag-k sample autocorrelation of the time series for k = 1, 2, 3.

2.Consider the following MA(1)model

Xt = at + αat−1,

where {at} ∼ W N (0, σ2), in which ‘WN’ means white noise.

Whatis the unconditional mean and unconditional variance of the series {Xt}?
What is the covariance and correlation between {Xt} and{Xt−1}?

3.Findthe ACF ρk for k = 0, 1, 2 and 3 for each of the following models:

(a) rt − 0.5rt−1 = at,

(b) rt − 1.3rt−1 + 0.4rt−2 = at.

For eachcase, briefly show whether Xt is a stationary If so, find its mean function µ and autocovariance functions γj for any j. at is

i.i.d. N (0, 1).

(a)rt= at − at−3,

(b)rt= t + at,

(c)rt= a2.

5.Verify whether or not each of the following models is stationaryand

/or invertible:

(a) (1 − 0.8B)rt = (1 − 0.5B)at,

(b) (1 − 0.6B)rt = (1 − 1.2B + 0.2B2)at.

Foreach of the following models,

(a) (1 − 0.9B)(rt − 10) = at,

(b) rt = 10 − 0.9at−1 + at,

where at ∼ N (0, σ2) with σ2 = 2. Given r1 = 1.2 and r2 = 0.1, find the

l−step ahead forecast values and 95% forecast intervals for l = 1, 2, 3, 4.

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