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  • Garch model regression

    Hello,

    I am looking at logreturns of two different stock market indices in two countries and seeing if the weather (Cloud, temp, humidity, rain) affects the returns in two countries (two different indices). I am using daily data from 1993-2017.
    Therefore I have cross sectional timeseries data.
    One country's data is on top of the others and I identified it as cross sectional by using:

    bys country: gen time=_n
    xtset country time

    I have a few questions I would really appreciate help with

    1) Firstly, what does it mean to include a lagged variable, how would I choose it?
    2) How do i know whether to include a squared variable and again, how do i choose it?
    3) How do I test for how many GARCH lags to use?
    4) How do i look at volatility in a garch model?
    5) How can I include interactive factor(dummy) variables in the regression?
    6) Do i test the errors and residuals, and if so how?
    7) how do i test for serial correlation and what does this even show?
    8) as i have two regressions per country (pre shock and post shock), how would I show these results on one table?

    Please help, I would appreciate any help I am so lost and stuck. If it helps i can send you my data/do file somehow, but otherwise just instructions on which commands is something I would be eternally grateful for.

    THANK YOU SO MUCH

    I am so desperate lol x
    Last edited by selina gravette; 28 Feb 2019, 02:53.
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