Hi there,
I currently have 575 monthly observations of the FTSE All Share Price dating back to 1965, along with corresponding dividend yeilds and dividend index.
I wish to use long horizon regression analysis to test the predictability of the stock market.
I would like to regress real returns on lagged returns but I'm not sure how to go about this.
Any advice whatsoever would be greatly appreciated as I know research using long horizon regression has not been conducted for many years.
Thanks
Tom
Stock Market Predictability
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startz
- Non-normality and collinearity are NOT problems!
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Re: Stock Market Predictability
Something like
ls log(p)-log(p(-12)) c x(-120)
To regress the one year return on x ten years earlier.
ls log(p)-log(p(-12)) c x(-120)
To regress the one year return on x ten years earlier.
Re: Stock Market Predictability
I'm terribly sorry that I'm such a eviews newbie, so would 'p' be my series of the monthly stock market prices? and what would X be here?
Thank you once again for your first reply and thanks in advance for any more help.
Tom
Thank you once again for your first reply and thanks in advance for any more help.
Tom
-
startz
- Non-normality and collinearity are NOT problems!
- Posts: 3798
- Joined: Wed Sep 17, 2008 2:25 pm
Re: Stock Market Predictability
p would be the price. "x" would be whatever variable you are using to explain returns.
Re: Stock Market Predictability
I just want to thank you very much for your fast and extremely helpful replies.
I will no doubt be back asking more questions in the not so distant future and I just want you to know that your help is very valuable and appreciated.
Thanks
Tom
I will no doubt be back asking more questions in the not so distant future and I just want you to know that your help is very valuable and appreciated.
Thanks
Tom
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