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From |
Christopher F Baum <baum@bc.edu> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
st: Re: mvsumm with missing obs |

Date |
Thu, 12 Aug 2004 08:45:22 -0400 |

On Aug 12, 2004, at 2:33 AM, Jan wrote:

thanks you for your prompt responses. I understand your concern. However, I amA reasonable approach would be to fill in the series with some form of interpolation where you have missing observations in the middle of the series. I don't quite understand how one can have one missing return observation, since a return is a log price relative, and the prices needed to estimate the missing observation will be used to compute the prior and subsequent observations. But if for some reason you do not have the original data available, then interpolation might be a sensible option.

applying -mvsumm- in a finance setting: I need to estimate the volatility of

stock returns using the preceding 60 months of returns. Sometimes, I have just

1 observation missing... and as long as this observation is part of the

preceding 60 months, I get no estimate of the volatility for that company's

stock (i.e. I lose 60 observations by insisting on a complete history). I am

willing to make the tradeoff between gaining 60 observations at the cost of a

slightly less reliable measure of volatility.

In your answer you suggested to clone and reprogram your original -mvsumm-. I am

not a programming whiz - do you have any pointers?

This is a common procedure in finance - I think you may underestimate the demand

for such a feature in -mvsumm- ;-)

Thanks a lot!! Jan

Kit

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