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estimation of drift of continuous random walk

Thank you to Patrick Foley and Adrian Trapletti. Their compiled answer is:

a) fix model specification and regress
(Y(t+dt) - Y(t))/dt ~ X(t) // originally I forgot to devide by dt

b) use weighted regression with weights = 1/Var((Y(t+dt) - Y(t))/dt) = dt.

Thanks,
Vadim

-----Original Message-----
From: Patrick Foley [mailto:patfoley at csus.edu]
Sent: Thursday, July 19, 2001 8:40 PM
To: Vadim Ogranovich
Cc: r-help at stat.math.ethz.ch
Subject: Re: [R] estimation of drift of continuous random walk


Vadim,

If I understand you correctly, the maximum likelihood estimator for the
drift term
is

D =  (Y(T) -Y(0))/T

where you have data Y(t) t = 0 ... T and constant drift D and diffusion
coefficients.
Therefore if there is variable drift (but constant diffusion), one crude
estimate
of D(X) would be to use this in chunks  in your regression and then smooth
it at
the end. If you believe that D is a linear function of X then why not a
regression
of (Y(t +dt)-Y(t))/dt on X(t)?

Patrick Foley
patfoley at csus.edu
Vadim Ogranovich wrote:

            
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and
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