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Falsifying Generalized Wiener Processes. Melvin J. Hinich. Applied Research Laboratories University of Texas at Austin. hinich@austin.utexas.edu. http://web.austin.utexas.edu/hinich/. Black-Scholes Model. The Black-Scholes-Merton model is a central tool for
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Falsifying Generalized Wiener Processes Melvin J. Hinich Applied Research Laboratories University of Texas at Austin hinich@austin.utexas.edu http://web.austin.utexas.edu/hinich/
Black-Scholes Model The Black-Scholes-Merton model is a central tool for pricing & hedging options & other derivatives securities. The model employs a Wiener process At present the derivatives business has become a more than 415 trillion US$ market. It has been implicated in the present world wide financial crisis. (portfolio.com/news-markets/national-news/portfolio/2008/02/19/)
Generalized Wiener process(GWP) bandlimited filter non-gaussian i.i.d variates fixed sampling rate
Bandlimited Filter Nyquist sampling rate
The generalized Wiener process (GWP) is linear It is time reversiblesince the distribution of is the same as the distribution of
The Trispectrum The principal domain of the trispectrum in the cube of indices where
Normalized trispectrum is the spectrum of For the linear process GWP
Trispectrum Based Tests of Linearity & Time Reversibility The trispectrum version of the Hinich-Rothman (1998) time reversibility test & the Hinich (1982) linearity test can be used falsify the validity of the GWP model. DFT
Estimating the Trispectrum Estimated normalized trispectrum
Testing Linearity of a GWP Under this null hypothesis that the observed values of are generated by a GWP when 0 < c < 1/3 Then has a uniform (0,1) distribution
Testing Time Reversibility of a GWP has a uniform (0,1) distribution
Time Reversibility Test Results All TR p-values are < e-05