Student T Fit

Looks at Student T distribution fit to the S&P 500 log return series.

This notebook uses same time-series of log returns for the S&P 500 as the MarketReturnDistribution notebook.  That notebook contains a number of plots which will not be shown again here.

Start ... Tuesday 3 January 1950

End ... Friday 25 October 2013

Unlike the stable distribution, the Student T distribution can fit a wide range of tail behavior, extending from very heavy tails to the normal tails as the parameter, ν → ∞.  The Student T tail behavior tends to occur more smoothly and more centrally, where as in the stable distribution as α → 2, the tail behavior appears abruptly further and further from the center of the distribution.  Below is the histogram, the smoothed empirical density and the Student T distribution fit for the series of log returns.  The fit is pretty good for the center of the distribution.

Graphics:Histogram Log Returns - Blue Empirical Density - Red Student T Distribution Fit - Green

The tail fit is also pretty good, with the tail exponent, α or ν, of 3.1 being closer to the actual tail behavior of the data.  This is a symmetric distribution so it cannot fit the tails separately; in this case the left tail has a better fit than the right tail (red).

Graphics:Log Log Distribution Function Student T Fit

Student Parameters, {μ, σ, ν}: {0.000465525, 0.00611689, 3.14011}



Financial Data Analysis Home



© Copyright 2013 Robert H. Rimmer, Jr.    Sun 27 Oct 2013

Spikey Created with Wolfram Mathematica 9.0