I’ve created another blog that a few of my readers may be more interested in. The content on Natural Blogarithms will continue to be a mix of math, education and faith. I am moving my personal entries regarding family and parenting stuff over to a new blog. Check it out, if you are interested:
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Dr. Scott R. Franklin
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[...] I finally hacked it. (see previous post). During a road trip to watch the basketball teams play in OK City, I finally discovered the problem with the code where we were using a nonlinear optimizer to determine the optimal portifolio by minimizing a quantity called, “Value at Risk.” Basically, the problem boiled down the fact that the optimization algorithms require a deterministic result. We are using a gradient reduction technique to minimize the objective function. In essence, you take small steps in the direction of steepest descent, but our objective function involved a bootstrapping technique that appoximates the 1st (or k-th) percentile of portfolio returns. The appoximation was based on randomly sampling with replacement from the history of returns, then calculating the 1st (or k-th) percentile. Because of the randomness, a single choice of stock/fund distribution can produce a different Value at Risk in different iterations. With all that said, we can now correct the problem, Yeehaw! [...]