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There are many methods an investor can use when it comes to speculating on a financial asset and the minority of people who make a decent income from investing will almost certainly have a set of rules to which they adhere. There are those that are less complex and those that are more and the use of quantitative finance is definitely one which requires some level of technical knowledge.

But these techniques are becoming more accessible to your average investor thanks to programming languages and mathematical software that allows complex data sets to be processed and relatively simple outputs delivered.



The quantitative finance code index is a new website that has been set up to bring together examples of code that can be used with certain softwares to take data on an asset, particularly derivatives, and produce simple information that can greatly aid the decisions of an investor, for instance, black scholes model implementation.

A program called matlab is one of the most popular software packages to use for this sort of financial calculation which is why it is no surprise that the matlab code for financial engineering category is the biggest on the site and still growing. The code samples provided will help teach you many aspects of quantitative finance from the basics right up to advanced manipulations such as quantile regression.

Another well populated category utilises Excel VB code in finance to enable Visual Basic to model various things such as the multi-period binomial case and the Rainbow option price.

So you see these complex and yet effective investment techniques are no longer reserved for investment houses in the city. Any investor can now learn to use quantitative research at a much higher level than before to make sense of chaotic systems such as stock markets and derivative markets.

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