I have started reading about HMM it gives an intuitive idea about what HMM is all about. I am looking out for example where its applied to Equity model using R / Excel. The material which I read so far is about its application to speech recognition.
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Systematic Investor also did a two part series implementation in R which is also quite helpful as he details the pitfalls too. Post One: http://systematicinvestor.wordpress.com/2012/11/01/regime-detection/ Part Two: http://systematicinvestor.wordpress.com/2012/11/15/regime-detection-pitfalls/ |
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Have a look at the following two papers, one from Chris Rogers and Liang Zhang where they introduce a model using HMM which captures stylized facts of financial returns. And the second where we extended this model to risk measures. Implementation in R is strait forward using ML as mentioned in the paper. |
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The clearest and most intuitive article I have seen so far is It not only shows how you can use HMM for financial modelling but it also goes through the actual estimation algorithm (Baum-Welch) step-by-step and even gives full MATLAB-code. From the abstract:
I brought the paper to the attention of the renowned blog Quantivity and they started a series on reproducing the results in R: Here. (I am not aware of a freely accessible copy of the paper - if you find one, please include it in a comment - I will change the answer accordingly.) For your own experiments with HMM in R you can use the RHmm package. |
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