In the post pairs trading issues one of the problems raised was the unstable estimates of the stock’s beta with respect to the market. Here is a suggestion for a possible solution, which is not really a solution but more … Continue reading →
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ARMA Models for Trading
In this tutorial I am going to share my R&D and trading experience using the well-known from statistics Autoregressive Moving Average Model (ARMA). There is a lot written about these models, however, I strongly recommend Introductory Time Series with R, which I find is a perfect combination between light theoretical background and practical implementations in
Adaptive Asset Allocation – Sensitivity Analysis
Today I want to continue with Adaptive Asset Allocation theme and examine how the strategy results are sensitive to look-back parameters used for momentum and volatility computations. I will follow the sample steps that were outlined by David Varadi on the robustness of parameters of the Adaptive Asset Allocation algorithm post. Please see my prior 
Adaptive Asset Allocation
Today I want to highlight a whitepaper about Adaptive Asset Allocation by Butler, Philbrick and Gordillo and the discussion by David Varadi on the robustness of parameters of the Adaptive Asset Allocation algorithm. In this post I will follow the steps of the Adaptive Asset Allocation paper, and in the next post I will show 
The New 60/40
I want to share a brilliant idea and a great example from the You’re Looking at the Wrong Number post at the GestaltU blog. Today, I will focus on the section of this post that outlines simple steps to improve a typical 60/40 stock/bond portfolio by using risk allocation instead of dollar allocation, and targeting 
Horizon Plots in Base Graphics
for background please see prior posts More on Horizon Charts, Application of Horizon Plots, Horizon Plot Already Available, and Cubism Horizon Charts in R There are three primary graphics routes in R (base graphics, lattice, and ggplot2), and each have...
How do you say “We Will Do Whatever It Takes” in Thai?
As the market has already started to poke holes in Draghi’s promise, I thought it would be good to continue the series of posts that I began with the British version “We Will Do Whatever it Takes” with my favorite article written during the Asia ...
Multidimensional Scaling and Company Similarity
Background and ideaOften we are looking at a particular sector, and want to get a quick overview of a group of companies relative to one another. I thought I might apply Multidimensional Scaling (MDS) to various financial ratios and see if it...
Volatility and Correlation
The implied option volatility reflects the price premium an option commands. A trader’s profit and loss ‘P&L’ from hedging option positions is driven to a large extend by the actual historical volatility of the underlying assets. Thus as option premiums … Continue reading →
Factor Attribution to improve performance of the 1-Month Reversal Strategy
Today I want to show how to use Factor Attribution to boost performance of the 1-Month Reversal Strategy. The Short-Term Residual Reversal by D. Blitz, J. Huij, S. Lansdorp, M. Verbeek (2011) paper presents the idea and discusses the results as applied to US stock market since 1929. To improve 1-Month Reversal Strategy performance authors 
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
