Posts Tagged ‘ Portfolio Construction ’

Multiple Factor Model – Building 130/30 Index

March 5, 2012
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Multiple Factor Model – Building 130/30 Index

Nico brought to my attention the 130/30: The New Long-Only (2008) by A. Lo, P. Patel paper in his comment to the Multiple Factor Model – Building CSFB Factors post. This paper presents a very detailed step by step guide to building 130/30 Index using average CSFB Factors as the alpha model and MSCI Barra

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Portfolio Optimization – Why do we need a Risk Model

February 26, 2012
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Portfolio Optimization – Why do we need a Risk Model

In the last post, Multiple Factor Model – Building Risk Model, I have shown how to build a multiple factor risk model. In this post I want to explain why do we need a risk model and how it is used during portfolio construction process. The covariance matrix is used during the mean-variance portfolio optimization

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The top 7 portfolio optimization problems

January 5, 2012
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The top 7 portfolio optimization problems

Stumbling blocks on the trek from theory to practical optimization in fund management. Problem 1: portfolio optimization is too hard If you are using a spreadsheet, then this is indeed a problem. Spreadsheets are dangerous when given a complex task.  Portfolio optimization qualifies as complex in this context (complex in data requirements). If you are … Continue reading...

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Rotational Trading Strategies: borrowing ideas from Engineering Returns

December 19, 2011
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Rotational Trading Strategies: borrowing ideas from Engineering Returns

Frank Hassler at Engineering Returns blog wrote an excellent article Rotational Trading: how to reduce trades and improve returns. The article presents four methods to reduce trades: Trade less frequently. I.e. weekly instead of daily rebalancing. Different criteria for enter / exit a trade. Smooth the rank over the last couple of bars. Combination of

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Backtesting Rebalancing methods

December 15, 2011
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Backtesting Rebalancing methods

I wrote about Rebalancing in the Asset Allocation Process Summary post. Deciding how and when to rebalance (update the portfolio to the target mix) is one of the critical steps in the Asset Allocation Process. I want to study the portfolio performance and turnover for the following Rebalancing methods: Periodic Rebalancing: rebalance to the target

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Backtesting Minimum Variance portfolios

December 12, 2011
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Backtesting Minimum Variance portfolios

I want to show how to combine various risk measures I discussed while writing the series of posts about Asset Allocation with backtesting library in the Systematic Investor Toolbox. I will use Minimum Variance portfolio as an example for this post. I recommend reading a good discussion about Minimum Variance portfolios at Minimum Variance Sector

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Style Analysis

November 17, 2011
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Style Analysis

During the final stage of asset allocation process we have to decide how to implement our desired allocation. In many cases we will allocate capital to the mutual fund managers who will invest money according to their fund’s mandate. Usually there is no perfect relationship between asset classes and fund managers. To determine the true

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Black-Litterman Model

November 15, 2011
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Black-Litterman Model

The Black-Litterman Model was created by Fisher Black and Robert Litterman in 1992 to resolve shortcomings of traditional Markovitz mean-variance asset allocation model. It addresses following two items: Lack of diversification of portfolios on the mean-variance efficient frontier. Instability of portfolios on the mean-variance efficient frontier: small changes in the input assumptions often lead to

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Resampling and Shrinkage : Solutions to Instability of mean-variance efficient portfolios

November 11, 2011
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Resampling and Shrinkage : Solutions to Instability of mean-variance efficient portfolios

Small changes in the input assumptions often lead to very different efficient portfolios constructed with mean-variance optimization. I will discuss Resampling and Covariance Shrinkage Estimator – two common techniques to make portfolios in the mean-variance efficient frontier more diversified and immune to small changes in the input assumptions. Resampling was introduced by Michaud in Efficient

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Geometric Efficient Frontier

November 9, 2011
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Geometric Efficient Frontier

What is important for an investor? The rate of return is at the top of the list. Does the expected rate of return shown on the mean-variance efficient frontier paints the full picture? If investor’s investment horizon is longer than one period, for example 5 years, than the true measure of portfolio performance is Geometric

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