Archives 2017

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Portfolio Factor Analysis

By analyzing your stock portfolio through the lens of Factor Contributions, you gain a deeper level of insight into where your returns are really coming from and whether or not you should increase exposure to specific Factors. This article explains how you can use Factor Analysis to improve the performance of your own portfolio.

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What is Factor Investing

Factor investing, sometimes referred to as smart beta, involves allocating certain percentages of your portfolio towards defined characteristics that have ideally been shown to produce excess market returns. Additionally, factor analysis can be used to determine if your portfolio has produced any alpha over and above known characteristics which can be attributed to investor skill and not to simple factor exposure.

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Efficient Frontier

The concept of an efficient frontier is a cornerstone of modern portfolio theory. It provides an excellent way to not only understand the relationship between the risk, return and correlation within a portfolio but also to visualize this data in an effort to optimize your portfolios performance.

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There are countless ways to quantify stock portfolio performance and risk characteristics. It is important to be able to compare your portfolio relative to a benchmark or against other portfolios. While it is impractical (and unnecessary) to understand every portfolio metric available, there are a few which are prolific throughout the professional investment industry and should be understood when analyzing portfolio performance.

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The minimum correlation algorithm is a relatively new asset allocation strategy. The strategy is robust in its design, applies solid diversification principles and performs well in relation to other asset allocation strategies.

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If you're planning on pair trading, it's important that you have at least a general understanding of the statistics that are used. This article gives an overview of some of the key statistics used in pair trading and what to look for when analyzing them.

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