CTA Selection: Portfolio Construction Process

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After culling our list of CTAs to those whose returns, drawdowns and risk profile meet our investment goals and risk tolerance levels, Foss Mountain Capital will build a customized portfolio of CTAs diversified across trading strategies and markets.

Trading Strategies

CTAs use varying strategies and approaches to maximize their returns. Foss Mountain Capital will analyze CTAs′ methods and philosophies and determine which strategies will work best for each investor′s portfolio. An overview of CTA trading strategies is as follows:

Technical vs. Fundamental Trading Strategies View
Systematic Approach View
Discretionary Approach View
Trend-following Approach View
Non-Trend Following Approach View
Option Writing View
Reversal systems View

Trading Markets

Diversified vs. Non-Diversified Portfolios

CTAs who trade a diversified portfolio participate in a wide range of markets. Non-diversified traders usually participate in a market sector such as currencies, financials, metals, agriculturals, softs (sugar, cocoa, coffee), energies, meats, stock indexes and physicals.

Portfolios diversified across markets and trading styles helps to reduce risk. Portfolio size is one of the biggest constraints when selecting CTAs as many CTAs have large account minimum requirements.

Correlation

Our objective is to decrease risk without significantly reducing the potential for profit. An important component of diversification is correlation.

Correlation measures the way that two CTAs move in relationship to each other. Correlation is rated on a scale of -1 to +1, where -1 has the least correlation and +1 has the highest correlation. Two identical series of data that move an equal degree in the same direction have a correlation of +1. Adding two CTAs with a correlation of +1 will not reduce the volatility of the combined portfolios. Two series of data that move in the same degree in the opposite direction would have a correlation of -1. Adding two CTAs with a correlation of -1 will dampen the volatility but the end result will be of no benefit since the portfolio will not have a positive return.

The goal is to have a portfolio of CTAs where the series of data moves independently from each other. Choosing CTAs that have a low correlation to each other can reduce the volatility of the overall portfolio. This is based on the same premise as adding a managed futures allocation to a portfolio of traditional stocks and bonds. The effect of correlation is determined by the allocation balance.

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