The October 30, 2015 AAR Strategy update is now available on the AAR Subscribers page. If you are not currently a subscriber and would like to learn more about the strategy, there is a detailed description on the AAR Strategy page.
The AAR strategy is a conservative, long-only, asset allocation strategy that rotates monthly among five large asset classes: large-cap U.S. stocks, developed country stocks in Europe and Asia, emerging market stocks, U.S. Treasury Notes, and commodities. The strategy was inspired by the Ivy League portfolio and uses trend and technical filters to reduce downside risk.
If none of the five candidates pass their respective trade filters, the AAR strategy remains in cash for the month. Stop-loss orders are used on every trade to control losses and to facilitate position sizing and risk management.
Brian Johnson
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Recession Model Forecast: 10-01-2015
The following article updates the diffusion index, recession slack index, aggregate recession model, and aggregate peak-trough model through September 2015. In January 2015, I created a new explanatory variable for a market-based indicator; I added two new explanatory variables in April and June 2015, and one more in September 2015. After adding a number of new economic and market-based variables recently with very strong explanatory power, I decided to cull three of the original independent variables with the weakest historical performance and most questionable cause and effect recessionary influence. The resulting 19-variable model has a very diverse set of explanatory variables and is very robust.
Each of the explanatory variables has predictive power individually; when combined together, the group of indicators is able to identify early recession warnings from a wide range of diverse market-based, fundamental, technical, and economic sources. After the latest additions and deletions, the total number of explanatory recession model variables is now 19. The current and historical data in this report reflect the current model configuration with all 19 variables. Continue reading →