Tactical Asset Allocation – September 2016

September was much like August ... it went up and down ... but with positive results for both strategies. We’ve had a good run from the late June swoon and the market deserved a rest. Both the US and Global Core strategies have maintained a broad market mix of large, mid and small cap stocks along with some fixed income and that has provided us with a low volatility portfolio. Global Core had success early in the year with small positions in precious metals but the same positions produced slightly negative results this summer.

The US Core Strategy returned +0.19% in September and 6.85% YTD

For the Year-To-Date:

  • Compound Annual Growth Rate is 9.23%,
  • Maximum Daily Drawdown 3.7%

For the past 12 months:

  • Compound Annual Growth Rate 5.96%
  • Maximum Daily Drawdown 3.7%

Average exposure by asset class for the past 12 months:

  • 30% Equity
  • 51% Fixed Income
  • 0% Alternative
  • 19% Cash

Full metrics for the past 9+- years are included in the Performance Tables.

The Global Core Strategy returned +.48% in September and 7.45% YTD.

For the Year-To-Date:

  • Compound Annual Growth Rate is 10.05%,
  • Maximum Daily Drawdown 2.7%

For the past 12 months:

  • Compound Annual Growth Rate 6.66%
  • Maximum Daily Drawdown 2.7%

Average exposure by asset class for the past 12 months:

  • 22% Equity
  • 47% Fixed Income
  • 6% Alternative
  • 25% Cash

Full metrics for the past 9+- years are included in the Performance Tables.

Global Satellite has been out of the market since December 1, 2014 due to Hostile market conditions. Global Core + Global Satellite, using 100% switching, shows a 16.38% Compound Annual Growth Rate and 13.7% Maximum Daily Drawdown since September 1, 2007.

My personal commitment to Global Core increased to 40% in September and our personal portfolios will be equal weight US Core and Global Core for October. Having spent 3+ months designing and testing Global Core, I can say that I think Global Core is especially well constructed for unknown future market conditions. It also pairs extremely well with Global Satellite. I may continue to shift my personal allocation more in favor of Global Core.

The Core Strategy Models look for longer trends and tell us how to position the portfolio for the month ahead. We rebalance it and forget it until the next rebalance. Is it perfect? No. But over the long term it does better than most humans and does so with very little effort and relatively small drawdowns.

 

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Compares performance of the Tactical Adaptive Strategies to the S&P 500 and Vanguard Balanced Index Fund

Supporting tables for Tactical Adaptive Global. S&P 500 (SPY) and Vanguard Balanced Index Fund (VBINX) can be found below

Our results tables are constructed for three full market cycles beginning in January 2000.

The Adaptive Global table shows backtested results through July 2018 followed by actual results. More information is available in the blog article: The TAAStrategies, A Short History.

The most recent market cycle covers January 2020 to date.

The second market cycle covers October 2007 through December 2019. The Adaptive Global and Adaptive Income strategies were developed using the first 10+- years of data from this cycle while the final years are actual.

The third market cycle covers January 2000 through September 2007. This market cycle was used to provide out of sample validation of strategy results from the second market cycle. The fact that the return and risk metrics for the third cycle are statistically comparable to those for the second cycle validates the process.

The fund baskets for our tactical strategies are constructed from indexed Exchange Traded Funds (ETFs) with just two exceptions, an Open End Fund and a Closed End Fund, both with long history. A number of the ETFs we use were not created until 2007+. In each case, we infill using predecessor Open End Funds (OEFs) for which the indexing and/or subclass is substantially similar to the ETF.

We have been asked if it is possible to extend backtests to the 1970’s. While a few publishers attempt this; we believe it is not possible to produce credible results for all but the most basic TAA strategies due to the lack of funds with substantially similar indexing and/or classification. Doing so would force me to stretch the term "substantial" far beyond my comfort level.

A blank month indicates that the strategy was in cash.

A Caveat

A 35+ year secular bull market in both equities and bonds began in 1982. The last cyclical bull market in equities (and to a lesser extent, bonds) began 10 years ago. Returns during these periods have been historically exceptional. Market returns for the next 10 years are highly unlikely to approach those of the past 10. In fact, there is at least some evidence that market returns have a high probability of being significantly lower and that bonds and equities (which have risen together) may actually begin working at cross purposes.

Investors should not use the statistics shown for our strategies to establish expectations of specific levels of returns or drawdowns. Investors should, however, appreciate that we believe the principles which underlie the Tactical Adaptive Global, Tactical Adaptive Income, and Tactical Adaptive Innovation Strategies are enduring enough to significantly outperform the market in the future, both in lowering risk and in improving returns.

Benchmark S&P 500 (SPY)

Benchmark Vanguard Balanced Index Fund (VBINX)

Compares performance of the Tactical Adaptive Strategies to the S&P 500 and Vanguard Balanced Index Fund

Supporting tables for Tactical Adaptive Income, S&P 500 (SPY) and Vanguard Balanced Index Fund (VBINX) can be found below

Our results tables are constructed for three full market cycles beginning in January 2000.

The Adaptive Income table shows backtested results through June 2019 followed by actual results. More information is available in the blog article: The TAAStrategies, A Short History.

The most recent market cycle covers January 2020 to date.

The second market cycle covers October 2007 through December 2019. The Adaptive Global and Adaptive Income strategies were developed using the first 10+- years of data from this cycle while the final years are actual.

The third market cycle covers January 2000 through September 2007. This market cycle was used to provide out of sample validation of strategy results from the second market cycle. The fact that the return and risk metrics for the third cycle are statistically comparable to those for the second cycle validates the process.

The fund baskets for our tactical strategies are constructed from indexed Exchange Traded Funds (ETFs) with just two exceptions, an Open End Fund and a Closed End Fund, both with long history. A number of the ETFs we use were not created until 2007+. In each case, we infill using predecessor Open End Funds (OEFs) for which the indexing and/or subclass is substantially similar to the ETF.

We have been asked if it is possible to extend backtests to the 1970’s. While a few publishers attempt this; we believe it is not possible to produce credible results for all but the most basic TAA strategies due to the lack of funds with substantially similar indexing and/or classification. Doing so would force me to stretch the term "substantial" far beyond my comfort level.

A blank month indicates that the strategy was in cash.

A Caveat

A 35+ year secular bull market in both equities and bonds began in 1982. The last cyclical bull market in equities (and to a lesser extent, bonds) began 10 years ago. Returns during these periods have been historically exceptional. Market returns for the next 10 years are highly unlikely to approach those of the past 10. In fact, there is at least some evidence that market returns have a high probability of being significantly lower and that bonds and equities (which have risen together) may actually begin working at cross purposes.

Investors should not use the statistics shown for our strategies to establish expectations of specific levels of returns or drawdowns. Investors should, however, appreciate that we believe the principles which underlie the Tactical Adaptive Global, Tactical Adaptive Income, and Tactical Adaptive Innovation Strategies are enduring enough to significantly outperform the market in the future, both in lowering risk and in improving returns.

Benchmark S&P 500 (SPY)

Benchmark Vanguard Balanced Index Fund (VBINX)

Compares performance of the Tactical Adaptive Strategies to the S&P 500 and Vanguard Balanced Index Fund

Supporting tables for Tactical Adaptive Innovation, S&P 500 (SPY) and Vanguard Balanced Index Fund (VBINX) can be found below

The Innovation ETFs used in the Innovation Strategy were not established until 2014-2015 so our history is limited.

There are no predecessor funds which are similar enough to use for infill.

The Adaptive Innovation table shows backtested results through June 2019 followed by actual results. More information is available in the blog article: The TAAStrategies, A Short History.

A blank month indicates that the strategy was in cash.

A Caveat

A 35+ year secular bull market in both equities and bonds began in 1982. The last cyclical bull market in equities (and to a lesser extent, bonds) began 10 years ago. Returns during these periods have been historically exceptional. Market returns for the next 10 years are highly unlikely to approach those of the past 10. In fact, there is at least some evidence that market returns have a high probability of being significantly lower and that bonds and equities (which have risen together) may actually begin working at cross purposes.

Investors should not use the statistics shown for our strategies to establish expectations of specific levels of returns or drawdowns. Investors should, however, appreciate that we believe the principles which underlie the Tactical Adaptive Global, Tactical Adaptive Income, and Tactical Adaptive Innovation Strategies are enduring enough to significantly outperform the market in the future, both in lowering risk and in improving returns.

Benchmark S&P 500 (SPY)

Benchmark Vanguard Balanced Index Fund (VBINX)