Rotation: an index of all things tactical assets allocation...
Rotate What? - (3/18/10)Just the basic intro and definitions of an asset rotation based system.Asset Allocation - (3/25/10)Introducing some of the basics of Tactical Asset Allocation...Specifically the three main ways of asset allocation that are evidenced based:
- Momentum
- Moving Average
- Yield Curve
The Model: Framework - (5/10/10)
The basic frame work on how we are going to move toward discoving our ultimate model:
- How do we measure momentum?
What time period of data do we use to measure momentum?
How often do we rebalance the portfolio?
On what day of the month (week/year) do we rebalance the portfolio?
What universe of securities should we use?
Can we go both long and short?
Should we use a skip month/period?
What can we do to further maximize the model?Momentum Evidence 1.1 - (4/1/10)#1: Summary of the concept of Momentum: “The Case for Momentum Investing” (Moskowitz), including a very convincing summary graph of out-performance by high momentum stocks.#2: Review of “Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency” It shows:
- Trading strategies that buy past winners and sell past losers realize significant abnormal returns over 1965 to 1989 period.
- The tested momentum strategy realizes a compounded excess return of 12.01% per year.
Momentum Evidence 1.2 - (4/9/10)#3: Review of “Profitability of Momentum Strategies: An Evaluation of Alternative Explanations.” This paper shows:
- Momentum profits have continued in the 1990's
- Momentum cannot be explained by other phenomena (such as size, liquidity, etc)
#4: Review of “Dissecting Anomalies.” (by Fama). This paper shows:
- Momentum (and net stock issuance) exhibit the strongest average regressions across all size groups.
- Momentum is one of the few effects that has withstood the test of time
- Momentum cannot be captured by their three factor model
Momentum Evidence 1.3 - (4/12/10)#5: Review of “Momentum Profits, Non-Normality Risks and the Business Cycle.” This paper shows:
- Momentum profits are not normally distributed
- Abnormal profits are pervasive across nine momentum trading strategies
- Standard deviation is also smaller for past winners/momentum
#6: Review of “Momentum Profits, Factor Pricing, and Macroeconomic Risk.” This paper shows:
- Average winner-minus-loser (momentum) has excess return of 0.85% per month.
- Winners have temporarily higher average future growth rates of dividends, capital investment and sales
Momentum Evidence 1.4 - (4/20/10)
#7: Review of “Momentum Strategies in Commodities Futures Markets.” This paper shows:
- Momentum exists in commodity futures, with the average momentum strategy yielding 9.38% and the most profitable strategy yielding about 15%
- Momentum is persistent across time
- Momentum strategies effectively use backwardation and contagion
- Correlations between stock/bond momentum strategies and commodity momentum strategies are low
Momentum Evidence 1.5 - (5/03/10)
#8: Review of “Relative Strength Strategies for Investing.” This paper shows (among many things):
- This paper uses 80 years of data in 10 US equity sectors
- This type of momentum strategy outperforms buy-and-hold in over 70% of the years
- Increased Sharpe ratios in every case (each of the ranking/holding periods tested)
- Decreased draw-downs and increased total return
- Average out-performance of 3.25% to 5.5% over buy-and-hold