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Trend following

Price Series Momentum Signals Contributed To Downside Pressure

On the last trading day of this month, the S&P 500 and SPY ETF ended below the 10-month and 12-month moving averages, contributing to the stock market’s sell-off.

The 10-month and 12-month moving averages are widely used momentum indicators. On the last day of April, both the S&P 500 and the SPY ETF closed below those two key moving averages. This might have accelerated the sell-off, as many momentum traders might have elected to rebalance their portfolios before the market closed and also before the open of the next month.

This is a hypothesis, but it’s a reasonable one given how popular the indicators mentioned above are. Below is the monthly SPY ETF chart with the two moving averages, the 10-month and 12-month.

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A backtest of the price series long-only momentum strategy that goes long at the next monthly open when the price is above the 12-month moving average and exits at the next monthly open when the price falls below the average reveals the following yearly performance.

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Note the large year-to-date loss when compared to previous yearly losses. However, we don’t know yet the actual performance for the year, and this loss may reflect a drawdown. The drawdown profile of this price series momentum strategy is shown below.

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The drawdown profile is calculated based on daily prices rather than monthly, as in many financial blogs or even academic papers.

The average drawdown has been -5.1%. One standard deviation is at -10.2% and two standard deviations are at -15.3%. The current drawdown is -13.5% and the historical maximum is -23%.

The price series momentum strategy based on the 12-month moving average has been relatively robust in delivering higher risk-adjusted returns over the years. In the case of the SPY ETF, Sharpe is 0.70 versus 0.53 for buying and holding the ETF since inception.

The main danger for a strategy like this is a prolonged sideways market, not a protracted downtrend. There have been several references to this risk in this blog. For example, see this article.

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