Objective research to aid investing decisions

Value Investing Strategy (Strategy Overview)

Allocations for December 2024 (Final)
Cash TLT LQD SPY

Momentum Investing Strategy (Strategy Overview)

Allocations for December 2024 (Final)
1st ETF 2nd ETF 3rd ETF

Technically, It Pays to Think Small

| | Posted in: Size Effect, Technical Trading

In a March 2005 update of his paper entitled “Simple Technical Trading Strategies: Returns, Risk and Size”, Satyajit Chandrashekar investigates the effectiveness of simple moving average technical trading strategies across ten market capitalization size deciles for the period 1963-2002. He finds that:

The author tests returns from a simple trading strategy using crossovers of short and long-term moving averages. A cover and buy signal results when the short term moving average (lengths 1, 2 or 5 days) crosses over a 1% band around the long term moving average (lengths 200, 150 or 50 days). A sell and go short (on uptick) signal results when the short term moving average crosses under the 1% band around the long term moving average. The 1% band reduces trading whiplash.

  • The tested technical trading strategy produces average risk-adjusted excess returns of 1.7% per month for small capitalization stocks, including transaction costs.
  • In general, the larger the capitalization, the smaller the excess returns from technical trading.
  • For large capitalization stocks, the technical trading strategy does not beat a buy-and-hold strategy.
  • The technical trading strategy is more profitable in the first half of the 40-year period examined, implying that markets have become more efficient over time.

In summary, a trading strategy based on simple moving averages is most appropriate for small capitalization stocks. More elaborate and complicated technical trading rules might generate larger returns than demonstrated in the study.

Login
Daily Email Updates
Filter Research
  • Research Categories (select one or more)