Objective research to aid investing decisions
Menu
Value Allocations for December 2019 (Final)
Cash TLT LQD SPY
Momentum Allocations for December 2019 (Final)
1st ETF 2nd ETF 3rd ETF

Equity Factor Time Series Momentum

Posted in Equity Premium, Momentum Investing, Size Effect, Value Premium, Volatility Effects

In their July 2019 paper entitled "Momentum-Managed Equity Factors", Volker Flögel, Christian Schlag and Claudia Zunft test exploitation of positive first-order autocorrelation (time series, absolute or intrinsic momentum) in monthly excess returns of seven equity factor portfolios:

  1. Market (MKT).
  2. Size - small minus big market capitalizations (SMB).
  3. Value - high minus low book-to-market ratios (HML).
  4. Momentum - winners minus losers (WML)
  5. Investment - conservative minus aggressive (CMA).
  6. Operating profitability - robust minus weak (RMW).
  7. Volatility - stable minus volatile (SMV).

For factors 2-7, monthly returns derive from portfolios that are long (short) the value-weighted fifth of stocks with the highest (lowest) expected returns. In general, factor momentum timing means each month scaling investment in a factor from 0 to 1 according its how high its last-month excess return is relative to an inception-to-date window of past levels. They consider also two variations that smooth the simple timing signal to suppress the incremental trading that it drives. In assessing costs of this incremental trading, they assume (based on other papers) that realistic one-way trading frictions are in the range 0.1% to 0.5%. Using monthly data for a broad sample of U.S. common stocks during July 1963 through November 2014, they find that:

Please or subscribe to continue reading...
Gain access to hundreds of premium articles, our momentum strategy, full RSS feeds, and more!  Learn more

Daily Email Updates
Login
Research Categories
Recent Research
Popular Posts