Objective research to aid investing decisions
Value Allocations for May 2019 (Final)
Momentum Allocations for May 2019 (Final)
1st ETF 2nd ETF 3rd ETF

Exploitability of Deep Value across Asset Classes

Posted in Bonds, Commodity Futures, Currency Trading, Equity Premium, Fundamental Valuation

Is value investing particularly profitable when the price spread between cheap and expensive assets (the value spread) is extremely large (deep value)? In their November 2017 paper entitled "Deep Value", Clifford Asness, John Liew, Lasse Pedersen and Ashwin Thapar examine how the performance of value investing changes when the value spread is in its largest fifth (quintile). They consider value spreads for seven asset classes: individual stocks within each of four global regions (U.S., UK, continental Europe and Japan); equity index futures globally; currencies globally; and, bond futures globally. Their measures for value are:

  • Individual stocks - book value-to-market capitalization ratio (B/P).
  • Equity index futures - index-level B/P, aggregated using index weights.
  • Currencies - real exchange rate based on purchasing power parity.
  • Bonds - real bond yield (nominal bond yield minus forecasted inflation).

For each of the seven broad asset classes, they each month rank assets by value. They then for each class form a hedge portfolio that is long (short) the third of assets that are cheapest (most expensive). For stocks and equity indexes, they weight portfolio assets by market capitalization. For currencies and bond futures, they weight equally. To create more deep value episodes, they construct 515 sub-classes from the seven broad asset classes. For asset sub-classes, they use hedge portfolios when there are many assets (272 strategies) and pairs trading when there are few (243 strategies). They conduct both in-sample and out-of-sample deep value tests, the latter buying value when the value spread is within its top inception-to-date quintile and selling value when the value spread reverts to its inception-to-date median. Using data as specified and as available (starting as early as January 1926 for U.S. stocks and as late as January 1988 for continental Europe stocks) through September 2015, 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
Research Categories
Recent Research
Popular Posts