Alliances and Return Predictability

/Alliances and Return Predictability

Alliances and Return Predictability

By | 2017-08-18T17:10:43+00:00 June 2nd, 2014|Research Insights|0 Comments

Alliances and Return Predictability

Abstract:

A trading strategy designed to exploit the information contained in the returns of alliance partners, yields economically and statistically significant returns. A long-short portfolio sorted on lagged returns of strategic alliance partners provides a return of 89 basis points per month that is robust to a number of specifications. Increased correlation in returns after the formation of alliances is driven by increased economic links and the increased probability of mergers amongst alliance partners. Investor inattention and limits to arbitrage may be the source of underreaction of a firm’s returns to that of its partners’.

Alpha Highlight:

Identify firms with alliances (described in paper – basically firms working together on a deal). Each month, sort firms based on the last month’s return for their alliance partners. Go long firms whose partners had high returns, and short firms whose partners had low returns.

Results by year:

figure 1

The results are hypothetical results and are NOT an indicator of future results and do NOT represent returns that any investor actually attained. Indexes are unmanaged, do not reflect management or trading fees, and one cannot invest directly in an index. Additional information regarding the construction of these results is available upon request.

 

However, the weighting matters (equal weight returns are much stronger than value weight returns).   Authors find results do not hold for largest firms (top quintile based on size – Panel B of Table III)

 

table 1

The results are hypothetical results and are NOT an indicator of future results and do NOT represent returns that any investor actually attained. Indexes are unmanaged, do not reflect management or trading fees, and one cannot invest directly in an index. Additional information regarding the construction of these results is available upon request.

 

From these results, there appears to be an underreaction to the performance of an alliance partner. However, as with most anomalies, this result does not hold for the largest firms.

Overall, an interesting idea, but may be difficult to implement – shorting small stocks can get hairy!


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About the Author:

Jack Vogel
Jack Vogel, Ph.D., conducts research in empirical asset pricing and behavioral finance, and is a co-author of DIY FINANCIAL ADVISOR: A Simple Solution to Build and Protect Your Wealth. His dissertation investigates how behavioral biases affect the value anomaly. His academic background includes experience as an instructor and research assistant at Drexel University in both the Finance and Mathematics departments, as well as a Finance instructor at Villanova University. Dr. Vogel is currently a Managing Member of Alpha Architect, LLC, an SEC-Registered Investment Advisor, where he heads the research department and serves as the Chief Financial Officer. He has a PhD in Finance and a MS in Mathematics from Drexel University, and graduated summa cum laude with a BS in Mathematics and Education from The University of Scranton.