Regression Discontinuity and the Price Effects of Stock Market Indexing

Working Paper: NBER ID: w19290

Authors: Yencheng Chang; Harrison Hong; Inessa Liskovich

Abstract: Studies find price increases for additions to the S&P 500 index but no decreases for deletions. Additions come with good earnings news, suggesting these studies are not just measuring an indexing effect. We develop a regression discontinuity design using Russell Indices for cleaner identification. Stocks are assigned to indices based on their end-of-May market capitalizations. Stocks ranked just below 1000 are in the Russell 2000. The indices are value-weighted so these stocks receive index buying whereas those just above 1000 have close to none. Using this random assignment, we find price effects for both additions and deletions.

Keywords: Stock Market Indexing; Regression Discontinuity; Price Effects

JEL Codes: G02; G12


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
Stocks added to the Russell 2000 (G19)Price increase in June (E30)
Stocks deleted from the Russell 2000 (G12)Price decrease (D49)
Forced buying by index funds (G23)Price increase in June (E30)
Index membership crossing (C43)Price effects due to forced buying (D41)

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