Can the Market Multiply and Divide Nonproportional Thinking in Financial Markets?

Working Paper: NBER ID: w25751

Authors: Kelly Shue; Richard R. Townsend

Abstract: Nominal stock prices are arbitrary. Therefore, when evaluating how a piece of news should affect the price of a stock, rational investors should think in percentage rather than dollar terms. However, dollar price changes are ubiquitously reported and discussed. This may both cause and reflect a tendency of investors to think about the impact of news in dollar terms, leading to more extreme return responses to news for lower-priced stocks. We find a number of results consistent with such non-proportional thinking. First, lower-priced stocks have higher total volatility, idiosyncratic volatility, and market betas, after controlling flexibly for size. To identify a causal effect of price, we show that volatility increases sharply following pre-announced stock splits and drops following reverse stock splits. The returns of lower-priced stocks also respond more strongly to firm-specific news events, all else equal. The economic magnitudes are large: a doubling in a stock's nominal price is associated with a 20-30% decline in its volatility, beta, and return response to firm-specific news. These patterns are not exclusive to small, illiquid stocks; they hold even among the largest stocks. Non-proportional thinking can explain a variety of asset pricing anomalies such as long-run and short-run reversals, as well as the negative relation between past returns and volatility (i.e., the leverage effect). Our analysis also shows that the well-documented negative relation between risk (volatility or beta) and size is actually driven by nominal prices rather than fundamentals.

Keywords: No keywords provided

JEL Codes: D03; D9; G02; G12; G14; G4; G41


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
nominal price (P22)total volatility (C58)
nominal price (P22)idiosyncratic volatility (G19)
nominal price (P22)market beta (G10)
nominal price (P22)return responses (Y60)
volatility (E32)past returns (G17)
nominal price (P22)leverage effect (G41)
stock splits (G35)volatility (E32)
reverse stock splits (G34)volatility (E32)

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