Abstract:I document a delisting bias in the stock return data base maintained by the Center for Research in Security Prices (CRSP). I find that delists for bankruptcy and other negative reasons are generally surprises and that correct delisting returns are not available for most of the stocks that have been delisted for negative reasons since 1962. Using over‐the‐counter price data, I show that the omitted delisting returns are large. Implications of the bias are discussed.
“…3 The delisting-return assumptions follow Shumway's (1997) results. Shumway tracks a sample of firms whose delisting returns are missing from CRSP and finds that performance-related delistings are associated with a significant negative return, on average approximately -30 %.…”
Section: Figure 2: Histogram Of Atypical Discountsmentioning
“…3 The delisting-return assumptions follow Shumway's (1997) results. Shumway tracks a sample of firms whose delisting returns are missing from CRSP and finds that performance-related delistings are associated with a significant negative return, on average approximately -30 %.…”
Section: Figure 2: Histogram Of Atypical Discountsmentioning
“…Monthly returns are adjusted for delisting following Shumway (1997). To be included in the analysis, we require a firm to have non-missing values for size and book-to-market equity (B/M), where Size is the most recent June-end market cap of the firm and B/M is computed according to Fama and French (2006).…”
Section: Stock Return and Idiosyncratic Volatility Datamentioning
We propose a simple methodology to evaluate a large number of potential explanations for the negative relation between idiosyncratic volatility and subsequent stock returns (the idiosyncratic volatility puzzle). We find that surprisingly many existing explanations explain less than 10% of the puzzle. On the other hand, explanations based on investors' lottery preferences, short-term return reversal, and earnings surprises show greater promise in explaining the puzzle. Together they account for 60-85% of the negative idiosyncratic volatility-return relation. Our methodology can be applied to evaluate competing explanations for a broad range of topics in asset pricing and corporate finance.
“…The existing literature often emphasizes the importance of treating delisting returns, especially in studies on market anomalies (Shumway, 1997;Beaver et al, 2007). Shumway (1997) finds that delisting returns are commonly missed by the CRSP database for stocks that are delisted due to performance-related reasons.…”
Section: Iv2 Measurement Of Returnsmentioning
confidence: 99%
“…However, such approach is obviously inappropriate because the consequences of a performance-related delisting are clearly different from a delisting due to merger or acquisition. Shumway (1997) suggests that for the US market, if a delisting return is missing, rather than excluding the stock, a replacement value of -30% should be used if the delisting is performance-related, or zero otherwise. To illustrate the important sensitivity of tests of market efficiency to the treatment of delisting returns, Shumway and Warther (1999 ) find that, among NASDAQ stocks, the size effect disappears if performance-related delisting returns are properly treated.…”
Abstract:The paper investigates investor's behaviour in the context of value-glamour investing and fundamental analysis, and provides a direct test of the confirmation bias by bringing together the evidence from several strands of literature into a well-defined framework of investor behaviour. The empirical evidence presented is in line with a model of investor's asymmetric reaction to good and bad news due to confirmation bias. Pessimistic value investors typically under-react to good financial information, but they process bad information rationally or over-confidently. On the contrary, glamour investors are often too optimistic to timely update prices following bad financial information, but they are likely to fairly price or even over-react when receiving good information.
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