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- Table 1: Anomaly definitions and summary statistics Panel A: Definitions Variable Definition Publication ACC Accruals: the change in non-cash Sloan (1996) current assets minus the change in current liabilities all divided by total assets AG Asset growth: yearly percentage Cooper et al. (2008) change in total assets B/M Book-to-market ratio: book equity Fama and French (1992) over lagged market equity ISSUE Share issuance: change in number of Pontiff and Woodgate (2008) shares outstanding from 11 months ago PROFIT Profitability: earnings over book equity Fama and French (2006) R1 Return reversal: lagged 1 month return Jegadeesh (1990) R212 Momentum: 11 month cumulative return Jegadeesh and Titman (1993) to the start of previous month SIZE Firm size: market value of firm’s equity Banz (1981) TURN Stock turnover: trading volume Datar et al. (1998) over number of shares outstanding Panel B: Summary statistics Mean Median Std. Dev. Skew. Kurt.
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- Table 3: Univariate Fama-MacBeth regression coefficients Full sample Sub-sample I Sub-sample II 1990–2013 1990–2001 2002–2013 Constant FM Coef. Constant FM Coef. Constant FM Coef.
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- Table A.1: Univariate Fama-MacBeth regression coefficients Panel A: Fama and French (1993) three-factor risk adjustment Full sample Sub-sample I Sub-sample II 1990–2013 1990–2001 2002–2013 Constant FM Coef. Constant FM Coef. Constant FM Coef.
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- The full sample period of January 1990 to December 2013. The first sub-sample runs from January 1990 to December 2001. The second sub-sample runs from January 2002 to December 2013.
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Watanabe, Akiko, Yan Xu, Tong Yao, and Tong Yu, 2013, The asset growth effect: Insights from international equity markets, Journal of Financial Economics 108, 529– 563. Figure 1: The process of interpreting anomalies Anomaly Spurious Nonspurious Compensation for risk Inefficiency Unexploitable Exploitable This figure illustrates the process of investigating an anomaly’s economic significance. There are three stages. First, the anomaly may be a spurious result produced by data mining. Second, a non-spurious anomaly may compensate investors for bearing risk or it may indicate informational inefficiency. Third, an inefficiency may be exploitable and could generate abnormal returns or it could be unexploitable due to trading costs and more complex restrictions on investor behaviour.