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Pseudo Market Timing and Predictive Regressions

Author

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  • Malcolm P. Baker
  • Ryan Taliaferro
  • Jeffrey Wurgler

Abstract

A number of studies claim that aggregate managerial decision variables, such as aggregate equity issuance, have power to predict stock or bond market returns. Recent research argues that these results may be driven by an aggregate time-series version of Schultz's (2003) pseudo market timing bias. We use standard simulation techniques to estimate the size of the aggregate pseudo market timing bias for a variety of predictive regressions based on managerial decision variables. We find that the bias can explain only about one percent of the predictive power of the equity share in new issues, and that it is also much too small to overturn prior inferences about the predictive power of corporate investment plans, insider trading, dividend initiations, or the maturity of corporate debt issues.

Suggested Citation

  • Malcolm P. Baker & Ryan Taliaferro & Jeffrey Wurgler, 2004. "Pseudo Market Timing and Predictive Regressions," NBER Working Papers 10823, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:10823
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    References listed on IDEAS

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    Cited by:

    1. Evgeny Lyandres & Le Sun & Lu Zhang, 2005. "Investment-Based Underperformance Following Seasoned Equity Offerings," NBER Working Papers 11459, National Bureau of Economic Research, Inc.
    2. Jayetileke, Harshanie L. & Wang, You-Gan & Zhu, Min, 2021. "Predictive regression with p-lags and order-q autoregressive predictors," Journal of Empirical Finance, Elsevier, vol. 62(C), pages 282-293.
    3. Malcolm Baker & Richard S. Ruback & Jeffrey Wurgler, 2004. "Behavioral Corporate Finance: A Survey," NBER Working Papers 10863, National Bureau of Economic Research, Inc.
    4. Ivo Welch & Amit Goyal, 2008. "A Comprehensive Look at The Empirical Performance of Equity Premium Prediction," Review of Financial Studies, Society for Financial Studies, vol. 21(4), pages 1455-1508, July.

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    More about this item

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General

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