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Forecasting quality of professionals: Does affiliation matter?

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  • Veress, Aron
  • Kaiser, Lars

Abstract

Economists fulfilling a public mission – namely academics, Fed and government employees – demonstrate a tendency towards being pessimistic, whereas bankers in general are overly optimistic about future stock market developments. We show that these characteristics are of particular relevance and statistically significant during economic recessions and stock market downturns. Whilst investment bankers have always shown a tendency towards being optimistic, other affiliations are increasingly following their footsteps and most dominantly so for short-term forecasts. Especially during the most recent crises, their expectations of fast rebounds remained largely unsatisfied, questioning the applicability of economists’ forecasts as we move forward.

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  • Veress, Aron & Kaiser, Lars, 2017. "Forecasting quality of professionals: Does affiliation matter?," The Quarterly Review of Economics and Finance, Elsevier, vol. 66(C), pages 159-168.
    • Handle: RePEc:eee:quaeco:v:66:y:2017:i:c:p:159-168
    DOI: 10.1016/j.qref.2017.01.008
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    1. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
    2. Graham Elliott & Allan Timmermann & Ivana Komunjer, 2005. "Estimation and Testing of Forecast Rationality under Flexible Loss," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(4), pages 1107-1125.
    3. Kandel, Shmuel & Stambaugh, Robert F, 1996. "On the Predictability of Stock Returns: An Asset-Allocation Perspective," Journal of Finance, American Finance Association, vol. 51(2), pages 385-424, June.
    4. repec:bla:jfinan:v:44:y:1989:i:5:p:1177-89 is not listed on IDEAS
    5. Graham Elliott & Ivana Komunjer & Allan Timmermann, 2008. "Biases in Macroeconomic Forecasts: Irrationality or Asymmetric Loss?," Journal of the European Economic Association, MIT Press, vol. 6(1), pages 122-157, March.
    6. Bacchetta, Philippe & Mertens, Elmar & van Wincoop, Eric, 2009. "Predictability in financial markets: What do survey expectations tell us?," Journal of International Money and Finance, Elsevier, vol. 28(3), pages 406-426, April.
    7. Pesaran, M Hashem & Timmermann, Allan, 1992. "A Simple Nonparametric Test of Predictive Performance," Journal of Business & Economic Statistics, American Statistical Association, vol. 10(4), pages 561-565, October.
    8. Diebold, Francis X & Mariano, Roberto S, 2002. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 134-144, January.
    9. Lakonishok, Josef, 1980. "Stock Market Return Expectations: Some General Properties," Journal of Finance, American Finance Association, vol. 35(4), pages 921-931, September.
    10. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    11. Werner F. M. De Bondt & William P. Forbes*, 1999. "Herding in analyst earnings forecasts: evidence from the United Kingdom," European Financial Management, European Financial Management Association, vol. 5(2), pages 143-163, July.
    12. Brad Barber & Reuven Lehavy & Maureen McNichols & Brett Trueman, 2001. "Can Investors Profit from the Prophets? Security Analyst Recommendations and Stock Returns," Journal of Finance, American Finance Association, vol. 56(2), pages 531-563, April.
    13. Ivkovic, Zoran & Jegadeesh, Narasimhan, 2004. "The timing and value of forecast and recommendation revisions," Journal of Financial Economics, Elsevier, vol. 73(3), pages 433-463, September.
    14. Womack, Kent L, 1996. "Do Brokerage Analysts' Recommendations Have Investment Value?," Journal of Finance, American Finance Association, vol. 51(1), pages 137-167, March.
    15. Dean Croushore, 1997. "The Livingston Survey: still useful after all these years," Business Review, Federal Reserve Bank of Philadelphia, issue Mar, pages 15-27.
    16. Brown, Bryan W & Maital, Shlomo, 1981. "What Do Economists Know? An Empirical Study of Experts' Expectations," Econometrica, Econometric Society, vol. 49(2), pages 491-504, March.
    17. Harrison Hong & Jeffrey D. Kubik & Amit Solomon, 2000. "Security Analysts' Career Concerns and Herding of Earnings Forecasts," RAND Journal of Economics, The RAND Corporation, vol. 31(1), pages 121-144, Spring.
    18. John Y. Campbell & Samuel B. Thompson, 2008. "Predicting Excess Stock Returns Out of Sample: Can Anything Beat the Historical Average?," The Review of Financial Studies, Society for Financial Studies, vol. 21(4), pages 1509-1531, July.
    19. Jacob, John & Lys, Thomas Z. & Neale, Margaret A., 1999. "Expertise in forecasting performance of security analysts," Journal of Accounting and Economics, Elsevier, vol. 28(1), pages 51-82, November.
    20. Pearce, Douglas K, 1984. "An Empirical Analysis of Expected Stock Price Movements," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 16(3), pages 317-327, August.
    21. Dokko, Yoon & Edelstein, Robert H, 1989. "How Well Do Economists Forecast Stock Market Prices? A Study of the Livingston Surveys," American Economic Review, American Economic Association, vol. 79(4), pages 865-871, September.
    22. Harvey, David & Leybourne, Stephen & Newbold, Paul, 1997. "Testing the equality of prediction mean squared errors," International Journal of Forecasting, Elsevier, vol. 13(2), pages 281-291, June.
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    Cited by:

    1. Benchimol, Jonathan & El-Shagi, Makram & Saadon, Yossi, 2022. "Do expert experience and characteristics affect inflation forecasts?," Journal of Economic Behavior & Organization, Elsevier, vol. 201(C), pages 205-226.

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