New evidence of anti-herding of oil-price forecasters
We used the oil-price forecasts of the Survey of Professional Forecasters published by the European Central Bank to analyze whether oil-price forecasters herd or anti-herd. Oil-price forecasts are consistent with herding (anti-herding) of forecasters if forecasts are biased towards (away from) the consensus forecast. Based on a new empirical test developed by Bernhardt et al. (J. Financ. Econ. 80: 657-675, 2006), we found strong evidence of anti-herding among oil-price forecasters.
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- Lukas Menkhoff & Rafael R. Rebitzky & Michael Schröder, 2008.
"Heterogeneity in Exchange Rate Expectations: Evidence on the Chartist-Fundamentalist Approach,"
CESifo Working Paper Series
2502, CESifo Group Munich.
- Menkhoff, Lukas & Rebitzky, Rafael R. & Schröder, Michael, 2009. "Heterogeneity in exchange rate expectations: Evidence on the chartist-fundamentalist approach," Journal of Economic Behavior & Organization, Elsevier, vol. 70(1-2), pages 241-252, May.
- Lamont, Owen A., 2002.
"Macroeconomic forecasts and microeconomic forecasters,"
Journal of Economic Behavior & Organization,
Elsevier, vol. 48(3), pages 265-280, July.
- Owen Lamont, 1995. "Macroeconomics Forecasts and Microeconomic Forecasters," NBER Working Papers 5284, National Bureau of Economic Research, Inc.
- Dan Bernhardt & Murillo Campbello & Edward Kutsoati, 2002.
Discussion Papers Series, Department of Economics, Tufts University
0213, Department of Economics, Tufts University.
- David Laster & Paul Bennett & In Sun Geoum, 1999. "Rational Bias in Macroeconomic Forecasts," The Quarterly Journal of Economics, Oxford University Press, vol. 114(1), pages 293-318.
- García, Juan Angel & Manzanares, Andrés, 2007. "Reporting biases and survey results: evidence from European professional forecasters," Working Paper Series 0836, European Central Bank.
- Batchelor, Roy A. & Dua, Pami, 1990. "Product differentiation in the economic forecasting industry," International Journal of Forecasting, Elsevier, vol. 6(3), pages 311-316, October.
- Marcel Naujoks & Kevin Aretz & Alexander Kerl & Andreas Walter, 2009. "Do German security analysts herd?," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 23(1), pages 3-29, March.
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