New evidence of anti-herding of oil-price forecasters
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- Christian Pierdzioch & Jan-Christoph Rülke & Georg Stadtmann, 2010. "New Evidence of Anti-Herding of Oil-Price Forecasters," WHU Working Paper Series - Economics Group 10-04, WHU - Otto Beisheim School of Management.
References listed on IDEAS
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CitationsCitations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
- Atalla, Tarek & Joutz, Fred & Pierru, Axel, 2016. "Does disagreement among oil price forecasters reflect volatility? Evidence from the ECB surveys," International Journal of Forecasting, Elsevier, vol. 32(4), pages 1178-1192.
- Leppin, Julian Sebastian, 2014. "The relation between overreaction in forecasts and uncertainty: A nonlinear approachvon," HWWI Research Papers 158, Hamburg Institute of International Economics (HWWI).
- Pierdzioch, Christian & Rülke, Jan-Christoph & Stadtmann, Georg, 2011. "Forecasting U.S. car sales and car registrations in Japan: Rationality, accuracy and herding," Japan and the World Economy, Elsevier, vol. 23(4), pages 253-258.
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- Christian Pierdzioch & Jan-Christoph Rülke & Georg Stadtmann, 2012.
"Housing Starts in Canada, Japan, and the United States: Do Forecasters Herd?,"
The Journal of Real Estate Finance and Economics,
Springer, vol. 45(3), pages 754-773, October.
- Pierdzioch, Christian & Rülke, Jan Christoph & Stadtmann, Georg, 2012. "Housing starts in Canada, Japan, and the United States: Do forecasters herd?," Discussion Papers 320, European University Viadrina Frankfurt (Oder), Department of Business Administration and Economics.
- repec:eee:eneeco:v:65:y:2017:i:c:p:50-63 is not listed on IDEAS
- Christian Pierdzioch & Jan Christoph Rülke & Georg Stadtmann, 2012. "House Price Forecasts, Forecaster Herding, and the Recent Crisis," International Journal of Financial Studies, MDPI, Open Access Journal, vol. 1(1), pages 1-14, November.
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- Christian Pierdzioch & Jan-Christoph Rülke, 2013. "A note on the anti-herding instinct of interest rate forecasters," Empirical Economics, Springer, vol. 45(2), pages 665-673, October.
- Pierdzioch, Christian & Rülke, Jan-Christoph & Stadtmann, Georg, 2013. "Forecasting metal prices: Do forecasters herd?," Journal of Banking & Finance, Elsevier, vol. 37(1), pages 150-158.
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- Georg Stadtmann & Christian Pierdzioch & Jan Ruelke, 2011. "Scattered Fiscal Forecasts," Economics Bulletin, AccessEcon, vol. 31(3), pages 2558-2568.
- Mehmet Balcilar & Riza Demirer & Talat Ulussever, 2016. "Does speculation in the oil market drive investor herding in net exporting nations?," Working Papers 15-29, Eastern Mediterranean University, Department of Economics.
- Víctor López-Pérez, 2017. "Do professional forecasters behave as if they believed in the New Keynesian Phillips Curve for the euro area?," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 44(1), pages 147-174, February.
- Frenkel, Michael & Rülke, Jan-Christoph & Zimmermann, Lilli, 2013. "Do private sector forecasters chase after IMF or OECD forecasts?," Journal of Macroeconomics, Elsevier, vol. 37(C), pages 217-229.
- Leppin, Julian Sebstian, 2014. "The Relation Between Overreaction in Forecasts and Uncertainty: A Nonlinear Approach," Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100284, Verein für Socialpolitik / German Economic Association.
- Rülke, Jan-Christoph & Silgoner, Maria & Wörz, Julia, 2016. "Herding behavior of business cycle forecasters," International Journal of Forecasting, Elsevier, vol. 32(1), pages 23-33.
- Fildes, Robert, 2015. "Forecasters and rationality—A comment on Fritsche et al., Forecasting the Brazilian Real and Mexican Peso: Asymmetric loss, forecast rationality and forecaster herding," International Journal of Forecasting, Elsevier, vol. 31(1), pages 140-143.
More about this item
KeywordsOil price Forecasting Herding;
- F31 - International Economics - - International Finance - - - Foreign Exchange
- D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
- C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
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