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J James Reade

Personal Details

First Name:J
Middle Name:James
Last Name:Reade
Suffix:
RePEc Short-ID:pre128
http://sites.google.com/site/jjamesreade
Twitter: @jjreade
Terminal Degree:2007 Department of Economics; Oxford University (from RePEc Genealogy)

Affiliation

(99%) Department of Economics
University of Reading

Reading, United Kingdom
http://www.rdg.ac.uk/Economics/

: +44-118-9875123
+44-118-9750236
PO Box 218, Whiteknights, Reading, RG6 6AA
RePEc:edi:derdguk (more details at EDIRC)

(1%) Research Program on Forecasting
Department of Economics
George Washington University

Washington, District of Columbia (United States)
http://www.gwu.edu/~forcpgm/

: (202) 994-6150
(202) 994-6147
(202) 994-6150
RePEc:edi:pfgwuus (more details at EDIRC)

Research output

as
Jump to: Working papers Articles Chapters

Working papers

  1. J. James Reade & Carl Singleton & Leighton Vaughan Williams, 2020. "Betting markets for English Premier League results and scorelines: evaluating a simple forecasting model," Economics & Management Discussion Papers em-dp2020-03, Henley Business School, Reading University.
  2. Guy Elaad & J. James Reade & Carl Singleton, 2019. "Information, prices and efficiency in an online betting market," Economics & Management Discussion Papers em-dp2019-10, Henley Business School, Reading University.
  3. Reade, J. James & Cabras, Stefano & Tena Horrillo, Juan de Dios, 2019. "Social Pressure or Rational Reactions to Incentives? A Historical Analysis of Reasons for Referee Bias in the Spanish Football," DES - Working Papers. Statistics and Econometrics. WS 28198, Universidad Carlos III de Madrid. Departamento de Estadística.
  4. J. James Reade & Carl Singleton & Alasdair Brown, 2019. "Evaluating Strange Forecasts: The Curious Case of Football Match Scorelines," Economics & Management Discussion Papers em-dp2019-18, Henley Business School, Reading University.
  5. James Reade, 2018. "Officials and Home Advantage," Economics & Management Discussion Papers em-dp2018-01, Henley Business School, Reading University.
  6. Alasdair Brown & James Reade & Leighton Vaughan Williams, 2018. "Prediction Markets and Poll Releases: When Are Prices Most Informative?," Economics & Management Discussion Papers em-dp2018-02, Henley Business School, Reading University.
  7. Carl Singleton & J. James Reade & Alsdair Brown, 2018. "Going with your Gut: The (In)accuracy of Forecast Revisions in a Football Score Prediction Game," Working Papers 2018-006, The George Washington University, Department of Economics, Research Program on Forecasting.
  8. Alasdair Brown & Dooruj Rambaccussing & James Reade & Giambattista Rossi, 2016. "Using Social Media to Identify Market Inefficiencies: Evidence from Twitter and Betfair," Economics & Management Discussion Papers em-dp2016-01, Henley Business School, Reading University.
  9. Felix Pretis & James Reade & Genaro Sucarrat, 2016. "General-to-Specific (GETS) Modelling And Indicator Saturation With The R Package Gets," Economics Series Working Papers 794, University of Oxford, Department of Economics.
  10. Alasdair Brown & Dooruj Rambaccussing & J. James Reade & Giambattista Rossi, 2016. "Using Social Media to Identify Market Ine!ciencies: Evidence from Twitter and Betfair," Working Papers 2016-002, The George Washington University, Department of Economics, Research Program on Forecasting.
  11. James Reade, 2014. "Information and Predictability: Bookmakers, Prediction Markets and Tipsters as Forecasters," Economics & Management Discussion Papers em-dp2014-05, Henley Business School, Reading University.
  12. Leighton Vaughan Williams & James Reade, 2014. "Prediction Markets, Twitter and Bigotgate," Economics & Management Discussion Papers em-dp2014-09, Henley Business School, Reading University.
  13. Sarah Jewell & James Reade, 2014. "On Fixing International Cricket Matches," Economics & Management Discussion Papers em-dp2014-08, Henley Business School, Reading University.
  14. J. James Reade & Sachiko Akie, 2013. "Using Forecasting to Detect Corruption in International Football," Working Papers 2013-005, The George Washington University, Department of Economics, Research Program on Forecasting.
  15. Edoardo Gallo & Thomas Grund & J. James Reade, 2012. "Punishing the Foreigner: Implicit Discrimination in the Premier League Based on Oppositional Identity," Discussion Papers 12-02, Department of Economics, University of Birmingham.
  16. Karen Croxson & J. James Reade, 2011. "Exchange vs Dealers: A High-Frequency Analysis of In-Play Betting Prices," Discussion Papers 11-19, Department of Economics, University of Birmingham.
  17. J. James Reade & Ulrich Volz, 2011. "From the General to the Specific," Discussion Papers 11-18, Department of Economics, University of Birmingham.
  18. J. James Reade, 2011. "Modelling Monetary and Fiscal Policy in the US: A Cointegration Approach," Discussion Papers 11-02, Department of Economics, University of Birmingham.
  19. Karen Croxson & J. James Reade, 2011. "Information and Efficiency: Goal Arrival in Soccer Betting," Discussion Papers 11-01, Department of Economics, University of Birmingham.
  20. Reade, J. James & Volz, Ulrich, 2010. "Chinese monetary policy and the dollar peg," Discussion Papers 2010/35, Free University Berlin, School of Business & Economics.
  21. Markus Eberhardt & Anindya Banerjee and J. James Reade, 2010. "Panel Estimation for Worriers," Economics Series Working Papers 514, University of Oxford, Department of Economics.
  22. J. James Reade & Ulrich Volz, 2009. "Leader of the Pack? German Monetary Dominance in Europe Prior to EMU," Economics Series Working Papers 419, University of Oxford, Department of Economics.
  23. J. James Reade & Ulrich Volz, 2009. "Too Much to Lose, or More to Gain? Should Sweden Join the Euro?," Economics Series Working Papers 442, University of Oxford, Department of Economics.
  24. Bent Nielsen & J. James Reade, 2004. "Simulating properties of the likelihood ratio test for a unit root in an explosive second order autoregression," Economics Papers 2004-W24, Economics Group, Nuffield College, University of Oxford.

Articles

  1. Brown, Alasdair & Reade, J. James & Vaughan Williams, Leighton, 2019. "When are prediction market prices most informative?," International Journal of Forecasting, Elsevier, vol. 35(1), pages 420-428.
  2. Brown, Alasdair & Reade, J. James, 2019. "The wisdom of amateur crowds: Evidence from an online community of sports tipsters," European Journal of Operational Research, Elsevier, vol. 272(3), pages 1073-1081.
  3. Reade, J. James & Vaughan Williams, Leighton, 2019. "Polls to probabilities: Comparing prediction markets and opinion polls," International Journal of Forecasting, Elsevier, vol. 35(1), pages 336-350.
  4. Alasdair Brown & Dooruj Rambaccussing & J. James Reade & Giambattista Rossi, 2018. "Forecasting With Social Media: Evidence From Tweets On Soccer Matches," Economic Inquiry, Western Economic Association International, vol. 56(3), pages 1748-1763, July.
  5. Leighton Vaughan Williams & J. James Reade, 2016. "Prediction Markets, Social Media and Information Efficiency," Kyklos, Wiley Blackwell, vol. 69(3), pages 518-556, August.
  6. Leighton Vaughan Williams & J. James Reade, 2016. "Forecasting Elections," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 35(4), pages 308-328, July.
  7. Karen Croxson & J. James Reade, 2014. "Information and Efficiency: Goal Arrival in Soccer Betting," Economic Journal, Royal Economic Society, vol. 124(575), pages 62-91, March.
  8. James Reade, 2014. "Information And Predictability: Bookmakers, Prediction Markets And Tipsters As Forecasters," Journal of Prediction Markets, University of Buckingham Press, vol. 8(1), pages 43-76.
  9. Edoardo Gallo & Thomas Grund & J. James Reade, 2013. "Punishing the Foreigner: Implicit Discrimination in the Premier League Based on Oppositional Identity," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 75(1), pages 136-156, February.
  10. Vasileios Manasis & Vassiliki Avgerinou & Ioannis Ntzoufras & J. James Reade, 2011. "Measurement of competitive balance in professional team sports using the Normalized Concentration Ratio," Economics Bulletin, AccessEcon, vol. 31(3), pages 2529-2540.
  11. J. James Reade & Ulrich Volz, 2011. "From the General to the Specific—Modelling Inflation in China," Applied Economics Quarterly (formerly: Konjunkturpolitik), Duncker & Humblot, Berlin, vol. 57(1), pages 27-44.
  12. Reade, J. James & Volz, Ulrich, 2011. "Leader of the pack? German monetary dominance in Europe prior to EMU," Economic Modelling, Elsevier, vol. 28(1-2), pages 239-250, January.
  13. Mark Koyama & J. James Reade, 2009. "Playing Like the Home Team: An Economic Investigation into Home Advantage in Football," International Journal of Sport Finance, Fitness Information Technology, vol. 4(1), pages 16-41, February.
  14. Aris Spanos & David F. Hendry & J. James Reade, 2008. "Linear vs. Log‐linear Unit‐Root Specification: An Application of Mis‐specification Encompassing," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 70(s1), pages 829-847, December.
  15. Hendry, David F. & Reade, J. James, 2008. "Elusive return predictability: Discussion," International Journal of Forecasting, Elsevier, vol. 24(1), pages 22-28.
  16. Bent Nielsen & J. James Reade, 2007. "Simulating Properties of the Likelihood Ratio Test for a Unit Root in an Explosive Second-Order Autoregression," Econometric Reviews, Taylor & Francis Journals, vol. 26(5), pages 487-501.

Chapters

  1. James Reade, 2014. "Detecting corruption in football," Chapters, in: John Goddard & Peter Sloane (ed.), Handbook on the Economics of Professional Football, chapter 25, pages 419-446, Edward Elgar Publishing.
  2. J. James Reade & Ulrich Volz, 2011. "When You Got Nothing, You Got Nothing to Lose – Regional Monetary Integration and Policy Independence," Chapters, in: Ulrich Volz (ed.), Regional Integration, Economic Development and Global Governance, chapter 12, Edward Elgar Publishing.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. Mark Koyama & J. James Reade, 2009. "Playing Like the Home Team: An Economic Investigation into Home Advantage in Football," International Journal of Sport Finance, Fitness Information Technology, vol. 4(1), pages 16-41, February.

    Mentioned in:

    1. The Role of Supporters
      by jamesreade in International Journal of Sport Finance Blog on 2011-12-23 08:50:53
  2. Reade, J. James & Volz, Ulrich, 2010. "Chinese monetary policy and the dollar peg," Discussion Papers 2010/35, Free University Berlin, School of Business & Economics.

    Mentioned in:

    1. Chinese inflation, monetary policy and the dollar peg
      by Guest Author in credit writedowns on 2011-02-18 19:20:00
    2. China und die G20
      by Ulrich Volz in Ökonomenstimme on 2011-03-08 18:00:00

Working papers

  1. Alasdair Brown & Dooruj Rambaccussing & James Reade & Giambattista Rossi, 2016. "Using Social Media to Identify Market Inefficiencies: Evidence from Twitter and Betfair," Economics & Management Discussion Papers em-dp2016-01, Henley Business School, Reading University.

    Cited by:

    1. Tai, Chung-Ching & Lin, Hung-Wen & Chie, Bin-Tzong & Tung, Chen-Yuan, 2019. "Predicting the failures of prediction markets: A procedure of decision making using classification models," International Journal of Forecasting, Elsevier, vol. 35(1), pages 297-312.
    2. Peeters, Thomas, 2018. "Testing the Wisdom of Crowds in the field: Transfermarkt valuations and international soccer results," International Journal of Forecasting, Elsevier, vol. 34(1), pages 17-29.
    3. Alasdair Brown & James Reade & Leighton Vaughan Williams, 2018. "Prediction Markets and Poll Releases: When Are Prices Most Informative?," Economics & Management Discussion Papers em-dp2018-02, Henley Business School, Reading University.
    4. Dmitry Dagaev & Egor Stoyan, 2019. "Parimutuel Betting On The Esports Duels: Reverse Favourite-Longshot Bias And Its Determinants," HSE Working papers WP BRP 216/EC/2019, National Research University Higher School of Economics.

  2. Felix Pretis & James Reade & Genaro Sucarrat, 2016. "General-to-Specific (GETS) Modelling And Indicator Saturation With The R Package Gets," Economics Series Working Papers 794, University of Oxford, Department of Economics.

    Cited by:

    1. David Hendry & Felix Pretis & Lea Schneider & Jason E. Smerdon, 2016. "Detecting Volcanic Eruptions in Temperature Reconstructions by Designed Break-Indicator Saturation," Economics Series Working Papers 780, University of Oxford, Department of Economics.
    2. Leighton Vaughan Williams & J. James Reade, 2016. "Prediction Markets, Social Media and Information Efficiency," Kyklos, Wiley Blackwell, vol. 69(3), pages 518-556, August.
    3. Møller, Niels Framroze & Andersen, Laura Mørch & Hansen, Lars Gårn & Jensen, Carsten Lynge, 2019. "Can pecuniary and environmental incentives via SMS messaging make households adjust their electricity demand to a fluctuating production?," Energy Economics, Elsevier, vol. 80(C), pages 1050-1058.
    4. Jennifer L. Castle & David F. Hendry & Andrew B. Martinez, 2017. "Evaluating Forecasts, Narratives and Policy Using a Test of Invariance," Econometrics, MDPI, Open Access Journal, vol. 5(3), pages 1-27, September.
    5. Mukanjari, Samson & Sterner, Thomas, 2018. "Do Markets Trump Politics? Evidence from Fossil Market Reactions to the Paris Agreement and the U.S. Election," Working Papers in Economics 728, University of Gothenburg, Department of Economics.
    6. Niels Framroze Møller & Laura Mørch Andersen & Lars Gårn Hansen & Carsten Lynge Jensen, 2018. "Can pecuniary and environmental incentives via SMS messaging make households adjust their intra-day electricity demand to a fluctuating production?," IFRO Working Paper 2018/06, University of Copenhagen, Department of Food and Resource Economics.

  3. Alasdair Brown & Dooruj Rambaccussing & J. James Reade & Giambattista Rossi, 2016. "Using Social Media to Identify Market Ine!ciencies: Evidence from Twitter and Betfair," Working Papers 2016-002, The George Washington University, Department of Economics, Research Program on Forecasting.

    Cited by:

    1. Tai, Chung-Ching & Lin, Hung-Wen & Chie, Bin-Tzong & Tung, Chen-Yuan, 2019. "Predicting the failures of prediction markets: A procedure of decision making using classification models," International Journal of Forecasting, Elsevier, vol. 35(1), pages 297-312.
    2. Peeters, Thomas, 2018. "Testing the Wisdom of Crowds in the field: Transfermarkt valuations and international soccer results," International Journal of Forecasting, Elsevier, vol. 34(1), pages 17-29.

  4. James Reade, 2014. "Information and Predictability: Bookmakers, Prediction Markets and Tipsters as Forecasters," Economics & Management Discussion Papers em-dp2014-05, Henley Business School, Reading University.

    Cited by:

    1. Guy Elaad & J. James Reade & Carl Singleton, 2019. "Information, prices and efficiency in an online betting market," Economics & Management Discussion Papers em-dp2019-10, Henley Business School, Reading University.
    2. J. James Reade & Carl Singleton & Alasdair Brown, 2019. "Evaluating Strange Forecasts: The Curious Case of Football Match Scorelines," Economics & Management Discussion Papers em-dp2019-18, Henley Business School, Reading University.
    3. Angelini, Giovanni & De Angelis, Luca, 2019. "Efficiency of online football betting markets," International Journal of Forecasting, Elsevier, vol. 35(2), pages 712-721.
    4. Brown, Alasdair & Reade, J. James, 2019. "The wisdom of amateur crowds: Evidence from an online community of sports tipsters," European Journal of Operational Research, Elsevier, vol. 272(3), pages 1073-1081.
    5. Giovanni Angelini & Luca De Angelis & Carl Singleton, 2019. "Informational efficiency and price reaction within in-play prediction markets," Economics & Management Discussion Papers em-dp2019-20, Henley Business School, Reading University.
    6. Brown, Alasdair & Reade, J. James & Vaughan Williams, Leighton, 2019. "When are prediction market prices most informative?," International Journal of Forecasting, Elsevier, vol. 35(1), pages 420-428.

  5. Leighton Vaughan Williams & James Reade, 2014. "Prediction Markets, Twitter and Bigotgate," Economics & Management Discussion Papers em-dp2014-09, Henley Business School, Reading University.

    Cited by:

    1. Alasdair Brown & Dooruj Rambaccussing & J. James Reade & Giambattista Rossi, 2016. "Using Social Media to Identify Market Inefficiencies: Evidence from Twitter and Betfair," Dundee Discussion Papers in Economics 293, Economic Studies, University of Dundee.
    2. Alasdair Brown & Dooruj Rambaccussing & J. James Reade & Giambattista Rossi, 2016. "Using Social Media to Identify Market Ine!ciencies: Evidence from Twitter and Betfair," Working Papers 2016-002, The George Washington University, Department of Economics, Research Program on Forecasting.

  6. J. James Reade & Sachiko Akie, 2013. "Using Forecasting to Detect Corruption in International Football," Working Papers 2013-005, The George Washington University, Department of Economics, Research Program on Forecasting.

    Cited by:

    1. Alasdair Brown & Fuyu Yang, 2014. "Have Betting Exchanges Corrupted Horse Racing?," University of East Anglia Applied and Financial Economics Working Paper Series 066, School of Economics, University of East Anglia, Norwich, UK..

  7. Edoardo Gallo & Thomas Grund & J. James Reade, 2012. "Punishing the Foreigner: Implicit Discrimination in the Premier League Based on Oppositional Identity," Discussion Papers 12-02, Department of Economics, University of Birmingham.

    Cited by:

    1. David Neumark, 2016. "Experimental Research on Labor Market Discrimination," NBER Working Papers 22022, National Bureau of Economic Research, Inc.
    2. Jorge Tovar, 2018. "Performance, Diversity and National Identity Evidence from Association football," Documentos CEDE 016820, Universidad de los Andes - CEDE.
    3. Hlasny, V. & Kolaric, S., 2015. "Catch Me If You Can - Referee–Team Relationships and Disciplinary Cautions in Football," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 74994, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    4. Peter Dawson, 2014. "Refereeing and infringement of the rules," Chapters, in: John Goddard & Peter Sloane (ed.), Handbook on the Economics of Professional Football, chapter 24, pages 401-418, Edward Elgar Publishing.
    5. Faltings, Richard & Krumer, Alex & Lechner, Michael, 2019. "Rot-Jaune-Verde. Language and Favoritism: Evidence from Swiss Soccer," Economics Working Paper Series 1915, University of St. Gallen, School of Economics and Political Science.
    6. James Reade, 2014. "Detecting corruption in football," Chapters, in: John Goddard & Peter Sloane (ed.), Handbook on the Economics of Professional Football, chapter 25, pages 419-446, Edward Elgar Publishing.
    7. Giacomo De Luca & Jeroen Schokkaert & Jo Swinnen, 2011. "Cultural Differences, Assimilation and Behavior: Player Nationality and Penalties in Football," LICOS Discussion Papers 29711, LICOS - Centre for Institutions and Economic Performance, KU Leuven.
    8. Barry Reilly, 2014. "Labour market discrimination," Chapters, in: John Goddard & Peter Sloane (ed.), Handbook on the Economics of Professional Football, chapter 15, pages 238-258, Edward Elgar Publishing.
    9. John Goddard & Peter Sloane (ed.), 2014. "Handbook on the Economics of Professional Football," Books, Edward Elgar Publishing, number 14821.
    10. Jeffrey Chu & Saralees Nadarajah & Emmanuel Afuecheta & Stephen Chan & Ying Xu, 2014. "A statistical study of racism in English football," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(5), pages 2915-2937, September.

  8. Karen Croxson & J. James Reade, 2011. "Exchange vs Dealers: A High-Frequency Analysis of In-Play Betting Prices," Discussion Papers 11-19, Department of Economics, University of Birmingham.

    Cited by:

    1. Leighton Vaughan Williams & J. James Reade, 2016. "Prediction Markets, Social Media and Information Efficiency," Kyklos, Wiley Blackwell, vol. 69(3), pages 518-556, August.
    2. James Reade, 2014. "Information And Predictability: Bookmakers, Prediction Markets And Tipsters As Forecasters," Journal of Prediction Markets, University of Buckingham Press, vol. 8(1), pages 43-76.
    3. J. James Reade & Sachiko Akie, 2013. "Using Forecasting to Detect Corruption in International Football," Working Papers 2013-005, The George Washington University, Department of Economics, Research Program on Forecasting.
    4. James Reade, 2014. "Detecting corruption in football," Chapters, in: John Goddard & Peter Sloane (ed.), Handbook on the Economics of Professional Football, chapter 25, pages 419-446, Edward Elgar Publishing.
    5. Raphael Flepp & Stephan Nüesch & Egon Franck, 2014. "The Liquidity Advantage of the Quote-Driven Market: Evidence from the Betting Industry," Working Papers 342, University of Zurich, Department of Business Administration (IBW).
    6. John Goddard & Peter Sloane (ed.), 2014. "Handbook on the Economics of Professional Football," Books, Edward Elgar Publishing, number 14821.

  9. J. James Reade & Ulrich Volz, 2011. "From the General to the Specific," Discussion Papers 11-18, Department of Economics, University of Birmingham.

    Cited by:

    1. Jennifer L. Castle & Jurgen A. Doornik & David F. Hendry & Felix Pretis, 2015. "Detecting Location Shifts during Model Selection by Step-Indicator Saturation," Econometrics, MDPI, Open Access Journal, vol. 3(2), pages 1-25, April.

  10. J. James Reade, 2011. "Modelling Monetary and Fiscal Policy in the US: A Cointegration Approach," Discussion Papers 11-02, Department of Economics, University of Birmingham.

    Cited by:

    1. Daly, Hounaida & Smida, Mounir, 2013. "Interaction entre politique monétaire et politique budgétaire:Cas de la Grèce
      [Fiscal and Monetary Policy Interactions : The Greece Case]
      ," MPRA Paper 45931, University Library of Munich, Germany.
    2. Daly, Hounaida & Smida, Mounir, 2013. "La coordination des politiques monétaire et budgétaire: Aperçu théorique
      [Coordination of monetary and fiscal policies: Theoretical Overview]
      ," MPRA Paper 48066, University Library of Munich, Germany.
    3. Daly, Hounaida & Smida, Mounir, 2014. "Fiscal Theory of Price Level," MPRA Paper 60142, University Library of Munich, Germany.

  11. Karen Croxson & J. James Reade, 2011. "Information and Efficiency: Goal Arrival in Soccer Betting," Discussion Papers 11-01, Department of Economics, University of Birmingham.

    Cited by:

    1. Karen Croxson & J. James Reade, 2011. "Exchange vs Dealers: A High-Frequency Analysis of In-Play Betting Prices," Discussion Papers 11-19, Department of Economics, University of Birmingham.
    2. Tai, Chung-Ching & Lin, Hung-Wen & Chie, Bin-Tzong & Tung, Chen-Yuan, 2019. "Predicting the failures of prediction markets: A procedure of decision making using classification models," International Journal of Forecasting, Elsevier, vol. 35(1), pages 297-312.
    3. Michael Ehrmann & David-Jan Jansen, 2014. "It hurts (stock prices) when your team is about to lose a soccer match," DNB Working Papers 412, Netherlands Central Bank, Research Department.
    4. Alasdair Brown & James Reade & Leighton Vaughan Williams, 2018. "Prediction Markets and Poll Releases: When Are Prices Most Informative?," Economics & Management Discussion Papers em-dp2018-02, Henley Business School, Reading University.
    5. Marco Ottaviani & Peter Norman Sørensen, 2015. "Price Reaction to Information with Heterogeneous Beliefs and Wealth Effects: Underreaction, Momentum, and Reversal," American Economic Review, American Economic Association, vol. 105(1), pages 1-34, January.
    6. Alasdair Brown & Dooruj Rambaccussing & J. James Reade & Giambattista Rossi, 2016. "Using Social Media to Identify Market Inefficiencies: Evidence from Twitter and Betfair," Dundee Discussion Papers in Economics 293, Economic Studies, University of Dundee.
    7. Barge-Gil, Andrés & García-Hiernaux, Alfredo, 2019. "Staking plans in sports betting under unknown true probabilities of the event," MPRA Paper 92196, University Library of Munich, Germany.
    8. Leighton Vaughan Williams & J. James Reade, 2016. "Prediction Markets, Social Media and Information Efficiency," Kyklos, Wiley Blackwell, vol. 69(3), pages 518-556, August.
    9. Leighton Vaughan Williams & James Reade, 2014. "Prediction Markets, Twitter and Bigotgate," Economics & Management Discussion Papers em-dp2014-09, Henley Business School, Reading University.
    10. Bizzozero, Paolo & Flepp, Raphael & Franck, Egon, 2018. "The effect of fast trading on price discovery and efficiency: Evidence from a betting exchange," Journal of Economic Behavior & Organization, Elsevier, vol. 156(C), pages 126-143.
    11. Egon Franck & Erwin Verbeek & Stephan Nüesch, 2013. "Inter-market Arbitrage in Betting," Economica, London School of Economics and Political Science, vol. 80(318), pages 300-325, April.
    12. Mills, Brian M. & Salaga, Steven, 2018. "A natural experiment for efficient markets: Information quality and influential agents," Journal of Financial Markets, Elsevier, vol. 40(C), pages 23-39.
    13. Green, Lawrence & Sung, Ming-Chien & Ma, Tiejun & Johnson, Johnnie E. V., 2019. "To what extent can new web-based technology improve forecasts? Assessing the economic value of information derived from Virtual Globes and its rate of diffusion in a financial market," European Journal of Operational Research, Elsevier, vol. 278(1), pages 226-239.
    14. Samuel M. Hartzmark & David H. Solomon, 2012. "Efficiency and the Disposition Effect in NFL Prediction Markets," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 2(03), pages 1-42.
    15. James Reade, 2014. "Detecting corruption in football," Chapters, in: John Goddard & Peter Sloane (ed.), Handbook on the Economics of Professional Football, chapter 25, pages 419-446, Edward Elgar Publishing.
    16. Hofer, Vera & Leitner, Johannes, 2017. "Relative pricing of binary options in live soccer betting markets," Journal of Economic Dynamics and Control, Elsevier, vol. 76(C), pages 66-85.
    17. Restocchi, Valerio & McGroarty, Frank & Gerding, Enrico, 2019. "The temporal evolution of mispricing in prediction markets," Finance Research Letters, Elsevier, vol. 29(C), pages 303-307.
    18. Sung, Ming-Chien & McDonald, David C.J. & Johnson, Johnnie E.V. & Tai, Chung-Ching & Cheah, Eng-Tuck, 2019. "Improving prediction market forecasts by detecting and correcting possible over-reaction to price movements," European Journal of Operational Research, Elsevier, vol. 272(1), pages 389-405.
    19. Raphael Flepp & Stephan Nüesch & Egon Franck, 2013. "Liquidity, Market Efficiency and the Influence of Noise Traders: Quasi-Experimental Evidence from the Betting Industry," Working Papers 341, University of Zurich, Department of Business Administration (IBW).
    20. Marco Ottaviani & Peter Norman Sørensen, 2009. "Aggregation of Information and Beliefs: Asset Pricing Lessons from Prediction Markets," Discussion Papers 09-14, University of Copenhagen. Department of Economics.
    21. Paolo Bizzozero & Raphael Flepp & Egon Franck, 2016. "The Importance of Suspense and Surprise in Entertainment Demand: Evidence from Wimbledon," Working Papers 357, University of Zurich, Department of Business Administration (IBW).
    22. Alasdair Brown, 2013. "Information Acquisition in Ostensibly Efficient Markets," University of East Anglia Applied and Financial Economics Working Paper Series 043, School of Economics, University of East Anglia, Norwich, UK..
    23. Egon Franck & Erwin Verbeek & Stephan Nuesch, 2009. "Inter- market Arbitrage in Sports Betting," NCER Working Paper Series 48, National Centre for Econometric Research.
    24. Egon Franck & Erwin Verbeek & Stephan Nüesch, 2008. "Prediction Accuracy of Different Market Structures – Bookmakers versus a Betting Exchange," Working Papers 0096, University of Zurich, Institute for Strategy and Business Economics (ISU), revised 2009.
    25. Alasdair Brown & Dooruj Rambaccussing & J. James Reade & Giambattista Rossi, 2016. "Using Social Media to Identify Market Ine!ciencies: Evidence from Twitter and Betfair," Working Papers 2016-002, The George Washington University, Department of Economics, Research Program on Forecasting.
    26. John Goddard & Peter Sloane (ed.), 2014. "Handbook on the Economics of Professional Football," Books, Edward Elgar Publishing, number 14821.
    27. Angelini, Giovanni & De Angelis, Luca, 2019. "Efficiency of online football betting markets," International Journal of Forecasting, Elsevier, vol. 35(2), pages 712-721.
    28. Jennifer Castle & David Hendry, 2013. "Forecasting and Nowcasting Macroeconomic Variables: A Methodological Overview," Economics Series Working Papers 674, University of Oxford, Department of Economics.
    29. Vitor Miguel Ribeiro, 2014. "Anticipating the long-term ideology of a policymaker," FEP Working Papers 553, Universidade do Porto, Faculdade de Economia do Porto.
    30. Leif Brandes & Egon Franck & Erwin Verbeek, 2009. "The Validity of Models on the Information Content of Trades," Working Papers 00120, University of Zurich, Institute for Strategy and Business Economics (ISU), revised 2010.
    31. Alasdair Brown & Dooruj Rambaccussing & J. James Reade & Giambattista Rossi, 2018. "Forecasting With Social Media: Evidence From Tweets On Soccer Matches," Economic Inquiry, Western Economic Association International, vol. 56(3), pages 1748-1763, July.
    32. Philippe Meier & Maximilian Rüdisser & Raphael Flepp & Egon Franck, 2019. "The advantage of scoring just before the halftime break – pure myth? Quasi-experimental evidence from European football," Working Papers 382, University of Zurich, Department of Business Administration (IBW).
    33. Dmitry Dagaev & Egor Stoyan, 2019. "Parimutuel Betting On The Esports Duels: Reverse Favourite-Longshot Bias And Its Determinants," HSE Working papers WP BRP 216/EC/2019, National Research University Higher School of Economics.
    34. Alasdair Brown & Fuyu Yang, 2015. "Adverse Selection, Speed Bumps and Asset Market Quality," University of East Anglia Applied and Financial Economics Working Paper Series 070, School of Economics, University of East Anglia, Norwich, UK..
    35. Giovanni Angelini & Luca De Angelis & Carl Singleton, 2019. "Informational efficiency and price reaction within in-play prediction markets," Economics & Management Discussion Papers em-dp2019-20, Henley Business School, Reading University.
    36. Brown, Alasdair & Reade, J. James & Vaughan Williams, Leighton, 2019. "When are prediction market prices most informative?," International Journal of Forecasting, Elsevier, vol. 35(1), pages 420-428.

  12. Reade, J. James & Volz, Ulrich, 2010. "Chinese monetary policy and the dollar peg," Discussion Papers 2010/35, Free University Berlin, School of Business & Economics.

    Cited by:

    1. Kristina Spantig, 2012. "International monetary policy spillovers in an asymmetric world monetary system - The United States and China," Global Financial Markets Working Paper Series 2012-33, Friedrich-Schiller-University Jena.
    2. Goh, Soo Khoon & McNown, Robert, 2015. "Examining the exchange rate regime–monetary policy autonomy nexus: Evidence from Malaysia," International Review of Economics & Finance, Elsevier, vol. 35(C), pages 292-303.
    3. Sunanda SeN, 2014. "Financial integration and national autonomy: China and India," Review of Keynesian Economics, Edward Elgar Publishing, vol. 2(1), pages 20-44, January.
    4. Jakub Borowski & Adam Czerniak, 2012. "Determinanty polityki pieniężnej Ludowego Banku Chin," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 1-2, pages 97-116.
    5. Ito, Hiro & Volz, Ulrich, 2012. "The People’s Republic of China and Global Imbalances from a View of Sectorial Reforms," ADBI Working Papers 393, Asian Development Bank Institute.
    6. Sunanda Sen, 2012. "Managing Global Financial Flows at the Cost of National Autonomy: China and India," Economics Working Paper Archive wp_714, Levy Economics Institute.
    7. Rongrong Sun, 2015. "What Measures Chinese Monetary Policy?," Working Papers 072015, Hong Kong Institute for Monetary Research.
    8. Körner, Finn Marten & Ehnts, Dirk H., 2013. "Chinese monetary policy – from theory to practice," MPRA Paper 44264, University Library of Munich, Germany.
    9. Bonatti, Luigi & Fracasso, Andrea, 2013. "Hoarding of international reserves in China: Mercantilism, domestic consumption and US monetary policy," Journal of International Money and Finance, Elsevier, vol. 32(C), pages 1044-1078.
    10. Kristina Spantig, 2015. "International monetary policy spillovers—can the RMB and the euro challenge the hegemony of the US dollar?," Asia Europe Journal, Springer, vol. 13(4), pages 459-478, December.
    11. J. James Reade & Ulrich Volz, 2011. "From the General to the Specific," Discussion Papers 11-18, Department of Economics, University of Birmingham.
    12. Popper, Helen & Mandilaras, Alex & Bird, Graham, 2013. "Trilemma stability and international macroeconomic archetypes," European Economic Review, Elsevier, vol. 64(C), pages 181-193.

  13. Markus Eberhardt & Anindya Banerjee and J. James Reade, 2010. "Panel Estimation for Worriers," Economics Series Working Papers 514, University of Oxford, Department of Economics.

    Cited by:

    1. Ernesto R. Gantman & Marcelo P. Dabós, 2018. "Does trade openness influence the real effective exchange rate? New evidence from panel time-series," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 9(1), pages 91-113, March.
    2. Lozano, Ignacio & Julio, Juan Manuel, 2016. "Descentralización fiscal y crecimiento económico en Colombia: evidencia de datos de panel a nivel regional," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), August.
    3. Anindya Banerjee & Josep Lluis Carrion-i-Silvestre, 2011. "Testing for Panel Cointegration Using Common Correlated Effects," Discussion Papers 11-16, Department of Economics, University of Birmingham.
    4. Markus Eberhardt & Francis Teal, 2013. "No Mangoes in the Tundra: Spatial Heterogeneity in Agricultural Productivity Analysis," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 75(6), pages 914-939, December.
    5. Giray Gozgor, 2013. "Testing Unemployment Persistence in Central and Eastern European Countries," International Journal of Economics and Financial Issues, Econjournals, vol. 3(3), pages 694-700.
    6. Bakas, Dimitrios & Papapetrou, Evangelia, 2014. "Unemployment in Greece: Evidence from Greek regions using panel unit root tests," The Quarterly Review of Economics and Finance, Elsevier, vol. 54(4), pages 551-562.
    7. Anindya Banerjee & Josep Lluís Carrion-i-Silvestre, 2017. "Testing for Panel Cointegration Using Common Correlated Effects Estimators," Journal of Time Series Analysis, Wiley Blackwell, vol. 38(4), pages 610-636, July.
    8. Evangelia Papapetrou & Dimitrios Bakas, 2012. "Unemployment in Greece: evidence from Greek regions," Working Papers 146, Bank of Greece.
    9. Roth, Felix & Gros, Daniel & Nowak-Lehmann D., Felicitas, 2012. "Has the financial crisis eroded citizens' trust in the European Central Bank? Panel data evidence for the Euro area, 1999-2011," Center for European, Governance and Economic Development Research Discussion Papers 124, University of Goettingen, Department of Economics.
    10. Lozano, Ignacio & Julio, Juan Manuel, 2016. "Fiscal decentralization and economic growth in Colombia: evidence from regional-level panel data," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), August.
    11. Dierk Herzery & Holger Strulik & Sebastian Vollmer, 2010. "The Long-run Determinants of Fertility: One Century of Demographic Change 1900-1999," PGDA Working Papers 6310, Program on the Global Demography of Aging.
    12. Heike Belitz & Florian Mölders, 2016. "International knowledge spillovers through high-tech imports and R&D of foreign-owned firms," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 25(4), pages 590-613, June.
    13. Georg von Graevenitz & Christian Helmers & Valentine Millot & Oliver Turnbull, 2016. "Does Online Search Predict Sales? Evidence from Big Data for Car Markets in Germany and the UK," Working Papers 71, Queen Mary, University of London, School of Business and Management, Centre for Globalisation Research.

  14. J. James Reade & Ulrich Volz, 2009. "Leader of the Pack? German Monetary Dominance in Europe Prior to EMU," Economics Series Working Papers 419, University of Oxford, Department of Economics.

    Cited by:

    1. Goh, Soo Khoon & McNown, Robert, 2015. "Examining the exchange rate regime–monetary policy autonomy nexus: Evidence from Malaysia," International Review of Economics & Finance, Elsevier, vol. 35(C), pages 292-303.
    2. Marcel Fratzscher & Arnaud Mehl, 2014. "China's Dominance Hypothesis and the Emergence of a Tri‐polar Global Currency System," Economic Journal, Royal Economic Society, vol. 124(581), pages 1343-1370, December.
    3. J. James Reade & Ulrich Volz, 2011. "When You Got Nothing, You Got Nothing to Lose – Regional Monetary Integration and Policy Independence," Chapters, in: Ulrich Volz (ed.), Regional Integration, Economic Development and Global Governance, chapter 12, Edward Elgar Publishing.
    4. Łukasz Goczek & Dagmara Mycielska, 2014. "Monetary policy and nominal convergence in CEE countries with inflation targeting," Ekonomia journal, Faculty of Economic Sciences, University of Warsaw, vol. 38.
    5. Volz, Ulrich & Reade, J. James, 2011. "Chinese Monetary Policy and the Dollar Peg," Annual Conference 2011 (Frankfurt, Main): The Order of the World Economy - Lessons from the Crisis 48740, Verein für Socialpolitik / German Economic Association.
    6. J. James Reade & Ulrich Volz, 2009. "Too Much to Lose, or More to Gain? Should Sweden Join the Euro?," Economics Series Working Papers 442, University of Oxford, Department of Economics.
    7. Łukasz Goczek & Dagmara Mycielska, 2013. "Ready for euro? Empirical study of the actual monetary policy independence in Poland," Working Papers 2013-13, Faculty of Economic Sciences, University of Warsaw.
    8. Ewe Ghee Lim & Soo Khoon Goh, 2016. "Is Malaysia exempted from the impossible trinity? An empirical analysis for an emerging market," Macroeconomics and Finance in Emerging Market Economies, Taylor & Francis Journals, vol. 9(2), pages 131-147, July.
    9. Chortareas, Georgios & Mavrodimitrakis, Christos, 2016. "Can monetary policy fully stabilize pure demand shocks in a monetary union with a fiscal leader?," Economic Modelling, Elsevier, vol. 54(C), pages 463-468.
    10. Łukasz Goczek & Dagmara Mycielska, 2013. "Long-run interest rate convergence in Poland and the EMU," Working Papers 2013-21, Faculty of Economic Sciences, University of Warsaw.
    11. Łukasz Goczek & Dagmara Mycielska, 2019. "Actual monetary policy independence in a small open economy: the Polish perspective," Empirical Economics, Springer, vol. 56(2), pages 499-522, February.
    12. Ulrich Volz, 2016. "Regional Financial Integration in East Asia against the Backdrop of Recent European Experiences," International Economic Journal, Taylor & Francis Journals, vol. 30(2), pages 272-293, June.
    13. Goczek, Łukasz & Partyka, Karol J., 2019. "Too small to be independent? On the influence of ECB monetary policy on interest rates of the EEA countries," Economic Modelling, Elsevier, vol. 78(C), pages 180-191.

  15. J. James Reade & Ulrich Volz, 2009. "Too Much to Lose, or More to Gain? Should Sweden Join the Euro?," Economics Series Working Papers 442, University of Oxford, Department of Economics.

    Cited by:

    1. Shahzad, Syed Jawad Hussain & Arreola-Hernandez, Jose & Bekiros, Stelios & Rehman, Mobeen Ur, 2018. "Risk transmitters and receivers in global currency markets," Finance Research Letters, Elsevier, vol. 25(C), pages 1-9.
    2. Stoupos, Nikolaos & Kiohos, Apostolos, 2017. "EU unification and linkages among the European currencies: new evidence from the EU and the EEA," Research in International Business and Finance, Elsevier, vol. 41(C), pages 28-36.
    3. Stoupos, Nikolaos & Kiohos, Apostolos, 2019. "Scandinavia: Towards the European Monetary Union?," The Quarterly Review of Economics and Finance, Elsevier, vol. 74(C), pages 278-291.
    4. J. James Reade & Ulrich Volz, 2011. "When You Got Nothing, You Got Nothing to Lose – Regional Monetary Integration and Policy Independence," Chapters, in: Ulrich Volz (ed.), Regional Integration, Economic Development and Global Governance, chapter 12, Edward Elgar Publishing.
    5. Łukasz Goczek & Dagmara Mycielska, 2014. "Monetary policy and nominal convergence in CEE countries with inflation targeting," Ekonomia journal, Faculty of Economic Sciences, University of Warsaw, vol. 38.
    6. BELAŞCU Lucian, 2016. "The Case of “EMU-Outsiders”: Economic and Political Considerations," European Journal of Interdisciplinary Studies, Bucharest Economic Academy, issue 01, March.
    7. Łukasz Goczek & Dagmara Mycielska, 2013. "Ready for euro? Empirical study of the actual monetary policy independence in Poland," Working Papers 2013-13, Faculty of Economic Sciences, University of Warsaw.
    8. Slawomir Czech, 2015. "The Political Economy Of Staying Outside The Eurozone: Poland And Sweden Compared," Oeconomia Copernicana, Institute of Economic Research, vol. 6(3), pages 23-43, September.
    9. Łukasz Goczek & Dagmara Mycielska, 2013. "Long-run interest rate convergence in Poland and the EMU," Working Papers 2013-21, Faculty of Economic Sciences, University of Warsaw.
    10. D'Adamo, Gaetano, 2010. "Estimating Central Bank preferences in a small open economy: Sweden 1995-2009," MPRA Paper 26575, University Library of Munich, Germany.
    11. Łukasz Goczek & Dagmara Mycielska, 2016. "Euro Dominance Hypothesis and Monetary Policy Independence the Czech Perspective," Prague Economic Papers, University of Economics, Prague, vol. 2016(6), pages 655-670.

  16. Bent Nielsen & J. James Reade, 2004. "Simulating properties of the likelihood ratio test for a unit root in an explosive second order autoregression," Economics Papers 2004-W24, Economics Group, Nuffield College, University of Oxford.

    Cited by:

    1. Bent Nielsen & J. James Reade, 2004. "Simulating properties of the likelihood ratio test for a unit root in an explosive second order autoregression," Economics Papers 2004-W24, Economics Group, Nuffield College, University of Oxford.
    2. Audrey Laporte & Adrian Rohit Dass & Brian Ferguson, 2015. "Is the Rational Addiction model inherently impossible to estimate?," Working Papers 150011, Canadian Centre for Health Economics, revised Jun 2016.

Articles

  1. Brown, Alasdair & Reade, J. James & Vaughan Williams, Leighton, 2019. "When are prediction market prices most informative?," International Journal of Forecasting, Elsevier, vol. 35(1), pages 420-428.

    Cited by:

    1. Oliver Merz & Raphael Flepp & Egon Franck, 2019. "Does sentiment harm market efficiency? An empirical analysis using a betting exchange setting," Working Papers 381, University of Zurich, Department of Business Administration (IBW).
    2. Grainger, Daniel & Stoeckl, Natalie, 2019. "The importance of social learning for non-market valuation," Ecological Economics, Elsevier, vol. 164(C), pages 1-1.
    3. Oliver Merz & Raphael Flepp & Egon Franck, 2019. "Sonic Thunder vs Brian the Snail : Fast-sounding racehorse names and prediction accuracy in betting exchange markets," Working Papers 384, University of Zurich, Department of Business Administration (IBW).

  2. Brown, Alasdair & Reade, J. James, 2019. "The wisdom of amateur crowds: Evidence from an online community of sports tipsters," European Journal of Operational Research, Elsevier, vol. 272(3), pages 1073-1081.

    Cited by:

    1. Carl Singleton & J. James Reade & Alasdair Brown, 2019. "Going with your gut: the (in)accuracy of forecast revisions in a football score prediction game," Economics & Management Discussion Papers em-dp2019-05, Henley Business School, Reading University.
    2. Green, Lawrence & Sung, Ming-Chien & Ma, Tiejun & Johnson, Johnnie E. V., 2019. "To what extent can new web-based technology improve forecasts? Assessing the economic value of information derived from Virtual Globes and its rate of diffusion in a financial market," European Journal of Operational Research, Elsevier, vol. 278(1), pages 226-239.
    3. J. James Reade & Carl Singleton & Alasdair Brown, 2019. "Evaluating Strange Forecasts: The Curious Case of Football Match Scorelines," Economics & Management Discussion Papers em-dp2019-18, Henley Business School, Reading University.

  3. Alasdair Brown & Dooruj Rambaccussing & J. James Reade & Giambattista Rossi, 2018. "Forecasting With Social Media: Evidence From Tweets On Soccer Matches," Economic Inquiry, Western Economic Association International, vol. 56(3), pages 1748-1763, July.

    Cited by:

    1. Carl Singleton & J. James Reade & Alasdair Brown, 2019. "Going with your gut: the (in)accuracy of forecast revisions in a football score prediction game," Economics & Management Discussion Papers em-dp2019-05, Henley Business School, Reading University.
    2. Philip ME Garboden, 2019. "Sources and Types of Big Data for Macroeconomic Forecasting," Working Papers 2019-3, University of Hawaii Economic Research Organization, University of Hawaii at Manoa.
    3. Oliver Merz & Raphael Flepp & Egon Franck, 2019. "Sonic Thunder vs Brian the Snail : Fast-sounding racehorse names and prediction accuracy in betting exchange markets," Working Papers 384, University of Zurich, Department of Business Administration (IBW).
    4. Bowden, James & Kwiatkowski, Andrzej & Rambaccussing, Dooruj, 2019. "Economy through a lens: Distortions of policy coverage in UK national newspapers," Journal of Comparative Economics, Elsevier, vol. 47(4), pages 881-906.
    5. Brown, Alasdair & Reade, J. James, 2019. "The wisdom of amateur crowds: Evidence from an online community of sports tipsters," European Journal of Operational Research, Elsevier, vol. 272(3), pages 1073-1081.
    6. Brown, Alasdair & Reade, J. James & Vaughan Williams, Leighton, 2019. "When are prediction market prices most informative?," International Journal of Forecasting, Elsevier, vol. 35(1), pages 420-428.

  4. Leighton Vaughan Williams & J. James Reade, 2016. "Prediction Markets, Social Media and Information Efficiency," Kyklos, Wiley Blackwell, vol. 69(3), pages 518-556, August.

    Cited by:

    1. Tai, Chung-Ching & Lin, Hung-Wen & Chie, Bin-Tzong & Tung, Chen-Yuan, 2019. "Predicting the failures of prediction markets: A procedure of decision making using classification models," International Journal of Forecasting, Elsevier, vol. 35(1), pages 297-312.
    2. Benesch, Christine & Loretz, Simon & Stadelmann, David & Thomas, Tobias, 2019. "Media coverage and immigration worries: Econometric evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 160(C), pages 52-67.
    3. Philip ME Garboden, 2019. "Sources and Types of Big Data for Macroeconomic Forecasting," Working Papers 2019-3, University of Hawaii Economic Research Organization, University of Hawaii at Manoa.
    4. Oliver Merz & Raphael Flepp & Egon Franck, 2019. "Sonic Thunder vs Brian the Snail : Fast-sounding racehorse names and prediction accuracy in betting exchange markets," Working Papers 384, University of Zurich, Department of Business Administration (IBW).
    5. Lohrmann, Christoph & Luukka, Pasi, 2019. "Classification of intraday S&P500 returns with a Random Forest," International Journal of Forecasting, Elsevier, vol. 35(1), pages 390-407.
    6. Alasdair Brown & Dooruj Rambaccussing & J. James Reade & Giambattista Rossi, 2018. "Forecasting With Social Media: Evidence From Tweets On Soccer Matches," Economic Inquiry, Western Economic Association International, vol. 56(3), pages 1748-1763, July.
    7. Brown, Alasdair & Reade, J. James & Vaughan Williams, Leighton, 2019. "When are prediction market prices most informative?," International Journal of Forecasting, Elsevier, vol. 35(1), pages 420-428.

  5. Leighton Vaughan Williams & J. James Reade, 2016. "Forecasting Elections," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 35(4), pages 308-328, July.

    Cited by:

    1. Tai, Chung-Ching & Lin, Hung-Wen & Chie, Bin-Tzong & Tung, Chen-Yuan, 2019. "Predicting the failures of prediction markets: A procedure of decision making using classification models," International Journal of Forecasting, Elsevier, vol. 35(1), pages 297-312.
    2. Oliver Merz & Raphael Flepp & Egon Franck, 2019. "Does sentiment harm market efficiency? An empirical analysis using a betting exchange setting," Working Papers 381, University of Zurich, Department of Business Administration (IBW).
    3. Alasdair Brown & Dooruj Rambaccussing & J. James Reade & Giambattista Rossi, 2016. "Using Social Media to Identify Market Inefficiencies: Evidence from Twitter and Betfair," Dundee Discussion Papers in Economics 293, Economic Studies, University of Dundee.
    4. Reade, J. James & Vaughan Williams, Leighton, 2019. "Polls to probabilities: Comparing prediction markets and opinion polls," International Journal of Forecasting, Elsevier, vol. 35(1), pages 336-350.
    5. Alasdair Brown & Dooruj Rambaccussing & J. James Reade & Giambattista Rossi, 2016. "Using Social Media to Identify Market Ine!ciencies: Evidence from Twitter and Betfair," Working Papers 2016-002, The George Washington University, Department of Economics, Research Program on Forecasting.
    6. Brown, Alasdair & Yang, Fuyu, 2019. "The wisdom of large and small crowds: Evidence from repeated natural experiments in sports betting," International Journal of Forecasting, Elsevier, vol. 35(1), pages 288-296.
    7. John Fry & Andrew Brint, 2017. "Bubbles, Blind-Spots and Brexit," Risks, MDPI, Open Access Journal, vol. 5(3), pages 1-15, July.
    8. Alasdair Brown & Dooruj Rambaccussing & J. James Reade & Giambattista Rossi, 2018. "Forecasting With Social Media: Evidence From Tweets On Soccer Matches," Economic Inquiry, Western Economic Association International, vol. 56(3), pages 1748-1763, July.
    9. Brown, Alasdair & Reade, J. James & Vaughan Williams, Leighton, 2019. "When are prediction market prices most informative?," International Journal of Forecasting, Elsevier, vol. 35(1), pages 420-428.

  6. Karen Croxson & J. James Reade, 2014. "Information and Efficiency: Goal Arrival in Soccer Betting," Economic Journal, Royal Economic Society, vol. 124(575), pages 62-91, March.
    See citations under working paper version above.
  7. James Reade, 2014. "Information And Predictability: Bookmakers, Prediction Markets And Tipsters As Forecasters," Journal of Prediction Markets, University of Buckingham Press, vol. 8(1), pages 43-76. See citations under working paper version above.
  8. Edoardo Gallo & Thomas Grund & J. James Reade, 2013. "Punishing the Foreigner: Implicit Discrimination in the Premier League Based on Oppositional Identity," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 75(1), pages 136-156, February.
    See citations under working paper version above.
  9. Vasileios Manasis & Vassiliki Avgerinou & Ioannis Ntzoufras & J. James Reade, 2011. "Measurement of competitive balance in professional team sports using the Normalized Concentration Ratio," Economics Bulletin, AccessEcon, vol. 31(3), pages 2529-2540.

    Cited by:

    1. Dorian Owen, 2014. "Measurement of competitive balance and uncertainty of outcome," Chapters, in: John Goddard & Peter Sloane (ed.), Handbook on the Economics of Professional Football, chapter 3, pages 41-59, Edward Elgar Publishing.
    2. James Reade, 2014. "Detecting corruption in football," Chapters, in: John Goddard & Peter Sloane (ed.), Handbook on the Economics of Professional Football, chapter 25, pages 419-446, Edward Elgar Publishing.
    3. P. Dorian Owen & Nicholas King, 2013. "Competitive Balance Measures in Sports Leagues: The Effects of Variation in Season Length," Working Papers 1309, University of Otago, Department of Economics, revised Jul 2013.
    4. John Goddard & Peter Sloane (ed.), 2014. "Handbook on the Economics of Professional Football," Books, Edward Elgar Publishing, number 14821.
    5. Meletakos, Panagiotis & Chatzicharistos, Dimitrios & Apostolidis, Nikolaos & Manasis, Vasilios & Bayios, Ioannis, 2016. "Foreign players and competitive balance in Greek basketball and handball championships," Sport Management Review, Elsevier, vol. 19(4), pages 391-401.

  10. J. James Reade & Ulrich Volz, 2011. "From the General to the Specific—Modelling Inflation in China," Applied Economics Quarterly (formerly: Konjunkturpolitik), Duncker & Humblot, Berlin, vol. 57(1), pages 27-44.

    Cited by:

    1. Jennifer L. Castle & Jurgen A. Doornik & David F. Hendry & Felix Pretis, 2015. "Detecting Location Shifts during Model Selection by Step-Indicator Saturation," Econometrics, MDPI, Open Access Journal, vol. 3(2), pages 1-25, April.

  11. Reade, J. James & Volz, Ulrich, 2011. "Leader of the pack? German monetary dominance in Europe prior to EMU," Economic Modelling, Elsevier, vol. 28(1-2), pages 239-250, January.
    See citations under working paper version above.
  12. Mark Koyama & J. James Reade, 2009. "Playing Like the Home Team: An Economic Investigation into Home Advantage in Football," International Journal of Sport Finance, Fitness Information Technology, vol. 4(1), pages 16-41, February.

    Cited by:

    1. Dohmen, Thomas & Sauermann, Jan, 2015. "Referee Bias," IZA Discussion Papers 8857, Institute of Labor Economics (IZA).

  13. Aris Spanos & David F. Hendry & J. James Reade, 2008. "Linear vs. Log‐linear Unit‐Root Specification: An Application of Mis‐specification Encompassing," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 70(s1), pages 829-847, December.

    Cited by:

    1. Luigi Ermini & David F. Hendry, 2008. "Log Income vs. Linear Income: An Application of the Encompassing Principle," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 70(s1), pages 807-827, December.
    2. Maozu Lu & Grayham E. Mizon & Chiara Monfardini, 2008. "Simulation Encompassing: Testing Non‐nested Hypotheses," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 70(s1), pages 781-806, December.
    3. Masayoshi Hayashi, 2013. "On the Decomposition of Regional Stabilization and Redistribution," CIRJE F-Series CIRJE-F-910, CIRJE, Faculty of Economics, University of Tokyo.
    4. Katarina Juselius & Niels Framroze Møller & Finn Tarp, 2014. "The Long-Run Impact of Foreign Aid in 36 African Countries: Insights from Multivariate Time Series Analysis," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 76(2), pages 153-184, April.
    5. Jennifer L. Castle & Jurgen A. Doornik & David Hendry, 2019. "Some forecasting principles from the M4 competition," Economics Papers 2019-W01, Economics Group, Nuffield College, University of Oxford.

  14. Bent Nielsen & J. James Reade, 2007. "Simulating Properties of the Likelihood Ratio Test for a Unit Root in an Explosive Second-Order Autoregression," Econometric Reviews, Taylor & Francis Journals, vol. 26(5), pages 487-501.
    See citations under working paper version above.

Chapters

  1. J. James Reade & Ulrich Volz, 2011. "When You Got Nothing, You Got Nothing to Lose – Regional Monetary Integration and Policy Independence," Chapters, in: Ulrich Volz (ed.), Regional Integration, Economic Development and Global Governance, chapter 12, Edward Elgar Publishing.

    Cited by:

    1. Leo Frey & Ulrich Volz, 2013. "Regional Financial Integration In Sub-Saharan Africa – An Empirical Examination Of Its Effects On Financial Market Development," South African Journal of Economics, Economic Society of South Africa, vol. 81(1), pages 79-117, March.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 25 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-SPO: Sports & Economics (11) 2011-02-12 2012-05-08 2014-12-29 2018-12-03 2019-03-18 2019-03-25 2019-04-29 2019-06-17 2019-10-14 2020-02-17 2020-03-30. Author is listed
  2. NEP-FOR: Forecasting (6) 2014-12-24 2018-12-03 2019-03-25 2019-04-29 2019-10-14 2020-03-30. Author is listed
  3. NEP-MON: Monetary Economics (6) 2009-04-18 2009-08-22 2010-05-02 2011-02-05 2011-02-12 2011-12-13. Author is listed
  4. NEP-MST: Market Microstructure (5) 2011-12-13 2015-01-03 2016-04-30 2016-05-08 2019-03-25. Author is listed
  5. NEP-CBA: Central Banking (4) 2009-04-18 2011-02-05 2011-02-12 2011-12-13
  6. NEP-MAC: Macroeconomics (4) 2009-04-18 2009-08-22 2010-05-02 2011-02-12
  7. NEP-ECM: Econometrics (2) 2004-12-12 2010-12-04
  8. NEP-EEC: European Economics (2) 2009-08-22 2010-05-02
  9. NEP-EXP: Experimental Economics (2) 2018-12-03 2019-04-29
  10. NEP-TRA: Transition Economics (2) 2011-02-05 2011-12-13
  11. NEP-BIG: Big Data (1) 2019-03-18
  12. NEP-CBE: Cognitive & Behavioural Economics (1) 2019-03-18
  13. NEP-ETS: Econometric Time Series (1) 2010-12-04
  14. NEP-IFN: International Finance (1) 2011-02-05
  15. NEP-MIC: Microeconomics (1) 2010-12-04
  16. NEP-PBE: Public Economics (1) 2011-02-12
  17. NEP-PKE: Post Keynesian Economics (1) 2016-05-08
  18. NEP-POL: Positive Political Economics (1) 2015-01-03

Corrections

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