IDEAS home Printed from https://ideas.repec.org/e/pya96.html
   My authors  Follow this author

Fuyu Yang

Personal Details

First Name:Fuyu
Middle Name:
Last Name:Yang
Suffix:
RePEc Short-ID:pya96
[This author has chosen not to make the email address public]
School of Economics University of East Anglia UK, NR4 7TJ
0044-1603591058

Affiliation

School of Economics
University of East Anglia

Norwich, United Kingdom
http://www.uea.ac.uk/eco/

+44(0)1603 592065
+44(0)1603 4562592
Norwich NR4 7TI
RePEc:edi:esueauk (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Alasdair Brown & Fuyu Yang, 2015. "Salience and the Disposition Effect: Evidence from the Introduction of `Cash-Outs' in Betting Markets," University of East Anglia Applied and Financial Economics Working Paper Series 071, School of Economics, University of East Anglia, Norwich, UK..
  2. 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..
  3. Alasdair Brown & Fuyu Yang, 2014. "The Role of Speculative Trade in Market Efficiency: Evidence from a Betting Exchange," University of East Anglia Applied and Financial Economics Working Paper Series 068, School of Economics, University of East Anglia, Norwich, UK..
  4. 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..
  5. Roberto Leon-Gonzalez & Fuyu Yang, 2014. "Bayesian Inference and Forecasting in the Stationary Bilinear Model," University of East Anglia Applied and Financial Economics Working Paper Series 055, School of Economics, University of East Anglia, Norwich, UK..
  6. Alasdair Brown & Fuyu Yang, 2013. "Limited Cognition and Clustered Asset Prices: Evidence from Betting Markets," University of East Anglia Applied and Financial Economics Working Paper Series 054, School of Economics, University of East Anglia, Norwich, UK..
  7. Roberto Leon-Gonzalez & Fuyu Yang, 2010. "Bayesian Estimation and Model Selection in the Generalised Stochastic Unit Root Model," SFB 649 Discussion Papers SFB649DP2010-006, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
  8. Nikolaus Hautsch & Fuyu Yang, 2010. "Bayesian Inference in a Stochastic Volatility Nelson-Siegel Model," SFB 649 Discussion Papers SFB649DP2010-004, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.

Articles

  1. 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.
  2. Alasdair Brown & Fuyu Yang, 2017. "Salience and the Disposition Effect: Evidence from the Introduction of “Cash‐Outs” in Betting Markets," Southern Economic Journal, John Wiley & Sons, vol. 83(4), pages 1052-1073, April.
  3. Alasdair Brown & Fuyu Yang, 2017. "Have Betting Exchanges Corrupted Horse Racing?," Journal of Sports Economics, , vol. 18(7), pages 673-697, October.
  4. Alasdair Brown & Fuyu Yang, 2017. "Selection and incentives in contests: evidence from horse racing," Applied Economics Letters, Taylor & Francis Journals, vol. 24(4), pages 250-253, February.
  5. Alasdair Brown & Fuyu Yang, 2017. "The Role of Speculative Trade in Market Efficiency: Evidence from a Betting Exchange," Review of Finance, European Finance Association, vol. 21(2), pages 583-603.
  6. Brown, Alasdair & Yang, Fuyu, 2016. "Limited cognition and clustered asset prices: Evidence from betting markets," Journal of Financial Markets, Elsevier, vol. 29(C), pages 27-46.
  7. Brown, Alasdair & Yang, Fuyu, 2015. "Does society underestimate women? Evidence from the performance of female jockeys in horse racing," Journal of Economic Behavior & Organization, Elsevier, vol. 111(C), pages 106-118.
  8. Hautsch, Nikolaus & Yang, Fuyu, 2012. "Bayesian inference in a Stochastic Volatility Nelson–Siegel model," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3774-3792.
  9. Yang Fuyu & Leon-Gonzalez Roberto, 2010. "Bayesian Estimation and Model Selection in the Generalized Stochastic Unit Root Model," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 14(4), pages 1-38, September.

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.

Working papers

  1. 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..

    Cited by:

    1. Vasilios Mavroudis, 2019. "Market Manipulation as a Security Problem," Papers 1903.12458, arXiv.org.
    2. Vasilios Mavroudis & Hayden Melton, 2019. "Libra: Fair Order-Matching for Electronic Financial Exchanges," Papers 1910.00321, arXiv.org.

  2. Alasdair Brown & Fuyu Yang, 2014. "The Role of Speculative Trade in Market Efficiency: Evidence from a Betting Exchange," University of East Anglia Applied and Financial Economics Working Paper Series 068, School of Economics, University of East Anglia, Norwich, UK..

    Cited by:

    1. Chen, Cathy Yi-Hsuan & Hafner, Christian, 2019. "Sentiment-Induced Bubbles in the Cryptocurrency Market," ISBA Reprints (ISBA - Institute of Statistics, Biostatistics and Actuarial Sciences) 2019053, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    2. Alasdair Brown & Fuyu Yang, 2015. "Salience and the Disposition Effect: Evidence from the Introduction of `Cash-Outs' in Betting Markets," University of East Anglia Applied and Financial Economics Working Paper Series 071, School of Economics, University of East Anglia, Norwich, UK..
    3. 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).
    4. Gonçalves, Rui & Ribeiro, Vitor Miguel & Pereira, Fernando Lobo & Rocha, Ana Paula, 2019. "Deep learning in exchange markets," Information Economics and Policy, Elsevier, vol. 47(C), pages 38-51.
    5. 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.
    6. 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. 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, H. O. Stekler Research Program on Forecasting.
    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. 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..

  3. Alasdair Brown & Fuyu Yang, 2013. "Limited Cognition and Clustered Asset Prices: Evidence from Betting Markets," University of East Anglia Applied and Financial Economics Working Paper Series 054, School of Economics, University of East Anglia, Norwich, UK..

    Cited by:

    1. Gao, Shenghao & Lu, Ruichang & Ni, Chenkai, 2019. "Institutional investors’ cognitive constraints during initial public offerings," Journal of Banking & Finance, Elsevier, vol. 108(C).
    2. 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.
    3. Urquhart, Andrew, 2017. "Price clustering in Bitcoin," Economics Letters, Elsevier, vol. 159(C), pages 145-148.
    4. Baig, Ahmed S. & Sabah, Nasim, 2020. "Does short selling affect the clustering of stock prices?," The Quarterly Review of Economics and Finance, Elsevier, vol. 76(C), pages 270-277.

  4. Nikolaus Hautsch & Fuyu Yang, 2010. "Bayesian Inference in a Stochastic Volatility Nelson-Siegel Model," SFB 649 Discussion Papers SFB649DP2010-004, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.

    Cited by:

    1. Nicole Wiebach & Lutz Hildebrandt, 2010. "Context Effects as Customer Reaction on Delisting of Brands," SFB 649 Discussion Papers SFB649DP2010-056, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    2. Janek, Agnieszka & Kluge, Tino & Weron, Rafal & Wystup, Uwe, 2010. "FX Smile in the Heston Model," MPRA Paper 25491, University Library of Munich, Germany.
    3. Hautsch, Nikolaus & Ou, Yangguoyi, 2009. "Analyzing interest rate risk: Stochastic volatility in the term structure of government bond yields," CFS Working Paper Series 2009/03, Center for Financial Studies (CFS).
    4. Minchul Shin & Molin Zhong, 2015. "Does Realized Volatility Help Bond Yield Density Prediction?," Finance and Economics Discussion Series 2015-115, Board of Governors of the Federal Reserve System (U.S.), revised 18 Dec 2015.
    5. Byrne, Joseph & Cao, Shuo & Korobilis, Dimitris, 2015. "Term Structure Dynamics, Macro-Finance Factors and Model Uncertainty," MPRA Paper 63844, University Library of Munich, Germany.
    6. Laurini, Márcio P. & Caldeira, João F., 2016. "A macro-finance term structure model with multivariate stochastic volatility," International Review of Economics & Finance, Elsevier, vol. 44(C), pages 68-90.
    7. Nikolaus Hautsch & Peter Malec & Melanie Schienle, 2010. "Capturing the Zero: A New Class of Zero-Augmented Distributions and Multiplicative Error Processes," SFB 649 Discussion Papers SFB649DP2010-055, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    8. Márcio Laurini, 2012. "Dynamic Functional Data Analysis with Nonparametric State Space Models," IBMEC RJ Economics Discussion Papers 2012-01, Economics Research Group, IBMEC Business School - Rio de Janeiro.
    9. Márcio Poletti Laurini & Armênio Westin Neto, 2014. "Arbitrage in the Term Structure of Interest Rates: a Bayesian Approach," International Econometric Review (IER), Econometric Research Association, vol. 6(2), pages 77-99, September.
    10. Wolfgang Karl Härdle & Rouslan Moro & Linda Hoffmann, 2010. "Learning Machines Supporting Bankruptcy Prediction," SFB 649 Discussion Papers SFB649DP2010-032, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    11. Christian Basteck & Tijmen R. Daniëls, 2010. "Every Symmetric 3 x 3 Global Game of Strategic Complementarities Is Noise Independent," SFB 649 Discussion Papers SFB649DP2010-061, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    12. Franziska Schulze, 2010. "Spatial Dependencies in German Matching Functions," SFB 649 Discussion Papers SFB649DP2010-054, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    13. Burnecki, Krzysztof & Janczura, Joanna & Weron, Rafal, 2010. "Building Loss Models," MPRA Paper 25492, University Library of Munich, Germany.
    14. Alexander L. Baranovski, 2010. "Dynamical systems forced by shot noise as a new paradigm in the interest rate modeling," SFB 649 Discussion Papers SFB649DP2010-037, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    15. Ulrich Horst & Santiago Moreno-Bromberg, 2011. "Efficiency and Equilibria in Games of Optimal Derivative Design," Papers 1107.0839, arXiv.org.
    16. Borak, Szymon & Misiorek, Adam & Weron, Rafal, 2010. "Models for Heavy-tailed Asset Returns," MPRA Paper 25494, University Library of Munich, Germany.
    17. Enno Mammen & Christoph Rothe & Melanie Schienle, 2010. "Nonparametric Regression with Nonparametrically Generated Covariates," SFB 649 Discussion Papers SFB649DP2010-059, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    18. Ralf Sabiwalsky, 2010. "Executive Compensation Regulation and the Dynamics of the Pay-Performance Sensitivity," SFB 649 Discussion Papers SFB649DP2010-051, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    19. Raviv, Eran, 2015. "Prediction bias correction for dynamic term structure models," Economics Letters, Elsevier, vol. 129(C), pages 112-115.
    20. Carolin Hecht & Katja Hanewald, 2010. "Sociodemographic, Economic, and Psychological Drivers of the Demand for Life Insurance: Evidence from the German Retirement Income Act," SFB 649 Discussion Papers SFB649DP2010-034, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    21. Vladimir Panov, 2010. "Estimation of the signal subspace without estimation of the inverse covariance matrix," SFB 649 Discussion Papers SFB649DP2010-050, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    22. Sourish Das, 2018. "Modeling Nelson-Siegel Yield Curve using Bayesian Approach," Papers 1809.06077, arXiv.org, revised Oct 2018.
    23. Cem Çakmakli, 2012. "Bayesian Semiparametric Dynamic Nelson-Siegel Model," Working Paper series 59_12, Rimini Centre for Economic Analysis, revised Sep 2012.
    24. Maria Grith & Volker Krätschmer, 2010. "Parametric estimation of risk neutral density functions," SFB 649 Discussion Papers SFB649DP2010-045, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.

Articles

  1. 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.

    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. Fischer, Kai & Haucap, Justus, 2020. "Betting market efficiency in the presence of unfamiliar shocks: The case of ghost games during the COVID-19 pandemic," DICE Discussion Papers 349, University of Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    3. Andrés Barge-Gil & Alfredo Garcia-Hiernaux, 2020. "Staking in Sports Betting Under Unknown Probabilities: Practical Guide for Profitable Bettors," Journal of Sports Economics, , vol. 21(6), pages 593-609, August.

  2. Alasdair Brown & Fuyu Yang, 2017. "The Role of Speculative Trade in Market Efficiency: Evidence from a Betting Exchange," Review of Finance, European Finance Association, vol. 21(2), pages 583-603. See citations under working paper version above.
  3. Brown, Alasdair & Yang, Fuyu, 2016. "Limited cognition and clustered asset prices: Evidence from betting markets," Journal of Financial Markets, Elsevier, vol. 29(C), pages 27-46.
    See citations under working paper version above.
  4. Brown, Alasdair & Yang, Fuyu, 2015. "Does society underestimate women? Evidence from the performance of female jockeys in horse racing," Journal of Economic Behavior & Organization, Elsevier, vol. 111(C), pages 106-118.

    Cited by:

    1. Aurelie Charles & Dongxu Wu & Zhongmin Wu, 2019. "Economic Shocks on Subjective Well-Being: Re-assessing the Determinants of Life-Satisfaction After the 2008 Financial Crisis," Journal of Happiness Studies, Springer, vol. 20(4), pages 1041-1055, April.
    2. Michael Leeds & Hugh Rockoff, 2019. "Beating the Odds: Black Jockeys in the Kentucky Derby, 1870-1911," NBER Working Papers 25461, National Bureau of Economic Research, Inc.

  5. Hautsch, Nikolaus & Yang, Fuyu, 2012. "Bayesian inference in a Stochastic Volatility Nelson–Siegel model," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3774-3792.
    See citations under working paper version above.

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 5 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-ECM: Econometrics (3) 2010-01-23 2010-01-30 2014-01-10
  2. NEP-ETS: Econometric Time Series (3) 2010-01-23 2010-01-30 2014-01-10
  3. NEP-MST: Market Microstructure (2) 2014-12-24 2015-05-09
  4. NEP-CTA: Contract Theory & Applications (1) 2015-05-09
  5. NEP-FOR: Forecasting (1) 2014-01-10
  6. NEP-ORE: Operations Research (1) 2010-01-23

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, Fuyu Yang should log into the RePEc Author Service.

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

Please note that most corrections can take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.