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Peiran Jiao

Personal Details

First Name:Peiran
Middle Name:
Last Name:Jiao
Suffix:
RePEc Short-ID:pji140
[This author has chosen not to make the email address public]
Department of Economics University of Oxford Mannor Road Building, Mannor Road Oxford, OX1 3UQ, UK
+44(0)1865 278993
Terminal Degree:2014 Department of Economics; School of Politics and Economics; Claremont Graduate University (from RePEc Genealogy)

Affiliation

(50%) Economics Group, Nuffield College
Department of Economics
Oxford University

Oxford, United Kingdom
http://www.nuffield.ox.ac.uk/Research/Economics-Group/Pages/Economics.aspx
RePEc:edi:egpoxuk (more details at EDIRC)

(50%) Department of Economics
Oxford University

Oxford, United Kingdom
http://www.economics.ox.ac.uk/
RePEc:edi:sfeixuk (more details at EDIRC)

Research output

as
Jump to: Working papers Articles Chapters

Working papers

  1. Avery, Mallory & Giuntella, Osea & Jiao, Peiran, 2019. "Why Don't We Sleep Enough? A Field Experiment among College Students," IZA Discussion Papers 12772, Institute of Labor Economics (IZA).
  2. Amos Nadler & Veronika Alexander & Cameron J. Johnson & Paul J. Zak, 2016. "The Bull of Wall Street: Experimental Analysis of Testosterone and Asset Trading," Economics Series Working Papers 806, University of Oxford, Department of Economics.
  3. Peiran Jiao & Heinrich H. Nax, 2016. "When is Market the Benchmark? Reinforcement Evidence from Repurchase Decisions," Economics Papers 2016-W01, Economics Group, Nuffield College, University of Oxford.
  4. Andre Veiga & Ansgar Walther, 2016. "Social Media, News Media and the Stock Market," Economics Series Working Papers Paper-805, University of Oxford, Department of Economics.
  5. Peiran Jiao, 2015. "The Double-Channeled Effects of Experience on Individual Investment Decisions: Experimental Evidence," Economics Series Working Papers 766, University of Oxford, Department of Economics.
  6. Peiran Jiao, 2015. "Losing from Naive Reinforcement Learning: A Survival Analysis of Individual Repurchase Decisions," Economics Series Working Papers 765, University of Oxford, Department of Economics.

Articles

  1. Peiran Jiao, 2020. "Payoff-Based Belief Distortion," The Economic Journal, Royal Economic Society, vol. 130(629), pages 1416-1444.
  2. Jiao, Peiran & Veiga, André & Walther, Ansgar, 2020. "Social media, news media and the stock market," Journal of Economic Behavior & Organization, Elsevier, vol. 176(C), pages 63-90.
  3. Amos Nadler & Peiran Jiao & Cameron J. Johnson & Veronika Alexander & Paul J. Zak, 2019. "The Bull of Wall Street: Experimental Analysis of Testosterone and Asset Trading," Management Science, INFORMS, vol. 64(9), pages 4032-4051, September.
  4. Yan Zhou & Peiran Jiao & Qilin Zhang, 2017. "Second-party and third-party punishment in a public goods experiment," Applied Economics Letters, Taylor & Francis Journals, vol. 24(1), pages 54-57, January.
  5. Peiran Jiao, 2017. "Belief in Mean Reversion and the Disposition Effect: An Experimental Test," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 18(1), pages 29-44, January.

Chapters

  1. Peiran Jiao, 2022. "The double-channeled effects of experienced payoffs in investment decisions," Chapters, in: Sascha Füllbrunn & Ernan Haruvy (ed.), Handbook of Experimental Finance, chapter 11, pages 117-131, 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.

Working papers

  1. Avery, Mallory & Giuntella, Osea & Jiao, Peiran, 2019. "Why Don't We Sleep Enough? A Field Experiment among College Students," IZA Discussion Papers 12772, Institute of Labor Economics (IZA).

    Cited by:

    1. Joan Costa‐Font & Sarah Fleche & Ricardo Pagan, 2024. "The welfare effects of time reallocation: evidence from Daylight Saving Time," Economica, London School of Economics and Political Science, vol. 91(362), pages 547-568, April.
    2. Giuntella, Osea & Lonsky, Jakub & Mazzonna, Fabrizio & Stella, Luca, 2021. "Immigration policy and immigrants’ sleep. Evidence from DACA," Journal of Economic Behavior & Organization, Elsevier, vol. 182(C), pages 1-12.
    3. Costa-Font, Joan & Fleche, Sarah & Pagan, Ricardo, 2024. "The welfare effects of time reallocation: evidence from Daylight Saving Time," LSE Research Online Documents on Economics 120819, London School of Economics and Political Science, LSE Library.
    4. Jin, Lawrence & Ziebarth, Nicolas R., 2020. "Sleep, health, and human capital: Evidence from daylight saving time," Journal of Economic Behavior & Organization, Elsevier, vol. 170(C), pages 174-192.
    5. Jonathan James, 2023. "Let there be light: Daylight saving time and road traffic collisions," Economic Inquiry, Western Economic Association International, vol. 61(3), pages 523-545, July.
    6. Breig, Zachary & Gibson, Matthew & Shrader, Jeffrey G., 2020. "Why Do We Procrastinate? Present Bias and Optimism," IZA Discussion Papers 13060, Institute of Labor Economics (IZA).
    7. Joan Costa-Font, 2022. "Incentivizing sleep?," IZA World of Labor, Institute of Labor Economics (IZA), pages 502-502, November.
    8. Almond, Douglas & Du, Xinming, 2020. "Later bedtimes predict President Trump’s performance," Economics Letters, Elsevier, vol. 197(C).

  2. Amos Nadler & Veronika Alexander & Cameron J. Johnson & Paul J. Zak, 2016. "The Bull of Wall Street: Experimental Analysis of Testosterone and Asset Trading," Economics Series Working Papers 806, University of Oxford, Department of Economics.

    Cited by:

    1. Kocher, Martin G. & Lucks, Konstantin E. & Schindler, David, 2016. "Unleashing Animal Spirits - Self-Control and Overpricing in Experimental Asset Markets," Discussion Papers in Economics 27572, University of Munich, Department of Economics.
    2. Li, Jianbiao & Niu, Xiaofei & Li, Dahui & Cao, Qian, 2018. "Using Non-Invasive Brain Stimulation to Test the Role of Self-Control in Investor Behavior," EconStor Preprints 177890, ZBW - Leibniz Information Centre for Economics.
    3. Nofsinger, John R. & Patterson, Fernando M. & Shank, Corey A., 2018. "Decision-making, financial risk aversion, and behavioral biases: The role of testosterone and stress," Economics & Human Biology, Elsevier, vol. 29(C), pages 1-16.
    4. Zhou Lu & Te Bao & Xiaohua Yu, 2021. "Gender and Bubbles in Experimental Markets with Positive and Negative Expectation Feedback," Computational Economics, Springer;Society for Computational Economics, vol. 57(4), pages 1307-1326, April.
    5. Arbex, Marcelo Aarestru & Carré, Justin M. & Geniole, Shawn N. & Mattos, Enlinson, 2018. "Tax evasion, testosterone and personality traits," Textos para discussão 466, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).

  3. Andre Veiga & Ansgar Walther, 2016. "Social Media, News Media and the Stock Market," Economics Series Working Papers Paper-805, University of Oxford, Department of Economics.

    Cited by:

    1. Tanaka, Yoshitaka & Managi, Shunsuke, 2023. "Attention-Grabbing ESG," MPRA Paper 116786, University Library of Munich, Germany.
    2. Gbenga Ibikunle & Vito Mollica & Qiao Sun, 2021. "Jumps in foreign exchange spot rates and the informational efficiency of currency forwards," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(8), pages 1201-1219, August.
    3. Xiaoman, Jin & Qing, Li & Jun, Wang & Jingmei, Zhao, 2023. "Voice or noise? Repetitive information and stock performance," Finance Research Letters, Elsevier, vol. 52(C).
    4. Haque, Md Ziaul & Qian, Aimin & Hoque, Md Rakibul & Lucky, Suraiea Akter, 2022. "A unified framework for exploring the determinants of online social networks (OSNs) on institutional investors’ capital market investment decision," Technology in Society, Elsevier, vol. 70(C).
    5. Huynh, Toan Luu Duc & Foglia, Matteo & Nasir, Muhammad Ali & Angelini, Eliana, 2021. "Feverish sentiment and global equity markets during the COVID-19 pandemic," Journal of Economic Behavior & Organization, Elsevier, vol. 188(C), pages 1088-1108.
    6. Qingchong Chen & Xiong Xiong & Ya Gao, 2021. "Is information really efficient for the market? Evidence of confirmatory bias in China," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(5), pages 5965-5997, December.
    7. Tumasjan, Andranik & Braun, Reiner & Stolz, Barbara, 2021. "Twitter sentiment as a weak signal in venture capital financing," Journal of Business Venturing, Elsevier, vol. 36(2).
    8. Xiaohong Shen & Gaoshan Wang & Yue Wang & Alfred Peris, 2021. "The Influence of Research Reports on Stock Returns: The Mediating Effect of Machine-Learning-Based Investor Sentiment," Discrete Dynamics in Nature and Society, Hindawi, vol. 2021, pages 1-14, December.
    9. Thomas Boulton & Bill B. Francis & Thomas Shohfi & Daqi Xin, 2021. "Investor awareness or information asymmetry? Wikipedia and IPO underpricing," The Financial Review, Eastern Finance Association, vol. 56(3), pages 535-561, August.
    10. Scoles, Brooke & Nicodemo, Catia, 2022. "Doctors’ attitudes toward specific medical conditions," Journal of Economic Behavior & Organization, Elsevier, vol. 204(C), pages 182-199.
    11. Dulani Jayasuriya & Ben O’Neill, 2021. "Social Media’s Impact on the Global Mergers and Acquisitions Market," JRFM, MDPI, vol. 14(4), pages 1-41, April.
    12. Jie Ren & Hang Dong & Balaji Padmanabhan & Jeffrey V. Nickerson, 2021. "How does social media sentiment impact mass media sentiment? A study of news in the financial markets," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(9), pages 1183-1197, September.
    13. Alex Frino & Caihong Xu & Z. Ivy Zhou, 2022. "Are option traders more informed than Twitter users? A PVAR analysis," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(9), pages 1755-1771, September.
    14. Cristina Angelico & Juri Marcucci & Marcello Miccoli & Filippo Quarta, 2021. "Can we measure inflation expectations using Twitter?," Temi di discussione (Economic working papers) 1318, Bank of Italy, Economic Research and International Relations Area.
    15. Alomari, Mohammad & Al Rababa’a, Abdel Razzaq & El-Nader, Ghaith & Alkhataybeh, Ahmad & Ur Rehman, Mobeen, 2021. "Examining the effects of news and media sentiments on volatility and correlation: Evidence from the UK," The Quarterly Review of Economics and Finance, Elsevier, vol. 82(C), pages 280-297.
    16. Abdi, Farshid & Kormanyos, Emily & Pelizzon, Loriana & Getmansky, Mila & Simon, Zorka, 2021. "Market impact of government communication: The case of presidential tweets," SAFE Working Paper Series 314, Leibniz Institute for Financial Research SAFE, revised 2021.
    17. Justina Deveikyte & Helyette Geman & Carlo Piccari & Alessandro Provetti, 2020. "A Sentiment Analysis Approach to the Prediction of Market Volatility," Papers 2012.05906, arXiv.org.
    18. Ndubuisi, Gideon & Urom, Christian, 2023. "Dependence and risk spillovers among clean cryptocurrencies prices and media environmental attention," Research in International Business and Finance, Elsevier, vol. 65(C).
    19. Shuyu Zhang & Xuanyu Zhou & Huifeng Pan & Junyi Jia, 2019. "Cryptocurrency, confirmatory bias and news readability – evidence from the largest Chinese cryptocurrency exchange," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 58(5), pages 1445-1468, March.
    20. Yongan Xu & Jianqiong Wang & Zhonglu Chen & Chao Liang, 2023. "Sentiment indices and stock returns: Evidence from China," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(1), pages 1063-1080, January.
    21. Tripathi, Abhinava & Pandey, Ashish, 2021. "Information dissemination across global markets during the spread of COVID-19 pandemic," International Review of Economics & Finance, Elsevier, vol. 74(C), pages 103-115.

  4. Peiran Jiao, 2015. "The Double-Channeled Effects of Experience on Individual Investment Decisions: Experimental Evidence," Economics Series Working Papers 766, University of Oxford, Department of Economics.

    Cited by:

    1. Heinrich H. Nax, 2016. "When is Market the Benchmark? Reinforcement Evidence from Repurchase Decisions," Economics Series Working Papers 781, University of Oxford, Department of Economics.

  5. Peiran Jiao, 2015. "Losing from Naive Reinforcement Learning: A Survival Analysis of Individual Repurchase Decisions," Economics Series Working Papers 765, University of Oxford, Department of Economics.

    Cited by:

    1. Brettschneider, Julia & Burro, Giovanni & Henderson, Vicky, 2021. "Wide framing disposition effect: An empirical study," Journal of Economic Behavior & Organization, Elsevier, vol. 185(C), pages 330-347.

Articles

  1. Peiran Jiao, 2020. "Payoff-Based Belief Distortion," The Economic Journal, Royal Economic Society, vol. 130(629), pages 1416-1444.

    Cited by:

    1. Victor Augias & Daniel M A Barreto, 2022. "Persuading a Wishful Thinker," Working Papers hal-04066849, HAL.
    2. Victor Augias & Daniel M A Barreto, 2022. "Persuading a Wishful Thinker," SciencePo Working papers Main hal-04066849, HAL.
    3. Doron Sonsino & Yaron Lahav & Yefim Roth, 2022. "Reaching for Returns in Retail Structured Investment," Management Science, INFORMS, vol. 68(1), pages 466-486, January.
    4. Mohammed Abdellaoui & Han Bleichrodt & Cédric Gutierrez, 2023. "Unpacking Overconfident Behavior When Betting on Oneself," Post-Print hal-04383402, HAL.

  2. Jiao, Peiran & Veiga, André & Walther, Ansgar, 2020. "Social media, news media and the stock market," Journal of Economic Behavior & Organization, Elsevier, vol. 176(C), pages 63-90.
    See citations under working paper version above.
  3. Amos Nadler & Peiran Jiao & Cameron J. Johnson & Veronika Alexander & Paul J. Zak, 2019. "The Bull of Wall Street: Experimental Analysis of Testosterone and Asset Trading," Management Science, INFORMS, vol. 64(9), pages 4032-4051, September.
    See citations under working paper version above.
  4. Yan Zhou & Peiran Jiao & Qilin Zhang, 2017. "Second-party and third-party punishment in a public goods experiment," Applied Economics Letters, Taylor & Francis Journals, vol. 24(1), pages 54-57, January.

    Cited by:

    1. Quan, Ji & Liu, Wei & Chu, Yuqing & Wang, Xianjia, 2018. "Stochastic dynamics and stable equilibrium of evolutionary optional public goods game in finite populations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 502(C), pages 123-134.
    2. Guerra, Alice & Zhuravleva, Tatyana, 2021. "Do bystanders react to bribery?," Journal of Economic Behavior & Organization, Elsevier, vol. 185(C), pages 442-462.

  5. Peiran Jiao, 2017. "Belief in Mean Reversion and the Disposition Effect: An Experimental Test," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 18(1), pages 29-44, January.

    Cited by:

    1. Huber, Christoph & Huber, Juergen & Kirchler, Michael, 2021. "Volatility shocks and investment behavior," OSF Preprints jr4eb, Center for Open Science.
    2. Corneille, Olivier & De Winne, Rudy & D'Hondt, Catherine, 2018. "The Disposition Effect does not survive disclosure of expected price trends," LIDAM Reprints LFIN 2018003, Université catholique de Louvain, Louvain Finance (LFIN).
    3. Janssen, Dirk-Jan & Li, Jiangyan & Qiu, Jianying & Weitzel, Utz, 2020. "The disposition effect and underreaction to private information," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
    4. Vanessa Martins Valcanover & Igor Bernardi Sonza & Wesley Vieira da Silva, 2020. "Behavioral Finance Experiments: A Recent Systematic Literature Review," SAGE Open, , vol. 10(4), pages 21582440209, November.
    5. Kahya, Evrim Hilal & Ekinci, Cumhur, 2022. "Disposition bias among Borsa Istanbul investors: What do we know about type, size and trading frequency?," Journal of Behavioral and Experimental Finance, Elsevier, vol. 35(C).

Chapters

    Sorry, no citations of chapters recorded.

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-EXP: Experimental Economics (4) 2015-12-08 2016-11-20 2019-12-02 2022-10-03. Author is listed
  2. NEP-MST: Market Microstructure (2) 2016-11-20 2016-11-20. Author is listed
  3. NEP-CBE: Cognitive and Behavioural Economics (1) 2015-12-08
  4. NEP-DCM: Discrete Choice Models (1) 2022-10-03
  5. NEP-FMK: Financial Markets (1) 2016-11-20
  6. NEP-HEA: Health Economics (1) 2019-12-02
  7. NEP-LMA: Labor Markets - Supply, Demand, and Wages (1) 2022-10-03
  8. NEP-NET: Network Economics (1) 2016-11-20
  9. NEP-NEU: Neuroeconomics (1) 2022-10-03
  10. NEP-UPT: Utility Models and Prospect Theory (1) 2015-12-08

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