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Songzi Du

Personal Details

First Name:Songzi
Middle Name:
Last Name:Du
Suffix:
RePEc Short-ID:pdu334
[This author has chosen not to make the email address public]
https://econweb.ucsd.edu/~sodu/

Affiliation

Department of Economics
University of California-San Diego (UCSD)

La Jolla, California (United States)
http://economics.ucsd.edu/

(858) 534-3383
(858) 534-7040
9500 Gilman Drive, La Jolla, CA 92093-0508
RePEc:edi:deucsus (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Songzi Du & Haoxiang Zhu, 2014. "Welfare and Optimal Trading Frequency in Dynamic Double Auctions," NBER Working Papers 20588, National Bureau of Economic Research, Inc.

Articles

  1. Songzi Du, 2018. "Robust Mechanisms Under Common Valuation," Econometrica, Econometric Society, vol. 86(5), pages 1569-1588, September.
  2. Songzi Du & Haoxiang Zhu, 2017. "What is the Optimal Trading Frequency in Financial Markets?," Review of Economic Studies, Oxford University Press, vol. 84(4), pages 1606-1651.
  3. Songzi Du & Haoxiang Zhu, 2017. "Are CDS Auctions Biased and Inefficient?," Journal of Finance, American Finance Association, vol. 72(6), pages 2589-2628, December.
  4. Du, Songzi & Zhu, Haoxiang, 2017. "Bilateral trading in divisible double auctions," Journal of Economic Theory, Elsevier, vol. 167(C), pages 285-311.
  5. Du, Songzi, 2012. "Correlated equilibrium and higher order beliefs about play," Games and Economic Behavior, Elsevier, vol. 76(1), pages 74-87.

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. Songzi Du & Haoxiang Zhu, 2014. "Welfare and Optimal Trading Frequency in Dynamic Double Auctions," NBER Working Papers 20588, National Bureau of Economic Research, Inc.

    Cited by:

    1. Cespa, Giovanni & Vives, Xavier, 2017. "High Frequency Trading and Fragility," IESE Research Papers D/1161, IESE Business School.
    2. Franklin Allen & Julapa Jagtiani, 2020. "A Survey of Fintech Research and Policy Discussion," Working Papers 20-21, Federal Reserve Bank of Philadelphia.
    3. Albert S. Kyle & Anna Obizhaeva & Yajun Wang, 2016. "Smooth Trading with Overconfidence and Market Power," Working Papers w0226, New Economic School (NES).
    4. Robert Shimer & Gregor Jarosch & Maryam Farboodi, 2016. "Meeting Technologies in Decentralized Asset Markets," 2016 Meeting Papers 844, Society for Economic Dynamics.
    5. Giovanni Cespa & Xavier Vives, 2016. "Market Transparency and Fragility," CESifo Working Paper Series 6279, CESifo.
    6. Pavan, Alessandro & Vives, Xavier, 2015. "Information, Coordination, and Market Frictions: An Introduction," Journal of Economic Theory, Elsevier, vol. 158(PB), pages 407-426.
    7. Albert S. Kyle & Anna Obizhaeva & Yajun Wang, 2016. "Smooth Trading with Overconfidence and Market Power," Working Papers w0226, Center for Economic and Financial Research (CEFIR).
    8. Marlene Haas & Marius Andrei Zoican, 2016. "Beyond the Frequency Wall: Speed and Liquidity on Batch Auction Markets," Post-Print hal-01484805, HAL.
    9. Andriy Shkilko & Konstantin Sokolov, 2020. "Every Cloud Has a Silver Lining: Fast Trading, Microwave Connectivity, and Trading Costs," Journal of Finance, American Finance Association, vol. 75(6), pages 2899-2927, December.

Articles

  1. Songzi Du, 2018. "Robust Mechanisms Under Common Valuation," Econometrica, Econometric Society, vol. 86(5), pages 1569-1588, September.

    Cited by:

    1. Alex Suzdaltsev, 2020. "Distributionally Robust Pricing in Independent Private Value Auctions," Papers 2008.01618, arXiv.org, revised Aug 2020.
    2. Richard McLean & Andrew Postlewaite, 2018. "A Very Robust Auction Mechanism," PIER Working Paper Archive 18-001, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 16 Jan 2018.
    3. Seifert, Stefan & Hüttel, Silke, 2020. "Common values and unobserved heterogeneity in farmland auctions in Germany," FORLand Working Papers 21 (2020), Humboldt University Berlin, DFG Research Unit 2569 FORLand "Agricultural Land Markets – Efficiency and Regulation".
    4. Dirk Bergemann & Benjamin Brooks & Stephen Morris, 2018. "Countering the Winner’s Curse: Optimal Auction Design in a Common Value Model," Cowles Foundation Discussion Papers 2147R, Cowles Foundation for Research in Economics, Yale University, revised Jun 2019.
    5. Alex Suzdaltsev, 2020. "An Optimal Distributionally Robust Auction," Papers 2006.05192, arXiv.org, revised Aug 2020.
    6. Jin Xi & Haitian Xie, 2021. "Strength in Numbers: Robust Mechanisms for Public Goods with Many Agents," Papers 2101.02423, arXiv.org, revised Jan 2021.
    7. S. Nageeb Ali & Nima Haghpanah & Xiao Lin & Ron Siegel, 2020. "How to Sell Hard Information," Papers 2010.08037, arXiv.org.
    8. Ethan Che, 2019. "Distributionally Robust Optimal Auction Design under Mean Constraints," Papers 1911.07103, arXiv.org, revised Mar 2020.

  2. Songzi Du & Haoxiang Zhu, 2017. "What is the Optimal Trading Frequency in Financial Markets?," Review of Economic Studies, Oxford University Press, vol. 84(4), pages 1606-1651.

    Cited by:

    1. Collin-Dufresne, Pierre & Daniel, Kent & Sağlam, Mehmet, 2020. "Liquidity regimes and optimal dynamic asset allocation," Journal of Financial Economics, Elsevier, vol. 136(2), pages 379-406.
    2. Ravi Jagannathan, 2019. "On Frequent Batch Auctions for Stocks," NBER Working Papers 26341, National Bureau of Economic Research, Inc.
    3. Pio Baake & Sebastian Schwenen & Christian von Hirschhausen, 2020. "Local Power Markets," Discussion Papers of DIW Berlin 1904, DIW Berlin, German Institute for Economic Research.
    4. Roşu, Ioanid, 2019. "Fast and slow informed trading," Journal of Financial Markets, Elsevier, vol. 43(C), pages 1-30.
    5. Akihiko Ikeda & Hiroshi Osano, 2020. "Information Investment Regulation and Portfolio Delegation," KIER Working Papers 1032, Kyoto University, Institute of Economic Research.
    6. Samuel Antill & Darrell Duffie, 2017. "Augmenting Markets with Mechanisms," NBER Working Papers 24146, National Bureau of Economic Research, Inc.
    7. William Fuchs & Andrzej Skrzypacz, 2019. "Costs and benefits of dynamic trading in a lemons market," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 33, pages 105-127, July.
    8. Markus Baldauf & Joshua Mollner, 2020. "High‐Frequency Trading and Market Performance," Journal of Finance, American Finance Association, vol. 75(3), pages 1495-1526, June.
    9. Riggs, Lynn & Onur, Esen & Reiffen, David & Zhu, Haoxiang, 2020. "Swap trading after Dodd-Frank: Evidence from index CDS," Journal of Financial Economics, Elsevier, vol. 137(3), pages 857-886.
    10. Jun Aoyagi, 2019. "Strategic Speed Choice by High-Frequency Traders under Speed Bumps," ISER Discussion Paper 1050, Institute of Social and Economic Research, Osaka University.
    11. Eric Budish & Robin S. Lee & John J. Shim, 2019. "A Theory of Stock Exchange Competition and Innovation: Will the Market Fix the Market?," NBER Working Papers 25855, National Bureau of Economic Research, Inc.
    12. Eric M. Aldrich & Kristian López Vargas, 2020. "Experiments in high-frequency trading: comparing two market institutions," Experimental Economics, Springer;Economic Science Association, vol. 23(2), pages 322-352, June.
    13. Daniel Chen & Darrell Duffie, 2020. "Market Fragmentation," NBER Working Papers 26828, National Bureau of Economic Research, Inc.
    14. Joffrey Derchu & Philippe Guillot & Thibaut Mastrolia & Mathieu Rosenbaum, 2020. "AHEAD : Ad-Hoc Electronic Auction Design," Papers 2010.02827, arXiv.org.
    15. Twu, Mia & Wang, Jianxin, 2018. "Call auction frequency and market quality: Evidence from the Taiwan Stock Exchange," Journal of Asian Economics, Elsevier, vol. 57(C), pages 53-62.

  3. Songzi Du & Haoxiang Zhu, 2017. "Are CDS Auctions Biased and Inefficient?," Journal of Finance, American Finance Association, vol. 72(6), pages 2589-2628, December.

    Cited by:

    1. Boyarchenko, Nina & Costello, Anna & Shachar, Or, 2019. "The Long and Short of It: The Post-Crisis Corporate CDS Market," CEPR Discussion Papers 13535, C.E.P.R. Discussion Papers.
    2. Augustin, Patrick & Saleh, Fahad & Xu, Haohua, 2020. "CDS Returns," Journal of Economic Dynamics and Control, Elsevier, vol. 118(C).

  4. Du, Songzi & Zhu, Haoxiang, 2017. "Bilateral trading in divisible double auctions," Journal of Economic Theory, Elsevier, vol. 167(C), pages 285-311.

    Cited by:

    1. Sangha, Kamaljit K. & Preece, Luke & Villarreal-Rosas, Jaramar & Kegamba, Juma J. & Paudyal, Kiran & Warmenhoven, Tui & RamaKrishnan, P.S., 2018. "An ecosystem services framework to evaluate indigenous and local peoples’ connections with nature," Ecosystem Services, Elsevier, vol. 31(PA), pages 111-125.

  5. Du, Songzi, 2012. "Correlated equilibrium and higher order beliefs about play," Games and Economic Behavior, Elsevier, vol. 76(1), pages 74-87.

    Cited by:

    1. Liu, Qingmin, 2015. "Correlation and common priors in games with incomplete information," Journal of Economic Theory, Elsevier, vol. 157(C), pages 49-75.

More information

Research fields, statistics, top rankings, if available.

Statistics

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NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 1 paper 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-CTA: Contract Theory & Applications (1) 2014-11-28. Author is listed
  2. NEP-MIC: Microeconomics (1) 2014-11-28. Author is listed
  3. NEP-MST: Market Microstructure (1) 2014-11-28. Author is listed

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