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Zhaogang Song

Citations

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Working papers

  1. Haoyang Liu & Zhaogang Song & James Vickery, 2021. "Defragmenting Markets: Evidence from Agency MBS," Staff Reports 965, Federal Reserve Bank of New York.

    Cited by:

    1. Huh, Yesol & Kim, You Suk, 2023. "Cheapest-to-deliver pricing, optimal MBS securitization, and welfare implications," Journal of Financial Economics, Elsevier, vol. 150(1), pages 68-93.
    2. Michael J. Fleming & Haoyang Liu & Rich Podjasek & Jake Schurmeier, 2021. "The Federal Reserve’s Market Functioning Purchases," Staff Reports 998, Federal Reserve Bank of New York.
    3. Haoyang Liu & Zhaogang Song & James Vickery, 2021. "Defragmenting Markets: Evidence from Agency MBS," Working Papers 21-25, Federal Reserve Bank of Philadelphia.
    4. Andreas Fuster & David O. Lucca & James Vickery, 2022. "Mortgage-Backed Securities," Staff Reports 1001, Federal Reserve Bank of New York.

  2. Jiakai Chen & Haoyang Liu & David Rubio & Asani Sarkar & Zhaogang Song, 2020. "MBS Market Dysfunctions in the Time of COVID-19," Liberty Street Economics 20200717, Federal Reserve Bank of New York.

    Cited by:

    1. Michael J. Fleming & Haoyang Liu & Rich Podjasek & Jake Schurmeier, 2021. "The Federal Reserve’s Market Functioning Purchases," Staff Reports 998, Federal Reserve Bank of New York.
    2. Willem THORBECKE, 2020. "The Impact of the COVID-19 Pandemic on the U.S. Economy: Evidence from the Stock Market," Discussion papers 20068, Research Institute of Economy, Trade and Industry (RIETI).

  3. Nicola Fusari & Wei Li & Haoyang Liu & Zhaogang Song, 2020. "Asset Pricing with Cohort-Based Trading in MBS Markets," Staff Reports 931, Federal Reserve Bank of New York.

    Cited by:

    1. Huh, Yesol & Kim, You Suk, 2023. "Cheapest-to-deliver pricing, optimal MBS securitization, and welfare implications," Journal of Financial Economics, Elsevier, vol. 150(1), pages 68-93.
    2. Garcia-Villegas, Salomon, 2023. "The amplification effects of adverse selection in mortgage credit supply," Journal of Housing Economics, Elsevier, vol. 62(C).
    3. Jiakai Chen & Haoyang Liu & Asani Sarkar & Zhaogang Song, 2020. "Dealers and the Dealer of Last Resort: Evidence from the Agency MBS Markets in the COVID-19 Crisis," Staff Reports 933, Federal Reserve Bank of New York.

  4. Marco Di Maggio & Amir Kermani & Zhaogang Song, 2016. "The Value of Trading Relationships in Turbulent Times," NBER Working Papers 22332, National Bureau of Economic Research, Inc.

    Cited by:

    1. Gündüz, Yalin & Ottonello, Giorgio & Pelizzon, Loriana & Schneider, Michael & Subrahmanyam, Marti G., 2018. "Lighting up the dark: Liquidity in the German corporate bond market," SAFE Working Paper Series 230, Leibniz Institute for Financial Research SAFE.
    2. Biais, Bruno & Green, Richard, 2018. "The Microstructure of the Bond Market in the 20th Century," TSE Working Papers 18-960, Toulouse School of Economics (TSE).
    3. Levent Altinoglu & Joseph E. Stiglitz, 2020. "Collective Moral Hazard and the Interbank Market," Finance and Economics Discussion Series 2020-098, Board of Governors of the Federal Reserve System (U.S.).
    4. Adrian, Tobias & Fleming, Michael J. & Shachar, Or & Vogt, Erik, 2017. "Market Liquidity after the Financial Crisis," CEPR Discussion Papers 12248, C.E.P.R. Discussion Papers.
    5. Michael A. Goldstein & Edith S. Hotchkiss & David J. Pedersen, 2019. "Secondary Market Liquidity and Primary Market Pricing of Corporate Bonds," JRFM, MDPI, vol. 12(2), pages 1-17, May.
    6. Hau, Harald & Hoffmann, Peter & Langfield, Sam & Timmer, Yannick, 2017. "Discriminatory pricing of over-the-counter derivatives," ESRB Working Paper Series 61, European Systemic Risk Board.
    7. Vincent Glode & Christian Opp, 2016. "Asymmetric Information and Intermediation Chains," American Economic Review, American Economic Association, vol. 106(9), pages 2699-2721, September.
    8. Pierre-Olivier Weill & Benjamin Lester & Julien Hugonnier, 2016. "Heterogeneity in decentralized asset markets," 2016 Meeting Papers 1014, Society for Economic Dynamics.
    9. Keiko ITO & Kenta IKEUCHI & Chiara CRISCUOLO & Jonathan TIMMIS & Antonin BERGEAUD, 2019. "Global Value Chains and Domestic Innovation," Discussion papers 19028, Research Institute of Economy, Trade and Industry (RIETI).
    10. Adrian, Tobias & Boyarchenko, Nina & Shachar, Or, 2017. "Dealer Balance Sheets and Bond Liquidity Provision," CEPR Discussion Papers 12246, C.E.P.R. Discussion Papers.
    11. Schrimpf, Paul & Malamud, Semyon, 2018. "Intermediation markups and monetary policy pass-through," CEPR Discussion Papers 12623, C.E.P.R. Discussion Papers.
    12. Zhang, Shengxing, 2018. "Liquidity misallocation in an over-the-counter market," Journal of Economic Theory, Elsevier, vol. 174(C), pages 16-56.
    13. Shen, Ji & Wei, Bin & Yan, Hongjun, 2016. "Financial Intermediation Chains in an OTC Market," MPRA Paper 74925, University Library of Munich, Germany.
    14. van der Leij, M. & in 't Veld, D. & Hommes, C.H., 2016. "The formation of a core periphery structure in heterogeneous financial networks," CeNDEF Working Papers 16-07, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    15. Zachary Bethune & Bruno Sultanum & Nicholas Trachter, 2019. "An Information-Based Theory of Financial Intermediation," Working Paper 19-12, Federal Reserve Bank of Richmond.
    16. Christoph Aymanns & Co-Pierre Georg & Benjamin Golub, 2017. "Illiquidity spirals in Coupled Over-The-Counter Markets," Working Papers on Finance 1810, University of St. Gallen, School of Finance.
    17. Friewald, Nils & Nagler, Florian, 2018. "Over-the-Counter Market Frictions and Yield Spread Changes," CEPR Discussion Papers 13345, C.E.P.R. Discussion Papers.
    18. Andrea L. Eisfeldt & Bernard Herskovic & Sriram Rajan & Emil Siriwardane, 2018. "OTC Intermediaries," Working Papers 18-05, Office of Financial Research, US Department of the Treasury, revised 24 May 2021.
    19. Uslu, Semih, 2015. "Pricing and Liquidity in Decentralized Asset Markets," MPRA Paper 73901, University Library of Munich, Germany, revised 21 Sep 2016.
    20. Andrea Barbon & Marco Di Maggio & Francesco Franzoni & Augustin Landier, 2017. "Brokers and Order Flow Leakage: Evidence from Fire Sales," NBER Working Papers 24089, National Bureau of Economic Research, Inc.
    21. Maryam Farboodi & Gregor Jarosch & Robert Shimer, 2017. "The Emergence of Market Structure," NBER Working Papers 23234, National Bureau of Economic Research, Inc.
    22. Tut, Daniel, 2024. "External financing, corporate governance and the value of cash holdings," International Review of Economics & Finance, Elsevier, vol. 91(C), pages 156-179.
    23. Gino Cenedese & Angelo Ranaldo & Michalis Vasios, 2018. "OTC premia," Bank of England working papers 751, Bank of England.
    24. Schürhoff, Norman & Hendershott, Terrence & Livdan, Dmitry & Li, Dan, 2017. "Relationship Trading in OTC Markets," CEPR Discussion Papers 12472, C.E.P.R. Discussion Papers.
    25. Schürhoff, Norman & Li, Dan & Cestau, Dario & Hollifield, Burton, 2018. "Municipal Bond Markets," CEPR Discussion Papers 13301, C.E.P.R. Discussion Papers.
    26. Song Han & Kleopatra Nikolaou, 2016. "Trading Relationships in the OTC Market for Secured Claims : Evidence from Triparty Repos," Finance and Economics Discussion Series 2016-064, Board of Governors of the Federal Reserve System (U.S.).
    27. Babus, Ana & Kondor, Peter, 2018. "Trading and information diffusion in OTC markets," LSE Research Online Documents on Economics 88050, London School of Economics and Political Science, LSE Library.
    28. Di Maggio, Marco, 2017. "Comment on: “Dealer balance sheets and bond liquidity provision” by Adrian, Boyarchenko and Shachar," Journal of Monetary Economics, Elsevier, vol. 89(C), pages 110-112.
    29. Hugonnier, Julien & Weill, Pierre-Olivier & Lester, Benjamin, 2018. "Frictional intermediation in over-the-counter markets," CEPR Discussion Papers 13126, C.E.P.R. Discussion Papers.

  5. Olesya V. Grishchenko & Zhaogang Song & Hao Zhou, 2015. "Term Structure of Interest Rates with Short-run and Long-run Risks," Finance and Economics Discussion Series 2015-95, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. John H. Cochrane, 2016. "The Habit Habit," Economics Working Papers 16105, Hoover Institution, Stanford University.
    2. John H. Cochrane, 2016. "Macro-Finance," NBER Working Papers 22485, National Bureau of Economic Research, Inc.

  6. Pietro Bonaldi & Ali Hortacsu & Zhaogang Song, 2015. "An Empirical Test of Auction Efficiency: Evidence from MBS Auctions of the Federal Reserve," Finance and Economics Discussion Series 2015-82, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Klenio Barbosa & Dakshina De Silva & Liyu Yang & Hisayuki Yoshimoto, 2019. "Auction Mechanisms and Treasury Revenue," Working Papers 267027285, Lancaster University Management School, Economics Department.
    2. Boneva, Lena & Kastl, Jakub & Zikes, Filip, 2025. "Dealer balance sheets and bidding behavior in the Bank of England’s QE reverse auctions," Journal of Financial Economics, Elsevier, vol. 174(C).
    3. Jiakai Chen & Haoyang Liu & Asani Sarkar & Zhaogang Song, 2020. "Dealers and the Dealer of Last Resort: Evidence from the Agency MBS Markets in the COVID-19 Crisis," Staff Reports 933, Federal Reserve Bank of New York.

  7. Zhaogang Song & Dacheng Xiu, 2014. "A Tale of Two Option Markets: Pricing Kernels and Volatility Risk," Finance and Economics Discussion Series 2014-58, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Barletta, Andrea & Santucci de Magistris, Paolo & Violante, Francesco, 2019. "A non-structural investigation of VIX risk neutral density," Journal of Banking & Finance, Elsevier, vol. 99(C), pages 1-20.
    2. Shvimer, Yossi & Herbon, Avi, 2020. "Comparative empirical study of binomial call-option pricing methods using S&P 500 index data," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    3. Augustyniak, Maciej & Badescu, Alexandru & Bégin, Jean-François & Jayaraman, Sarath Kumar, 2025. "A general option pricing framework for affine fractionally integrated models," Journal of Banking & Finance, Elsevier, vol. 171(C).
    4. Hasibul Chowdhury & Robert Faff & Khoa Hoang, 2021. "Using abnormal analyst coverage to unlock new evidence on stock price crash risk," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(S1), pages 1557-1588, April.
    5. Yabei Zhu & Xingguo Luo & Qi Xu, 2023. "Industry variance risk premium, cross‐industry correlation, and expected returns," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(1), pages 3-32, January.
    6. Li, Yifan & Nolte, Ingmar & Pham, Manh Cuong, 2024. "Parametric risk-neutral density estimation via finite lognormal-Weibull mixtures," Journal of Econometrics, Elsevier, vol. 241(2).
    7. Lu, Junwen & Qu, Zhongjun, 2021. "Sieve estimation of option-implied state price density," Journal of Econometrics, Elsevier, vol. 224(1), pages 88-112.
    8. Jarno Talponen, 2018. "Matching distributions: Recovery of implied physical densities from option prices," Papers 1803.03996, arXiv.org.
    9. Zhonghao Xian & Xing Yan & Cheuk Hang Leung & Qi Wu, 2024. "Risk-Neutral Generative Networks," Papers 2405.17770, arXiv.org.
    10. Andrew Papanicolaou, 2021. "Extreme-Strike Comparisons and Structural Bounds for SPX and VIX Options," Papers 2101.00299, arXiv.org, revised Mar 2021.
    11. KALNINA, Ilze & XIU, Dacheng, 2015. "Nonparametric estimation of the leverage effect: a trade-off between robustness and efficiency," Cahiers de recherche 2015-05, Universite de Montreal, Departement de sciences economiques.
    12. Dalderop, Jeroen, 2023. "Semiparametric estimation of latent variable asset pricing models," Journal of Econometrics, Elsevier, vol. 236(1).
    13. Gloria Gonzalez-Rivera & Joao Henrique Mazzeu & Esther Ruiz & Helena Veiga, 2017. "A Bootstrap Approach for Generalized Autocontour Testing. Implications for VIX Forecast Densities," Working Papers 201709, University of California at Riverside, Department of Economics.
    14. Ruijun Bu & Fredj Jawadi & Yuyi Li, 2018. "A Multi-Factor Transformed Diffusion Model with Applications to VIX and VIX Futures," Working Papers 20183, University of Liverpool, Department of Economics.
    15. Manuel Ammann & Alexander Feser, 2019. "Robust estimation of risk‐neutral moments," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(9), pages 1137-1166, September.
    16. Zu, Yang & Boswijk, H. Peter, 2017. "Consistent nonparametric specification tests for stochastic volatility models based on the return distribution," Journal of Empirical Finance, Elsevier, vol. 41(C), pages 53-75.
    17. Steven Heston & Kris Jacobs & Hyung Joo Kim, 2023. "The Pricing Kernel in Options," Finance and Economics Discussion Series 2023-053, Board of Governors of the Federal Reserve System (U.S.).
    18. Bardgett, Chris & Gourier, Elise & Leippold, Markus, 2019. "Inferring volatility dynamics and risk premia from the S&P 500 and VIX markets," Journal of Financial Economics, Elsevier, vol. 131(3), pages 593-618.
    19. Gonçalves Mazzeu, Joao Henrique & González-Rivera, Gloria & Ruiz Ortega, Esther & Veiga, Helena, 2016. "A Bootstrap Approach for Generalized Autocontour Testing," DES - Working Papers. Statistics and Econometrics. WS 23457, Universidad Carlos III de Madrid. Departamento de Estadística.
    20. Dalderop, Jeroen, 2020. "Nonparametric filtering of conditional state-price densities," Journal of Econometrics, Elsevier, vol. 214(2), pages 295-325.
    21. Cao, Yi & Liu, Xiaoquan & Zhai, Jia, 2021. "Option valuation under no-arbitrage constraints with neural networks," European Journal of Operational Research, Elsevier, vol. 293(1), pages 361-374.
    22. Denis Belomestny & Wolfgang Karl Härdle & Ekaterina Krymova, 2017. "Sieve Estimation Of The Minimal Entropy Martingale Marginal Density With Application To Pricing Kernel Estimation," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 20(06), pages 1-21, September.
    23. Andrea Barletta & Paolo Santucci de Magistris & Francesco Violante, 2016. "Retrieving Risk-Neutral Densities Embedded in VIX Options: a Non-Structural Approach," CREATES Research Papers 2016-20, Department of Economics and Business Economics, Aarhus University.
    24. Cui, Zhenyu & Kirkby, J. Lars & Nguyen, Duy, 2021. "A data-driven framework for consistent financial valuation and risk measurement," European Journal of Operational Research, Elsevier, vol. 289(1), pages 381-398.
    25. Algieri, Bernardina & Leccadito, Arturo & Tunaru, Diana, 2021. "Risk premia in electricity derivatives markets," Energy Economics, Elsevier, vol. 100(C).
    26. Peter Reinhard Hansen & Chen Tong, 2022. "Option Pricing with Time-Varying Volatility Risk Aversion," Papers 2204.06943, arXiv.org, revised Mar 2025.
    27. Jiao, Yuhan & Liu, Qiang & Guo, Shuxin, 2021. "Pricing kernel monotonicity and term structure: Evidence from China," Journal of Banking & Finance, Elsevier, vol. 123(C).
    28. Li, Chen Xu & Li, Chenxu & Li, Chun, 2025. "Implied local volatility models," Journal of Empirical Finance, Elsevier, vol. 80(C).
    29. Yaw‐Huei Wang & Kuang‐Chieh Yen, 2019. "The information content of the implied volatility term structure on future returns," European Financial Management, European Financial Management Association, vol. 25(2), pages 380-406, March.
    30. Bu Ruijun & Cheng Jie & Hadri Kaddour, 2017. "Specification analysis in regime-switching continuous-time diffusion models for market volatility," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 21(1), pages 65-80, February.
    31. Schneider, Paul, 2019. "An anatomy of the market return," Journal of Financial Economics, Elsevier, vol. 132(2), pages 325-350.
    32. Liao, Wen Ju & Sung, Hao-Chang, 2020. "Implied risk aversion and pricing kernel in the FTSE 100 index," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    33. Koëter, Joren, 2021. "Essays on asset pricing, investor preferences, and derivative markets," Other publications TiSEM 9e88a66e-b972-4af3-91d6-0, Tilburg University, School of Economics and Management.
    34. Horatio Cuesdeanu & Jens Carsten Jackwerth, 2018. "The pricing kernel puzzle: survey and outlook," Annals of Finance, Springer, vol. 14(3), pages 289-329, August.
    35. H. Peter Boswijk & Jeroen Dalderop & Roger J. A. Laeven & Niels Marijnen, 2025. "Semiparametric Estimation of Probability Weighting Functions Implicit in Option Prices," Tinbergen Institute Discussion Papers 25-022/III, Tinbergen Institute.
    36. Ana M. Monteiro & António A. F. Santos, 2022. "Option prices for risk‐neutral density estimation using nonparametric methods through big data and large‐scale problems," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(1), pages 152-171, January.
    37. Peter Reinhard Hansen & Zhuo Huang & Chen Tong & Tianyi Wang, 2021. "Realized GARCH, CBOE VIX, and the Volatility Risk Premium," Papers 2112.05302, arXiv.org.
    38. Driessen, Joost & Koëter, Joren & Wilms, Ole, 2025. "Horizon effects in the pricing kernel: How investors price short-term versus long-term risks," Other publications TiSEM 18d19e20-6d30-4828-9a8e-9, Tilburg University, School of Economics and Management.
    39. Ana M. Monteiro & Antonio A. F. Santos, 2020. "Conditional risk-neutral density from option prices by local polynomial kernel smoothing with no-arbitrage constraints," Review of Derivatives Research, Springer, vol. 23(1), pages 41-61, April.
    40. Augustyniak, Maciej & Badescu, Alexandru & Bégin, Jean-François, 2023. "A discrete-time hedging framework with multiple factors and fat tails: On what matters," Journal of Econometrics, Elsevier, vol. 232(2), pages 416-444.
    41. Robert A. Jarrow & Simon S. Kwok, 2021. "Inferring financial bubbles from option data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(7), pages 1013-1046, November.
    42. Arjun Chatrath & Rohan A. Christie‐David & Hong Miao & Sanjay Ramchander, 2019. "Losers and prospectors in the short‐term options market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(6), pages 721-743, June.
    43. Barone-Adesi, Giovanni & Fusari, Nicola & Mira, Antonietta & Sala, Carlo, 2020. "Option market trading activity and the estimation of the pricing kernel: A Bayesian approach," Journal of Econometrics, Elsevier, vol. 216(2), pages 430-449.
    44. Brendan K. Beare & Juwon Seo & Zhongxi Zheng, 2022. "Stochastic arbitrage with market index options," Papers 2207.00949, arXiv.org, revised Jan 2025.
    45. Maik Dierkes & Jan Krupski & Sebastian Schroen & Philipp Sibbertsen, 2024. "Volatility-dependent probability weighting and the dynamics of the pricing kernel puzzle," Review of Derivatives Research, Springer, vol. 27(1), pages 1-35, April.
    46. Alexandru Badescu & Zhenyu Cui & Juan-Pablo Ortega, 2019. "Closed-form variance swap prices under general affine GARCH models and their continuous-time limits," Annals of Operations Research, Springer, vol. 282(1), pages 27-57, November.
    47. Chen Tong & Zhuo Huang, 2021. "Pricing VIX options with realized volatility," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(8), pages 1180-1200, August.
    48. Bing Dong & Wei Xu & Zhenyu Cui, 2025. "Joint Implied Willow Tree: An Approach for Joint S&P 500/VIX Calibration," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 45(6), pages 547-568, June.
    49. Manuel Ammann & Alexander Feser, 2019. "Robust Estimation of Risk-Neutral Moments," Working Papers on Finance 1902, University of St. Gallen, School of Finance.
    50. Bollerslev, Tim & Todorov, Viktor, 2014. "Time-varying jump tails," Journal of Econometrics, Elsevier, vol. 183(2), pages 168-180.
    51. Chen Tong & Zhuo Huang & Tianyi Wang, 2022. "Do VIX futures contribute to the valuation of VIX options?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(9), pages 1644-1664, September.
    52. Huang, Darien & Schlag, Christian & Shaliastovich, Ivan & Thimme, Julian, 2018. "Volatility-of-volatility risk," SAFE Working Paper Series 210, Leibniz Institute for Financial Research SAFE.
    53. Xinyu WU & Senchun REN & Hailin ZHOU, 2017. "Empirical Pricing Kernels: Evidence from the Hong Kong Stock Market," ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, Faculty of Economic Cybernetics, Statistics and Informatics, vol. 51(4), pages 263-278.
    54. Xingguo Luo & Jin E. Zhang & Wenjun Zhang, 2019. "Instantaneous squared VIX and VIX derivatives," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(10), pages 1193-1213, October.

  8. Zhaogang Song & Haoxiang Zhu, 2014. "QE Auctions of Treasury Bonds," Finance and Economics Discussion Series 2014-48, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Todorov, Karamfil, 2020. "Quantify the quantitative easing: impact on bonds and corporate debt issuance," LSE Research Online Documents on Economics 101665, London School of Economics and Political Science, LSE Library.
    2. Cafiso, Gianluca, 2019. "Sovereign bond markets when auctions take place: Evidence from Italy," The North American Journal of Economics and Finance, Elsevier, vol. 47(C), pages 406-430.
    3. Francis Breedon, 2018. "On the Transactions Costs of UK Quantitative Easing," Working Papers 848, Queen Mary University of London, School of Economics and Finance.
    4. Zhiguo He & Paymon Khorrami & Zhaogang Song, 2019. "Commonality in Credit Spread Changes: Dealer Inventory and Intermediary Distress," NBER Working Papers 26494, National Bureau of Economic Research, Inc.
    5. Veldkamp, Laura & Boyarchenko, Nina & Lucca, David, 2016. "Taking Orders and Taking Notes: Dealer Information Sharing in Treasury Markets," CEPR Discussion Papers 11518, C.E.P.R. Discussion Papers.
    6. Boneva, L. & Elliott, D. & Kaminska, I. & Linton, O. & McLaren, N. & Morley, B., 2019. "The Impact of Corporate QE on Liquidity: Evidence from the UK," Cambridge Working Papers in Economics 1937, Faculty of Economics, University of Cambridge.
    7. Kastl, Jakub, 2020. "Auctions in financial markets," International Journal of Industrial Organization, Elsevier, vol. 70(C).
    8. Nina Boyarchenko & David O. Lucca & Laura Veldkamp, 2018. "Taking Orders and Taking Notes: Dealer Information Sharing in Financial Markets," Working Papers 18-07, New York University, Leonard N. Stern School of Business, Department of Economics.
    9. Pelizzon, Loriana & Subrahmanyam, Marti G. & Tomio, Davide & Uno, Jun, 2018. "Central bank-driven mispricing," SAFE Working Paper Series 226, Leibniz Institute for Financial Research SAFE, revised 2018.
    10. Esteban Ramon Perez Caldentey, 2017. "Quantitative easing, changes in global liquidity and financial instability," Working Papers PKWP1701, Post Keynesian Economics Society (PKES).
    11. Giambona, Erasmo & Matta, Rafael & Peydró, José-Luis & Wang, Ye, 2020. "Quantitative Easing, Investment, and Safe Assets: The Corporate-Bond Lending Channel," EconStor Preprints 217049, ZBW - Leibniz Information Centre for Economics, revised 2020.
    12. Saki Bigio & Galo Nuño & Juan Passadore, 2019. "A framework for debt-maturity management," Working Papers 1919, Banco de España.
    13. Inaba, Kei-Ichiro, 2019. "The behaviour of bidders in quantitative-easing auctions of sovereign bonds in Japan: Determinants of the popularity of the 9 to 10-year maturity segment," The Quarterly Review of Economics and Finance, Elsevier, vol. 72(C), pages 206-214.
    14. Schlepper, Kathi & Riordan, Ryan & Hofer, Heiko & Schrimpf, Andreas, 2017. "Scarcity effects of QE: A transaction-level analysis in the Bund market," Discussion Papers 06/2017, Deutsche Bundesbank.
    15. Saki Bigio & Galo Nuño & Juan Passadore, 2019. "Debt-Maturity Management with Liquidity Costs," NBER Working Papers 25808, National Bureau of Economic Research, Inc.

  9. Chabi-Yo, Fousseni & Song, Zhaogang, 2012. "Probability Weighting of Rare Events and Currency Returns," Working Paper Series 2012-24, Ohio State University, Charles A. Dice Center for Research in Financial Economics.

    Cited by:

    1. Taylor, Mark & Xu, Qi & Kozhan, Roman, 2020. "Prospect Theory and Currency Returns: Empirical Evidence," CEPR Discussion Papers 15306, C.E.P.R. Discussion Papers.

Articles

  1. Di Maggio, Marco & Kermani, Amir & Song, Zhaogang, 2017. "The value of trading relations in turbulent times," Journal of Financial Economics, Elsevier, vol. 124(2), pages 266-284.

    Cited by:

    1. Gündüz, Yalin & Ottonello, Giorgio & Pelizzon, Loriana & Schneider, Michael & Subrahmanyam, Marti G., 2018. "Lighting up the dark: Liquidity in the German corporate bond market," SAFE Working Paper Series 230, Leibniz Institute for Financial Research SAFE.
    2. Babus, Ana & Kondor, Peter, 2018. "Trading and information diffusion in over-the-counter markets," LSE Research Online Documents on Economics 118939, London School of Economics and Political Science, LSE Library.
    3. Domenico Di Gangi & Vladimir Lazarov & Aakash Mankodi & Laura Silvestri, 2022. "Links between government bond and futures markets: dealer-client relationships and price discovery in the UK," Bank of England working papers 991, Bank of England.
    4. Pierre Collin‐Dufresne & Benjamin Junge & Anders B. Trolle, 2020. "Market Structure and Transaction Costs of Index CDSs," Journal of Finance, American Finance Association, vol. 75(5), pages 2719-2763, October.
    5. Jean‐Edouard Colliard & Thierry Foucault & Peter Hoffmann, 2021. "Inventory Management, Dealers' Connections, and Prices in Over‐the‐Counter Markets," Journal of Finance, American Finance Association, vol. 76(5), pages 2199-2247, October.
    6. Zhiguo He & Paymon Khorrami & Zhaogang Song, 2019. "Commonality in Credit Spread Changes: Dealer Inventory and Intermediary Distress," NBER Working Papers 26494, National Bureau of Economic Research, Inc.
    7. O'Hara, Maureen & Alex Zhou, Xing, 2021. "The electronic evolution of corporate bond dealers," Journal of Financial Economics, Elsevier, vol. 140(2), pages 368-390.
    8. Bilan, Andrada & Gündüz, Yalın, 2022. "CDS market structure and bond spreads," Discussion Papers 24/2022, Deutsche Bundesbank.
    9. Nobuyuki Hanaki & Giulia Iori & Pietro Vassallo, 2025. "Learning and information diffusion in OTC markets: experiments and a computational model," Working Papers 2025: 12, Department of Economics, University of Venice "Ca' Foscari".
    10. Pierre Collin-Dufresne & Benjamin Junge & Anders B. Trolle, 2018. "Market Structure and Transaction Costs of Index CDSs," Swiss Finance Institute Research Paper Series 18-40, Swiss Finance Institute.
    11. Benos, Evangelos & Žikeš, Filip, 2018. "Funding constraints and liquidity in two-tiered OTC markets," Journal of Financial Markets, Elsevier, vol. 39(C), pages 24-43.
    12. Zhang, Xiaoyuan & Zhang, Tianqi, 2022. "Dynamic credit contagion and aggregate loss in networks," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
    13. Carole Comerton-Forde & Billy Ford & Thierry Foucault & Simon Jurkatis, 2025. "Investors as a liquidity backstop in corporate bond markets," Bank of England working papers 1126, Bank of England.
    14. Foucault, Thierry & Colliard, Jean-Edouard & Hoffmann, Peter, 2018. "Inventory Management, Dealers' Connections, and Prices in OTC Markets," CEPR Discussion Papers 13093, C.E.P.R. Discussion Papers.
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  2. Song, Zhaogang & Xiu, Dacheng, 2016. "A tale of two option markets: Pricing kernels and volatility risk," Journal of Econometrics, Elsevier, vol. 190(1), pages 176-196.
    See citations under working paper version above.
  3. Chen, Bin & Song, Zhaogang, 2013. "Testing whether the underlying continuous-time process follows a diffusion: An infinitesimal operator-based approach," Journal of Econometrics, Elsevier, vol. 173(1), pages 83-107.

    Cited by:

    1. Jabłońska-Sabuka, Matylda & Teuerle, Marek & Wyłomańska, Agnieszka, 2017. "Bivariate sub-Gaussian model for stock index returns," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 486(C), pages 628-637.
    2. Aswani Kumar Mallick & Alok Kumar Mishra, 2019. "Interest rates forecasting and stress testing in India: a PCA-ARIMA approach," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 5(1), pages 1-17, December.

  4. Song, Zhaogang, 2011. "A martingale approach for testing diffusion models based on infinitesimal operator," Journal of Econometrics, Elsevier, vol. 162(2), pages 189-212, June.

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    1. Álvarez-Liébana, J. & López-Pérez, A. & González-Manteiga, W. & Febrero-Bande, M., 2025. "A goodness-of-fit test for functional time series with applications to Ornstein-Uhlenbeck processes," Computational Statistics & Data Analysis, Elsevier, vol. 203(C).
    2. Péter Farkas, 2013. "Counting Process Generated by Boundary-crossing Events. Theory and Statistical Applications," CEU Working Papers 2013_4, Department of Economics, Central European University.
    3. Wenceslao González-Manteiga & Rosa Crujeiras, 2013. "An updated review of Goodness-of-Fit tests for regression models," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 22(3), pages 361-411, September.
    4. Chen, Qiang & Zheng, Xu & Pan, Zhiyuan, 2015. "Asymptotically distribution-free tests for the volatility function of a diffusion," Journal of Econometrics, Elsevier, vol. 184(1), pages 124-144.
    5. Chen, Bin & Song, Zhaogang, 2013. "Testing whether the underlying continuous-time process follows a diffusion: An infinitesimal operator-based approach," Journal of Econometrics, Elsevier, vol. 173(1), pages 83-107.
    6. Li, Yingying & Liu, Guangying & Zhang, Zhiyuan, 2022. "Volatility of volatility: Estimation and tests based on noisy high frequency data with jumps," Journal of Econometrics, Elsevier, vol. 229(2), pages 422-451.

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