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Bruce Mizrach

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. Jason Barr & Bruce Mizrach & Kusum Mundra, 2015. "Skyscraper height and the business cycle: separating myth from reality," Applied Economics, Taylor & Francis Journals, vol. 47(2), pages 148-160, January.

    Mentioned in:

    1. Broken Clockism: The “Skyscraper Curse” is Bogus
      by Jason Barr in Skynomics Blog on 2017-11-05 23:53:12
    2. Boon or Boondoggle? The Long Run Economics of the Empire State Building
      by Jason Barr in Skynomics Blog on 2020-08-17 12:28:49

Working papers

  1. Bruce Mizrach, 2022. "Stablecoins: Survivorship, Transactions Costs and Exchange Microstructure," Papers 2201.01392, arXiv.org, revised Feb 2023.

    Cited by:

    1. Elie Kapengut & Bruce Mizrach, 2023. "An Event Study of the Ethereum Transition to Proof-of-Stake," Commodities, MDPI, vol. 2(2), pages 1-15, March.
    2. Daniela Balutel & Walter Engert & Christopher Henry & Kim Huynh & Marcel Voia, 2022. "Private Digital Cryptoassets as Investment? Bitcoin Ownership and Use in Canada, 2016-2021," Staff Working Papers 22-44, Bank of Canada.

  2. Elie Kapengut & Bruce Mizrach, 2022. "An Event Study of the Ethereum Transition to Proof-of-Stake," Papers 2210.13655, arXiv.org, revised Feb 2023.

    Cited by:

    1. Alexander Karaivanov and Shayan Zarifian, 2024. "Economic Determinants of Ethereum Transaction Fees in the Priority Fee and Proof of Stake Periods," Discussion Papers dp24-02, Department of Economics, Simon Fraser University.
    2. Huang, Chung-Ting & Scott, Ian J., 2024. "Peer-to-peer multi-period energy market with flexible scheduling on a scalable and cost-effective blockchain," Applied Energy, Elsevier, vol. 367(C).
    3. Valerio Mandarino & Giuseppe Pappalardo & Emiliano Tramontana, 2023. "Proof of Flow: A Design Pattern for the Green Energy Market," Future Internet, MDPI, vol. 15(9), pages 1-23, September.
    4. Junnan Cui & Li Gao & Yufei Wang, 2024. "The Impact of Cryptocurrency Exposure on Corporate Tax Avoidance Among US Listed Companies," JRFM, MDPI, vol. 17(11), pages 1-18, October.
    5. Naifar, Nader, 2025. "Redefining market interdependencies: The ethereum merge's effect on 4IR assets, renewable energy, and tokens," Finance Research Letters, Elsevier, vol. 73(C).
    6. Bruce Mizrach & Nathaniel Yoshida, 2025. "The Marginal Effects of Ethereum Network MEV Transaction Re-Ordering," Papers 2508.04003, arXiv.org, revised May 2026.
    7. Tao Yan & Shengnan Li & Benjamin Kraner & Luyao Zhang & Claudio J. Tessone, 2024. "Analyzing Reward Dynamics and Decentralization in Ethereum 2.0: An Advanced Data Engineering Workflow and Comprehensive Datasets for Proof-of-Stake Incentives," Papers 2402.11170, arXiv.org.
    8. Alan Chernoff & Julapa Jagtiani, 2024. "Beneath the Crypto Currents: The Hidden Effect of Crypto “Whales”," Working Papers 24-14, Federal Reserve Bank of Philadelphia.
    9. Jain, Archana & Jain, Chinmay & Krystyniak, Karolina, 2023. "Blockchain transaction fee and Ethereum Merge," Finance Research Letters, Elsevier, vol. 58(PC).
    10. Sid-Ali Amamra, 2025. "A Hybrid Blockchain Solution for Electric Vehicle Energy Trading: Balancing Proof of Work and Proof of Stake," Energies, MDPI, vol. 18(7), pages 1-26, April.
    11. Ioannis Nikolaou & Leonidas Anthopoulos, 2024. "Towards an ITU Standard for DLT Energy Consumption," Energies, MDPI, vol. 17(9), pages 1-14, May.
    12. Casey Watters, 2023. "Digital Gold or Digital Security? Unravelling the Legal Fabric of Decentralised Digital Assets," Commodities, MDPI, vol. 2(4), pages 1-12, October.
    13. Alam, Khandoker Shahjahan & Kaif, A.M.A. Daiyan & Das, Sajal K., 2024. "A blockchain-based optimal peer-to-peer energy trading framework for decentralized energy management with in a virtual power plant: Lab scale studies and large scale proposal," Applied Energy, Elsevier, vol. 365(C).
    14. Alshammari, Saad & Abid, Ilyes & Ayadi, Rim & Bouazizi, Tarek & Soliman, Alain, 2025. "Exploring the impact of climate change on traditional and energy cryptocurrencies: A cross-sectional approach," International Review of Financial Analysis, Elsevier, vol. 108(PB).
    15. Choi, Hyung-Eun, 2025. "Transition to proof-of-stake and informed trading," Finance Research Letters, Elsevier, vol. 72(C).
    16. Tom Celig & Tim Alvaro Ockenga & Detlef Schoder, 2025. "Distributional equality in Ethereum? On-chain analysis of Ether supply distribution and supply dynamics," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-15, December.
    17. Ullah, Alishba Rahman & Khurshid, Shahzeb & Ullah, Asma Rehman & Wojewodzki, Michal & Yoon, Seong-Min, 2025. "ReFi tokens as climate-finance assets: Connectedness with renewable energy token and fossil energy," Finance Research Letters, Elsevier, vol. 86(PF).
    18. Luyao Zhang & Fan Zhang, 2023. "Understand Waiting Time in Transaction Fee Mechanism: An Interdisciplinary Perspective," Papers 2305.02552, arXiv.org.
    19. Namryoung Lee, 2023. "The Relationship between a Company’s Cryptocurrency Holdings and Its Sustainable Performance—With a Focus on External and Internal Financial Issues and Cash," Sustainability, MDPI, vol. 15(23), pages 1-15, November.
    20. Konstantinos Pantelidis, 2025. "Active tokens and crypto-asset valuation," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 11(1), pages 1-37, December.
    21. Díaz, Antonio & Esparcia, Carlos & Huélamo, Diego, 2023. "Unveiling the diversification capabilities of carbon markets in NFT portfolios," Finance Research Letters, Elsevier, vol. 58(PD).
    22. Jimmy Risk & Shen-Ning Tung & Tai-Ho Wang, 2025. "Dynamics of Liquidity Surfaces in Uniswap v3," Papers 2509.05013, arXiv.org.
    23. Tanus Bikram Malla & Abhinav Bhattarai & Amrit Parajuli & Ashish Shrestha & Bhupendra Bimal Chhetri & Kamal Chapagain, 2022. "Status, Challenges and Future Directions of Blockchain Technology in Power System: A State of Art Review," Energies, MDPI, vol. 15(22), pages 1-26, November.
    24. Yan, Tao & Li, Shengnan & Kraner, Benjamin & Zhang, Luyao & Tessone, Claudio J., 2024. "Analyzing Reward Dynamics and Decentralization in Ethereum 2.0: An Advanced Data Engineering Workflow and Comprehensive Datasets for Proof-of-Stake Incentives," OSF Preprints 6ceuz, Center for Open Science.

  3. Cheng Gao & Bruce Mizrach, 2013. "High Frequency Trading in the Equity Markets During U.S. Treasury POMO," Departmental Working Papers 201320, Rutgers University, Department of Economics.

    Cited by:

    1. Fleming, Michael J. & Mizrach, Bruce & Nguyen, Giang, 2018. "The microstructure of a U.S. Treasury ECN: The BrokerTec platform," Journal of Financial Markets, Elsevier, vol. 40(C), pages 2-22.
    2. Кравчук, Ігор Святославович, 2018. "Сучасні тенденції електронної торгівлі обіговими фінансовими інструментами // Modern trends of electronic trading by negotiable financial instruments," Вісник Житомирського державного технологічного університету. Серія: Економічні науки // THE JOURNAL OF ZHYTOMYR STATE TECHNOLOGICAL UNIVERSITY. SERIES: ECONOMICS, Житомирський державний технологічний університет // ZHYTOMYR STATE TECHNOLOGICAL UNIVERSITY, vol. 83(1).
    3. Bank for International Settlements, 2016. "Electronic trading in fixed income markets," Markets Committee Papers 07, Bank for International Settlements.

  4. Cheng Gao & Bruce Mizrach, 2013. "Market Quality Breakdowns in Equities," Departmental Working Papers 201318, Rutgers University, Department of Economics.

    Cited by:

    1. Mestel, Roland & Steffen, Viktoria & Theissen, Erik, 2024. "Algorithmic trading and mini flash crashes: Evidence from Austria," Economics Letters, Elsevier, vol. 244(C).
    2. Geir-Are Karvik & Joseph Noss & Jack Worlidge & Daniel Beale, 2018. "The deeds of speed: an agent-based model of market liquidity and flash episodes," Bank of England Staff Working Paper series 743, Bank of England.
    3. Elias Strehle, 2016. "Optimal Execution in a Multiplayer Model of Transient Price Impact," Papers 1609.00599, arXiv.org, revised Mar 2019.
    4. Thomas H. McInish & Olena Nikolsko‐Rzhevska & Alex Nikolsko‐Rzhevskyy & Irina Panovska, 2020. "Fast and slow cancellations and trader behavior," Financial Management, Financial Management Association International, vol. 49(4), pages 973-996, December.
    5. Bellia, Mario & Christensen, Kim & Kolokolov, Aleksey & Pelizzon, Loriana & Renò, Roberto, 2025. "Do designated market makers provide liquidity during downward extreme price movements?," Journal of Financial Markets, Elsevier, vol. 76(C).
    6. Zhou, Hao & Kalev, Petko S., 2019. "Algorithmic and high frequency trading in Asia-Pacific, now and the future," Pacific-Basin Finance Journal, Elsevier, vol. 53(C), pages 186-207.
    7. Steffen, Viktoria, 2023. "A literature review on extreme price movements with reversal," Journal of Behavioral and Experimental Finance, Elsevier, vol. 38(C).
    8. Flora, Maria & Renò, Roberto, 2025. "V-shapes," Journal of Banking & Finance, Elsevier, vol. 179(C).
    9. Christophe Desagre & Floris Laly & Mikael Petitjean, 2025. "Revisiting the trading activity of high-frequency trading firms around ultra-fast flash events," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 11(1), pages 1-37, December.
    10. Rif, Alexandru & Utz, Sebastian, 2021. "Short-term stock price reversals after extreme downward price movements," The Quarterly Review of Economics and Finance, Elsevier, vol. 81(C), pages 123-133.
    11. Saketh Aleti & Bruce Mizrach, 2021. "Bitcoin spot and futures market microstructure," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(2), pages 194-225, February.
    12. Zhou, Hao & Kalev, Petko S. & Frino, Alex, 2020. "Algorithmic trading in turbulent markets," Pacific-Basin Finance Journal, Elsevier, vol. 62(C).
    13. Aghanya, Daniel & Agarwal, Vineet & Poshakwale, Sunil, 2020. "Market in Financial Instruments Directive (MiFID), stock price informativeness and liquidity," Journal of Banking & Finance, Elsevier, vol. 113(C).
    14. Ekinci, Cumhur & Ersan, Oğuz, 2022. "High-frequency trading and market quality: The case of a “slightly exposed” market," International Review of Financial Analysis, Elsevier, vol. 79(C).
    15. Zhou, Hao & Elliott, Robert J. & Kalev, Petko S., 2019. "Information or noise: What does algorithmic trading incorporate into the stock prices?," International Review of Financial Analysis, Elsevier, vol. 63(C), pages 27-39.
    16. Stefan Scharnowski & Yanghua Shi, 2026. "Bitcoin Blackout: Proof-of-Work and the Risks of Mining Centralization," Working Papers EMS_2026_08, Research Institute, International University of Japan.
    17. Schlepper, Kathi, 2016. "High-frequency trading in the Bund futures market," Discussion Papers 15/2016, Deutsche Bundesbank.

  5. Yoichi Otsubo & Bruce Mizrach, 2012. "The Market Microstructure of the European Climate Exchange," LSF Research Working Paper Series 12-7, Luxembourg School of Finance, University of Luxembourg.

    Cited by:

    1. Koch, Nicolas & Grosjean, Godefroy & Fuss, Sabine & Edenhofer, Ottmar, 2016. "Politics matters: Regulatory events as catalysts for price formation under cap-and-trade," Journal of Environmental Economics and Management, Elsevier, vol. 78(C), pages 121-139.
    2. Fassas, Athanasios P. & Papadamou, Stephanos & Koulis, Alexandros, 2020. "Price discovery in bitcoin futures," Research in International Business and Finance, Elsevier, vol. 52(C).
    3. Vicente Medina Martínez & Ángel Pardo Tornero & Roberto Pascual, 2012. "The timeline of trading fricions in the European Carbon Market," Working Papers. Serie AD 2012-05, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    4. Iordanis Kalaitzoglou & Boulis Maher Ibrahim, 2010. "Does Order Flow in the European Carbon Allowances Market Reveal Information?," CFI Discussion Papers 1003, Centre for Finance and Investment, Heriot Watt University.
    5. Friedrich, Marina & Mauer, Eva-Maria & Pahle, Michael & Tietjen, Oliver, 2020. "From fundamentals to financial assets: the evolution of understanding price formation in the EU ETS," EconStor Preprints 225210, ZBW - Leibniz Information Centre for Economics.
    6. Koop, Gary & Tole, Lise, 2013. "Modeling the relationship between European carbon permits and certified emission reductions," Journal of Empirical Finance, Elsevier, vol. 24(C), pages 166-181.
    7. Medina, Vicente & Pardo, Ángel & Pascual, Roberto, 2014. "The timeline of trading frictions in the European carbon market," Energy Economics, Elsevier, vol. 42(C), pages 378-394.
    8. Sun, Tao & Zhang, Heng-Guo, 2025. "Does carbon news influence carbon prices?–Taking China's carbon market as an example," Energy, Elsevier, vol. 333(C).
    9. Vadhava, Charu, 2025. "Role of ECX futures in carbon pricing: Intraday evidence from EU-ETS," Economics Letters, Elsevier, vol. 253(C).
    10. Zhou, Xinxing & Gao, Yan & Wang, Ping & Zhu, Bangzhu & Wu, Zhanchi, 2022. "Does herding behavior exist in China's carbon markets?," Applied Energy, Elsevier, vol. 308(C).
    11. Omid Sabbaghi & Navid Sabbaghi, 2017. "The Chicago Climate Exchange and market efficiency: an empirical analysis," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 19(4), pages 711-734, October.
    12. Dirk G. Baur & Thomas Dimpfl, 2019. "Price discovery in bitcoin spot or futures?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(7), pages 803-817, July.
    13. Schulmeister, Stephan, 2020. "Fixing long-term price paths for fossil energy – the optimal incentive for limiting global warming," ifso expertise 9, University of Duisburg-Essen, Institute for Socioeconomics (ifso).
    14. Gbenga Ibikunle & Andros Gregoriou & Naresh R. Pandit, 2013. "Price Discovery and Trading after Hours: New Evidence from the World's Largest Carbon Exchange," International Journal of the Economics of Business, Taylor & Francis Journals, vol. 20(3), pages 421-445, November.
    15. Huang, Wenyang & Wang, Huiwen & Qin, Haotong & Wei, Yigang & Chevallier, Julien, 2022. "Convolutional neural network forecasting of European Union allowances futures using a novel unconstrained transformation method," Energy Economics, Elsevier, vol. 110(C).
    16. Iordanis Angelos Kalaitzoglou, 2025. "Cleaning the carbon market! Market transparency and market efficiency in the EU ETS," Annals of Operations Research, Springer, vol. 347(1), pages 501-533, April.
    17. Ibikunle, Gbenga & Gregoriou, Andros & Hoepner, Andreas G.F. & Rhodes, Mark, 2016. "Liquidity and market efficiency in the world's largest carbon market," The British Accounting Review, Elsevier, vol. 48(4), pages 431-447.
    18. N'Gatta, Donald & Ormazabal, Gaizka & Raney, Robert, 2025. "Trading of emission allowances and reporting incentives," Journal of Accounting and Economics, Elsevier, vol. 80(2).
    19. Ping Wei & Jingzi Zhou & Xiaohang Ren & Luu Duc Toan Huynh, 2025. "Financialisation of the European Union Emissions Trading System and its influencing factors in quantiles," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 30(1), pages 925-940, January.
    20. Zhong, Meirui & Zhang, Rui & Ren, Xiaohang, 2023. "The time-varying effects of liquidity and market efficiency of the European Union carbon market: Evidence from the TVP-SVAR-SV approach," Energy Economics, Elsevier, vol. 123(C).
    21. Kalaitzoglou, Iordanis Angelos, 2026. "Lost in the crowd! Pricing carbon at the age of algorithms," International Review of Financial Analysis, Elsevier, vol. 109(C).
    22. Chen, Jiayuan & Muckley, Cal B. & Bredin, Don, 2017. "Is information assimilated at announcements in the European carbon market?," Energy Economics, Elsevier, vol. 63(C), pages 234-247.
    23. Kalaitzoglou, Iordanis & Ibrahim, Boulis Maher, 2013. "Trading patterns in the European carbon market: The role of trading intensity and OTC transactions," The Quarterly Review of Economics and Finance, Elsevier, vol. 53(4), pages 402-416.
    24. Rannou, Yves & Barneto, Pascal, 2016. "Futures trading with information asymmetry and OTC predominance: Another look at the volume/volatility relations in the European carbon markets," Energy Economics, Elsevier, vol. 53(C), pages 159-174.
    25. Alejandro Garc'ia Figal & Alejandro Lage Castellanos & Roberto Mulet, 2025. "Looking into informal currency markets as Limit Order Books: impact of market makers," Papers 2503.03858, arXiv.org.
    26. Koch, Nicolas & Fuss, Sabine & Grosjean, Godefroy & Edenhofer, Ottmar, 2014. "Causes of the EU ETS price drop: Recession, CDM, renewable policies or a bit of everything?—New evidence," Energy Policy, Elsevier, vol. 73(C), pages 676-685.
    27. Kapar, Burcu & Olmo, Jose, 2019. "An analysis of price discovery between Bitcoin futures and spot markets," Economics Letters, Elsevier, vol. 174(C), pages 62-64.
    28. Kalaitzoglou, Iordanis Angelos & Ibrahim, Boulis Maher, 2015. "Liquidity and resolution of uncertainty in the European carbon futures market," International Review of Financial Analysis, Elsevier, vol. 37(C), pages 89-102.
    29. Schultz, Emma & Swieringa, John, 2014. "Catalysts for price discovery in the European Union Emissions Trading System," Journal of Banking & Finance, Elsevier, vol. 42(C), pages 112-122.
    30. Liu, Dinggao & Chen, Kaijie & Cai, Yi & Tang, Zhenpeng, 2024. "Interpretable EU ETS Phase 4 prices forecasting based on deep generative data augmentation approach," Finance Research Letters, Elsevier, vol. 61(C).
    31. Adrian Fernandez‐Perez & Bart Frijns & Ivan Indriawan & Alireza Tourani‐Rad, 2019. "Surprise and dispersion: informational impact of USDA announcements," Agricultural Economics, International Association of Agricultural Economists, vol. 50(1), pages 113-126, January.
    32. Zhou, Liyun & Zhang, Rixin & Huang, Jialiang, 2019. "Investor trading behavior on agricultural future prices," The North American Journal of Economics and Finance, Elsevier, vol. 47(C), pages 365-379.
    33. Koch, Nicolas & Bassen, Alexander, 2013. "Valuing the carbon exposure of European utilities. The role of fuel mix, permit allocation and replacement investments," Energy Economics, Elsevier, vol. 36(C), pages 431-443.
    34. Mazza, Paolo & Petitjean, Mikael, 2015. "How integrated is the European carbon derivatives market?," Finance Research Letters, Elsevier, vol. 15(C), pages 18-30.
    35. Iordanis Angelos Kalaitzoglou & Boulis Maher Ibrahim, 2015. "Liquidity and resolution of uncertainty in the European carbon futures market," Post-Print hal-01107956, HAL.
    36. Rannou, Yves, 2019. "Limit order books, uninformed traders and commodity derivatives: Insights from the European carbon futures," Economic Modelling, Elsevier, vol. 81(C), pages 387-410.
    37. Ruwei Zhao & Xiong Xiong & Dehua Shen & Wei Zhang, 2019. "Investor Structure and Stock Price Crash Risk in a Continuous Double Auction Market: An Agent-Based Perspective," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 18(02), pages 695-715, March.
    38. Palao, Fernando & Pardo, Ángel, 2014. "What makes carbon traders cluster their orders?," Energy Economics, Elsevier, vol. 43(C), pages 158-165.
    39. Philip, Dennis & Shi, Yukun, 2016. "Optimal hedging in carbon emission markets using Markov regime switching models," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 43(C), pages 1-15.
    40. Ibrahim, Boulis Maher & Kalaitzoglou, Iordanis Angelos, 2016. "Why do carbon prices and price volatility change?," Journal of Banking & Finance, Elsevier, vol. 63(C), pages 76-94.
    41. Rannou, Yves, 2017. "Liquidity, information, strategic trading in an electronic order book: New insights from the European carbon markets," Research in International Business and Finance, Elsevier, vol. 39(PB), pages 779-808.
    42. Kalaitzoglou, Iordanis & Ibrahim, Boulis M., 2013. "Does order flow in the European Carbon Futures Market reveal information?," Journal of Financial Markets, Elsevier, vol. 16(3), pages 604-635.
    43. Bredin, Don & Hyde, Stuart & Muckley, Cal, 2014. "A microstructure analysis of the carbon finance market," International Review of Financial Analysis, Elsevier, vol. 34(C), pages 222-234.
    44. Duan, Kun & Ren, Xiaohang & Shi, Yukun & Mishra, Tapas & Yan, Cheng, 2021. "The marginal impacts of energy prices on carbon price variations: Evidence from a quantile-on-quantile approach," Energy Economics, Elsevier, vol. 95(C).
    45. Yinpeng Liu & Xiangyun Gao & Jianfeng Guo, 2018. "Network Features of the EU Carbon Trade System: An Evolutionary Perspective," Energies, MDPI, vol. 11(6), pages 1-16, June.
    46. Nicolas Koch, 2014. "Dynamic linkages among carbon, energy and financial markets: a smooth transition approach," Applied Economics, Taylor & Francis Journals, vol. 46(7), pages 715-729, March.

  6. Oleg Korenok & Bruce Mizrach & Stanislav Radchenko, 2011. "A Structural Approach To Information Shares," Departmental Working Papers 201130, Rutgers University, Department of Economics.

    Cited by:

    1. Guglielmo Maria Caporale & Alessandro Girardi, 2011. "Price Discovery and Trade Fragmentation in a Multi-Market Environment: Evidence from the MTS System," Discussion Papers of DIW Berlin 1139, DIW Berlin, German Institute for Economic Research.
    2. Sait Ozturk & Michel van der Wel, 2014. "Intraday Price Discovery in Fragmented Markets," Tinbergen Institute Discussion Papers 14-027/III, Tinbergen Institute.
    3. Sait R. Ozturk & Michel van der Wel & Dick van Dijk, 2015. "Why do Pit-Hours outlive the Pit?," Tinbergen Institute Discussion Papers 15-082/III, Tinbergen Institute.
    4. Marcio Garcia & Marcelo Medeiros & Francisco Santos, 2014. "Price Discovery in Brazilian FX Markets," Textos para discussão 622, Department of Economics PUC-Rio (Brazil).

  7. Liuling Li & Bruce Mizrach, 2010. "Tail Return Analysis of Bear Stearns Credit Default Swaps," Departmental Working Papers 201003, Rutgers University, Department of Economics.

    Cited by:

    1. Ferrara, Gerardo & Kim, Jun Sung & Koo, Bonsoo & Liu, Zijun, 2021. "Counterparty choice in the UK credit default swap market: An empirical matching approach," Economic Modelling, Elsevier, vol. 94(C), pages 58-74.

  8. Bruce Mizrach, 2009. "Integration of the Global Emissions Trading Markets," Departmental Working Papers 200901, Rutgers University, Department of Economics.

    Cited by:

    1. Nazifi, Fatemeh, 2013. "Modelling the price spread between EUA and CER carbon prices," Energy Policy, Elsevier, vol. 56(C), pages 434-445.
    2. Hilary Sigman, 2011. "Monitoring and Enforcement of Climate Policy," NBER Chapters, in: The Design and Implementation of US Climate Policy, pages 213-225, National Bureau of Economic Research, Inc.
    3. Omid Sabbaghi & Navid Sabbaghi, 2014. "An empirical analysis of the Carbon Financial Instrument," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 38(2), pages 209-234, April.

  9. Michael J. Fleming & Bruce Mizrach & Giang Nguyen, 2009. "The microstructure of a U.S. Treasury ECN: the BrokerTec platform," Staff Reports 381, Federal Reserve Bank of New York.

    Cited by:

    1. Moinas, Sophie, 2010. "Hidden Limit Orders and Liquidity in Order Driven Markets," TSE Working Papers 10-147, Toulouse School of Economics (TSE).
    2. Tang, Yunshu & Xie, Wenyan & Li, Dong Andrew & Ruan, Yaoyun, 2023. "Market liquidity migration’s effects on the relationship between stock liquidity and stock price crash risk: Evidence from China," The Quarterly Review of Economics and Finance, Elsevier, vol. 91(C), pages 158-169.
    3. Nihad Aliyev & Matteo Aquilina & Khaladdin Rzayev & Sonya Zhu, 2024. "Through stormy seas: how fragile is liquidity across asset classes and time?," BIS Working Papers 1229, Bank for International Settlements.
    4. Chaboud, Alain P. & Chiquoine, Benjamin & Hjalmarsson, Erik & Loretan, Mico, 2010. "Frequency of observation and the estimation of integrated volatility in deep and liquid financial markets," Journal of Empirical Finance, Elsevier, vol. 17(2), pages 212-240, March.
    5. Rubén Fernández-Fuertes, 2025. "Monetary Policy Shocks: A New Hope. Large Language Models and Central Bank Communication," BAFFI CAREFIN Working Papers 25257, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    6. Makoto Takahashi, 2025. "Returns and Order Flow Imbalances: Intraday Dynamics and Macroeconomic News Effects," Papers 2508.06788, arXiv.org, revised Oct 2025.
    7. Gabor Pinter & Chaojun Wang & Junyuan Zou, 2024. "Size Discount and Size Penalty: Trading Costs in Bond Markets," The Review of Financial Studies, Society for Financial Studies, vol. 37(7), pages 2156-2190.
    8. Darrell Duffie & Michael Fleming & Frank Keane & Claire Nelson & Or Shachar & Peter Van Tassel, 2023. "Dealer capacity and US Treasury market functionality," BIS Working Papers 1138, Bank for International Settlements.
    9. Richie R. Ma & Teresa Serra, 2025. "Is liquidity provision informative? Evidence from agricultural futures markets," American Journal of Agricultural Economics, John Wiley & Sons, vol. 107(1), pages 125-151, January.
    10. Z. Sun & P. A. Hamill & Y. Li & Y. C. Yang & S. A. Vigne, 2019. "Did long-memory of liquidity signal the European sovereign debt crisis?," Annals of Operations Research, Springer, vol. 282(1), pages 355-377, November.
    11. Chen, Marie & Garriott, Corey, 2020. "High-frequency trading and institutional trading costs," Journal of Empirical Finance, Elsevier, vol. 56(C), pages 74-93.
    12. Dmitry Zotikov & Anton Antonov, 2019. "CME Iceberg Order Detection and Prediction," Papers 1909.09495, arXiv.org.
    13. Bruce Mizrach & Christopher J. Neely, 2007. "The microstructure of the U.S. treasury market," Working Papers 2007-052, Federal Reserve Bank of St. Louis.
    14. Fabienne Schneider, 2024. "On-the-run Premia, Settlement Fails, and Central Bank Access," Working Papers 24.05, Swiss National Bank, Study Center Gerzensee.
    15. Song, Zhaogang & Zhu, Haoxiang, 2018. "Quantitative easing auctions of Treasury bonds," Journal of Financial Economics, Elsevier, vol. 128(1), pages 103-124.
    16. Lien, Donald & Hung, Pi-Hsia & Lin, Zong-Wei, 2020. "Whose trades move stock prices? Evidence from the Taiwan Stock Exchange," International Review of Economics & Finance, Elsevier, vol. 66(C), pages 25-50.
    17. Indriawan, Ivan & Jiao, Feng & Tse, Yiuman, 2021. "The FOMC announcement returns on long-term US and German bond futures," Journal of Banking & Finance, Elsevier, vol. 123(C).
    18. Eric Ghysels & Giang Nguyen, 2019. "Price Discovery of a Speculative Asset: Evidence from a Bitcoin Exchange," JRFM, MDPI, vol. 12(4), pages 1-26, October.
    19. Coluzzi, Chiara & Ginebri, Sergio & Turco, Manuel, 2008. "Measuring and Analyzing the Liquidity of the Italian Treasury Security Wholesale Secondary Market," Economics & Statistics Discussion Papers esdp08044, University of Molise, Department of Economics.
    20. Pelizzon, Loriana & Subrahmanyam, Marti G. & Tomio, Davide & Uno, Jun, 2016. "Sovereign credit risk, liquidity, and European Central Bank intervention: Deus ex machina?," Journal of Financial Economics, Elsevier, vol. 122(1), pages 86-115.
    21. Robert Engle & Michael J. Fleming & Eric Ghysels & Giang Nguyen, 2012. "Liquidity and volatility in the U.S. treasury market," Staff Reports 590, Federal Reserve Bank of New York.
    22. Sun, Zhuowei & Dunne, Peter G. & Li, Youwei, 2015. "Price discovery in the dual-platform US Treasury market," Global Finance Journal, Elsevier, vol. 28(C), pages 95-110.
    23. Michael Fleming & Giang Nguyen & Francisco Ruela, 2024. "Tick Size, Competition for Liquidity Provision, and Price Discovery: Evidence from the U.S. Treasury Market," Management Science, INFORMS, vol. 70(1), pages 332-354, January.
    24. Ari Kutai & Daniel Nathan & Milena Wittwer, 2025. "Exchanges for Government Bonds? Evidence During COVID-19," Management Science, INFORMS, vol. 71(10), pages 8948-8966, October.
    25. Jacobs, Kris & Mai, Anh Thu, 2024. "The role of intermediaries in derivatives markets: Evidence from VIX options," Journal of Empirical Finance, Elsevier, vol. 77(C).
    26. Jens H. E. Christensen & James M. Gillan, 2011. "A model-independent maximum range for the liquidity correction of TIPS yields," Working Paper Series 2011-16, Federal Reserve Bank of San Francisco.
    27. David Alaminos & Marã A Belã‰N Salas & Manuel A. Fernã Ndez-Gã Mez, 2025. "Deep Neural Networks Methods For Estimating Market Microstructure And Speculative Attacks Models: The Case Of Government Bond Market," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 70(04), pages 1069-1104, June.
    28. Zhu, Hongyu & Yamamoto, Ryuichi, 2022. "Order submission, information asymmetry, and tick size," Pacific-Basin Finance Journal, Elsevier, vol. 74(C).
    29. Adrian, Tobias & Capponi, Agostino & Fleming, Michael & Vogt, Erik & Zhang, Hongzhong, 2020. "Intraday market making with overnight inventory costs," Journal of Financial Markets, Elsevier, vol. 50(C).
    30. Yamamoto, Shuhei & Janzen, Joseph P. & Serra, Teresa, 2024. "Autopsy of a futures market failure: Japan’s Dojima rice futures in the early 21st century," Food Policy, Elsevier, vol. 128(C).
    31. Hajime Tomura, 2012. "On the Existence and Fragility of Repo Markets," Staff Working Papers 12-17, Bank of Canada.
    32. Stefania D’Amico & N Aaron Pancost, 2022. "Special Repo Rates and the Cross-Section of Bond Prices: The Role of the Special Collateral Risk Premium [Pr icing the term structure with linear regressions]," Review of Finance, European Finance Association, vol. 26(1), pages 117-162.
    33. Coluzzi, Chiara & Ginebri, Sergio, 2008. "Order Dynamics in the Italian Treasury Security Wholesale Secondary Market," Economics & Statistics Discussion Papers esdp08050, University of Molise, Department of Economics.
    34. Frey, Stefan & Sandås, Patrik, 2009. "The impact of iceberg orders in limit order books," CFR Working Papers 09-06, University of Cologne, Centre for Financial Research (CFR).
    35. Joel Hasbrouck, 2021. "Rejoinder on: Price Discovery in High Resolution," Journal of Financial Econometrics, Oxford University Press, vol. 19(3), pages 465-471.
    36. Wenqian Huang & Peter O'Neill & Angelo Ranaldo & Shihao Yu, 2023. "HFTs and Dealer Banks: Liquidity and Price Discovery in FX Trading," Swiss Finance Institute Research Paper Series 23-48, Swiss Finance Institute.
    37. Dunne, Peter G & Hau, Harald & Moore, Michael, 2008. "A Tale of Two Platforms: Dealer Intermediation in the European Sovereign Bond Market," CEPR Discussion Papers 6969, Centre for Economic Policy Research.
    38. Tian, Xiao & Duong, Huu Nhan & Kalev, Petko S., 2019. "Information content of the limit order book for crude oil futures price volatility," Energy Economics, Elsevier, vol. 81(C), pages 584-597.
    39. Han, Seung-Oh & Huh, Sahn-Wook & Park, Jeayoung, 2023. "Detecting jumps amidst prevalent zero returns: Evidence from the U.S. Treasury securities," Journal of Empirical Finance, Elsevier, vol. 70(C), pages 276-307.
    40. Fabienne Schneider, 2025. "On-the-run Premia, Settlement Fails, and Central Bank Access," Staff Working Papers 25-19, Bank of Canada.
    41. Comerton-Forde, Carole & Grégoire, Vincent & Zhong, Zhuo, 2019. "Inverted fee structures, tick size, and market quality," Journal of Financial Economics, Elsevier, vol. 134(1), pages 141-164.
    42. Lin, Hai & Lo, Ingrid & Qiao, Rui, 2021. "Macroeconomic news announcements and market efficiency: Evidence from the U.S. Treasury market," Journal of Banking & Finance, Elsevier, vol. 133(C).
    43. Amaya, Diego & Filbien, Jean-Yves & Okou, Cédric & Roch, Alexandre F., 2018. "Distilling liquidity costs from limit order books," Journal of Banking & Finance, Elsevier, vol. 94(C), pages 16-34.
    44. Hasbrouck, Joel & Levich, Richard M., 2021. "Network structure and pricing in the FX market," Journal of Financial Economics, Elsevier, vol. 141(2), pages 705-729.
    45. Onur, Esen & Roberts, John S. & Tuzun, Tugkan, 2023. "Trader positions and aggregate portfolio demand," The Journal of Economic Asymmetries, Elsevier, vol. 27(C).
    46. Dumitru, Ana-Maria & Urga, Giovanni, 2016. "Jumps and Information Asymmetry in the US Treasury Market," EconStor Preprints 130148, ZBW - Leibniz Information Centre for Economics.
    47. James, Robert & Jarnecic, Elvis & Leung, Henry, 2022. "Who Values Economist Forecasts? Evidence From Trading in Treasury Markets," Journal of Financial Intermediation, Elsevier, vol. 49(C).
    48. Mehdi Arzandeh & Julieta Frank & Justin Daniels, 2025. "Real‐Time Tracking of Public Announcements in the Limit Order Book," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 45(6), pages 569-599, June.
    49. Alex Aronovich & Andrew C. Meldrum, 2021. "High-Frequency Estimates of the Natural Real Rate and Inflation Expectations," Finance and Economics Discussion Series 2021-034, Board of Governors of the Federal Reserve System (U.S.).
    50. Çağlayan-Gümüş, Ayşe & Karahan, Cenk C., 2024. "Information content of the limit order book: A cross-sectional analysis in Borsa Istanbul," Global Finance Journal, Elsevier, vol. 62(C).
    51. William Dudley & Michelle Steinberg Ezer & Jennifer E. Roush, 2009. "The case for TIPS: an examination of the costs and benefits," Economic Policy Review, Federal Reserve Bank of New York, vol. 15(Jul), pages 1-17.
    52. Jiang, George J. & Lo, Ingrid, 2014. "Private information flow and price discovery in the U.S. treasury market," Journal of Banking & Finance, Elsevier, vol. 47(C), pages 118-133.

  10. Huimin Chung & Jie Lu & Bruce Mizrach, 2009. "An Empirical Analysis of the Shanghai and Shenzen Limit Order Books," CQE Working Papers 0109, Center for Quantitative Economics (CQE), University of Muenster.

    Cited by:

    1. Chiarella, Carl & He, Xue-Zhong & Wei, Lijian, 2015. "Learning, information processing and order submission in limit order markets," Journal of Economic Dynamics and Control, Elsevier, vol. 61(C), pages 245-268.
    2. Westerlund, Joakim & Narayan, Paresh Kumar & Zheng, Xinwei, 2015. "Testing for stock return predictability in a large Chinese panel," Emerging Markets Review, Elsevier, vol. 24(C), pages 81-100.

  11. Bruce Mizrach, 2008. "Jump and Cojump Risk in Subprime Home Equity Derivatives," Departmental Working Papers 200802, Rutgers University, Department of Economics.

    Cited by:

    1. Giovanni, Calice, 2011. "The subprime asset-backed securities market and the equity prices of large complex financial institutions," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 21(4), pages 585-604, October.
    2. Melisso Boschi & Massimiliano Marzo & Simone Salotti, 2015. "Domestic versus international determinants of European business cycles: a GVAR approach," Empirical Economics, Springer, vol. 49(2), pages 403-421, September.
    3. Ingo Fender & Martin Scheicher, 2008. "The ABX: how do the markets price subprime mortgage risk?," BIS Quarterly Review, Bank for International Settlements, September.
    4. Guglielmo Maria Caporale & Alessandro Girardi, 2011. "Price Discovery and Trade Fragmentation in a Multi-Market Environment: Evidence from the MTS System," Discussion Papers of DIW Berlin 1139, DIW Berlin, German Institute for Economic Research.
    5. Bruce Mizrach, 2012. "Comment on "Endogenous and Systemic Risk"," NBER Chapters, in: Quantifying Systemic Risk, pages 94-105, National Bureau of Economic Research, Inc.
    6. Ming‐Chi Chen & Chia‐Chien Chang & Shih‐Kuei Lin & So‐De Shyu, 2010. "Estimation of Housing Price Jump Risks and Their Impact on the Valuation of Mortgage Insurance Contracts," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 77(2), pages 399-422, June.
    7. Lee, Yung-Tsung & Wang, Chou-Wen & Huang, Hong-Chih, 2012. "On the valuation of reverse mortgages with regular tenure payments," Insurance: Mathematics and Economics, Elsevier, vol. 51(2), pages 430-441.
    8. Scheicher, Martin & Fender, Ingo, 2009. "The pricing of subprime mortgage risk in good times and bad: evidence from the ABX.HE indices," Working Paper Series 1056, European Central Bank.
    9. Tseng, Tseng-Chan & Lee, Chien-Chiang & Chen, Mei-Ping, 2015. "Volatility forecast of country ETF: The sequential information arrival hypothesis," Economic Modelling, Elsevier, vol. 47(C), pages 228-234.
    10. Ingo Fender & Martin Scheicher, 2009. "The pricing of subprime mortgage risk in good times and bad: evidence from the ABX.HE indices," Applied Financial Economics, Taylor & Francis Journals, vol. 19(24), pages 1925-1945.
    11. Andrea Coppola & Alessandro Girardi & Gustavo Piga, 2012. "Overcrowding Versus Liquidity in the Euro Sovereign Bond Markets," CEIS Research Paper 222, Tor Vergata University, CEIS, revised 20 Feb 2012.
    12. Tseng Tseng-Chan & Chung Huimin & Huang Chin-Sheng, 2009. "Modeling Jump and Continuous Components in the Volatility of Oil Futures," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 13(3), pages 1-30, May.

  12. Bruce Mizrach & Christopher J. Neely, 2007. "Information shares in the U.S. treasury market," Working Papers 2005-070, Federal Reserve Bank of St. Louis.

    Cited by:

    1. 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 Staff Working Paper series 991, Bank of England.
    2. Iraklis Kollias & John Leventides & Vassilios G. Papavassiliou, 2024. "On the solution of games with arbitrary payoffs: An application to an over‐the‐counter financial market," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(2), pages 1877-1895, April.
    3. Schulz, Alexander & Stapf, Jelena, 2009. "Price discovery on traded inflation expectations: does the financial crisis matter?," Discussion Paper Series 1: Economic Studies 2009,25, Deutsche Bundesbank.
    4. Fricke, Christoph & Menkhoff, Lukas, 2011. "Does the "Bund" dominate price discovery in Euro bond futures? Examining information shares," Journal of Banking & Finance, Elsevier, vol. 35(5), pages 1057-1072, May.
    5. Zhang, Dan & Farnoosh, Arash & Lantz, Frédéric, 2022. "Does something change in the oil market with the COVID-19 crisis?," International Economics, Elsevier, vol. 169(C), pages 252-268.
    6. Ivan Indriawan & Feng Jiao & Yiuman Tse, 2019. "The impact of the US stock market opening on price discovery of government bond futures," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(7), pages 779-802, July.
    7. Fleming, Michael J. & Mizrach, Bruce & Nguyen, Giang, 2018. "The microstructure of a U.S. Treasury ECN: The BrokerTec platform," Journal of Financial Markets, Elsevier, vol. 40(C), pages 2-22.
    8. Chen, Yu-Lun & Mo, Wan-Shin & Chang, Ya-Kai, 2022. "Investor sentiment spillover effect and market quality in crude oil futures," International Review of Economics & Finance, Elsevier, vol. 82(C), pages 177-193.
    9. Christoph Schmidhammer & Sebastian Lobe & Klaus Röder, 2016. "The day the index rose 11 %: a clinical study on price discovery reversal," Review of Quantitative Finance and Accounting, Springer, vol. 46(1), pages 79-106, January.
    10. Gustavo Fruet Dias & Marcelo Fernandes & Cristina M. Scherrer, 2016. "Component shares in continuous time," CREATES Research Papers 2016-25, Department of Economics and Business Economics, Aarhus University.
    11. Chen, Yu-Lun & Chang, Ya-Kai, 2015. "Investor structure and the informational efficiency of commodity futures prices," International Review of Financial Analysis, Elsevier, vol. 42(C), pages 358-367.
    12. Dungey, Mardi & Henry, Olan T & Hvodzdyk, Lyudmyla, 2013. "The impact of jumps and thin trading on realized hedge ratios," Working Papers 2013-02, University of Tasmania, Tasmanian School of Business and Economics, revised 28 Mar 2013.
    13. Andrade, Sandro C. & Barrett, W. Brian, 2011. "Can broker-dealer client surveys provide signals for debt investing?," Journal of Banking & Finance, Elsevier, vol. 35(5), pages 1170-1178, May.
    14. Li, Wei-Xuan & Chen, Clara Chia-Sheng & Nguyen, James, 2022. "Which market dominates the price discovery in currency futures? The case of the Chicago Mercantile Exchange and the Intercontinental Exchange," Global Finance Journal, Elsevier, vol. 52(C).
    15. Bruce Mizrach & Christopher J. Neely, 2006. "The transition to electronic communications networks in the secondary treasury market," Review, Federal Reserve Bank of St. Louis, vol. 88(Nov), pages 527-542.
    16. Yu-Lun Chen & Yin-Feng Gau & Wen-Ju Liao, 2016. "Trading activities and price discovery in foreign currency futures markets," Review of Quantitative Finance and Accounting, Springer, vol. 46(4), pages 793-818, May.
    17. Yu-Lun Chen, 2020. "News announcements and price discovery in the RMB–USD market," Review of Quantitative Finance and Accounting, Springer, vol. 54(4), pages 1487-1508, May.
    18. Cristina M. Scherrer, 2014. "Cross listing: price discovery dynamics and exchange rate effects," CREATES Research Papers 2014-53, Department of Economics and Business Economics, Aarhus University.
    19. Wang, Yun-Yi & Chang, Chiung-Chiao & Lee, Wan-Chen, 2013. "Price discovery between regular and mini index futures in the Taiwan Futures Exchange," International Review of Economics & Finance, Elsevier, vol. 27(C), pages 224-237.
    20. Bruce Mizrach & Christopher J. Neely, 2007. "The microstructure of the U.S. treasury market," Working Papers 2007-052, Federal Reserve Bank of St. Louis.
    21. Joshua V. Rosenberg & Leah G. Traub, 2006. "Price discovery in the foreign currency futures and spot market," Staff Reports 262, Federal Reserve Bank of New York.
    22. Kerssenfischer, Mark & Helmus, Caspar, 2024. "Outages in sovereign bond markets," Working Paper Series 2944, European Central Bank.
    23. Sun, Zhuowei & Dunne, Peter G. & Li, Youwei, 2015. "Price Discovery in the Dual-Platform US Treasury Market," MPRA Paper 61440, University Library of Munich, Germany.
    24. Chen, Yu-Lun & Gau, Yin-Feng, 2014. "Asymmetric responses of ask and bid quotes to information in the foreign exchange market," Journal of Banking & Finance, Elsevier, vol. 38(C), pages 194-204.
    25. Zhuang, Yangyang & Zhang, Ditian & Tang, Pan & Peng, Hongjuan, 2024. "Clustering effects and evolution of the global major 10-year government bond market structure: A network perspective," The North American Journal of Economics and Finance, Elsevier, vol. 70(C).
    26. Fei Su & Lei Wang, 2020. "Conditional Volatility Persistence and Realized Volatility Asymmetry: Evidence from the Chinese Stock Markets," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 56(14), pages 3252-3269, November.
    27. Dias, Gustavo Fruet & Fernandes, Marcelo & Scherrer, Cristina Mabel, 2017. "Improving on daily measures of price discovery," Textos para discussão 444, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    28. Frijns, Bart & Gilbert, Aaron & Tourani-Rad, Alireza, 2010. "The dynamics of price discovery for cross-listed shares: Evidence from Australia and New Zealand," Journal of Banking & Finance, Elsevier, vol. 34(3), pages 498-508, March.
    29. Ran Xiao, 2019. "Essays on Price Discovery and Volatility Dynamics in Emerging Market Currencies," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 5-2019, January-A.
    30. Kaul, Aditya & Sapp, Stephen, 2009. "Trading activity, dealer concentration and foreign exchange market quality," Journal of Banking & Finance, Elsevier, vol. 33(11), pages 2122-2131, November.
    31. Christoph Schmidhammer & Sebastian Lobe & Klaus Röder, 2014. "The real benchmark of DAX index products and the influence of information dissemination: A natural experiment," Journal of Asset Management, Palgrave Macmillan, vol. 15(2), pages 129-149, April.
    32. Nicoló Andrea Caserini & Paolo Pagnottoni, 2022. "Effective transfer entropy to measure information flows in credit markets," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 31(4), pages 729-757, October.
    33. Indriawan, Ivan & Jiao, Feng & Tse, Yiuman, 2021. "The FOMC announcement returns on long-term US and German bond futures," Journal of Banking & Finance, Elsevier, vol. 123(C).
    34. Hung, Jui-Cheng & Liu, Hung-Chun & Yang, J. Jimmy, 2021. "Trading activity and price discovery in Bitcoin futures markets," Journal of Empirical Finance, Elsevier, vol. 62(C), pages 107-120.
    35. Yu‐Lun Chen & Yen‐Hsien Lee & Robin K. Chou & Ya‐Kai Chang, 2021. "Arbitrage trading and price discovery of the regular and mini Taiwan stock index futures," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(6), pages 926-948, June.
    36. Griffiths, Mark D. & Lindley, James T. & Winters, Drew B., 2010. "Market-making costs in Treasury bills: A benchmark for the cost of liquidity," Journal of Banking & Finance, Elsevier, vol. 34(9), pages 2146-2157, September.
    37. Sarveshwar Kumar Inani, 2017. "Price discovery in Indian stock index futures market: new evidence based on intraday data," International Journal of Indian Culture and Business Management, Inderscience Enterprises Ltd, vol. 14(1), pages 23-43.
    38. Chen, Yu-Lun & Tsai, Wei-Che, 2017. "Determinants of price discovery in the VIX futures market," Journal of Empirical Finance, Elsevier, vol. 43(C), pages 59-73.
    39. Coluzzi, Chiara & Ginebri, Sergio & Turco, Manuel, 2008. "Measuring and Analyzing the Liquidity of the Italian Treasury Security Wholesale Secondary Market," Economics & Statistics Discussion Papers esdp08044, University of Molise, Department of Economics.
    40. Chatrath, Arjun & Christie-David, Rohan A. & Lee, Kiseop & Moore, William T., 2009. "Competitive inventory management in Treasury markets," Journal of Banking & Finance, Elsevier, vol. 33(5), pages 800-809, May.
    41. Papavassiliou, Vassilios G. & Kinateder, Harald, 2021. "Information shares and market quality before and during the European sovereign debt crisis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 72(C).
    42. Michael Fleming & Giang Nguyen & Francisco Ruela, 2024. "Tick Size, Competition for Liquidity Provision, and Price Discovery: Evidence from the U.S. Treasury Market," Management Science, INFORMS, vol. 70(1), pages 332-354, January.
    43. Lee A. Smales, 2021. "The effect of treasury auctions on 10‐year Treasury note futures," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(S1), pages 1517-1555, April.
    44. Fei Su, 2018. "Essays on Price Discovery and Volatility Dynamics in the Foreign Exchange Market," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 2-2018, January-A.
    45. Li, Miao & Xiong, Tao, 2021. "Dynamic price discovery in Chinese agricultural futures markets," Journal of Asian Economics, Elsevier, vol. 76(C).
    46. Fassas, Athanasios P., 2021. "Price discovery in US money market benchmarks: LIBOR vs. SOFR," Economics Letters, Elsevier, vol. 204(C).
    47. Alexander Schulz & Jelena Stapf, 2011. "Price discovery on traded inflation expectations: does the financial crisis matter?," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Proceedings of the IFC Conference on "Initiatives to address data gaps revealed by the financial crisis", Basel, 25-26 August 2010, volume 34, pages 202-231, Bank for International Settlements.
    48. Cremers, Martijn & Fleckenstein, Matthias & Gandhi, Priyank, 2021. "Treasury yield implied volatility and real activity," Journal of Financial Economics, Elsevier, vol. 140(2), pages 412-435.
    49. Chen, Yu-Lun & Gau, Yin-Feng, 2010. "News announcements and price discovery in foreign exchange spot and futures markets," Journal of Banking & Finance, Elsevier, vol. 34(7), pages 1628-1636, July.
    50. Fuess, Roland & Grabellus, Markus & Mager, Ferdinand & Stein, Michael, 2015. "Something in the Air: Information Density, News Surprises, and Price Jumps," Working Papers on Finance 1517, University of St. Gallen, School of Finance.
    51. Pagnottoni, Paolo & Spelta, Alessandro & Pecora, Nicolò & Flori, Andrea & Pammolli, Fabio, 2021. "Financial earthquakes: SARS-CoV-2 news shock propagation in stock and sovereign bond markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 582(C).
    52. Dan Zhang & Arash Farnoosh & Frédéric Lantz, 2022. "Does Something Change in the Oil Market with the COVID-19 Crisis ?," Post-Print hal-03601767, HAL.
    53. Sait Ozturk & Michel van der Wel, 2014. "Intraday Price Discovery in Fragmented Markets," Tinbergen Institute Discussion Papers 14-027/III, Tinbergen Institute.
    54. Jatin Malhotra & Angelo Corelli, 2021. "The Relative Informativeness of Regular and E-Mini Euro/Dollar Futures Contracts and the Role of Trader Types," Risks, MDPI, vol. 9(6), pages 1-14, June.
    55. Donald Lien & Zijun Wang, 2016. "Estimation of Market Information Shares: A Comparison," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 36(11), pages 1108-1124, November.
    56. Liu, Bo & Geman, Hélyette, 2017. "World coal markets: Still weakly integrated and moving east," Journal of Commodity Markets, Elsevier, vol. 5(C), pages 63-76.
    57. Su, Fei & Zhang, Jingjing, 2018. "Global price discovery in the Australian dollar market and its determinants," Pacific-Basin Finance Journal, Elsevier, vol. 48(C), pages 35-55.
    58. Dimpfl, Thomas & Peter, Franziska J., 2021. "Nothing but noise? Price discovery across cryptocurrency exchanges," Journal of Financial Markets, Elsevier, vol. 54(C).
    59. Wu, Zhen-Xing & Gau, Yin-Feng & Chen, Yu-Lun, 2023. "Price discovery and triangular arbitrage in currency markets," Journal of International Money and Finance, Elsevier, vol. 137(C).
    60. Hu, Zhepeng & Mallory, Mindy & Serra, Teresa, 2017. "Measuring Price Discovery between Nearby and Deferred Contracts in Storable and Non-Storable Commodity Futures Markets," 2017 Conference, April 24-25, 2017, St. Louis, Missouri 285866, NCR-134/ NCCC-134 Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    61. Zhou, Yu & Chen, Shi, 2016. "Cross-correlation analysis between Chinese TF contracts and treasury ETF based on high-frequency data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 443(C), pages 117-127.
    62. George Jiang & Ingrid Lo & Giorgio Valente, 2014. "High-Frequency Trading around Macroeconomic News Announcements: Evidence from the U.S. Treasury Market," Staff Working Papers 14-56, Bank of Canada.
    63. Alexander, Carol & Heck, Daniel F., 2020. "Price discovery in Bitcoin: The impact of unregulated markets," Journal of Financial Stability, Elsevier, vol. 50(C).
    64. Yu‐Lun Chen & J. Jimmy Yang, 2024. "Time‐varying price discovery in regular and microbitcoin futures," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 44(1), pages 103-121, January.
    65. Liwei Jin & Xianghui Yuan & Shihao Wang & Peiran Li & Feng Lian, 2022. "Trades or quotes: Which drives price discovery? Evidence from Chinese index futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(12), pages 2235-2247, December.
    66. Madhusudan Karmakar & Sarveshwar Inani, 2019. "Information share and its predictability in the Indian stock market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(10), pages 1322-1343, October.
    67. Zou, Mi & Han, Lin & Yang, Zhini, 2024. "Price discovery of the Chinese crude oil options and futures markets," Finance Research Letters, Elsevier, vol. 60(C).
    68. Dan Zhang & Arash Farnoosh & Frédéric Lantz, 2022. "Does something change in the oil market with the COVID-19 crisis?," International Economics, CEPII research center, issue 169, pages 252-268.
    69. Cepoi, Cosmin-Octavian & Anghel, Dan-Gabriel & Pop, Ionuţ Daniel, 2021. "Asymmetries and flight-to-safety effects in the price discovery process of cross-listed stocks," Economic Modelling, Elsevier, vol. 98(C), pages 302-318.
    70. Vinay Patel, 2015. "Price Discovery in US and Australian Stock and Options Markets," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 6-2015, January-A.
    71. Gau, Yin-Feng & Wu, Zhen-Xing, 2017. "Macroeconomic announcements and price discovery in the foreign exchange market," Journal of International Money and Finance, Elsevier, vol. 79(C), pages 232-254.
    72. Janzen, Joseph P. & Adjemian, Michael K., 2016. "Estimating the Location of World Wheat Price Discovery," 2017 Allied Social Sciences Association (ASSA) Annual Meeting, January 6-8, 2017, Chicago, Illinois 250112, Agricultural and Applied Economics Association.
    73. Dungey, Mardi & McKenzie, Michael & Smith, L. Vanessa, 2009. "Empirical evidence on jumps in the term structure of the US Treasury Market," Journal of Empirical Finance, Elsevier, vol. 16(3), pages 430-445, June.
    74. Zhepeng Hu & Mindy Mallory & Teresa Serra & Philip Garcia, 2020. "Measuring price discovery between nearby and deferred contracts in storable and nonstorable commodity futures markets," Agricultural Economics, International Association of Agricultural Economists, vol. 51(6), pages 825-840, November.
    75. Donald Lien & Zijun Wang, 2019. "Quantile information share," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(1), pages 38-55, January.
    76. Otsubo, Yoichi, 2014. "International cross-listing and price discovery under trading concentration in the domestic market: Evidence from Japanese shares," Journal of Empirical Finance, Elsevier, vol. 25(C), pages 36-51.
    77. Frijns, Bart & Indriawan, Ivan & Tourani-Rad, Alireza, 2015. "Macroeconomic news announcements and price discovery: Evidence from Canadian–U.S. cross-listed firms," Journal of Empirical Finance, Elsevier, vol. 32(C), pages 35-48.
    78. Dungey, Mardi & Hvozdyk, Lyudmyla, 2012. "Cojumping: Evidence from the US Treasury bond and futures markets," Journal of Banking & Finance, Elsevier, vol. 36(5), pages 1563-1575.
    79. Chang, Ya-Kai & Chen, Yu-Lun & Chou, Robin K. & Gau, Yin-Feng, 2013. "The effectiveness of position limits: Evidence from the foreign exchange futures markets," Journal of Banking & Finance, Elsevier, vol. 37(11), pages 4501-4509.
    80. Xu, Feng & Wan, Difang, 2015. "The impacts of institutional and individual investors on the price discovery in stock index futures market: Evidence from China," Finance Research Letters, Elsevier, vol. 15(C), pages 221-231.
    81. Seth Kopchak, 2014. "The absorption effect of US Treasury auctions," Review of Quantitative Finance and Accounting, Springer, vol. 43(1), pages 21-44, July.
    82. Lien, Donald, 2022. "Comparisons of Alternative Information Share Measures," Finance Research Letters, Elsevier, vol. 50(C).

  13. Bruce Mizrach & Christopher J. Neely, 2007. "The microstructure of the U.S. treasury market," Working Papers 2007-052, Federal Reserve Bank of St. Louis.

    Cited by:

    1. Pasquariello, Paolo & Vega, Clara, 2009. "The on-the-run liquidity phenomenon," Journal of Financial Economics, Elsevier, vol. 92(1), pages 1-24, April.
    2. George Jiang & Ingrid Lo & Adrien Verdelhan, 2008. "Information Shocks, Jumps, and Price Discovery -- Evidence from the U.S. Treasury Market," Staff Working Papers 08-22, Bank of Canada.
    3. Chatrath, Arjun & Christie-David, Rohan A. & Lee, Kiseop & Moore, William T., 2009. "Competitive inventory management in Treasury markets," Journal of Banking & Finance, Elsevier, vol. 33(5), pages 800-809, May.
    4. Robert Engle & Michael J. Fleming & Eric Ghysels & Giang Nguyen, 2012. "Liquidity and volatility in the U.S. treasury market," Staff Reports 590, Federal Reserve Bank of New York.
    5. de Roure, Calebe & Mönch, Emanuel & Pelizzon, Loriana & Schneider, Michael, 2021. "OTC discount," SAFE Working Paper Series 298, Leibniz Institute for Financial Research SAFE, revised 2021.
      • Calebe de Roure & Emanuel Moench & Loriana Pelizzon & Michael Schneider, 2026. "OTC Discount," Management Science, INFORMS, vol. 72(6), pages 4633-4651, June.
      • de Roure, Calebe & Mönch, Emanuel & Pelizzon, Loriana & Schneider, Michael, 2019. "OTC discount," Discussion Papers 42/2019, Deutsche Bundesbank.
    6. Havran, Dániel & Erb, Tamás, 2015. "Mit veszítünk a piaci súrlódásokkal?. A pénzügyi piacok mikrostruktúrája [Trading mechanisms and market frictions. Microstructure of the financial markets]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(3), pages 229-262.
    7. George Jiang & Ingrid Lo & Giorgio Valente, 2014. "High-Frequency Trading around Macroeconomic News Announcements: Evidence from the U.S. Treasury Market," Staff Working Papers 14-56, Bank of Canada.
    8. S. Rubun Dey & Christopher J. Neely, 2010. "A survey of announcement effects on foreign exchange returns," Review, Federal Reserve Bank of St. Louis, vol. 92(Sep), pages 417-464.
    9. Seth Kopchak, 2014. "The absorption effect of US Treasury auctions," Review of Quantitative Finance and Accounting, Springer, vol. 43(1), pages 21-44, July.
    10. Ajit Dayanandan & Jai Chander & N. R. V. V. M. K. Rajendra Kumar, 2023. "Size and liquidity of government securities in India," Indian Economic Review, Springer, vol. 58(1), pages 71-90, June.

  14. Bruce Mizrach, 2006. "Does SIZE Matter? Liquidity Provision by the Nasdaq Anonymous Trading Facility," Departmental Working Papers 200602, Rutgers University, Department of Economics.

    Cited by:

    1. Bruce Mizrach & Christopher J. Neely, 2006. "The transition to electronic communications networks in the secondary treasury market," Review, Federal Reserve Bank of St. Louis, vol. 88(Nov), pages 527-542.
    2. Bruce Mizrach & Christopher J. Neely, 2007. "The microstructure of the U.S. treasury market," Working Papers 2007-052, Federal Reserve Bank of St. Louis.
    3. Bruce Mizrach, 2008. "The next tick on Nasdaq," Quantitative Finance, Taylor & Francis Journals, vol. 8(1), pages 19-40.

  15. Bruce Mizrach & Chris Neely, 2006. "The Transition to Electronic Trading in the Secondary Treasury Market," Departmental Working Papers 200603, Rutgers University, Department of Economics.

    Cited by:

    1. Wang, Yun-Yi & Chang, Chiung-Chiao & Lee, Wan-Chen, 2013. "Price discovery between regular and mini index futures in the Taiwan Futures Exchange," International Review of Economics & Finance, Elsevier, vol. 27(C), pages 224-237.
    2. Díaz, Antonio & Escribano, Ana, 2017. "Liquidity measures throughout the lifetime of the U.S. Treasury bond," Journal of Financial Markets, Elsevier, vol. 33(C), pages 42-74.
    3. Mizrach, Bruce & Neely, Christopher J., 2008. "Information shares in the US Treasury market," Journal of Banking & Finance, Elsevier, vol. 32(7), pages 1221-1233, July.
    4. Alain P. Chaboud & Benjamin Chiquoine & Erik Hjalmarsson & Mico Loretan, 2007. "Frequency of observation and the estimation of integrated volatility in deep and liquid financial markets," International Finance Discussion Papers 905, Board of Governors of the Federal Reserve System (U.S.).

  16. Bruce Mizrach & Susan Weerts, 2006. "Highs and Lows: A Behavioral and Technical Analysis," Departmental Working Papers 200610, Rutgers University, Department of Economics.

    Cited by:

    1. Devdeepta Bose & Henning Cordes & Sven Nolte & Judith Christiane Schneider & Colin Farrell Camerer, 2022. "Decision Weights for Experimental Asset Prices Based on Visual Salience," The Review of Financial Studies, Society for Financial Studies, vol. 35(11), pages 5094-5126.
    2. Abdin, Syed Zain ul & Farooq, Omer & Sultana, Naheed & Farooq, Mariam, 2017. "The impact of heuristics on investment decision and performance: Exploring multiple mediation mechanisms," Research in International Business and Finance, Elsevier, vol. 42(C), pages 674-688.
    3. Ni, Yensen & Liao, Yi-Ching & Huang, Paoyu, 2015. "MA trading rules, herding behaviors, and stock market overreaction," International Review of Economics & Finance, Elsevier, vol. 39(C), pages 253-265.
    4. Zain UI Abideen & Zeeshan Ahmed & Huan Qiu & Yiwei Zhao, 2023. "Do Behavioral Biases Affect Investors’ Investment Decision Making? Evidence from the Pakistani Equity Market," Risks, MDPI, vol. 11(6), pages 1-32, June.

  17. Bruce Mizrach, 2006. "Nonlinear Time Series Analysis," Departmental Working Papers 200604, Rutgers University, Department of Economics.

    Cited by:

    1. Hiroshi Ishijima & Masaki Uchida, 2011. "The Regime Switching Portfolios," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 18(2), pages 167-189, May.
    2. Ihle, Rico & von Cramon-Taubadel, Stephan, 2008. "A Comparison of Threshold Cointegration and Markov-Switching Vector Error Correction Models in Price Transmission Analysis," 2008 Conference, April 21-22, 2008, St. Louis, Missouri 37603, NCCC-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.

  18. Haas, Markus & Mittnik, Stefan & Mizrach, Bruce, 2005. "Assessing central bank credibility during the EMS crises: Comparing option and spot market-based forecasts," CFS Working Paper Series 2005/09, Center for Financial Studies (CFS).

    Cited by:

    1. Chen Yu-Fu & Funke Michael & Glanemann Nicole, 2013. "Off-the-record target zones: theory with an application to Hong Kong’s currency board," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 17(4), pages 373-393, September.
    2. Li, Liuling & Mizrach, Bruce, 2010. "Tail return analysis of Bear Stearns' credit default swaps," Economic Modelling, Elsevier, vol. 27(6), pages 1529-1536, November.
    3. Azamat Abdymomunov & Zheng Duan & Jeffrey R. Gerlach, 2026. "Market Shock Scenario Design: An Option-Based Approach," Journal of Financial Services Research, Springer;Western Finance Association, vol. 69(3), pages 249-284, June.
    4. Haas, Markus & Mittnik, Stefan & Paolella, Marc S., 2008. "Asymmetric multivariate normal mixture GARCH," CFS Working Paper Series 2008/07, Center for Financial Studies (CFS).
    5. Christoffersen, Peter & Jacobs, Kris & Chang, Bo Young, 2013. "Forecasting with Option-Implied Information," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 581-656, Elsevier.
    6. Michael Funke & Julius Loermann & Richhild Moessner, 2017. "The discontinuation of the EUR/CHF minimum exchange rate in January 2015: was it expected?," BIS Working Papers 652, Bank for International Settlements.
    7. David Neto, 2025. "Is uncertainty in the European stock market resilient to geopolitical risk? A non-homogeneous regime-switching analysis," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 52(4), pages 651-666, November.
    8. Haas, Markus & Mittnik, Stefan, 2008. "Multivariate regimeswitching GARCH with an application to international stock markets," CFS Working Paper Series 2008/08, Center for Financial Studies (CFS).
    9. Haas, Markus & Krause, Jochen & Paolella, Marc S. & Steude, Sven C., 2013. "Time-varying mixture GARCH models and asymmetric volatility," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 602-623.
    10. Bruce Mizrach, 2007. "Recovering Probabilistic Information From Options Prices and the Underlying," Departmental Working Papers 200702, Rutgers University, Department of Economics.
    11. Bruce Mizrach, 2006. "The Enron Bankruptcy: When did the options market in Enron lose it’s smirk?," Review of Quantitative Finance and Accounting, Springer, vol. 27(4), pages 365-382, December.

  19. Bruce Mizrach & Filippo Occhino, 2004. "The Impact of Monetary Policy on Bond Returns Volatility: A Segmented Markets Approach," Departmental Working Papers 200402, Rutgers University, Department of Economics.

    Cited by:

    1. Chinn, Menzie D., 2006. "The (partial) rehabilitation of interest rate parity in the floating rate era: Longer horizons, alternative expectations, and emerging markets," Journal of International Money and Finance, Elsevier, vol. 25(1), pages 7-21, February.
    2. Frederik Lundtofte, 2013. "The quality of public information and the term structure of interest rates," Review of Quantitative Finance and Accounting, Springer, vol. 40(4), pages 715-740, May.
    3. Doojav, Gan-Ochir & Damdinsuren, Batnyam & Baasansuren, Lkhagvajav, 2007. "Monetary policy and bond market development: A case of Mongolia," MPRA Paper 72193, University Library of Munich, Germany, revised May 2007.

  20. Oleg Korenok & Bruce Mizrach & Stan Radchenko, 2004. "The Microeconomics of Macroeconomic Asymmetries: Sectoral Driving Forces and Firm Level Characteristics," Departmental Working Papers 200405, Rutgers University, Department of Economics.

    Cited by:

    1. Marianna Brunetti & Costanza Torricelli, 2009. "Economic activity and recession probabilities: information content and predictive power of the term spread in Italy," Applied Economics, Taylor & Francis Journals, vol. 41(18), pages 2309-2322.

  21. David Goldbaum & Bruce Mizrach, 2004. "Estimating the Intensity of Choice in a Dynamic Mutual Fund Allocation Decision," Departmental Working Papers 200414, Rutgers University, Department of Economics.

    Cited by:

    1. Palczewski, Jan & Schenk-Hoppé, Klaus Reiner & Wang, Tongya, 2016. "Itchy feet vs cool heads: Flow of funds in an agent-based financial market," Journal of Economic Dynamics and Control, Elsevier, vol. 63(C), pages 53-68.
    2. Anufriev, M. & Bao, T. & Tuinstra, J., 2015. "Microfoundations for Switching Behavior in Heterogeneous Agent Models: An Experiment," CeNDEF Working Papers 15-09, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    3. Jang, Tae-Seok & Sacht, Stephen, 2012. "Identification of animal spirits in a bounded rationality model: An application to the euro area," Kiel Working Papers 1798, Kiel Institute for the World Economy.
    4. Xue-Zhong He & Youwei Li, 2015. "The Adaptiveness in Stock Markets: Testing the Stylized Facts in the Dax 30," Research Paper Series 364, Quantitative Finance Research Centre, University of Technology, Sydney.
    5. Michael Wegener & Frank Westerhoff, 2012. "Evolutionary competition between prediction rules and the emergence of business cycles within Metzler’s inventory model," Journal of Evolutionary Economics, Springer, vol. 22(2), pages 251-273, April.
    6. Giorgio Fagiolo & Mattia Guerini & Francesco Lamperti & Alessio Moneta & Andrea Roventini, 2017. "Validation of Agent-Based Models in Economics and Finance," LEM Papers Series 2017/23, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    7. Goldbaum, David & Zwinkels, Remco C.J., 2014. "An empirical examination of heterogeneity and switching in foreign exchange markets," Journal of Economic Behavior & Organization, Elsevier, vol. 107(PB), pages 667-684.
    8. Jang, Tae-Seok & Sacht, Stephen, 2014. "Animal spirits and the business cycle: Empirical evidence from moment matching," Economics Working Papers 2014-06, Christian-Albrechts-University of Kiel, Department of Economics.
    9. Hommes, Cars, 2011. "The heterogeneous expectations hypothesis: Some evidence from the lab," Journal of Economic Dynamics and Control, Elsevier, vol. 35(1), pages 1-24, January.
    10. De Grauwe, Paul & Markiewicz, Agnieszka, 2013. "Learning to forecast the exchange rate: Two competing approaches," Journal of International Money and Finance, Elsevier, vol. 32(C), pages 42-76.
    11. Lux, Thomas, 2012. "Estimation of an agent-based model of investor sentiment formation in financial markets," Journal of Economic Dynamics and Control, Elsevier, vol. 36(8), pages 1284-1302.
    12. Blake LeBaron, 2011. "Active and Passive Learning in Agent-based Financial Markets," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 37(1), pages 35-43.
    13. Lines, Marji & Westerhoff, Frank, 2009. "Effects of inflation expectations on macroeconomic dynamics: Extrapolative versus regressive expectations," BERG Working Paper Series 68, Bamberg University, Bamberg Economic Research Group.
    14. Mahayni, Antje & Schoenmakers, John G.M., 2011. "Minimum return guarantees with fund switching rights—An optimal stopping problem," Journal of Economic Dynamics and Control, Elsevier, vol. 35(11), pages 1880-1897.
    15. Anufriev, M. & Tuinstra, J. & Bao, T., 2013. "Fund Choice Behavior and Estimation of Switching Models: An Experiment," CeNDEF Working Papers 13-04, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    16. Anufriev, Mikhail & Chernulich, Aleksei & Tuinstra, Jan, 2018. "A laboratory experiment on the heuristic switching model," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 21-42.
    17. Chiarella, Carl & He, Xue-Zhong & Huang, Weihong & Zheng, Huanhuan, 2012. "Estimating behavioural heterogeneity under regime switching," Journal of Economic Behavior & Organization, Elsevier, vol. 83(3), pages 446-460.
    18. Chernulich, Aleksei, 2021. "Modelling reference dependence for repeated choices: A horse race between models of normalisation," Journal of Economic Psychology, Elsevier, vol. 87(C).
    19. Zheng, Min & Liu, Ruipeng & Li, Youwei, 2018. "Long memory in financial markets: A heterogeneous agent model perspective," International Review of Financial Analysis, Elsevier, vol. 58(C), pages 38-51.

  22. Bruce Mizrach & Susan Weerts, 2004. "Experts Online: An Analysis of Trading Activity in a Public Internet Chat Room," Departmental Working Papers 200412, Rutgers University, Department of Economics.

    Cited by:

    1. Oehler, Andreas & Horn, Matthias & Wendt, Stefan, 2016. "Benefits from social trading? Empirical evidence for certificates on wikifolios," International Review of Financial Analysis, Elsevier, vol. 46(C), pages 202-210.
    2. Rawley Heimer & David Simon, 2015. "Facebook Finance: How Social Interaction Propagates Active Investing," Working Papers (Old Series) 1522, Federal Reserve Bank of Cleveland.
    3. David Goldbaum, 2009. "Follow the Leader: Steady State Analysis of a Dynamic Social Network," Working Paper Series 158, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    4. Antonios Siganos, 2010. "Can small investors exploit the momentum effect?," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 24(2), pages 171-192, June.
    5. Liu, Peipei & Xia, Xinping & Li, Antai, 2018. "Tweeting the financial market: Media effect in the era of Big Data," Pacific-Basin Finance Journal, Elsevier, vol. 51(C), pages 267-290.
    6. Jonathan E. Alevy & Michael K. Price, 2012. "Advice and Fictive Learning: The Pricing of Assets in the Laboratory," Working Papers 2012-07, University of Alaska Anchorage, Department of Economics.
    7. Abdin, Syed Zain ul & Farooq, Omer & Sultana, Naheed & Farooq, Mariam, 2017. "The impact of heuristics on investment decision and performance: Exploring multiple mediation mechanisms," Research in International Business and Finance, Elsevier, vol. 42(C), pages 674-688.
    8. David Goldbaum, 2008. "Follow the Leader: Simulations on a Dynamic Social Network," Working Paper Series 155, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    9. Jonathan E. Alevy & Michael K. Price, 2014. "Advice in the Marketplace: A Laboratory Study," Experimental Economics Center Working Paper Series 2014-03, Experimental Economics Center, Andrew Young School of Policy Studies, Georgia State University.
    10. Blanchard, michel & Bernard, philippe, 2011. "The performance of amateur traders on a public internet site: a case of a stock-exchange contest," MPRA Paper 34304, University Library of Munich, Germany.
    11. Zhang, Yongjie & Song, Weixin & Shen, Dehua & Zhang, Wei, 2016. "Market reaction to internet news: Information diffusion and price pressure," Economic Modelling, Elsevier, vol. 56(C), pages 43-49.
    12. Yingying Xu & Zhixin Liu & Jichang Zhao & Chiwei Su, 2017. "Weibo sentiments and stock return: A time-frequency view," PLOS ONE, Public Library of Science, vol. 12(7), pages 1-21, July.
    13. Alexandros Karakostas & Giles Morgan & Daniel John Zizzo, 2023. "Socially interdependent risk taking," Theory and Decision, Springer, vol. 95(3), pages 365-378, October.
    14. Chiao-Yi Chang, 2013. "Daily momentum profits with firm characteristics and investors’ optimism in the Taiwan market," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 37(2), pages 253-273, April.
    15. Kaleem Ullah Malik & Muhammad Shaukat Malik & Muhammad Irfan & Hussain Mehdi, 2022. "The Role of Heuristic Factors in Investment Performance: Exploring the Market Anomalies in a Volatile Environment," Apuntes del Cenes, Universidad Pedagógica y Tecnológica de Colombia, vol. 41(73), pages 63-84.
    16. Timm O. Sprenger & Andranik Tumasjan & Philipp G. Sandner & Isabell M. Welpe, 2014. "Tweets and Trades: the Information Content of Stock Microblogs," European Financial Management, European Financial Management Association, vol. 20(5), pages 926-957, November.

  23. Bruce Mizrach, 2004. "A Video Interview of Buz Brock," Departmental Working Papers 200417, Rutgers University, Department of Economics.

    Cited by:

    1. Huiming Zhu & Xianfang Su & Wanhai You & Yinghua Ren, 2017. "Asymmetric effects of oil price shocks on stock returns: evidence from a two-stage Markov regime-switching approach," Applied Economics, Taylor & Francis Journals, vol. 49(25), pages 2491-2507, May.

  24. Bruce Mizrach, 2003. "Analyst Recommendations and Nasdaq Market Making Activity," Departmental Working Papers 200307, Rutgers University, Department of Economics.

    Cited by:

    1. Jie Lu & Bruce Mizrach, 2007. "Is Talk Cheap Online: Strategic Interaction in A Stock Trading Chat Room," Departmental Working Papers 200701, Rutgers University, Department of Economics.
    2. Marina Balboa & J. Carlos Gómez‐Sala & Germán López‐Espinosa, 2009. "The Value of Adjusting the Bias in Recommendations: International Evidence," European Financial Management, European Financial Management Association, vol. 15(1), pages 208-230, January.

  25. Bruce Mizrach, 2002. "When Did The Smart Money in Enron Lose Its' Smirk?," Departmental Working Papers 200224, Rutgers University, Department of Economics.

    Cited by:

    1. Markus Haas & Stefan Mittnik & Bruce Mizrach, 2004. "Assessing Central Bank Credibility During the EMS Crises: Comparing Option and Spot Market-Based Forecasts," Departmental Working Papers 200424, Rutgers University, Department of Economics.

  26. Bruce Mizrach, 2002. "The Next Tick on Nasdaq: Does Level II Information Matter?," Departmental Working Papers 200202, Rutgers University, Department of Economics.

    Cited by:

    1. Bruce Mizrach, 2003. "Analyst Recommendations and Nasdaq Market Making Activity," Departmental Working Papers 200307, Rutgers University, Department of Economics.

  27. Bruce Mizrach & Yijie Zhang, 2000. "Should ECNs be SOES-able?," Departmental Working Papers 200010, Rutgers University, Department of Economics.

    Cited by:

    1. Bruce Mizrach, 2002. "The Next Tick on Nasdaq: Does Level II Information Matter?," Departmental Working Papers 200202, Rutgers University, Department of Economics.
    2. Bruce Mizrach, 2003. "Analyst Recommendations and Nasdaq Market Making Activity," Departmental Working Papers 200307, Rutgers University, Department of Economics.

  28. Bruce Mizrach & James Watkins, 1998. "A Markov Switching Cookbook," Departmental Working Papers 199817, Rutgers University, Department of Economics.

    Cited by:

    1. Nurgun Topalli & İbrahim Dogan, 2016. "The structure and sustainability of current account deficit: Turkish evidence from regime switching," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 25(4), pages 570-589, June.

  29. Bruce Mizrach, 1996. "Forecast Comparison in L2," Departmental Working Papers 199524, Rutgers University, Department of Economics.

    Cited by:

    1. Randall E. Parker & Philip Rothman, "undated". "The Current Depth of Recession and Unemployment Rate Forecasts," Working Papers 9729, East Carolina University, Department of Economics.
    2. Norman R. Swanson & Halbert White, 1995. "A Model Selection Approach to Real-Time Macroeconomic Forecasting Using Linear Models and Artificial Neural Networks," Macroeconomics 9503004, University Library of Munich, Germany.
    3. Lisi, Francesco & Medio, Alfredo, 1997. "Is a random walk the best exchange rate predictor?," International Journal of Forecasting, Elsevier, vol. 13(2), pages 255-267, June.
    4. Swanson, Norman R. & White, Halbert, 1997. "Forecasting economic time series using flexible versus fixed specification and linear versus nonlinear econometric models," International Journal of Forecasting, Elsevier, vol. 13(4), pages 439-461, December.
    5. Ahmad Baharumshah & Venus Liew, 2006. "Forecasting Performance of Exponential Smooth Transition Autoregressive Exchange Rate Models," Open Economies Review, Springer, vol. 17(2), pages 235-251, April.
    6. Chan, Tze-Haw & Lye, Chun Teck & Hooy, Chee-Wooi, 2010. "Forecasting Malaysian Exchange Rate: Do Artificial Neural Networks Work?," MPRA Paper 26326, University Library of Munich, Germany.
    7. Francis X. Diebold & Roberto S. Mariano, 1994. "Comparing Predictive Accuracy," NBER Technical Working Papers 0169, National Bureau of Economic Research, Inc.
    8. Alfonso Dufour & Robert F Engle, 2000. "The ACD Model: Predictability of the Time Between Concecutive Trades," ICMA Centre Discussion Papers in Finance icma-dp2000-05, Henley Business School, University of Reading.

  30. Bruce Mizrach, 1995. "A Simple Nonparametric Test for Independence," Departmental Working Papers 199523, Rutgers University, Department of Economics.

    Cited by:

    1. Fernandes, Marcelo, 2001. "Nonparametric entropy-based tests of independence between stochastic processes," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 413, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    2. CHIKHI, Mohamed, 2009. "Identification non paramétrique d’un processus non linéaire hétéroscédastique [Nonparametric identification of heteroscedastic nonlinear process]," MPRA Paper 82108, University Library of Munich, Germany, revised 2009.
    3. Chikhi, Mohamed & Terraza, Michel, 2002. "Un essai de prévision non paramétrique de l'action France Télécom [A nonparametric prediction test of the France Telecom stock proces]," MPRA Paper 77268, University Library of Munich, Germany, revised Dec 2003.
    4. Mohamed Chikhi & Anne Péguin-Feissolle & Michel Terraza, 2012. "SEMIFARMA-HYGARCH Modeling of Dow Jones Return Persistence," AMSE Working Papers 1214, Aix-Marseille School of Economics, France.
    5. Mizrach, Bruce, 1996. "Determining delay times for phase space reconstruction with application to the FF/DM exchange rate," Journal of Economic Behavior & Organization, Elsevier, vol. 30(3), pages 369-381, September.
    6. Mohamed Chikhi & Claude Diebolt, 2010. "Nonparametric analysis of financial time series by the Kernel methodology," Quality & Quantity: International Journal of Methodology, Springer, vol. 44(5), pages 865-880, August.
    7. Maurice Peat & Max Stevenson, 1994. "Asymmetry in the Business Cycle: Evidence from the Australian Labour Markets," Working Paper Series 37, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    8. Ishanu Chattopadhyay, 2014. "Causality Networks," Papers 1406.6651, arXiv.org.

  31. Michael D. Bordo & Bruce Mizrach & Anna J. Schwartz, 1995. "Real Versus Pseudo-International Systemic Risk: Some Lessons from History," NBER Working Papers 5371, National Bureau of Economic Research, Inc.

    Cited by:

    1. John Kambhu & Til Schuermann & Kevin J. Stiroh, 2007. "Hedge funds, financial intermediation, and systemic risk," Staff Reports 291, Federal Reserve Bank of New York.
    2. de Bandt, Olivier & Hartmann, Philipp, 2000. "Systemic Risk: A Survey," CEPR Discussion Papers 2634, Centre for Economic Policy Research.
    3. Claudio Dicembrino & Pasquale Lucio Scandizzo, 2012. "Can Portfolio Diversification increase Systemic Risk? Evidence from the U.S and European Mutual Funds Market," CEIS Research Paper 240, Tor Vergata University, CEIS, revised 11 Jul 2012.
    4. Battiston Stefano & Caldarelli Guido & D’Errico Marco & Gurciullo Stefano, 2016. "Leveraging the network: A stress-test framework based on DebtRank," Statistics & Risk Modeling, De Gruyter, vol. 33(3-4), pages 117-138, December.
    5. Benton E. Gup (ed.), 2010. "The Financial and Economic Crises," Books, Edward Elgar Publishing, number 13642.
    6. Michael Bordo, 2000. "Sound Money and Sound Financial Policy," Journal of Financial Services Research, Springer;Western Finance Association, vol. 18(2), pages 129-155, December.
    7. Bordo, Michael D. & Schwartz, Anna J., 2000. "Measuring real economic effects of bailouts: historical perspectives on how countries in financial distress have fared with and without bailouts," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 53(1), pages 81-167, December.
    8. Michael Bordo & Anna Schwartz, 1996. "Why clashes between internal and external stability goals end in currency crises, 1797–1994," Open Economies Review, Springer, vol. 7(1), pages 437-468, March.
    9. M. Sarcinelli, 1997. "The human factor and systemic risk: a memento," BNL Quarterly Review, Banca Nazionale del Lavoro, vol. 50(202), pages 253-269.
    10. Martin Mayer, 1999. "Risk Reduction in the New Financial Architecture: Realities, Fallacies, and Proposals," Macroeconomics 9905003, University Library of Munich, Germany.
    11. Yung Chul Park & Yunjong Wang, 2002. "What Kind of International Financial Architecture for an Integrated World Economy?," Asian Economic Papers, MIT Press, vol. 1(1), pages 91-128.
    12. George G. Kaufman, 1998. "Central banks, asset bubbles, and financial stability," Working Paper Series WP-98-12, Federal Reserve Bank of Chicago.
    13. M. Sarcinelli, 1997. "The human factor and systemic risk: a memento," Banca Nazionale del Lavoro Quarterly Review, Banca Nazionale del Lavoro, vol. 50(202), pages 253-269.
    14. Marcel Fratzscher, 1998. "Why are currency crises contagious? A comparison of the Latin American Crisis of 1994–1995 and the Asian Crisis of 1997–1998," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 134(4), pages 664-691, December.
    15. Tommaso Padoa-Schioppa, 2002. "Titoli e attività bancaria: ponti e mura," Moneta e Credito, Economia civile, vol. 55(220), pages 321-344.
    16. Tommaso Padoa-Schioppa, 2002. "Securities and banking: bridges and walls," Banca Nazionale del Lavoro Quarterly Review, Banca Nazionale del Lavoro, vol. 55(222), pages 241-261.
    17. Begüm Yurteri Kösedağlı & A. Özlem Önder, 2021. "Determinants of financial stress in emerging market economies: Are spatial effects important?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 4653-4669, July.
    18. Alicia García Herrero & Pedro del Río, 2003. "Financial stability and the design of monetary policy," Working Papers 0315, Banco de España.
    19. Navin Beekarry, 2010. "Hedge Funds and Offshore Financial Centers: New Challenges for the Regulation of Systemic Risks," Chapters, in: Benton E. Gup (ed.), The Financial and Economic Crises, chapter 11, Edward Elgar Publishing.
    20. Angelos Kanas & Panagiotis D. Zervopoulos, 2020. "Systemic risk-shifting in U.S. commercial banking," Review of Quantitative Finance and Accounting, Springer, vol. 54(2), pages 517-539, February.
    21. Martin Mayer, 1999. "Risk Reduction in the New Financial Architecture: Realities, Fallacies, and Proposals," Economics Working Paper Archive wp_268, Levy Economics Institute.
    22. Martin Mayer, "undated". "Risk Reduction in the New Financial Architecture: Realities and Fallacies in International Financial Reform," Economics Public Policy Brief Archive ppb_56, Levy Economics Institute.
    23. Tobal, Martin & Menna, Lorenzo, 2020. "Monetary policy and financial stability in emerging market economies," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 1(1).
    24. Knight, Malcolm, 1998. "Developing Countries and the Globalization of Financial Markets," World Development, Elsevier, vol. 26(7), pages 1185-1200, July.
    25. Yung Chul PARK & Yunjong WANG, 2001. "Reform Of The International Financial System And Institutions In Light Of The Asian Financial Crisis," G-24 Discussion Papers 12, United Nations Conference on Trade and Development.
    26. Jose Antonio R. Tan, 1998. "Contagion effects during the Asian financial crisis: stock price data," Pacific Basin Working Paper Series 98-06, Federal Reserve Bank of San Francisco.
    27. Mr. Malcolm D. Knight, 1998. "Developing Countries and the Globalization of Financial Markets," IMF Working Papers 1998/105, International Monetary Fund.
    28. Tommaso Padoa-Schioppa, 2002. "Securities and banking: bridges and walls," BNL Quarterly Review, Banca Nazionale del Lavoro, vol. 55(222), pages 241-261.
    29. Alicia García Herrero & Pedro del Río López, 2003. "Implications of the design of monetary policy for financial stability," Macroeconomics 0304008, University Library of Munich, Germany.

  32. Bruce Mizrach, 1993. "Target zone models with stochastic realignments: an econometric evaluation," Research Paper 9302, Federal Reserve Bank of New York.

    Cited by:

    1. Forbes, C.S. & Kofman, P., 2000. "Bayesian Soft Target Zones," Monash Econometrics and Business Statistics Working Papers 4/00, Monash University, Department of Econometrics and Business Statistics.
    2. Syed Adnan Haider Ali Shah Bukhari & Muhammad Shahbaz Akmal & Mohammad Sabihuddin Butt, 2006. "Impact of Exchange Market Forces on Pak-Rupee Exchange Rates during Globalization Period: An Empirical Analysis," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 11(1), pages 121-139, Jan-Jun.
    3. M. Isabel Campos & M. Araceli Rodríguez, 2000. "Crises and Credibility in a Target Zone: A Logit from a Markov-Switching Model," Working Papers 00-05, Asociación Española de Economía y Finanzas Internacionales.
    4. Paul Hallwood, C. & MacDonald, Ronald & Marsh, Ian W., 2000. "Realignment expectations and the US dollar, 1890-1897: Was there a 'Peso problem'?," Journal of Monetary Economics, Elsevier, vol. 46(3), pages 605-620, December.
    5. Mali J. Edison & Linda S. Kole, 1995. "European monetary arrangements: Implications for the dollar, exchange rate variability and credibility," European Financial Management, European Financial Management Association, vol. 1(1), pages 61-86, March.
    6. M. Araceli Rodríguez López, "undated". "Variables fundamentales o ataques "Self-fulfilling"? Una explicación a las crisis de credibilidad de la peseta espanola," Studies on the Spanish Economy 90, FEDEA.
    7. Catherine S. Forbes & Paul Kofman, 2000. "Bayesian Target Zones," Econometric Society World Congress 2000 Contributed Papers 0575, Econometric Society.
    8. Dean Corbae & Christopher J. Neely & Paul A. Weller, 1998. "Endogenous realignments and the sustainability of a target," Working Papers 1994-009, Federal Reserve Bank of St. Louis.
    9. M. Isabel Campos & Zenón Jiménez-Ridruejo, "undated". "Were the Peseta Exchange Rate Crises Forecastable During Target Zone Period?," Working Papers on International Economics and Finance 00-07, FEDEA.
    10. Mizrach, Bruce, 1996. "Determining delay times for phase space reconstruction with application to the FF/DM exchange rate," Journal of Economic Behavior & Organization, Elsevier, vol. 30(3), pages 369-381, September.
    11. Markus Haas & Stefan Mittnik & Bruce Mizrach, 2004. "Assessing Central Bank Credibility During the EMS Crises: Comparing Option and Spot Market-Based Forecasts," Departmental Working Papers 200424, Rutgers University, Department of Economics.
    12. Jean-Sébastien Pentecôte & Thierry Roncalli, 1996. "Retour à la moyenne dans les cours du change du mécanisme de change européen : 1987-1995," Économie et Prévision, Programme National Persée, vol. 123(2), pages 189-205.
    13. Christopher J. Neely, 1994. "Realignments of target zone exchange systems: what do we know?," Working Papers 1994-020, Federal Reserve Bank of St. Louis.
    14. Paul Hallwood & Ronald MacDonald & Ian W. Marsh, 2000. "An Assessment of the Causes of the Abandonment of the Gold Standard by the U.S. in 1933," Southern Economic Journal, John Wiley & Sons, vol. 67(2), pages 448-459, October.
    15. Peter Carr & Zura Kakushadze, 2015. "FX Options in Target Zone," Papers 1512.01527, arXiv.org, revised Jul 2016.
    16. Juan Ayuso & Maria Perez-Jurado, 1997. "Devaluations and depreciation expectations in the EMS," Applied Economics, Taylor & Francis Journals, vol. 29(4), pages 471-484.
    17. Bruce Mizrach, 2007. "Recovering Probabilistic Information From Options Prices and the Underlying," Departmental Working Papers 200702, Rutgers University, Department of Economics.
    18. Darvas, Zsolt, 1999. "Az árfolyamsávok empirikus modelljei és a devizaárfolyam sávon belüli előrejelezhetetlensége [Empirical models of exchange rate target zones]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(6), pages 507-529.
    19. Campos, M. Isabel & Herrera, Julio & Jimenez-Ridruejo, Zenon, 1999. "Censured Exchange Rates in a Discrete Time Target Zones Model: The Spanish Peseta/Deutsche Mark Case," ERSA conference papers ersa99pa183, European Regional Science Association.
    20. Hallwood, C. Paul & Marsh, Ian W., 2004. "Exchange market pressure on the pound-dollar exchange rate: 1925-1931," The North American Journal of Economics and Finance, Elsevier, vol. 15(2), pages 249-264, August.
    21. Arturo Jos� Galindo, 1998. "Estimating Credibility In Colombia'S Exchange Rate Target Zone," Borradores de Economia 2604, Banco de la Republica.
    22. Simón Sosvilla-Rivero & Francisco Pérez-Bermejo, 2007. "Political and institutional factors in regime change in the ERM: An application of duration analysis," Working Papers 07-05, Asociación Española de Economía y Finanzas Internacionales.
    23. Bruce Mizrach, 1996. "Mean Reversion in EMS Exchange Rates," Departmental Working Papers 199525, Rutgers University, Department of Economics.
    24. Benoît Cœuré & Antoine Magnier, 1996. "Crédibilité et fondamentaux macro-économiques au sein du SME : un examen empirique," Économie et Prévision, Programme National Persée, vol. 123(2), pages 113-146.
    25. António Portugal Duarte & João Sousa Andrade & Adelaide Duarte, 2010. "Exchange Rate Target Zones: A Survey of the Literature," GEMF Working Papers 2010-14, GEMF, Faculty of Economics, University of Coimbra.
    26. M. Isabel Campos & Zenón Jiménez-Ridruejo, 2000. "Were The Peseta Exchange Rate Crises Forecastable During Target Zone Period?," Working Papers 00-07, Asociación Española de Economía y Finanzas Internacionales.
    27. Tronzano, Marco & Psaradakis, Zacharias & Sola, Martin, 2003. "Target zone credibility and economic fundamentals," Economic Modelling, Elsevier, vol. 20(4), pages 791-807, July.
    28. M. Isabel Campos & Zenon Jimenez-Ridruejo, 2003. "Were the peseta exchange rate crises forecastable during target zone period?," Applied Economics, Taylor & Francis Journals, vol. 35(9), pages 1087-1099.

  33. Michael Klein & Bruce Mizrach & Robert G. Murphy, 1988. "Managing the Dollar: Has the Plaza Agreement Mattered?," Boston College Working Papers in Economics 185, Boston College Department of Economics.

    Cited by:

    1. Gupta, Kartick & Banerjee, Rajabrata, 2019. "Does OPEC news sentiment influence stock returns of energy firms in the United States?," Energy Economics, Elsevier, vol. 77(C), pages 34-45.
    2. Linda S. Goldberg & Michael W. Klein, 2005. "Establishing Credibility: Evolving Perceptions of the European Central Bank," The Institute for International Integration Studies Discussion Paper Series iiisdp105, IIIS.
    3. Evans, Martin D.D. & Lyons, Richard K., 2008. "How is macro news transmitted to exchange rates?," Journal of Financial Economics, Elsevier, vol. 88(1), pages 26-50, April.
    4. Savaser, Tanseli, 2011. "Exchange rate response to macronews: Through the lens of microstructure," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 21(1), pages 107-126, February.
    5. Fanelli, Luca & Paruolo, Paolo, 2007. "Speed of Adjustment in Cointegrated Systems," MPRA Paper 9174, University Library of Munich, Germany.
    6. Tanner, Glenn, 1997. "A note on economic news and intraday exchange rates," Journal of Banking & Finance, Elsevier, vol. 21(4), pages 573-585, April.
    7. Martin D.D. Evans & Richard K. Lyons, 2005. "Do Currency Markets Absorb News Quickly?," NBER Working Papers 11041, National Bureau of Economic Research, Inc.
    8. Martin Evans and Richard Lyons, 2007. "How Is Macro News Transmitted to Exchange Rates?," Working Papers gueconwpa~07-07-10, Georgetown University, Department of Economics.
    9. Martin D. D. Evans(Georgetown University and NBER) and Richard K. Lyons(U.C. Berkeley and NBER, Haas School of Business), 2005. "How is Macro News Transmitted to Exchange Rates? (December 2003)," Working Papers gueconwpa~05-05-05, Georgetown University, Department of Economics.
    10. Tanseli Savaser, 2007. "Exchange Rate Response to Macro News: Through the Lens of Microstructure," Department of Economics Working Papers 2007-02, Department of Economics, Williams College.
    11. Andrea Fracasso & Stefano Schiavo, 2009. "Trade-imbalances networks and exchange rate adjustments: the paradox of a new Plaza. The XIVth Spring Meeting of Young Economists (SMYE-2009), Istanbul, April 2009," Sciences Po Economics Publications (main) hal-01053278, HAL.
    12. Rafael R. Rebitzky, 2010. "The Influence Of Fundamentals On Exchange Rates: Findings From Analyses Of News Effects," Journal of Economic Surveys, Wiley Blackwell, vol. 24(4), pages 680-704, September.
    13. Chatrath, Arjun & Miao, Hong & Ramchander, Sanjay & Villupuram, Sriram, 2014. "Currency jumps, cojumps and the role of macro news," Journal of International Money and Finance, Elsevier, vol. 40(C), pages 42-62.
    14. Puffer, Marlene K., 1995. "Measurement of the unexpected US trade deficit," Journal of International Money and Finance, Elsevier, vol. 14(2), pages 247-273, April.
    15. Goldberg, Michael D., 1995. "Symmetry restrictions and the semblance of neutrality in exchange rate models," Journal of Macroeconomics, Elsevier, vol. 17(4), pages 579-599.
    16. Almekinders, G.J. & Eijffinger, S.C.W., 1994. "Daily Bundesbank and federal reserve interventions : Are they a reaction to changes in the level and volatility of the DM/$-rate?," Other publications TiSEM 3e0ae3fa-af29-4757-aecb-a, Tilburg University, School of Economics and Management.
    17. Kevin Evans & Alan Speight, 2011. "Intraday euro exchange rates and international macroeconomic announcements," The European Journal of Finance, Taylor & Francis Journals, vol. 17(2), pages 83-110.
    18. Ledenyov, Dimitri O. & Ledenyov, Viktor O., 2015. "Wave function method to forecast foreign currencies exchange rates at ultra high frequency electronic trading in foreign currencies exchange markets," MPRA Paper 67470, University Library of Munich, Germany.
    19. Pasquale Della Corte & Aleksejs Krecetovs, 2024. "Current Account Uncertainty and Currency Premia," Management Science, INFORMS, vol. 70(9), pages 5795-5815, September.
    20. Fratzscher, Marcel, 2009. "How successful is the G7 in managing exchange rates?," Journal of International Economics, Elsevier, vol. 79(1), pages 78-88, September.
    21. S. Rubun Dey & Christopher J. Neely, 2010. "A survey of announcement effects on foreign exchange returns," Review, Federal Reserve Bank of St. Louis, vol. 92(Sep), pages 417-464.
    22. Fracasso, Andrea & Schiavo, Stefano, 2009. "Global imbalances, exchange rates adjustment and the crisis: Implications from network analysis," Journal of Policy Modeling, Elsevier, vol. 31(5), pages 601-619, September.
    23. Walid Ben Omrane & Khaled Guesmi & Qi Qianru & Samir Saadi, 2023. "The high-frequency impact of macroeconomic news on jumps and co-jumps in the cryptocurrency markets," Annals of Operations Research, Springer, vol. 330(1), pages 177-209, November.

Articles

  1. Elie Kapengut & Bruce Mizrach, 2023. "An Event Study of the Ethereum Transition to Proof-of-Stake," Commodities, MDPI, vol. 2(2), pages 1-15, March.
    See citations under working paper version above.
  2. Saketh Aleti & Bruce Mizrach, 2021. "Bitcoin spot and futures market microstructure," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(2), pages 194-225, February.

    Cited by:

    1. Augustin, Patrick & Rubtsov, Alexey & Shin, Donghwa, 2022. "The impact of derivatives on spot markets: Evidence from the introduction of bitcoin futures contracts," LawFin Working Paper Series 41, Goethe University, Center for Advanced Studies on the Foundations of Law and Finance (LawFin).
    2. Pati, Pratap Chandra, 2022. "Informativeness of CME Micro Bitcoin Futures in Pricing of Bitcoin: Intraday Evidence," Finance Research Letters, Elsevier, vol. 49(C).
    3. Daeyun Kang & Doojin Ryu & Robert I. Webb, 2025. "Bitcoin as a financial asset: a survey," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 11(1), pages 1-28, December.
    4. Marcin Wk{a}torek & Marcin Kr'olczyk & Jaros{l}aw Kwapie'n & Tomasz Stanisz & Stanis{l}aw Dro.zd.z, 2024. "Approaching multifractal complexity in decentralized cryptocurrency trading," Papers 2411.05951, arXiv.org.
    5. Shimeng Shi, 2022. "Bitcoin futures risk premia," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(12), pages 2190-2217, December.
    6. Almeida, José & Gonçalves, Tiago Cruz, 2023. "A systematic literature review of investor behavior in the cryptocurrency markets," Journal of Behavioral and Experimental Finance, Elsevier, vol. 37(C).
    7. V.K., Anand Krishnan & Chalissery, Meera Davi & Thomas, Sony, 2024. "A bibliometric review of Market Microstructure literature: Current status, development, and future directions," Finance Research Letters, Elsevier, vol. 69(PA).
    8. Apostolakis, George N., 2024. "Bitcoin price volatility transmission between spot and futures markets," International Review of Financial Analysis, Elsevier, vol. 94(C).
    9. Patrick Augustin & Alexey Rubtsov & Donghwa Shin, 2023. "The Impact of Derivatives on Spot Markets: Evidence from the Introduction of Bitcoin Futures Contracts," Management Science, INFORMS, vol. 69(11), pages 6752-6776, November.
    10. Riccardo De Blasis & Alexander Webb, 2022. "Arbitrage, contract design, and market structure in Bitcoin futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(3), pages 492-524, March.
    11. Azhar Mohamad, 2025. "Do Bitcoin ETFs Lead Price Discovery Following their Introduction in the Bitcoin Market?," Computational Economics, Springer;Society for Computational Economics, vol. 66(1), pages 947-969, July.
    12. Elie Bouri & Ladislav Kristoufek & Tanveer Ahmad & Syed Jawad Hussain Shahzad, 2024. "Microstructure noise and idiosyncratic volatility anomalies in cryptocurrencies," Annals of Operations Research, Springer, vol. 334(1), pages 547-573, March.
    13. Bruce Mizrach, 2022. "Stablecoins: Survivorship, Transactions Costs and Exchange Microstructure," Papers 2201.01392, arXiv.org, revised Feb 2023.
    14. Shimeng Shi & Jia Zhai & Yingying Wu, 2024. "Informational inefficiency on bitcoin futures," The European Journal of Finance, Taylor & Francis Journals, vol. 30(6), pages 642-667, April.
    15. Christian Kreuzer & Christian Sparrer & Gregor Dorfleitner, 2026. "Beyond pure hype: news sentiment and its role in the BTC and ETH futures market," Review of Derivatives Research, Springer, vol. 29(1), pages 1-36, December.

  3. Bruce Mizrach & Christopher J. Neely, 2020. "Supporting Small Borrowers: ABS Markets and the TALF," Economic Synopses, Federal Reserve Bank of St. Louis, issue 20, April.

    Cited by:

    1. Linus Wilson, 2022. "Toxic Asset Subsidies and the Early Redemption of TALF Loans," IJFS, MDPI, vol. 10(2), pages 1-20, March.

  4. Bo Yu & Bruce Mizrach & Norman R. Swanson, 2020. "New Evidence of the Marginal Predictive Content of Small and Large Jumps in the Cross-Section," Econometrics, MDPI, vol. 8(2), pages 1-52, May.

    Cited by:

    1. Bo Yu & Dayong Zhang & Qiang Ji, 2025. "Forecasting portfolio variance: a new decomposition approach," Annals of Operations Research, Springer, vol. 348(1), pages 543-578, May.
    2. Cui, Xin & Sensoy, Ahmet & Nguyen, Duc Khuong & Yao, Shouyu & Wu, Yiyao, 2022. "Positive information shocks, investor behavior and stock price crash risk," Journal of Economic Behavior & Organization, Elsevier, vol. 197(C), pages 493-518.

  5. Bruce Mizrach & Christopher J. Neely, 2020. "Federal Reserve System International Facilities," Economic Synopses, Federal Reserve Bank of St. Louis, issue 29, May.

    Cited by:

    1. Richard H. Clarida & Burcu Duygan-Bump & Chiara Scotti, 2021. "The COVID-19 Crisis and the Federal Reserve's Policy Response," Finance and Economics Discussion Series 2021-035, Board of Governors of the Federal Reserve System (U.S.).

  6. Bruce Mizrach & Christopher J. Neely, 2020. "Secondary Market Corporate Credit Facility Supports Main Street," Economic Synopses, Federal Reserve Bank of St. Louis, issue 17, April.

    Cited by:

    1. Xu, Hui & Pennacchi, George G., 2023. "Benchmarking the effects of the Fed's Secondary Market Corporate Credit Facility using Yankee bonds," Journal of Financial Markets, Elsevier, vol. 64(C).

  7. Fleming, Michael J. & Mizrach, Bruce & Nguyen, Giang, 2018. "The microstructure of a U.S. Treasury ECN: The BrokerTec platform," Journal of Financial Markets, Elsevier, vol. 40(C), pages 2-22.
    See citations under working paper version above.
  8. Gao, Cheng & Mizrach, Bruce, 2016. "Market quality breakdowns in equities," Journal of Financial Markets, Elsevier, vol. 28(C), pages 1-23.
    See citations under working paper version above.
  9. Jason Barr & Bruce Mizrach & Kusum Mundra, 2015. "Skyscraper height and the business cycle: separating myth from reality," Applied Economics, Taylor & Francis Journals, vol. 47(2), pages 148-160, January.

    Cited by:

    1. Gabriel Ahlfeldt & Jason Barr, 2020. "The Economics of Skyscrapers: A Synthesis," CESifo Working Paper Series 8427, CESifo.
    2. Auerbach, Jonathan & Wan, Phyllis, 2020. "Forecasting the urban skyline with extreme value theory," International Journal of Forecasting, Elsevier, vol. 36(3), pages 814-828.
    3. Arvydas Jadevicius, 2016. "Skyscraper indicator and its application in the UK," Entrepreneurial Business and Economics Review, Centre for Strategic and International Entrepreneurship at the Cracow University of Economics., vol. 4(2), pages 37-49.
    4. Jae Min Lee & Justin Heejoon Lim & Jayun Heo, 2025. "Revisiting building height restriction policy in the historic center of Seoul: Exploring performance-based height management using view shadow simulation," Environment and Planning B, , vol. 52(6), pages 1353-1371, July.
    5. Alexandru PĂTRUŢI, 2020. "Review of Mark Thornton, The Skyscraper Curse: And How Austrian Economists Predicted Every Major Economic Crisis of the Last Century, Auburn, Alabama, Mises Institute, 2018, 275 pp., pb, ISBN 978-1-61016-684-3," The Journal of Philosophical Economics, Bucharest Academy of Economic Studies, The Journal of Philosophical Economics, vol. 13(2), pages 226-230, November.
    6. Ilir Nase & Nick van Assendelft & Hilde Remøy, 2019. "Rent Premiums and Vertical Sorting in Amsterdam’s Multi-Tenant Office Buildings," The Journal of Real Estate Finance and Economics, Springer, vol. 59(3), pages 419-460, October.
    7. Lu, Jiaxuan, 2023. "The economics of China’s between-city height competition: A regression discontinuity approach," Regional Science and Urban Economics, Elsevier, vol. 100(C).
    8. Jason Barr & Jingshu Luo, 2021. "Growing Skylines: The Economic Determinants of Skyscrapers in China," The Journal of Real Estate Finance and Economics, Springer, vol. 63(2), pages 210-248, August.
    9. Gu, Yuanyuan & Li, Songlin & Wang, Qiao, 2025. "Skyscrapers and productivity in China," Economic Analysis and Policy, Elsevier, vol. 87(C), pages 1292-1322.
    10. Jason Barr & Jennifer Johnson, 2020. "Skyscrapers and the Happiness of Cities," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 46(2), pages 344-377, April.
    11. Gustavo S. Cortes & Marc D. Weidenmier, 2017. "Stock Volatility and the Great Depression," NBER Working Papers 23554, National Bureau of Economic Research, Inc.

  10. Mizrach, Bruce & Otsubo, Yoichi, 2014. "The market microstructure of the European climate exchange," Journal of Banking & Finance, Elsevier, vol. 39(C), pages 107-116.
    See citations under working paper version above.
  11. Chung, Huimin & Gao, Cheng & Lu, Jie & Mizrach, Bruce, 2013. "An empirical analysis of the Shanghai and Shenzhen limit order books," Economic Modelling, Elsevier, vol. 34(C), pages 37-41.
    See citations under working paper version above.
  12. Mizrach, Bruce, 2012. "Integration of the global carbon markets," Energy Economics, Elsevier, vol. 34(1), pages 335-349.

    Cited by:

    1. Yi Yao & Lixin Tian & Guangxi Cao, 2022. "The Information Spillover among the Carbon Market, Energy Market, and Stock Market: A Case Study of China’s Pilot Carbon Markets," Sustainability, MDPI, vol. 14(8), pages 1-18, April.
    2. Vicente Medina Martínez & Ángel Pardo Tornero & Roberto Pascual, 2012. "The timeline of trading fricions in the European Carbon Market," Working Papers. Serie AD 2012-05, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    3. Mizrach, Bruce & Otsubo, Yoichi, 2014. "The market microstructure of the European climate exchange," Journal of Banking & Finance, Elsevier, vol. 39(C), pages 107-116.
    4. Federico Galán-Valdivieso & Elena Villar-Rubio & María-Dolores Huete-Morales, 2018. "The erratic behaviour of the EU ETS on the path towards consolidation and price stability," International Environmental Agreements: Politics, Law and Economics, Springer, vol. 18(5), pages 689-706, October.
    5. Koop, Gary & Tole, Lise, 2013. "Modeling the relationship between European carbon permits and certified emission reductions," Journal of Empirical Finance, Elsevier, vol. 24(C), pages 166-181.
    6. Medina, Vicente & Pardo, Ángel & Pascual, Roberto, 2014. "The timeline of trading frictions in the European carbon market," Energy Economics, Elsevier, vol. 42(C), pages 378-394.
    7. Wang, Nianling & Wang, Qianchao & Li, Yong, 2025. "Estimation and forecast of carbon emission market volatility based on model averaging method," Economic Modelling, Elsevier, vol. 143(C).
    8. Yifei Hua & Feng Dong, 2019. "China’s Carbon Market Development and Carbon Market Connection: A Literature Review," Energies, MDPI, vol. 12(9), pages 1-25, May.
    9. Lyu, Chenyan, 2021. "Regional Carbon Markets in China: Cointegration and Heterogeneity," Working Papers 13-2021, Copenhagen Business School, Department of Economics.
    10. Vicente Medina & Angel Pardo & Roberto Pascual, 2013. "Carbon Credits: Who is the Leader of the Pack?," International Journal of Energy Economics and Policy, International Journal of Energy Economics and Policy, vol. 3(3), pages 210-220.
    11. Kapoor, Nimisha & Ghosh, Sajal, 2014. "Long-term association between European and Indian markets on carbon credit price," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 656-662.
    12. Yue-Jun Zhang, 2016. "Research on carbon emission trading mechanisms: current status and future possibilities," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 39(1/2), pages 89-107.
    13. Karishma Ansaram & Paolo Mazza, 2022. "Dependence structure among carbon markets around the world: New evidence from GARCH-copula analysis," Working Papers 2022-ACF-03, IESEG School of Management.
    14. Eunyoung Kim & Youngcheul Ahn & Doojin Ryu, 2014. "Application of the Carbon Emission Pricing Model in the Korean Market," Energy & Environment, , vol. 25(1), pages 63-78, February.
    15. Beat Hintermann & Marc Gronwald, 2019. "Linking with Uncertainty: The Relationship Between EU ETS Pollution Permits and Kyoto Offsets," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(2), pages 761-784, October.
    16. Lyu, Chenyan & Scholtens, Bert, 2024. "Integration of the international carbon market: A time-varying analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 191(C).
    17. Schultz, Emma & Swieringa, John, 2014. "Catalysts for price discovery in the European Union Emissions Trading System," Journal of Banking & Finance, Elsevier, vol. 42(C), pages 112-122.
    18. Lucia, Julio J. & Mansanet-Bataller, Maria & Pardo, Ángel, 2015. "Speculative and hedging activities in the European carbon market," Energy Policy, Elsevier, vol. 82(C), pages 342-351.
    19. Narayan, Paresh Kumar & Sharma, Susan Sunila, 2015. "Is carbon emissions trading profitable?," Economic Modelling, Elsevier, vol. 47(C), pages 84-92.
    20. Broadstock, David C. & Fouquet, Roger & Kim, Jeong Won, 2025. "Carbon pricing and stock performance: are carbon prices already more influential than energy prices?," LSE Research Online Documents on Economics 128928, London School of Economics and Political Science, LSE Library.
    21. Yves Rannou & Pascal Barneto & Mohamed Amine Boutabba, 2020. "Green Bond market vs. Carbon market in Europe : Two different trajectories but some complementarities," Working Papers hal-02981422, HAL.
    22. Mazza, Paolo & Petitjean, Mikael, 2015. "How integrated is the European carbon derivatives market?," Finance Research Letters, Elsevier, vol. 15(C), pages 18-30.
    23. Rikun Wen & Shenjun Qi & Ahmad Jrade, 2016. "Simulation and Assessment of Whole Life-Cycle Carbon Emission Flows from Different Residential Structures," Sustainability, MDPI, vol. 8(8), pages 1-15, August.
    24. Balcılar, Mehmet & Demirer, Rıza & Hammoudeh, Shawkat & Nguyen, Duc Khuong, 2016. "Risk spillovers across the energy and carbon markets and hedging strategies for carbon risk," Energy Economics, Elsevier, vol. 54(C), pages 159-172.
    25. Hieronymi, Philipp & Schüller, David, 2015. "The Clean-Development Mechanism, stochastic permit prices and energy investments," Energy Economics, Elsevier, vol. 47(C), pages 25-36.

  13. Li, Liuling & Mizrach, Bruce, 2010. "Tail return analysis of Bear Stearns' credit default swaps," Economic Modelling, Elsevier, vol. 27(6), pages 1529-1536, November.
    See citations under working paper version above.
  14. Bruce Mizrach & Susan Weerts, 2009. "Highs and lows: a behavioural and technical analysis," Applied Financial Economics, Taylor & Francis Journals, vol. 19(10), pages 767-777.
    See citations under working paper version above.
  15. Mizrach, Bruce & Weerts, Susan, 2009. "Experts online: An analysis of trading activity in a public Internet chat room," Journal of Economic Behavior & Organization, Elsevier, vol. 70(1-2), pages 266-281, May.
    See citations under working paper version above.
  16. Korenok, Oleg & Mizrach, Bruce & Radchenko, Stanislav, 2009. "A Note On Demand And Supply Factors In Manufacturing Output Asymmetries," Macroeconomic Dynamics, Cambridge University Press, vol. 13(2), pages 263-277, April.

    Cited by:

    1. Luke Hartigan, 2016. "Testing for Symmetry in Weakly Dependent Time Series," Discussion Papers 2016-18, School of Economics, The University of New South Wales.

  17. Mizrach, Bruce & Neely, Christopher J., 2008. "Information shares in the US Treasury market," Journal of Banking & Finance, Elsevier, vol. 32(7), pages 1221-1233, July.
    See citations under working paper version above.
  18. Bruce Mizrach, 2008. "The next tick on Nasdaq," Quantitative Finance, Taylor & Francis Journals, vol. 8(1), pages 19-40.

    Cited by:

    1. Martin D. Gould & Mason A. Porter & Stacy Williams & Mark McDonald & Daniel J. Fenn & Sam D. Howison, 2013. "Limit order books," Quantitative Finance, Taylor & Francis Journals, vol. 13(11), pages 1709-1742, November.
    2. Fleming, Michael J. & Mizrach, Bruce & Nguyen, Giang, 2018. "The microstructure of a U.S. Treasury ECN: The BrokerTec platform," Journal of Financial Markets, Elsevier, vol. 40(C), pages 2-22.
    3. Huimin Chung & Jie Lu & Bruce Mizrach, 2009. "An Empirical Analysis of the Shanghai and Shenzen Limit Order Books," CQE Working Papers 0109, Center for Quantitative Economics (CQE), University of Muenster.
    4. Martin D. Gould & Mason A. Porter & Stacy Williams & Mark McDonald & Daniel J. Fenn & Sam D. Howison, 2010. "Limit Order Books," Papers 1012.0349, arXiv.org, revised Apr 2013.

  19. Goldbaum, David & Mizrach, Bruce, 2008. "Estimating the intensity of choice in a dynamic mutual fund allocation decision," Journal of Economic Dynamics and Control, Elsevier, vol. 32(12), pages 3866-3876, December.
    See citations under working paper version above.
  20. Mizrach, Bruce & Occhino, Filippo, 2008. "The impact of monetary policy on bond returns: A segmented markets approach," Journal of Economics and Business, Elsevier, vol. 60(6), pages 485-501.

    Cited by:

    1. Chinn, Menzie D., 2006. "The (partial) rehabilitation of interest rate parity in the floating rate era: Longer horizons, alternative expectations, and emerging markets," Journal of International Money and Finance, Elsevier, vol. 25(1), pages 7-21, February.
    2. Frederik Lundtofte, 2013. "The quality of public information and the term structure of interest rates," Review of Quantitative Finance and Accounting, Springer, vol. 40(4), pages 715-740, May.
    3. Zervou, Anastasia S., 2013. "Financial market segmentation, stock market volatility and the role of monetary policy," European Economic Review, Elsevier, vol. 63(C), pages 256-272.
    4. Peng, Yulei & Zervou, Anastasia, 2022. "Monetary policy rules and the equity premium in a segmented markets model," Journal of Macroeconomics, Elsevier, vol. 73(C).

  21. Haas, Markus & Mittnik, Stefan & Mizrach, Bruce, 2006. "Assessing central bank credibility during the ERM crises: Comparing option and spot market-based forecasts," Journal of Financial Stability, Elsevier, vol. 2(1), pages 28-54, April.
    See citations under working paper version above.
  22. Bruce Mizrach & Christopher J. Neely, 2006. "The transition to electronic communications networks in the secondary treasury market," Review, Federal Reserve Bank of St. Louis, vol. 88(Nov), pages 527-542.

    Cited by:

    1. Dungey, Mardi & Henry, Olan & McKenzie, Michael, 2010. "From Trade-to-Trade in US Treasuries," Working Papers 10446, University of Tasmania, Tasmanian School of Business and Economics, revised 01 May 2010.
    2. Peter Hördahl & Eli M Remolona & Giorgio Valente, 2015. "Expectations and risk premia at 8:30am: Macroeconomic announcements and the yield curve," BIS Working Papers 527, Bank for International Settlements.
    3. Jose Gutierrez & Yiuman Tse, 2009. "NYSE execution quality subsequent to migration to hybrid," Review of Quantitative Finance and Accounting, Springer, vol. 33(1), pages 59-81, July.
    4. Pasquariello, Paolo & Vega, Clara, 2009. "The on-the-run liquidity phenomenon," Journal of Financial Economics, Elsevier, vol. 92(1), pages 1-24, April.
    5. Fleming, Michael J. & Mizrach, Bruce & Nguyen, Giang, 2018. "The microstructure of a U.S. Treasury ECN: The BrokerTec platform," Journal of Financial Markets, Elsevier, vol. 40(C), pages 2-22.
    6. Michael J. Fleming & Giang Nguyen & Joshua V. Rosenberg, 2007. "How do treasury dealers manage their positions?," Staff Reports 299, Federal Reserve Bank of New York.
    7. Damien Wallace & Petko S. Kalev & Guanhua Lian, 2019. "The evolution of price discovery in us equity and derivatives markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(9), pages 1122-1136, September.
    8. Anna Cieslak & Pavol Povala, 2016. "Information in the Term Structure of Yield Curve Volatility," Journal of Finance, American Finance Association, vol. 71(3), pages 1393-1436, June.
    9. Romans Pancs, 2014. "Workup," Review of Economic Design, Springer;Society for Economic Design, vol. 18(1), pages 37-71, March.
    10. Susan Thomas, 2010. "Call auctions: A Solution to some difficulties in Indian finance," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2010-006, Indira Gandhi Institute of Development Research, Mumbai, India.
    11. Tetsuo Kurosaki & Yusuke Kumano & Kota Okabe & Teppei Nagano, 2015. "Liquidity in JGB Markets: An Evaluation from Transaction Data," Bank of Japan Working Paper Series 15-E-2, Bank of Japan.
    12. Bruce Mizrach & Christopher J. Neely, 2007. "The microstructure of the U.S. treasury market," Working Papers 2007-052, Federal Reserve Bank of St. Louis.
    13. Sun, Zhuowei & Dunne, Peter G. & Li, Youwei, 2015. "Price Discovery in the Dual-Platform US Treasury Market," MPRA Paper 61440, University Library of Munich, Germany.
    14. Robert M. Hunt, 2010. "Business Method Patents And U.S. Financial Services," Contemporary Economic Policy, Western Economic Association International, vol. 28(3), pages 322-352, July.
    15. Antonio Díaz & Francisco Jareño & Eliseo Navarro, 2020. "Yield curves from different bond data sets," Review of Derivatives Research, Springer, vol. 23(2), pages 191-226, July.
    16. Chatrath, Arjun & Christie-David, Rohan A. & Lee, Kiseop & Moore, William T., 2009. "Competitive inventory management in Treasury markets," Journal of Banking & Finance, Elsevier, vol. 33(5), pages 800-809, May.
    17. Robert Engle & Michael J. Fleming & Eric Ghysels & Giang Nguyen, 2012. "Liquidity and volatility in the U.S. treasury market," Staff Reports 590, Federal Reserve Bank of New York.
    18. Mardi Dungey & Jet Holloway & Abdullah Yalaman & Wenying Yao, 2022. "Characterizing financial crises using high-frequency data," Quantitative Finance, Taylor & Francis Journals, vol. 22(4), pages 743-760, April.
    19. Díaz, Antonio & Jareño, Francisco & Navarro, Eliseo, 2018. "Zero-coupon interest rates: Evaluating three alternative datasets," Economics Discussion Papers 2018-67, Kiel Institute for the World Economy.
    20. Antonio Díaz & Francisco Jareño & Eliseo Navarro, 2022. "Yield curve data choice and potential moral hazard: An empirical exercise on pricing callable bonds," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 2124-2145, April.
    21. Kasing Man & Junbo Wang & Chunchi Wu, 2013. "Price Discovery in the U.S. Treasury Market: Automation vs. Intermediation," Management Science, INFORMS, vol. 59(3), pages 695-714, September.
    22. Dungey, Mardi & McKenzie, Michael & Smith, L. Vanessa, 2009. "Empirical evidence on jumps in the term structure of the US Treasury Market," Journal of Empirical Finance, Elsevier, vol. 16(3), pages 430-445, June.
    23. Han, Seung-Oh & Huh, Sahn-Wook & Park, Jeayoung, 2023. "Detecting jumps amidst prevalent zero returns: Evidence from the U.S. Treasury securities," Journal of Empirical Finance, Elsevier, vol. 70(C), pages 276-307.
    24. Tsujimoto, Yusuke, 2025. "Coarse pricing in QE auctions," Journal of Financial Markets, Elsevier, vol. 73(C).
    25. Yesol Huh & Sebastian Infante, 2017. "Bond Market Intermediation and the Role of Repo," Finance and Economics Discussion Series 2017-003, Board of Governors of the Federal Reserve System (U.S.).
    26. Dumitru, Ana-Maria & Urga, Giovanni, 2016. "Jumps and Information Asymmetry in the US Treasury Market," EconStor Preprints 130148, ZBW - Leibniz Information Centre for Economics.
    27. Ødegaard, Bernt Arne, 2016. "Bond Liquidity at the Oslo Stock Exchange," UiS Working Papers in Economics and Finance 2016/16, University of Stavanger.
    28. Alain P. Chaboud & Benjamin Chiquoine & Erik Hjalmarsson & Mico Loretan, 2007. "Frequency of observation and the estimation of integrated volatility in deep and liquid financial markets," International Finance Discussion Papers 905, Board of Governors of the Federal Reserve System (U.S.).

  23. Bruce Mizrach, 2006. "The Enron Bankruptcy: When did the options market in Enron lose it’s smirk?," Review of Quantitative Finance and Accounting, Springer, vol. 27(4), pages 365-382, December.

    Cited by:

    1. Christoffersen, Peter & Jacobs, Kris & Chang, Bo Young, 2013. "Forecasting with Option-Implied Information," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 581-656, Elsevier.
    2. Sol Kim & Geul Lee, 2017. "Lead–Lag Relationship Between Returns and Implied Moments: Evidence from KOSPI 200 Intraday Options Data," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 20(03), pages 1-20, September.
    3. Ehret, Michael, 2014. "Financial socialism: The role of financial economics in economic disorganization," Journal of Business Research, Elsevier, vol. 67(1), pages 2686-2692.
    4. Bruce Mizrach, 2007. "Recovering Probabilistic Information From Options Prices and the Underlying," Departmental Working Papers 200702, Rutgers University, Department of Economics.

  24. B. Mizrach, 2006. "Does SIZE matter? Liquidity Provision by the Nasdaq Anonymous Trading Facility," Competition and Regulation in Network Industries, Intersentia, vol. 7(4), pages 471-486, December.
    See citations under working paper version above.
  25. Mizrach Bruce, 2005. "A Video Interview of Buz Brock," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 9(1), pages 1-5, March.
    See citations under working paper version above.
  26. Michael D. Bordo & Bruce Mizrach & Anna J. Schwartz, 1998. "Real versus Pseudo-International Systemic Risk Some Lessons from History," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 1(01), pages 31-58.
    See citations under working paper version above.
  27. Mizrach, Bruce, 1996. "Determining delay times for phase space reconstruction with application to the FF/DM exchange rate," Journal of Economic Behavior & Organization, Elsevier, vol. 30(3), pages 369-381, September.

    Cited by:

    1. Wang, Jianzhou & Jia, Ruiling & Zhao, Weigang & Wu, Jie & Dong, Yao, 2012. "Application of the largest Lyapunov exponent and non-linear fractal extrapolation algorithm to short-term load forecasting," Chaos, Solitons & Fractals, Elsevier, vol. 45(9), pages 1277-1287.
    2. Eduardo Pozo & Lucia Amboj, 2001. "Noise reduction methods and the Grassberger-Procaccia algorithm. A simulation study," Applied Economics Letters, Taylor & Francis Journals, vol. 8(2), pages 71-75.
    3. Marisa Faggini, 2011. "Chaotic Time Series Analysis in Economics: Balance and Perspectives," Working papers 25, Former Department of Economics and Public Finance "G. Prato", University of Torino.
    4. Teresa Aparicio & Dulce Saura, 2013. "Do Exchange Rate Series Present General Dependence? Some Results using Recurrence Quantification Analysis," Journal of Economics and Behavioral Studies, AMH International, vol. 5(10), pages 678-686.

  28. Mizrach, Bruce, 1995. "Target zone models with stochastic realignments: an econometric evaluation," Journal of International Money and Finance, Elsevier, vol. 14(5), pages 641-657, October.
    See citations under working paper version above.
  29. Koedijk, Kees G. & Mizrach, Bruce & Stork, Philip A. & de Vries, Casper G., 1995. "New evidence on the effectiveness of foreign exchange market intervention," European Economic Review, Elsevier, vol. 39(3-4), pages 501-508, April.

    Cited by:

    1. Ken Miyajima, 2013. "Foreign exchange intervention and expectation in emerging economies," BIS Working Papers 414, Bank for International Settlements.
    2. Brissimis, Sophocles N. & Chionis, Dionysios P., 2004. "Foreign exchange market intervention: implications of publicly announced and secret intervention for the euro exchange rate and its volatility," Journal of Policy Modeling, Elsevier, vol. 26(6), pages 661-673, September.

  30. Mayfield, E Scott & Mizrach, Bruce, 1992. "On Determining the Dimension of Real-Time Stock-Price Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 10(3), pages 367-374, July.

    Cited by:

    1. M. Matilla-Garcia & P. Sanz & F. J. Vazquez, 2004. "Dimension estimation with the BDS-G statistic," Applied Economics, Taylor & Francis Journals, vol. 36(11), pages 1219-1223.
    2. Costas Siriopoulos & Alexandros Leontitsis, 2002. "Nonlinear Noise Estimation in International Capital Markets," Multinational Finance Journal, Multinational Finance Journal, vol. 6(1), pages 43-63, March.
    3. Eduardo Pozo & Lucia Amboj, 2001. "Noise reduction methods and the Grassberger-Procaccia algorithm. A simulation study," Applied Economics Letters, Taylor & Francis Journals, vol. 8(2), pages 71-75.
    4. Samir Saadi & Devinder Gandhi & Khaled Elmawazini, 2006. "On the validity of conventional statistical tests given evidence of non-synchronous trading and non-linear dynamics in returns generating process," Applied Economics Letters, Taylor & Francis Journals, vol. 13(5), pages 301-305.
    5. McKenzie, Michael D., 2001. "Chaotic behavior in national stock market indices: New evidence from the close returns test," Global Finance Journal, Elsevier, vol. 12(1), pages 35-53.
    6. Ayşe İşi & Fatih Çemrek, 2019. "Comparison of the Global, Local and Semi-Local Chaotic Prediction Methods for Stock Markets: The Case of FTSE-100 Index," Alphanumeric Journal, Bahadir Fatih Yildirim, vol. 7(2), pages 289-300, December.
    7. Mizrach, Bruce, 1996. "Determining delay times for phase space reconstruction with application to the FF/DM exchange rate," Journal of Economic Behavior & Organization, Elsevier, vol. 30(3), pages 369-381, September.
    8. Nie, Chun-Xiao, 2017. "Correlation dimension of financial market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 473(C), pages 632-639.
    9. Simón Sosvilla-Rivero & Fernando Fernández-Rodriguez & Julián Andrada-Félix, 2005. "Testing chaotic dynamics via Lyapunov exponents," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(7), pages 911-930.
    10. Antoniou, Antonios & Vorlow, Constantinos E., 2005. "Price clustering and discreteness: is there chaos behind the noise?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 348(C), pages 389-403.
    11. Leontitsis, Alexandros & Vorlow, Constantinos E., 2006. "Accounting for outliers and calendar effects in surrogate simulations of stock return sequences," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 368(2), pages 522-530.
    12. Cheung, Yin-Wong & Lai, Kon S., 1995. "A search for long memory in international stock market returns," Journal of International Money and Finance, Elsevier, vol. 14(4), pages 597-615, August.
    13. Nie, Chun-Xiao, 2019. "Applying correlation dimension to the analysis of the evolution of network structure," Chaos, Solitons & Fractals, Elsevier, vol. 123(C), pages 294-303.
    14. Aparicio, Teresa & Pozo, Eduardo F. & Saura, Dulce, 2008. "Detecting determinism using recurrence quantification analysis: Three test procedures," Journal of Economic Behavior & Organization, Elsevier, vol. 65(3-4), pages 768-787, March.
    15. Orzeszko, Witold, 2008. "The new method of measuring the effects of noise reduction in chaotic data," Chaos, Solitons & Fractals, Elsevier, vol. 38(5), pages 1355-1368.
    16. Barkoulas, John T. & Chakraborty, Atreya & Ouandlous, Arav, 2012. "A metric and topological analysis of determinism in the crude oil spot market," Energy Economics, Elsevier, vol. 34(2), pages 584-591.
    17. Anagnostidis, Panagiotis & Emmanouilides, Christos J., 2015. "Nonlinearity in high-frequency stock returns: Evidence from the Athens Stock Exchange," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 421(C), pages 473-487.
    18. Adrangi, Bahram & Chatrath, Arjun & Dhanda, Kanwalroop Kathy & Raffiee, Kambiz, 2001. "Chaos in oil prices? Evidence from futures markets," Energy Economics, Elsevier, vol. 23(4), pages 405-425, July.
    19. Rohnn Sanderson, 2011. "Compartmentalising Gold Prices," International Journal of Business and Economic Sciences Applied Research (IJBESAR), Democritus University of Thrace (DUTH), Kavala Campus, Greece, vol. 4(2), pages 99-124, August.
    20. Marisa Faggini & Bruna Bruno & Anna Parziale, 2019. "Does Chaos Matter in Financial Time Series Analysis?," International Journal of Economics and Financial Issues, International Journal of Economics and Financial Issues, vol. 9(4), pages 18-24.
    21. Barkoulas, John T., 2008. "Testing for deterministic monetary chaos: Metric and topological diagnostics," Chaos, Solitons & Fractals, Elsevier, vol. 38(4), pages 1013-1024.
    22. Mastroeni, Loretta & Vellucci, Pierluigi & Naldi, Maurizio, 2019. "A reappraisal of the chaotic paradigm for energy commodity prices," Energy Economics, Elsevier, vol. 82(C), pages 167-178.

  31. Mizrach, Bruce, 1992. "The distribution of the Theil U-statistic in bivariate normal populations," Economics Letters, Elsevier, vol. 38(2), pages 163-167, February.

    Cited by:

    1. Jayita Bit & Sarmila Banerjee, 2014. "Consumption of Wood Products and Dependence on Imports," Foreign Trade Review, , vol. 49(3), pages 263-290, August.
    2. McCracken, Michael W., 2007. "Asymptotics for out of sample tests of Granger causality," Journal of Econometrics, Elsevier, vol. 140(2), pages 719-752, October.
    3. Thomas M. Fullerton Jr. & Juan Alberto Luevano & Carol Taylor West, 2004. "Accuracy of Regional Single-Family Housing Start Forecasts," Urban/Regional 0404010, University Library of Munich, Germany.
    4. Todd E. Clark & Michael McCracken, 1999. "Tests of Equal Forecast Accuracy and Encompassing for Nested Models," Computing in Economics and Finance 1999 1241, Society for Computational Economics.
    5. Roberto Tinajero & Thomas M. Fullerton & Lawrence Waldman, 2005. "Regional econometric income forecast accuracy," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 24(5), pages 325-333.
    6. Fullerton, Jr., Thomas M. & Taylor West, Carol A., 1998. "Regional Econometric Housing Start Forecast Accuracy in Florida," The Review of Regional Studies, Southern Regional Science Association, vol. 28(3), pages 15-42, Winter.
    7. Ashley, Richard, 2003. "Statistically significant forecasting improvements: how much out-of-sample data is likely necessary?," International Journal of Forecasting, Elsevier, vol. 19(2), pages 229-239.
    8. Bruce Mizrach, 1996. "Forecast Comparison in L2," Departmental Working Papers 199524, Rutgers University, Department of Economics.
    9. Riemer, Hila & Mallik, Suman & Sudharshan, Devanathan, 2002. "Market Shares Follow the Zipf Distribution," Working Papers 02-0125, University of Illinois at Urbana-Champaign, College of Business.
    10. Mirza, Nawazish & Rizvi, Syed Kumail Abbas & Naqvi, Bushra & Umar, Muhammad, 2024. "Inflation prediction in emerging economies: Machine learning and FX reserves integration for enhanced forecasting," International Review of Financial Analysis, Elsevier, vol. 94(C).
    11. Fullerton, Thomas Jr. & Laaksonen, Mika M. & West, Carol T., 2001. "Regional multi-family housing start forecast accuracy," International Journal of Forecasting, Elsevier, vol. 17(2), pages 171-180.
    12. Thomas M. Fullerton Jr. & Ana Cecilia Nava, 2004. "Short-Term Water Dynamics in Chihuahua City, Mexico," Urban/Regional 0404001, University Library of Munich, Germany.
    13. Carol Taylor West & Thomas M. Fullerton Jr., 2004. "Assessing the Historical Accuracy of Regional Economic Forecasts," Urban/Regional 0404009, University Library of Munich, Germany.
    14. Vogl, Markus & Kojić, Milena & Sharma, Abhishek & Stanisic, Nikola, 2025. "Decoding financial markets: Empirical DGPs as the key to model selection and forecasting excellence – A proof of concept," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 666(C).

  32. Mizrach, B, 1992. "Multivariate Nearest-Neighbor Forecasts of EMS Exchange Rates," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 7(S), pages 151-163, Suppl. De.

    Cited by:

    1. Barbara Rossi, 2013. "Exchange Rate Predictability," Journal of Economic Literature, American Economic Association, vol. 51(4), pages 1063-1119, December.
    2. Mihaela Simionescu, 2025. "Machine Learning vs. Econometric Models to Forecast Inflation Rate in Romania? The Role of Sentiment Analysis," Mathematics, MDPI, vol. 13(1), pages 1-18, January.
    3. Cai Zongwu & Chen Linna & Fang Ying, 2012. "A New Forecasting Model for USD/CNY Exchange Rate," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 16(3), pages 1-20, September.
    4. Óscar Bajo Rubio & Simón Sosvilla Rivero & Fernando Fernández Rodríguez, 2000. "Asymmetry In The Ems: New Evidence Based On Non-Linear Forecasts," Documentos de Trabajo - Lan Gaiak Departamento de Economía - Universidad Pública de Navarra 0001, Departamento de Economía - Universidad Pública de Navarra.
    5. Michael Pippenger & Gregory Goering, 1998. "Exchange Rate Forecasting: Results from a Threshold Autoregressive Model," Open Economies Review, Springer, vol. 9(2), pages 157-170, April.
    6. Angelos Kanas, 2003. "Non-linear forecasts of stock returns," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 22(4), pages 299-315.
    7. Manzan, S., 2002. "Model Selection for Nonlinear Time Series," CeNDEF Working Papers 02-12, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    8. Meade, Nigel, 2002. "A comparison of the accuracy of short term foreign exchange forecasting methods," International Journal of Forecasting, Elsevier, vol. 18(1), pages 67-83.
    9. Fernando Fernández-Rodríguez & Simón Sosvilla-Rivero & Julián Andrada-Félix, "undated". "Nearest-Neighbour Predictions in Foreign Exchange Markets," Working Papers 2002-05, FEDEA.
    10. Fernandez-Rodriguez, Fernando & Sosvilla-Rivero, Simon & Andrada-Felix, Julian, 1999. "Exchange-rate forecasts with simultaneous nearest-neighbour methods: evidence from the EMS," International Journal of Forecasting, Elsevier, vol. 15(4), pages 383-392, October.
    11. Martin McCarthy, Stephen Snudden, 2024. "Forecasts of Period-Average Exchange Rates: New Insights from Real-Time Daily Data," LCERPA Working Papers jc0148, Laurier Centre for Economic Research and Policy Analysis, revised Oct 2024.
    12. Rodríguez-Vargas, Adolfo, 2020. "Forecasting Costa Rican inflation with machine learning methods," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 1(1).
    13. Mizrach, Bruce, 1995. "Target zone models with stochastic realignments: an econometric evaluation," Journal of International Money and Finance, Elsevier, vol. 14(5), pages 641-657, October.
    14. Theodore Panagiotidis, 2010. "An Out-of-Sample Test for Nonlinearity in Financial Time Series: An Empirical Application," Computational Economics, Springer;Society for Computational Economics, vol. 36(2), pages 121-132, August.
    15. Qi, Min & Wu, Yangru, 2003. "Nonlinear prediction of exchange rates with monetary fundamentals," Journal of Empirical Finance, Elsevier, vol. 10(5), pages 623-640, December.
    16. F. FernAndez-RodrIguez & S. Sosvilla-Rivero & J. Andrada-FElix, 2003. "Technical analysis in foreign exchange markets: evidence from the EMS," Applied Financial Economics, Taylor & Francis Journals, vol. 13(2), pages 113-122.
    17. Oscar Bajo-Rubio & Simón Sosvilla-Rivero & Fernando Fernández-Rodríguez, "undated". "Non-Linear Forecasting Methods: Some Applications to the Analysis of Financial Series," Working Papers 2002-01, FEDEA.
    18. Cao, Liangyue & Soofi, Abdol S., 1999. "Nonlinear deterministic forecasting of daily dollar exchange rates," International Journal of Forecasting, Elsevier, vol. 15(4), pages 421-430, October.
    19. Renault, Eric & Sekkat, Khalid & Szafarz, Ariane, 1998. "Testing for spurious causality in exchange rates," Journal of Empirical Finance, Elsevier, vol. 5(1), pages 47-66, January.
    20. Sugata Ghosh & Iannis A. Mourmouras & Sarmistha Pal & Ivan Paya, 2003. "On Public Investment, the Real Exchange Rate and Growth: Some Empirical Evidence from the UK and the USA," Manchester School, University of Manchester, vol. 71(3), pages 242-264, June.
    21. Fernando Fernández-Rodríguez & Simón Sosvilla-Rivero & Julián Andrada-Félix, "undated". "Technical Analysis in Foreign Exchange Markets: Linear Versus Nonlinear Trading Rules," Working Papers on International Economics and Finance 00-02, FEDEA.
    22. Nan Cai & Zongwu Cai & Ying Fang & Qiuhua Xu, 2015. "Forecasting major Asian exchange rates using a new semiparametric STAR model," Empirical Economics, Springer, vol. 48(1), pages 407-426, February.
    23. Bruce Mizrach, 1996. "Mean Reversion in EMS Exchange Rates," Departmental Working Papers 199525, Rutgers University, Department of Economics.
    24. António Portugal Duarte & João Sousa Andrade & Adelaide Duarte, 2013. "Testing for Nonlinear Adjustment in the Portuguese Target Zone: Is there a Honeymoon Effect?," GEMF Working Papers 2013-03, GEMF, Faculty of Economics, University of Coimbra.
    25. Firat Melih Yilmaz & Ozer Arabaci, 2021. "Should Deep Learning Models be in High Demand, or Should They Simply be a Very Hot Topic? A Comprehensive Study for Exchange Rate Forecasting," Computational Economics, Springer;Society for Computational Economics, vol. 57(1), pages 217-245, January.
    26. Adolfo Rodríguez-Vargas, 2020. "Forecasting Costa Rican Inflation with Machine Learning Methods," Documentos de Trabajo 2002, Banco Central de Costa Rica.
    27. John Barkoulas & Christopher F. Baum & Atreya Chakraborty, 1996. "Nearest-Neighbor Forecasts of U.S. Interest Rates," Boston College Working Papers in Economics 313., Boston College Department of Economics, revised 01 Apr 2003.
    28. Zhang, Gioqinang & Hu, Michael Y., 1998. "Neural network forecasting of the British Pound/US Dollar exchange rate," Omega, Elsevier, vol. 26(4), pages 495-506, August.
    29. António Portugal Duarte & João Sousa Andrade & Adelaide Duarte, 2010. "Exchange Rate Target Zones: A Survey of the Literature," GEMF Working Papers 2010-14, GEMF, Faculty of Economics, University of Coimbra.
    30. Jaditz Ted & Riddick Leigh A., 2000. "Time-Series Near-Neighbor Regression," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 4(1), pages 1-11, April.
    31. Kück, Mirko & Freitag, Michael, 2021. "Forecasting of customer demands for production planning by local k-nearest neighbor models," International Journal of Production Economics, Elsevier, vol. 231(C).
    32. de Jong, Eelke & Verschoor, Willem F.C. & Zwinkels, Remco C.J., 2010. "Heterogeneity of agents and exchange rate dynamics: Evidence from the EMS," Journal of International Money and Finance, Elsevier, vol. 29(8), pages 1652-1669, December.
    33. Pablo Guerróon‐Quintana & Molin Zhong, 2023. "Macroeconomic forecasting in times of crises," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(3), pages 295-320, April.
    34. Martin McCarthy & Stephen Snudden, 2025. "Forecasts of Period-average Exchange Rates: Insights from Real-time Daily Data," RBA Research Discussion Papers rdp2025-09, Reserve Bank of Australia.
    35. Adam Clements & Joanne Fuller & Stan Hurn, 2013. "Semi-parametric Forecasting of Spikes in Electricity Prices," The Economic Record, The Economic Society of Australia, vol. 89(287), pages 508-521, December.
    36. Sarantis, Nicholas, 1999. "Modeling non-linearities in real effective exchange rates," Journal of International Money and Finance, Elsevier, vol. 18(1), pages 27-45, January.
    37. Adam Clements & Joanne Fuller, 2012. "Forecasting increases in the VIX: A time-varying long volatility hedge for equities," NCER Working Paper Series 88, National Centre for Econometric Research.
    38. Kim, Young Min & Lee, Seojin, 2020. "Exchange rate predictability: A variable selection perspective," International Review of Economics & Finance, Elsevier, vol. 70(C), pages 117-134.
    39. Becker Ralf & Clements Adam E & Hurn Stan, 2011. "Semi-Parametric Forecasting of Realized Volatility," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 15(3), pages 1-23, May.
    40. Srichander Ramaswamy, 1998. "One-step prediction of financial time series," BIS Working Papers 57, Bank for International Settlements.
    41. Nikolopoulos, Konstantinos I. & Babai, M. Zied & Bozos, Konstantinos, 2016. "Forecasting supply chain sporadic demand with nearest neighbor approaches," International Journal of Production Economics, Elsevier, vol. 177(C), pages 139-148.

  33. Mizrach, Bruce, 1991. "Nonconvexities in a stochastic control problem with learning," Journal of Economic Dynamics and Control, Elsevier, vol. 15(3), pages 515-538, July.

    Cited by:

    1. Wieland, Volker, 2000. "Learning by doing and the value of optimal experimentation," Journal of Economic Dynamics and Control, Elsevier, vol. 24(4), pages 501-534, April.
    2. Tucci, Marco P. & Kendrick, David A. & Amman, Hans M., 2010. "The parameter set in an adaptive control Monte Carlo experiment: Some considerations," Journal of Economic Dynamics and Control, Elsevier, vol. 34(9), pages 1531-1549, September.
    3. Wieland, Volker, 2000. "Monetary policy, parameter uncertainty and optimal learning," Journal of Monetary Economics, Elsevier, vol. 46(1), pages 199-228, August.
    4. David Kendrick & Hans Amman, 2006. "A Classification System for Economic Stochastic Control Models," Computational Economics, Springer;Society for Computational Economics, vol. 27(4), pages 453-481, June.
    5. D.A. Kendrick & H.M. Amman & M.P. Tucci, 2008. "Learning About Learning in Dynamic Economic Models," Working Papers 08-20, Utrecht School of Economics.
    6. Wieland, Volker, 2003. "Monetary Policy and Uncertainty about the Natural Unemployment Rate," CFS Working Paper Series 2003/05, Center for Financial Studies (CFS).
    7. V. Blueschke-Nikolaeva & D. Blueschke & R. Neck, 2020. "OPTCON3: An Active Learning Control Algorithm for Nonlinear Quadratic Stochastic Problems," Computational Economics, Springer;Society for Computational Economics, vol. 56(1), pages 145-162, June.
    8. Beck, Gunter W. & Wieland, Volker, 2002. "Learning and control in a changing economic environment," Journal of Economic Dynamics and Control, Elsevier, vol. 26(9-10), pages 1359-1377, August.
    9. Tucci, Marco P., 2002. "A note on global optimization in adaptive control, econometrics and macroeconomics," Journal of Economic Dynamics and Control, Elsevier, vol. 26(9-10), pages 1739-1764, August.
    10. Marco Tucci, 2006. "Understanding the Difference Between Robust Control and Optimal Control in a Linear Discrete-Time System with Time-Varying Parameters," Computational Economics, Springer;Society for Computational Economics, vol. 27(4), pages 533-558, June.
    11. Kendrick, David A., 2005. "Stochastic control for economic models: past, present and the paths ahead," Journal of Economic Dynamics and Control, Elsevier, vol. 29(1-2), pages 3-30, January.
    12. Bond, Craig A., 2008. "On the Potential Use of Adaptive Control Methods for Improving Adaptive Natural Resource Management," Working Papers 108721, Colorado State University, Department of Agricultural and Resource Economics.

  34. Klein, Michael & Mizrach, Bruce & Murphy, Robert G, 1991. "Managing the Dollar: Has the Plaza Agreement Mattered?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 23(4), pages 742-751, November.
    See citations under working paper version above.
  35. Mizrach, Bruce & Santomero, Anthony M., 1990. "A liquidity-in-advance model of the demand for money under price uncertainty," Journal of Monetary Economics, Elsevier, vol. 26(1), pages 143-159, August.

    Cited by:

    1. Anthony M. Santomero & John J. Seater, 1997. "Monies and Banking," Center for Financial Institutions Working Papers 97-11, Wharton School Center for Financial Institutions, University of Pennsylvania.
    2. Afsin Sahin, 2013. "Estimating Money Demand Function by a Smooth Transition Regression Model: An Evidence for Turkey," Working Papers 791, Economic Research Forum, revised Nov 2013.
    3. Eu Chye Tan, 1997. "Money demand amid financial sector developments in Malaysia," Applied Economics, Taylor & Francis Journals, vol. 29(9), pages 1201-1215.
    4. Arize, A. C. & Malindretos, John & Grivoyannis, Elias C., 2005. "Inflation-rate volatility and money demand: Evidence from less developed countries," International Review of Economics & Finance, Elsevier, vol. 14(1), pages 57-80.

Chapters

  1. Cheng Gao & Bruce Mizrach, 2018. "High Frequency Trading in the Equity Markets During US Treasury POMO," Dynamic Modeling and Econometrics in Economics and Finance, in: Fredj Jawadi (ed.), Uncertainty, Expectations and Asset Price Dynamics, pages 81-103, Springer.
    See citations under working paper version above.
  2. Bruce Mizrach, 2012. "Comment on "Endogenous and Systemic Risk"," NBER Chapters, in: Quantifying Systemic Risk, pages 94-105, National Bureau of Economic Research, Inc.

    Cited by:

    1. María Rodríguez-Moreno & Sergio Mayordomo & Juan Ignacio Peña, 2012. "Derivatives Holdings and Systemic Risk in the U.S. Banking Sector," Faculty Working Papers 21/12, School of Economics and Business Administration, University of Navarra.

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