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Dominik Roesch

Personal Details

First Name:Dominik
Middle Name:
Last Name:Roesch
Suffix:
RePEc Short-ID:pro1265
[This author has chosen not to make the email address public]
http://dominikroesch.com/

Affiliation

School of Management
State University of New York-Buffalo (SUNY)

Buffalo, New York (United States)
http://www.mgt.buffalo.edu/
RePEc:edi:smbufus (more details at EDIRC)

Research output

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Jump to: Articles

Articles

  1. Rösch, Dominik, 2021. "The impact of arbitrage on market liquidity," Journal of Financial Economics, Elsevier, vol. 142(1), pages 195-213.
  2. Chung, Kee H. & Lee, Albert J. & Rösch, Dominik, 2020. "Tick size, liquidity for small and large orders, and price informativeness: Evidence from the Tick Size Pilot Program," Journal of Financial Economics, Elsevier, vol. 136(3), pages 879-899.
  3. Hendershott, Terrence & Livdan, Dmitry & Rösch, Dominik, 2020. "Asset pricing: A tale of night and day," Journal of Financial Economics, Elsevier, vol. 138(3), pages 635-662.
  4. Dominik M. Rösch & Avanidhar Subrahmanyam & Mathijs A. van Dijk, 2017. "The Dynamics of Market Efficiency," The Review of Financial Studies, Society for Financial Studies, vol. 30(4), pages 1151-1187.

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.

Articles

  1. Chung, Kee H. & Lee, Albert J. & Rösch, Dominik, 2020. "Tick size, liquidity for small and large orders, and price informativeness: Evidence from the Tick Size Pilot Program," Journal of Financial Economics, Elsevier, vol. 136(3), pages 879-899.

    Cited by:

    1. Chung, Kee H. & Chuwonganant, Chairat, 2023. "COVID-19 pandemic and the stock market: Liquidity, price efficiency, and trading," Journal of Financial Markets, Elsevier, vol. 64(C).
    2. Chakrabarty, Bidisha & Cox, Justin & Upson, James E., 2022. "Tick Size Pilot Program and price discovery in U.S. stock markets," Journal of Financial Markets, Elsevier, vol. 59(PB).
    3. Mei-Chen Lin & J. Jimmy Yang, 2023. "Do lottery characteristics matter for analysts’ forecast behavior?," Review of Quantitative Finance and Accounting, Springer, vol. 61(3), pages 1057-1091, October.
    4. Eaton, Gregory W. & Irvine, Paul J. & Liu, Tingting, 2021. "Measuring institutional trading costs and the implications for finance research: The case of tick size reductions," Journal of Financial Economics, Elsevier, vol. 139(3), pages 832-851.
    5. Sean Foley & Tom G Meling & Bernt Arne Ødegaard, 2023. "Tick Size Wars: The Market Quality Effects of Pricing Grid Competition," Review of Finance, European Finance Association, vol. 27(2), pages 659-692.
    6. Yamada, Masahiro, 2022. "Profitability and liquidity provision of HFTs during large price shocks: Does relative tick size matter?," Finance Research Letters, Elsevier, vol. 46(PA).
    7. Kee H. Chung & Chairat Chuwonganant & Youngsoo Kim, 2022. "Preopening price indications and market quality: Evidence from NYSE Rule 48," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 45(2), pages 205-228, June.
    8. Lee, Albert J. & Chung, Kee H., 2022. "Hidden liquidity, market quality, and order submission strategies," Journal of Financial Markets, Elsevier, vol. 61(C).
    9. Toloo, Mehdi & Tone, Kaoru & Izadikhah, Mohammad, 2023. "Selecting slacks-based data envelopment analysis models," European Journal of Operational Research, Elsevier, vol. 308(3), pages 1302-1318.
    10. Ye, Mao & Zheng, Miles Y. & Zhu, Wei, 2023. "The effect of tick size on managerial learning from stock prices," Journal of Accounting and Economics, Elsevier, vol. 75(1).
    11. Jose S. Penalva & Mikel Tapia, 2021. "Heterogeneity and Competition in Fragmented Markets: Fees Vs Speed," Applied Mathematical Finance, Taylor & Francis Journals, vol. 28(2), pages 143-177, March.
    12. Xiao, Xijuan & Yamamoto, Ryuichi, 2020. "Price discovery, order submission, and tick size during preopen period," Pacific-Basin Finance Journal, Elsevier, vol. 63(C).
    13. Kee H. Chung & Chairat Chuwonganant, 2023. "Tick size and price efficiency: Further evidence from the Tick Size Pilot Program," Financial Management, Financial Management Association International, vol. 52(3), pages 483-511, September.
    14. Zheng, Jiayi & Zhu, Yushu, 2023. "Algorithmic trading and block ownership initiation: An information perspective," The British Accounting Review, Elsevier, vol. 55(4).
    15. Jacob Thomas & Frank Zhang & Wei Zhu, 2021. "Dark Trading and Post-Earnings-Announcement Drift," Management Science, INFORMS, vol. 67(12), pages 7785-7811, December.
    16. Ibikunle, Gbenga & Li, Youwei & Mare, Davide & Sun, Yuxin, 2021. "Dark matters: The effects of dark trading restrictions on liquidity and informational efficiency," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 75(C).
    17. Kemme, David M. & McInish, Thomas H. & Zhang, Jiang, 2022. "Market fairness and efficiency: Evidence from the Tokyo Stock Exchange," Journal of Banking & Finance, Elsevier, vol. 134(C).
    18. Jungjun Choi & Ming Yuan, 2023. "Matrix Completion When Missing Is Not at Random and Its Applications in Causal Panel Data Models," Papers 2308.02364, arXiv.org.
    19. Giuliano Graziani & Barbara Rindi, 2023. "Optimal Tick Size," Working Papers 688, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    20. Anwer S. Ahmed & Yiwen Li & Nina Xu, 2020. "Tick Size and Financial Reporting Quality in Small‐Cap Firms: Evidence from a Natural Experiment," Journal of Accounting Research, Wiley Blackwell, vol. 58(4), pages 869-914, September.

  2. Hendershott, Terrence & Livdan, Dmitry & Rösch, Dominik, 2020. "Asset pricing: A tale of night and day," Journal of Financial Economics, Elsevier, vol. 138(3), pages 635-662.

    Cited by:

    1. Qi Cui & Tianhong Zhao & Tingyue Cui, 2023. "Macroeconomic Announcements: How Announcements Shape Trading Strategies," SAGE Open, , vol. 13(4), pages 21582440231, December.
    2. Lin, Chaonan & Chang, Hui-Wen & Chou, Robin K., 2023. "Overnight versus intraday returns of anomalies in China," Pacific-Basin Finance Journal, Elsevier, vol. 79(C).
    3. Bodilsen, Simon & Eriksen, Jonas N. & Grønborg, Niels S., 2021. "Asset pricing and FOMC press conferences," Journal of Banking & Finance, Elsevier, vol. 128(C).
    4. Kallinterakis, Vasileios & Karaa, Rabaa, 2023. "From dusk till dawn (and vice versa): Overnight-versus-daytime reversals and feedback trading," International Review of Financial Analysis, Elsevier, vol. 85(C).
    5. De Rossi, Giuliano & Steliaros, Michael, 2022. "The Shift from Active to Passive and its Effect on Intraday Stock Dynamics," Journal of Banking & Finance, Elsevier, vol. 143(C).
    6. Michael Hasler & Charles Martineau, 2023. "Explaining the Failure of the Unconditional CAPM with the Conditional CAPM," Management Science, INFORMS, vol. 69(3), pages 1835-1855, March.
    7. Insana, Alessandra, 2023. "Betting against beta with intraday and overnight signals," International Review of Financial Analysis, Elsevier, vol. 86(C).
    8. Naresh Bansal & Robert A. Connolly & Chris Stivers, 2022. "Beta and size equity premia following a high‐VIX threshold," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(8), pages 1491-1517, August.
    9. Bai, Jennie & Bali, Turan G. & Wen, Quan, 2021. "Is there a risk-return tradeoff in the corporate bond market? Time-series and cross-sectional evidence," Journal of Financial Economics, Elsevier, vol. 142(3), pages 1017-1037.
    10. Wang, Cheng & Bouri, Elie & Xu, Yahua & Zhang, Dingsheng, 2023. "Intraday and overnight tail risks and return predictability in the crude oil market: Evidence from oil-related regular news and extreme shocks," Energy Economics, Elsevier, vol. 127(PB).
    11. Li, Yubin & Zhao, Chen & Zhong, Zhaodong (Ken), 2021. "Trading behavior of retail investors in derivatives markets: Evidence from Mini options," Journal of Banking & Finance, Elsevier, vol. 133(C).
    12. Zhu, Hongbing & Yang, Lihua & Xu, Changxin, 2023. "Tracking investor gambling intensity," International Review of Financial Analysis, Elsevier, vol. 86(C).
    13. Bogousslavsky, Vincent, 2021. "The cross-section of intraday and overnight returns," Journal of Financial Economics, Elsevier, vol. 141(1), pages 172-194.
    14. Kang, Junqing & Lin, Shen & Xiong, Xiong, 2022. "What drives intraday reversal? illiquidity or liquidity oversupply?," Journal of Economic Dynamics and Control, Elsevier, vol. 136(C).
    15. Lu, Zhongjin & Malliaris, Steven & Qin, Zhongling, 2023. "Heterogeneous liquidity providers and night-minus-day return predictability," Journal of Financial Economics, Elsevier, vol. 148(3), pages 175-200.
    16. Chan, Kam Fong & Marsh, Terry, 2022. "Asset pricing on earnings announcement days," Journal of Financial Economics, Elsevier, vol. 144(3), pages 1022-1042.
    17. Wang, Wenzhao, 2021. "The mean–variance relation: A 24-hour story," Economics Letters, Elsevier, vol. 208(C).
    18. Cheema, Muhammad A. & Chiah, Mardy & Man, Yimei, 2022. "Overnight returns, daytime reversals, and future stock returns: Is China different?," Pacific-Basin Finance Journal, Elsevier, vol. 74(C).
    19. Jang, Hyeonung & Seo, Byoung Ki, 2022. "Transmission of central bank communication to emerging economies: Evidence from the Korean stock market," Emerging Markets Review, Elsevier, vol. 52(C).
    20. Akbas, Ferhat & Boehmer, Ekkehart & Jiang, Chao & Koch, Paul D., 2022. "Overnight returns, daytime reversals, and future stock returns," Journal of Financial Economics, Elsevier, vol. 145(3), pages 850-875.
    21. Saadon, Yossi & Schreiber, Ben Z., 2023. "Newspapers tone and the overnight-intraday stock return anomaly," Journal of Financial Markets, Elsevier, vol. 65(C).
    22. Insana, Alessandra, 2022. "Does systematic risk change when markets close? An analysis using stocks’ beta," Economic Modelling, Elsevier, vol. 109(C).
    23. Chan, Kam Fong & Marsh, Terry, 2021. "Asset prices, midterm elections, and political uncertainty," Journal of Financial Economics, Elsevier, vol. 141(1), pages 276-296.
    24. Cynthia M. Gong & Di Luo & Huainan Zhao, 2021. "Liquidity risk and the beta premium," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 44(4), pages 789-814, December.
    25. Barardehi, Yashar H. & Bernhardt, Dan & Da, Zhi & Mitch Warachka, Mitch, 2022. "Institutional Liquidity Demand and the Internalization of Retail Order Flow : The Tail Does Not Wag the Dog," The Warwick Economics Research Paper Series (TWERPS) 1394, University of Warwick, Department of Economics.
    26. Baltussen, Guido & Da, Zhi & Lammers, Sten & Martens, Martin, 2021. "Hedging demand and market intraday momentum," Journal of Financial Economics, Elsevier, vol. 142(1), pages 377-403.

  3. Dominik M. Rösch & Avanidhar Subrahmanyam & Mathijs A. van Dijk, 2017. "The Dynamics of Market Efficiency," The Review of Financial Studies, Society for Financial Studies, vol. 30(4), pages 1151-1187.

    Cited by:

    1. Huang, Hung-Yi & Yan, Cheng & Ho, Kung-Cheng, 2022. "Does managerial compensation influence price efficiency?," Pacific-Basin Finance Journal, Elsevier, vol. 74(C).
    2. Sattarhoff, Cristina & Gronwald, Marc, 2022. "Measuring informational efficiency of the European carbon market — A quantitative evaluation of higher order dependence," International Review of Financial Analysis, Elsevier, vol. 84(C).
    3. Polyzos, Efstathios & Wang, Fang, 2022. "Twitter and market efficiency in energy markets: Evidence using LDA clustered topic extraction," Energy Economics, Elsevier, vol. 114(C).
    4. Ding, Wenjie & Mazouz, Khelifa & Wang, Qingwei, 2021. "Volatility timing, sentiment, and the short-term profitability of VIX-based cross-sectional trading strategies," Journal of Empirical Finance, Elsevier, vol. 63(C), pages 42-56.
    5. Duan, Kun & Li, Zeming & Urquhart, Andrew & Ye, Jinqiang, 2021. "Dynamic efficiency and arbitrage potential in Bitcoin: A long-memory approach," International Review of Financial Analysis, Elsevier, vol. 75(C).
    6. Xu, Liao & Xu, Lu & Zhao, Jing & Zhao, Yang, 2020. "Information-based trading and information propagation: Evidence from the exchange traded fund market," International Review of Financial Analysis, Elsevier, vol. 70(C).
    7. 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).
    8. Li, Yiying & Ren, Xiaohang & Taghizadeh-Hesary, Farhad, 2023. "Vulnerability of sustainable markets to fossil energy shocks," Resources Policy, Elsevier, vol. 85(PB).
    9. Rösch, Dominik M. & Subrahmanyam, Avanidhar & van Dijk, Mathijs A., 2022. "Investor short-termism and real investment," Journal of Financial Markets, Elsevier, vol. 59(PB).
    10. Jasman Tuyon & Zamri Ahmad, 2021. "Dynamic risk attributes in Malaysia stock markets: Behavioural finance insights," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(4), pages 5793-5814, October.
    11. Blau, Benjamin M. & Griffith, Todd G. & Whitby, Ryan J., 2023. "Industry regulation and the comovement of stock returns," Journal of Empirical Finance, Elsevier, vol. 73(C), pages 206-219.
    12. Pu, Yingjian & Yang, Baochen, 2022. "The commodity futures' historical basis in trading strategy and portfolio investment," Energy Economics, Elsevier, vol. 105(C).
    13. Yamani, Ehab, 2021. "Foreign exchange market efficiency and the global financial crisis: Fundamental versus technical information," The Quarterly Review of Economics and Finance, Elsevier, vol. 79(C), pages 74-89.
    14. Lee, Albert J. & Chung, Kee H., 2022. "Hidden liquidity, market quality, and order submission strategies," Journal of Financial Markets, Elsevier, vol. 61(C).
    15. Ma, Tianyi & Li, Baibing & Tee, Kai-Hong, 2022. "Mispricing chasing and hedge fund returns," Journal of Empirical Finance, Elsevier, vol. 68(C), pages 34-49.
    16. Yue’e Long & Wunhong Su & Yufan Tan, 2023. "Does a Share Name Change Have an Impact on the Pricing Efficiency of the Share?," SAGE Open, , vol. 13(4), pages 21582440231, December.
    17. Jia, Xiaolan & Ruan, Xinfeng & Zhang, Jin E., 2023. "Carr and Wu’s (2020) framework in the oil ETF option market," Journal of Commodity Markets, Elsevier, vol. 31(C).
    18. David Hirshleifer & Jinfei Sheng, 2021. "Macro News and Micro News: Complements or Substitutes?," NBER Working Papers 28931, National Bureau of Economic Research, Inc.
    19. Liu, Bibo & Wang, Huijun & Yu, Jianfeng & Zhao, Shen, 2020. "Time-varying demand for lottery: Speculation ahead of earnings announcements," Journal of Financial Economics, Elsevier, vol. 138(3), pages 789-817.
    20. Dion Bongaerts & Richard Roll & Dominik Rösch & Mathijs van Dijk & Darya Yuferova, 2022. "How Do Shocks Arise and Spread Across Stock Markets? A Microstructure Perspective," Management Science, INFORMS, vol. 68(4), pages 3071-3089, April.
    21. Azzam, Islam & El-Masry, Ahmed A. & Yamani, Ehab, 2023. "Foreign exchange market efficiency during COVID-19 pandemic," International Review of Economics & Finance, Elsevier, vol. 86(C), pages 717-730.
    22. Xu, Liao & Zhang, Xuan & Zhao, Jing, 2023. "Limited investor attention and biased reactions to information: Evidence from the COVID-19 pandemic," Journal of Financial Markets, Elsevier, vol. 62(C).
    23. Bianchi, Robert J. & Fan, John Hua & Miffre, Joëlle & Zhang, Tingxi, 2023. "Exploiting the dynamics of commodity futures curves," Journal of Banking & Finance, Elsevier, vol. 154(C).
    24. Levich, Richard & Conlon, Thomas & Potì, Valerio, 2019. "Measuring excess-predictability of asset returns and market efficiency over time," Economics Letters, Elsevier, vol. 175(C), pages 92-96.
    25. Rösch, Dominik, 2021. "The impact of arbitrage on market liquidity," Journal of Financial Economics, Elsevier, vol. 142(1), pages 195-213.
    26. Ammy-Driss, Ayoub & Garcin, Matthieu, 2023. "Efficiency of the financial markets during the COVID-19 crisis: Time-varying parameters of fractional stable dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 609(C).
    27. Thanh Huong Nguyen, 2019. "Information and Noise in Stock Markets: Evidence on the Determinants and Effects Using New Empirical Measures," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 7-2019.
    28. Liao Xu & Xiangkang Yin & Jing Zhao, 2022. "Are the flows of exchange‐traded funds informative?," Financial Management, Financial Management Association International, vol. 51(4), pages 1165-1200, December.
    29. Xu, Liao & Yin, Xiangkang & Zhao, Jing, 2019. "The sidedness and informativeness of ETF trading and the market efficiency of their underlying indexes," Pacific-Basin Finance Journal, Elsevier, vol. 58(C).
    30. Choi, Jungjun & Yang, Xiye, 2022. "Asymptotic properties of correlation-based principal component analysis," Journal of Econometrics, Elsevier, vol. 229(1), pages 1-18.
    31. Lauter, Tobias & Prokopczuk, Marcel, 2022. "Measuring commodity market quality," Journal of Banking & Finance, Elsevier, vol. 145(C).
    32. Chiou, Calvin J. & Zhou, Xiaozhou & Chan, Chang, 2022. "A taxonomy of individual liquidity provision: Evidence from the Taiwan stock exchange," Finance Research Letters, Elsevier, vol. 50(C).
    33. Xu, Liao & Xue, Mingqi & Zhang, Xuan & Zhao, Yang, 2023. "Heterogeneously informed trading and the stock market efficiency during the COVID-19 pandemic," International Review of Financial Analysis, Elsevier, vol. 87(C).

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