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Todd Gardner Griffith

Personal Details

First Name:Todd
Middle Name:Gardner
Last Name:Griffith
Suffix:
RePEc Short-ID:pgr687
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Affiliation

Department of Economics and Finance
Jon M. Huntsman School of Business
Utah State University

Logan, Utah (United States)
https://huntsman.usu.edu/economicsandfinance/index
RePEc:edi:deusuus (more details at EDIRC)

Research output

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Jump to: Articles

Articles

  1. Battalio, Robert & Griffith, Todd & Van Ness, Robert, 2021. "Do (Should) Brokers Route Limit Orders to Options Exchanges That Purchase Order Flow?," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 56(1), pages 183-211, February.
  2. Benjamin Blau & Todd Griffith & Ryan Whitby, 2020. "Comovement in the Cryptocurrency Market," Economics Bulletin, AccessEcon, vol. 40(1), pages 448-455.
  3. Griffith, Todd & Roseman, Brian & Shang, Danjue, 2020. "The effects of an increase in equity tick size on stock and option transaction costs," Journal of Banking & Finance, Elsevier, vol. 114(C).
  4. Benjamin M. Blau & Todd G. Griffith & Ryan J. Whitby, 2020. "Opacity and the comovement in the stock prices of banks," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 60(4), pages 3557-3580, December.
  5. Benjamin M. Blau & Todd G. Griffith & Ryan J. Whitby, 2019. "Information in stock prices: the case of the 2016 U.S. presidential election," Applied Economics, Taylor & Francis Journals, vol. 51(40), pages 4385-4396, August.
  6. Griffith, Todd G. & Roseman, Brian S., 2019. "Making cents of tick sizes: The effect of the 2016 U.S. SEC tick size pilot on limit order book liquidity," Journal of Banking & Finance, Elsevier, vol. 101(C), pages 104-121.
  7. Justin S. Cox & Todd G. Griffith, 2019. "When Elections Fail To Resolve Uncertainty: The Case Of The 2016 U.S. Presidential Election," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 42(4), pages 735-756, December.
  8. Blau, Benjamin M. & Griffith, Todd G. & Whitby, Ryan J., 2018. "The maximum bid-ask spread," Journal of Financial Markets, Elsevier, vol. 41(C), pages 1-16.
  9. Blau, Benjamin M. & Brough, Tyler J. & Griffith, Todd G., 2017. "Bank opacity and the efficiency of stock prices," Journal of Banking & Finance, Elsevier, vol. 76(C), pages 32-47.
  10. Travis Box & Todd Griffith, 2016. "Price Clustering Asymmetries in Limit Order Flows," Financial Management, Financial Management Association International, vol. 45(4), pages 1041-1066, December.
  11. Blau, Benjamin M. & Griffith, Todd G., 2016. "Price clustering and the stability of stock prices," Journal of Business Research, Elsevier, vol. 69(10), pages 3933-3942.

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. Benjamin Blau & Todd Griffith & Ryan Whitby, 2020. "Comovement in the Cryptocurrency Market," Economics Bulletin, AccessEcon, vol. 40(1), pages 448-455.

    Cited by:

    1. Ata Assaf & Luis Alberiko Gil-Alana & Khaled Mokni, 2022. "True or spurious long memory in the cryptocurrency markets: evidence from a multivariate test and other Whittle estimation methods," Empirical Economics, Springer, vol. 63(3), pages 1543-1570, September.
    2. Figà-Talamanca, Gianna & Focardi, Sergio & Patacca, Marco, 2021. "Regime switches and commonalities of the cryptocurrencies asset class," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
    3. Disli, Mustafa & Abd Rabbo, Fatima & Leneeuw, Thibault & Nagayev, Ruslan, 2022. "Cryptocurrency comovements and crypto exchange movement: The relocation of Binance," Finance Research Letters, Elsevier, vol. 48(C).
    4. Blau, Benjamin M. & Griffith, Todd G. & Whitby, Ryan J., 2021. "Inflation and Bitcoin: A descriptive time-series analysis," Economics Letters, Elsevier, vol. 203(C).
    5. Alessandra Cretarola & Gianna Figà-Talamanca & Cyril Grunspan, 2021. "Blockchain and cryptocurrencies: economic and financial research," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 44(2), pages 781-787, December.
    6. Gianna Figá-Talamanca & Sergio Focardi & Marco Patacca, 2021. "Common dynamic factors for cryptocurrencies and multiple pair-trading statistical arbitrages," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 44(2), pages 863-882, December.
    7. Jie Cheng, 2023. "Modelling and forecasting risk dependence and portfolio VaR for cryptocurrencies," Empirical Economics, Springer, vol. 65(2), pages 899-924, August.
    8. Assaf, Ata & Bilgin, Mehmet Huseyin & Demir, Ender, 2022. "Using transfer entropy to measure information flows between cryptocurrencies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 586(C).

  2. Griffith, Todd & Roseman, Brian & Shang, Danjue, 2020. "The effects of an increase in equity tick size on stock and option transaction costs," Journal of Banking & Finance, Elsevier, vol. 114(C).

    Cited by:

    1. Clancey-Shang, Danjue, 2023. "COVID lockdown, Robinhood traders, and liquidity in stock and option markets," International Review of Financial Analysis, Elsevier, vol. 90(C).
    2. Clancey-Shang, Danjue & Fu, Chengbo, 2024. "CSR disclosure, political risk and market quality: Evidence from the Russia-Ukraine conflict," Global Finance Journal, Elsevier, vol. 60(C).
    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. Zhenyu Cui & Majeed Simaan, 2021. "The opportunity cost of hedging under incomplete information: Evidence from ETF/Ns," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(11), pages 1775-1796, November.

  3. Benjamin M. Blau & Todd G. Griffith & Ryan J. Whitby, 2020. "Opacity and the comovement in the stock prices of banks," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 60(4), pages 3557-3580, December.

    Cited by:

    1. Mies, Michael, 2024. "Bank opacity, systemic risk and financial stability," Journal of Financial Stability, Elsevier, vol. 70(C).

  4. Benjamin M. Blau & Todd G. Griffith & Ryan J. Whitby, 2019. "Information in stock prices: the case of the 2016 U.S. presidential election," Applied Economics, Taylor & Francis Journals, vol. 51(40), pages 4385-4396, August.

    Cited by:

    1. Delia DiaconaÅŸu & Seyed Mehdian & Ovidiu Stoica, 2023. "The Global Stock Market Reactions to the 2016 U.S. Presidential Election," SAGE Open, , vol. 13(2), pages 21582440231, June.
    2. Narayan, Shivani & Kumar, Dilip & Bouri, Elie, 2023. "Systemically important financial institutions and drivers of systemic risk: Evidence from India," Pacific-Basin Finance Journal, Elsevier, vol. 82(C).

  5. Griffith, Todd G. & Roseman, Brian S., 2019. "Making cents of tick sizes: The effect of the 2016 U.S. SEC tick size pilot on limit order book liquidity," Journal of Banking & Finance, Elsevier, vol. 101(C), pages 104-121.

    Cited by:

    1. 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).
    2. Robert P. Bartlett & Justin McCrary, 2020. "Subsidizing Liquidity with Wider Ticks: Evidence from the Tick Size Pilot Study," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 17(2), pages 262-316, June.
    3. Ee, Mong Shan & Hasan, Iftekhar & Huang, He, 2022. "Stock liquidity and corporate labor investment," Journal of Corporate Finance, Elsevier, vol. 72(C).
    4. Ahmed Baig & Benjamin M. Blau & Todd G. Griffith, 2021. "Firm Opacity and the Clustering of Stock Prices: the Case of Financial Intermediaries," Journal of Financial Services Research, Springer;Western Finance Association, vol. 60(2), pages 187-206, December.
    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. Griffith, Todd & Roseman, Brian & Shang, Danjue, 2020. "The effects of an increase in equity tick size on stock and option transaction costs," Journal of Banking & Finance, Elsevier, vol. 114(C).
    7. O’Sullivan, Conall & Papavassiliou, Vassilios G. & Wafula, Ronald Wekesa & Boubaker, Sabri, 2024. "New insights into liquidity resiliency," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 90(C).
    8. Zheng, Jiayi & Zhu, Yushu, 2023. "Algorithmic trading and block ownership initiation: An information perspective," The British Accounting Review, Elsevier, vol. 55(4).
    9. Said, Bahrawar & Raza, Muhammad Wajid & Elshahat, Ahmed, 2024. "Does market microstructure affect time-varying efficiency? Evidence from emerging markets," Research in International Business and Finance, Elsevier, vol. 70(PA).
    10. 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).
    11. Suchismita Mishra & Le Zhao, 2021. "Order Routing Decisions for a Fragmented Market: A Review," JRFM, MDPI, vol. 14(11), pages 1-32, November.
    12. Li, Dan & Xia, Ying, 2021. "Gauging the effects of stock liquidity on earnings management: Evidence from the SEC tick size pilot test," Journal of Corporate Finance, Elsevier, vol. 67(C).
    13. 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.
    14. 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.
    15. Xiao, Xijuan & Yamamoto, Ryuichi, 2020. "Price discovery, order submission, and tick size during preopen period," Pacific-Basin Finance Journal, Elsevier, vol. 63(C).
    16. 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.
    17. Xinhui Yang & Jie Zhang & Qing Ye, 2020. "Tick size and market quality: Simulations based on agent‐based artificial stock markets," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 27(3), pages 125-141, July.
    18. 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).
    19. Xiao, Xijuan & Yamamoto, Ryuichi, 2024. "Realized volatility, price informativeness, and tick size: A market microstructure approach," International Review of Economics & Finance, Elsevier, vol. 89(PA), pages 410-426.
    20. Deng, Mengdie & Lin, Tse-Chun & Zhou, Jiayu, 2024. "Does better liquidity for large orders attract institutional investors and analysts? Evidence from the Tick Size Pilot Program," Journal of Financial Markets, Elsevier, vol. 67(C).
    21. 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.
    22. 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.

  6. Justin S. Cox & Todd G. Griffith, 2019. "When Elections Fail To Resolve Uncertainty: The Case Of The 2016 U.S. Presidential Election," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 42(4), pages 735-756, December.

    Cited by:

    1. Ahmed, Walid M.A., 2022. "On the higher-order moment interdependence of stock and commodity markets: A wavelet coherence analysis," The Quarterly Review of Economics and Finance, Elsevier, vol. 83(C), pages 135-151.
    2. Cui, Jinxin & Alshater, Muneer M. & Mensi, Walid, 2023. "Higher-order moment risk spillovers and optimal portfolio strategies in global oil markets," Resources Policy, Elsevier, vol. 86(PA).
    3. Delia DiaconaÅŸu & Seyed Mehdian & Ovidiu Stoica, 2023. "The Global Stock Market Reactions to the 2016 U.S. Presidential Election," SAGE Open, , vol. 13(2), pages 21582440231, June.
    4. Cui, Jinxin & Maghyereh, Aktham, 2023. "Time-frequency dependence and connectedness among global oil markets: Fresh evidence from higher-order moment perspective," Journal of Commodity Markets, Elsevier, vol. 30(C).
    5. Cui, Jinxin & Maghyereh, Aktham, 2024. "Unveiling interconnectedness: Exploring higher-order moments among energy, precious metals, industrial metals, and agricultural commodities in the context of geopolitical risks and systemic stress," Journal of Commodity Markets, Elsevier, vol. 33(C).
    6. Cui, Jinxin & Maghyereh, Aktham, 2024. "Higher-order moment risk spillovers across various financial and commodity markets: Insights from the Israeli–Palestinian conflict," Finance Research Letters, Elsevier, vol. 59(C).
    7. Cui, Jinxin & Maghyereh, Aktham, 2023. "Higher-order moment risk connectedness and optimal investment strategies between international oil and commodity futures markets: Insights from the COVID-19 pandemic and Russia-Ukraine conflict," International Review of Financial Analysis, Elsevier, vol. 86(C).

  7. Blau, Benjamin M. & Griffith, Todd G. & Whitby, Ryan J., 2018. "The maximum bid-ask spread," Journal of Financial Markets, Elsevier, vol. 41(C), pages 1-16.

    Cited by:

    1. Smail Tigani & Hasna Chaibi & Rachid Saadane, 2019. "Gaussian Mixture and Kernel Density-Based Hybrid Model for Volatility Behavior Extraction From Public Financial Data," Data, MDPI, vol. 4(1), pages 1-11, January.
    2. 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).
    3. Tarunika Jain Agrawal & Sanjay Sehgal & Vibhuti Vasishth, 2020. "Firm Attributes, Corporate Fundamentals and Investment Strategies: An Empirical Study for Indian Stock Market," Management and Labour Studies, XLRI Jamshedpur, School of Business Management & Human Resources, vol. 45(3), pages 366-387, August.

  8. Blau, Benjamin M. & Brough, Tyler J. & Griffith, Todd G., 2017. "Bank opacity and the efficiency of stock prices," Journal of Banking & Finance, Elsevier, vol. 76(C), pages 32-47.

    Cited by:

    1. Fosu, Samuel & Ntim, Collins G. & Coffie, William & Murinde, Victor, 2017. "Bank opacity and risk-taking: Evidence from analysts’ forecasts," Journal of Financial Stability, Elsevier, vol. 33(C), pages 81-95.
    2. Kladakis, George & Chen, Lei & Bellos, Sotirios K., 2020. "Bank asset and informational quality," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 69(C).
    3. Abedifar, Pejman & Bouslah, Kais & Qamhieh Hashem, Shatha & Song, Liang, 2020. "How informative are stock prices of Islamic Banks?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 66(C).
    4. Mittal, Amit & Garg, Ajay Kumar, 2021. "Bank stocks inform higher growth—A System GMM analysis of ten emerging markets in Asia," The Quarterly Review of Economics and Finance, Elsevier, vol. 79(C), pages 210-220.
    5. Zhang, Jitao & Yang, Yongliang, 2023. "Can environmental disclosure improve price efficiency? The perspective of price delay," Finance Research Letters, Elsevier, vol. 52(C).
    6. Fosu, Samuel & Danso, Albert & Agyei-Boapeah, Henry & Ntim, Collins G. & Murinde, Victor, 2018. "How does banking market power affect bank opacity? Evidence from analysts' forecasts," International Review of Financial Analysis, Elsevier, vol. 60(C), pages 38-52.
    7. Van dan Dang, 2022. "Financial reporting and bank development: Evidence from Vietnam," Economics Bulletin, AccessEcon, vol. 42(3), pages 1688-1705.
    8. Flood, Mark D. & Kenett, Dror Y. & Lumsdaine, Robin L. & Simon, Jonathan K., 2020. "The Complexity of Bank Holding Companies: A Topological Approach," Journal of Banking & Finance, Elsevier, vol. 118(C).
    9. Ahmed Baig & Benjamin M. Blau & Todd G. Griffith, 2021. "Firm Opacity and the Clustering of Stock Prices: the Case of Financial Intermediaries," Journal of Financial Services Research, Springer;Western Finance Association, vol. 60(2), pages 187-206, December.
    10. Flávia Januzzi & Aureliano Bressan & Fernando Moreira, 2020. "Opacity, Risk, Performance and Inflows in Hedge Funds," RAC - Revista de Administração Contemporânea (Journal of Contemporary Administration), ANPAD - Associação Nacional de Pós-Graduação e Pesquisa em Administração, vol. 24(1), pages 77-99.
    11. Haufler, Andreas & Maier, Ulf, 2019. "Regulatory competition in capital standards: a 'race to the top' result," Munich Reprints in Economics 78224, University of Munich, Department of Economics.
    12. Yusuf Aina SOYEBO & Russell Olukayode C. SOMOYE, 2019. "Financial Intermediation and Stock Prices of Deposit Money Banks (DMBS) in Nigeria: a Panel Cointegration Approach," Economics and Applied Informatics, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, issue 1, pages 20-27.
    13. Benoit d’Udekem, 2021. "Agency Conflicts and Dividend Persistence," Journal of Financial Services Research, Springer;Western Finance Association, vol. 60(2), pages 207-234, December.
    14. Cristina Zeldea, 2020. "Modeling the Connection between Bank Systemic Risk and Balance-Sheet Liquidity Proxies through Random Forest Regressions," Administrative Sciences, MDPI, vol. 10(3), pages 1-14, August.
    15. Mittal, Amit & Garg, Ajay Kumar, 2018. "Bank stocks inform higher growth – A System GMM analysis of ten emerging markets in Asia," MPRA Paper 98253, University Library of Munich, Germany.
    16. Forte, Gianfranco & Gianfrate, Gianfranco & Rossi, Emanuele, 2020. "Does relative valuation work for banks?," Global Finance Journal, Elsevier, vol. 44(C).
    17. Katsafados, Apostolos G. & Leledakis, George N. & Pyrgiotakis, Emmanouil G. & Androutsopoulos, Ion & Fergadiotis, Manos, 2024. "Machine learning in bank merger prediction: A text-based approach," European Journal of Operational Research, Elsevier, vol. 312(2), pages 783-797.
    18. Abedifar, Pejman & Bouslah, Kais & Zheng, Yeliangzi, 2021. "Stock price synchronicity and price informativeness: Evidence from a regulatory change in the U.S. banking industry," Finance Research Letters, Elsevier, vol. 40(C).
    19. Wen, Huiyu & Wang, Hui & Zhao, Danni & Gao, Haoyu, 2024. "Does high-speed rail boost local bank performance? Evidence from China," International Review of Economics & Finance, Elsevier, vol. 93(PB), pages 641-658.
    20. Sharif Mazumder & Louis R. Piccotti, 2023. "Systemic Risk: Bank Characteristics Matter," Journal of Financial Services Research, Springer;Western Finance Association, vol. 64(2), pages 265-301, October.
    21. Le, Anh-Tuan & Doan, Anh-Tuan & Lin, Kun-Li, 2024. "CEO overconfidence and the informativeness of bank stock prices," International Review of Financial Analysis, Elsevier, vol. 94(C).

  9. Travis Box & Todd Griffith, 2016. "Price Clustering Asymmetries in Limit Order Flows," Financial Management, Financial Management Association International, vol. 45(4), pages 1041-1066, December.

    Cited by:

    1. Mishra, Ajay Kumar & Tripathy, Trilochan, 2018. "Price and trade size clustering: Evidence from the national stock exchange of India," The Quarterly Review of Economics and Finance, Elsevier, vol. 68(C), pages 63-72.
    2. Vladim'ir Hol'y & Petra Tomanov'a, 2021. "Modeling Price Clustering in High-Frequency Prices," Papers 2102.12112, arXiv.org, revised Mar 2021.

  10. Blau, Benjamin M. & Griffith, Todd G., 2016. "Price clustering and the stability of stock prices," Journal of Business Research, Elsevier, vol. 69(10), pages 3933-3942.

    Cited by:

    1. Ahmed Baig & Nasim Sabah & Drew Winters, 2019. "Have Stock Prices become more Uniformly Distributed?," Economics Bulletin, AccessEcon, vol. 39(2), pages 1242-1250.
    2. Davidson Heath & Matthew Ringgenberg & Mehrdad Samadi & Ingrid M. Werner, 2022. "Reusing Natural Experiments," International Finance Discussion Papers 1339, Board of Governors of the Federal Reserve System (U.S.).
    3. Frantisek Darena & Jonas Petrovsky & Jan Zizka & Jan Prichystal, 2016. "Analyzing the correlation between online texts and stock price movements at micro-level using machine learning," MENDELU Working Papers in Business and Economics 2016-67, Mendel University in Brno, Faculty of Business and Economics.
    4. František Dařena & Jan Přichystal, 2018. "Analysis of the Association between Topics in Online Documents and Stock Price Movements," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 66(6), pages 1431-1439.
    5. Ahmed Baig & Benjamin M. Blau & Todd G. Griffith, 2021. "Firm Opacity and the Clustering of Stock Prices: the Case of Financial Intermediaries," Journal of Financial Services Research, Springer;Western Finance Association, vol. 60(2), pages 187-206, December.
    6. Donglian Ma & Hisashi Tanizaki, 2022. "Intraday patterns of price clustering in Bitcoin," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-25, December.
    7. Ozcan, Timucin & Hair, Michael & Gunasti, Kunter, 2024. "How reaching numerical roundness on subgoals affects the completion of superordinate goals," Journal of Business Research, Elsevier, vol. 177(C).
    8. Liu, Shasha & Zhao, Huixian & Kong, Gaowen, 2023. "Enterprise digital transformation, breadth of ownership and stock price volatility," International Review of Financial Analysis, Elsevier, vol. 89(C).
    9. Baig, Ahmed S. & Sabah, Nasim, 2020. "Does short selling affect the clustering of stock prices?," The Quarterly Review of Economics and Finance, Elsevier, vol. 76(C), pages 270-277.
    10. Chen, Fu & Huang, Zhi-xiong & Wang, Fang & Xie, Zongyu, 2022. "Can corporate social responsibility disclosure alleviate asset price volatility? Evidence from China," Economic Modelling, Elsevier, vol. 116(C).
    11. Chen, Tao, 2018. "Round-number biases and informed trading in global markets," Journal of Business Research, Elsevier, vol. 92(C), pages 105-117.
    12. Baig , Ahmed & Blau , Ben & Hao, Jie, 2020. "Accounting Information Quality and the Clustering of Stock Prices," American Business Review, Pompea College of Business, University of New Haven, vol. 23(2), pages 182-210, November.
    13. Dyl, Edward A. & Yuksel, H. Zafer & Zaynutdinova, Gulnara R., 2019. "Price reversals and price continuations following large price movements," Journal of Business Research, Elsevier, vol. 95(C), pages 1-12.
    14. Mishra, Ajay Kumar & Tripathy, Trilochan, 2018. "Price and trade size clustering: Evidence from the national stock exchange of India," The Quarterly Review of Economics and Finance, Elsevier, vol. 68(C), pages 63-72.
    15. Vladim'ir Hol'y & Petra Tomanov'a, 2021. "Modeling Price Clustering in High-Frequency Prices," Papers 2102.12112, arXiv.org, revised Mar 2021.
    16. Ahmed S. Baig & Benjamin M. Blau & R. Jared DeLisle, 2022. "Does mutual fund ownership reduce stock price clustering? Evidence from active and index funds," Review of Quantitative Finance and Accounting, Springer, vol. 58(2), pages 615-647, February.
    17. Hachicha, Fatma & Masmoudi, Afif & Abid, Ilyes & Obeid, Hassan, 2023. "Herding behavior in exploring the predictability of price clustering in cryptocurrency market," Finance Research Letters, Elsevier, vol. 57(C).

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