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Todd Gardner Griffith

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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. 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.
    2. 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, 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.

  4. 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 investment11We are grateful to the editor (Heitor Almeida) and an anynmous reviewer for detailed and significant guidance and suggestions. We thank Huu Duong, Alvin," 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. Zheng, Jiayi & Zhu, Yushu, 2023. "Algorithmic trading and block ownership initiation: An information perspective," The British Accounting Review, Elsevier, vol. 55(4).
    8. 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).
    9. Suchismita Mishra & Le Zhao, 2021. "Order Routing Decisions for a Fragmented Market: A Review," JRFM, MDPI, vol. 14(11), pages 1-32, November.
    10. 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).
    11. 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.
    12. 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.
    13. Xiao, Xijuan & Yamamoto, Ryuichi, 2020. "Price discovery, order submission, and tick size during preopen period," Pacific-Basin Finance Journal, Elsevier, vol. 63(C).
    14. 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.
    15. 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.
    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. 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.
    18. 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.

  5. 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. 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.
    3. 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).
    4. 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).

  6. 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.

  7. 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. 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).
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. Forte, Gianfranco & Gianfrate, Gianfranco & Rossi, Emanuele, 2020. "Does relative valuation work for banks?," Global Finance Journal, Elsevier, vol. 44(C).
    16. 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.
    17. 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).
    18. 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.

  8. 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.

  9. 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. 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).
    8. 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.
    9. 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).
    10. Chen, Tao, 2018. "Round-number biases and informed trading in global markets," Journal of Business Research, Elsevier, vol. 92(C), pages 105-117.
    11. 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.
    12. 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.
    13. 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.
    14. Vladim'ir Hol'y & Petra Tomanov'a, 2021. "Modeling Price Clustering in High-Frequency Prices," Papers 2102.12112, arXiv.org, revised Mar 2021.
    15. 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.
    16. 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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