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Laura Tuttle

Personal Details

First Name:Laura
Middle Name:
Last Name:Tuttle
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RePEc Short-ID:ptu146
https://www.sec.gov/dera/biography/tuttle-laura
2025516544

Affiliation

Securities and Exchange Commission
Government of the United States

Washington, District of Columbia (United States)
http://www.sec.gov/
RePEc:edi:secgvus (more details at EDIRC)

Research output

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Jump to: Articles

Articles

  1. Berkman, Henk & Koch, Paul D. & Tuttle, Laura & Zhang, Ying Jenny, 2012. "Paying Attention: Overnight Returns and the Hidden Cost of Buying at the Open," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 47(4), pages 715-741, August.

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. Berkman, Henk & Koch, Paul D. & Tuttle, Laura & Zhang, Ying Jenny, 2012. "Paying Attention: Overnight Returns and the Hidden Cost of Buying at the Open," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 47(4), pages 715-741, August.

    Cited by:

    1. Aytekin Ertan & Stephen A. Karolyi & Peter W. Kelly & Robert Stoumbos, 2022. "Earnings announcement return extrapolation," Review of Accounting Studies, Springer, vol. 27(1), pages 185-230, March.
    2. Xiong, Xiong & Meng, Yongqiang & Li, Xiao & Shen, Dehua, 2020. "Can overnight return really serve as a proxy for firm-specific investor sentiment? Cross-country evidence," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 64(C).
    3. Jieting Chen & Yuichiro Kawaguchi, 2018. "A Revisit of the Cross-Section of Overnight and Intraday Abnormal Returns: Evidence from the Japanese REIT Market," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 10(1), pages 46-63, January.
    4. Chen, Jian & Jiang, Fuwei & Liu, Yangshu & Tu, Jun, 2017. "International volatility risk and Chinese stock return predictability," Journal of International Money and Finance, Elsevier, vol. 70(C), pages 183-203.
    5. Lyócsa, Štefan & Todorova, Neda, 2020. "Trading and non-trading period realized market volatility: Does it matter for forecasting the volatility of US stocks?," International Journal of Forecasting, Elsevier, vol. 36(2), pages 628-645.
    6. Guglielmo Maria Caporale & Alex Plastun, 2020. "Abnormal Returns and Stock Price Movements: Some Evidence from Developed and Emerging Markets," CESifo Working Paper Series 8783, CESifo.
    7. Laurence E. Blose & Vijay Gondhalekar & Alan Kort, 2018. "Overnight versus day returns in gold and gold related assets," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 42(3), pages 526-549, July.
    8. Jiacui Li, 2022. "What Drives the Size and Value Factors? [Connected stocks]," The Review of Asset Pricing Studies, Oxford University Press, vol. 12(4), pages 845-885.
    9. Linton, Oliver & Wu, Jianbin, 2020. "A coupled component DCS-EGARCH model for intraday and overnight volatility," Journal of Econometrics, Elsevier, vol. 217(1), pages 176-201.
    10. Rodriguez, E. & Aguilar-Cornejo, M. & Femat, R. & Alvarez-Ramirez, J., 2014. "US stock market efficiency over weekly, monthly, quarterly and yearly time scales," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 413(C), pages 554-564.
    11. Tim Bollerslev & Sophia Zhengzi Li & Viktor Todorov, 2014. "Roughing up Beta: Continuous vs. Discontinuous Betas, and the Cross-Section of Expected Stock Returns," CREATES Research Papers 2014-48, Department of Economics and Business Economics, Aarhus University.
    12. Mohrschladt, Hannes & Langer, Thomas, 2020. "Biased information weight processing in stock markets," Journal of Empirical Finance, Elsevier, vol. 57(C), pages 89-106.
    13. Linton, O. & Wu, J., 2016. "A coupled component GARCH model for intraday and overnight volatility," Cambridge Working Papers in Economics 1671, Faculty of Economics, University of Cambridge.
    14. Anne Opschoor & André Lucas, 2019. "Observation-driven Models for Realized Variances and Overnight Returns," Tinbergen Institute Discussion Papers 19-052/IV, Tinbergen Institute.
    15. Gao, Ya & Han, Xing & Li, Youwei & Xiong, Xiong, 2021. "Investor heterogeneity and momentum-based trading strategies in China," International Review of Financial Analysis, Elsevier, vol. 74(C).
    16. Kelley Bergsma & Andy Fodor & Vijay Singal & Jitendra Tayal, 2020. "Option trading after the opening bell and intraday stock return predictability," Financial Management, Financial Management Association International, vol. 49(3), pages 769-804, September.
    17. De Gooijer, J. & Diks, C.G.H. & Gatarek, L., 2009. "Information Flows Around the Globe: Predicting Opening Gaps from Overnight Foreign Stock Price Patterns," CeNDEF Working Papers 09-13, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    18. 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.
    19. Kim, Byungoh & Suh, Sangwon, 2021. "Overnight stock returns, intraday returns, and firm-specific investor sentiment," The North American Journal of Economics and Finance, Elsevier, vol. 55(C).
    20. Jian, Zhihong & Li, Xupei & Zhu, Zhican, 2020. "Sequential forecasting of downside extreme risk during overnight and daytime: Evidence from the Chinese Stock Market☆," Pacific-Basin Finance Journal, Elsevier, vol. 64(C).
    21. Bollerslev, Tim & Li, Sophia Zhengzi & Todorov, Viktor, 2016. "Roughing up beta: Continuous versus discontinuous betas and the cross section of expected stock returns," Journal of Financial Economics, Elsevier, vol. 120(3), pages 464-490.
    22. Guglielmo Maria Caporale & Alex Plastun, 2021. "Gold and oil prices: abnormal returns, momentum and contrarian effects," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 35(3), pages 353-368, September.
    23. Guomei Tang & Xueyong Zhang, 2021. "Media attention to locations and the cross‐section of stock returns," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(S1), pages 2301-2336, April.
    24. Joao Dionisio Monteiro & Jose Luis Miralles-Quiros & Jose Ramos Pires Manso, 2018. "Is There Seasonality in Traded and Non-Traded Period Returns in the US Equity Market? A Multiple Structural Change Approach," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 68(1), pages 71-98, February.
    25. Yun‐Huan Lee & Tzu‐Hsiang Liao & Hsiu‐Chuan Lee, 2022. "Overnight returns of industry exchange‐traded funds, investor sentiment, and futures market returns," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(6), pages 1114-1134, June.
    26. Alex YiHou Huang & Ming-Che Hu & Quang Thai Truong, 2021. "Asymmetrical impacts from overnight returns on stock returns," Review of Quantitative Finance and Accounting, Springer, vol. 56(3), pages 849-889, April.
    27. Bellia, Mario & Pelizzon, Loriana & Subrahmanyam, Marti G. & Uno, Jun & Yuferova, Darya, 2017. "Low-latency trading and price discovery: Evidence from the Tokyo Stock Exchange in the pre-opening and opening periods," SAFE Working Paper Series 144, Leibniz Institute for Financial Research SAFE.
    28. Ikhlaas Gurrib & Firuz Kamalov & Elgilani E. Alshareif, 2022. "High Frequency Return and Risk Patterns in U.S. Sector ETFs during COVID-19," International Journal of Energy Economics and Policy, Econjournals, vol. 12(5), pages 441-456, September.
    29. Qian Chen & Xiang Gao & Gangchen Liu, 2021. "Limited Attention and Post-Earnings Announcement Drift: Evidence from China’s Stock Market," International Journal of Economics and Financial Issues, Econjournals, vol. 11(1), pages 1-17.
    30. Qiao, Kenan & Dam, Lammertjan, 2020. "The overnight return puzzle and the “T+1” trading rule in Chinese stock markets," Journal of Financial Markets, Elsevier, vol. 50(C).
    31. Qadan, Mahmoud & Jacob, Maram, 2022. "The value premium and investors' appetite for risk," International Review of Economics & Finance, Elsevier, vol. 82(C), pages 194-219.
    32. Bogousslavsky, Vincent, 2021. "The cross-section of intraday and overnight returns," Journal of Financial Economics, Elsevier, vol. 141(1), pages 172-194.
    33. 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).
    34. Shantaram Hegde & Tingyu Zhou, 2019. "Predicting Accounting Misconduct: The Role of Firm-Level Investor Optimism," Journal of Business Ethics, Springer, vol. 160(2), pages 535-562, December.
    35. Cheng, Feiyang & Wang, Chunfeng & Chiao, Chaoshin & Yao, Shouyu & Fang, Zhenming, 2021. "Retail attention, retail trades, and stock price crash risk," Emerging Markets Review, Elsevier, vol. 49(C).
    36. 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).
    37. Xiao, Xijuan & Yamamoto, Ryuichi, 2020. "Price discovery, order submission, and tick size during preopen period," Pacific-Basin Finance Journal, Elsevier, vol. 63(C).
    38. Truong, Quang-Thai & Tran, Quynh-Nhu & Bakry, Walid & Nguyen, Duc Nguyen & Al-Mohamad, Somar, 2021. "Football sentiment and stock market returns: Evidence from a frontier market," Journal of Behavioral and Experimental Finance, Elsevier, vol. 30(C).
    39. Zhang, Bing, 2020. "T+1 trading mechanism causes negative overnight return," Economic Modelling, Elsevier, vol. 89(C), pages 55-71.
    40. Todorova, Neda, 2017. "The intraday directional predictability of large Australian stocks: A cross-quantilogram analysis," Economic Modelling, Elsevier, vol. 64(C), pages 221-230.
    41. Li, Yan & Li, Weiping, 2021. "Firm-specific investor sentiment for the Chinese stock market," Economic Modelling, Elsevier, vol. 97(C), pages 231-246.
    42. Rui Fan & Oleksandr Talavera & Vu Tran, 2020. "Social media and price discovery: the case of cross-listed firms," Discussion Papers 20-05, Department of Economics, University of Birmingham.
    43. 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.
    44. Semenov, Andrei, 2015. "The small-cap effect in the predictability of individual stock returns," International Review of Economics & Finance, Elsevier, vol. 38(C), pages 178-197.
    45. Xiong, Xiong & Meng, Yongqiang & Joseph, Nathan Lael & Shen, Dehua, 2020. "Stock mispricing, hard-to-value stocks and the influence of internet stock message boards," International Review of Financial Analysis, Elsevier, vol. 72(C).
    46. Lachance, Marie-Eve, 2021. "ETFs’ high overnight returns: The early liquidity provider gets the worm," Journal of Financial Markets, Elsevier, vol. 52(C).
    47. Gajurel, Dinesh & Chowdhury, Biplob, 2020. "Realized volatility, jump and beta: evidence from Canadian stock market," Working Papers 2020-11, University of Tasmania, Tasmanian School of Business and Economics.
    48. Opschoor, Anne & Lucas, André, 2021. "Observation-driven models for realized variances and overnight returns applied to Value-at-Risk and Expected Shortfall forecasting," International Journal of Forecasting, Elsevier, vol. 37(2), pages 622-633.
    49. Kusen, Alex & Rudolf, Markus, 2019. "Feedback trading: Strategies during day and night with global interconnectedness," Research in International Business and Finance, Elsevier, vol. 48(C), pages 438-463.
    50. Wang, Ping & Han, Wei & Huang, Chengcheng & Duong, Duy, 2022. "Forecasting realised volatility from search volume and overnight sentiment: Evidence from China," Research in International Business and Finance, Elsevier, vol. 62(C).
    51. Liu, Qingfu & Tse, Yiuman, 2017. "Overnight returns of stock indexes: Evidence from ETFs and futures," International Review of Economics & Finance, Elsevier, vol. 48(C), pages 440-451.
    52. Insana, Alessandra, 2022. "Does systematic risk change when markets close? An analysis using stocks’ beta," Economic Modelling, Elsevier, vol. 109(C).
    53. Patrizia Perras & Niklas Wagner, 2020. "On the pricing of overnight market risk," Empirical Economics, Springer, vol. 59(3), pages 1307-1327, September.
    54. Mosi Rosenboim & Yossi Saadon & Ben Z. Schreiber, 2018. "“Much Ado about Nothing”? The Effect of Print Media Tone on Stock Indices," Bank of Israel Working Papers 2018.10, Bank of Israel.
    55. Markus Pelger, 2020. "Understanding Systematic Risk: A High‐Frequency Approach," Journal of Finance, American Finance Association, vol. 75(4), pages 2179-2220, August.
    56. Dinesh Gajurel & Biplob Chowdhury, 2021. "Realized Volatility, Jump and Beta: evidence from Canadian Stock Market," Applied Economics, Taylor & Francis Journals, vol. 53(55), pages 6376-6397, November.
    57. Zhou, Xuemei & Liu, Qiang & Guo, Shuxin, 2021. "Do overnight returns explain firm-specific investor sentiment in China?," International Review of Economics & Finance, Elsevier, vol. 76(C), pages 451-477.
    58. Rongsheng Shi & Zhi Xu & Zhengrong Chen & Jing Huang, 2012. "Does attention affect individual investors' investment return?," China Finance Review International, Emerald Group Publishing, vol. 2(2), pages 143-162, April.
    59. 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.
    60. Sun, Licheng & Najand, Mohammad & Shen, Jiancheng, 2016. "Stock return predictability and investor sentiment: A high-frequency perspective," Journal of Banking & Finance, Elsevier, vol. 73(C), pages 147-164.

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