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S. Sarah Zhang

Personal Details

First Name:S. Sarah
Middle Name:
Last Name:Zhang
Suffix:
RePEc Short-ID:pzh513

Affiliation

Alliance Manchester Business School
University of Manchester

Manchester, United Kingdom
http://www.mbs.ac.uk/

+44 (0) 161 275 6333

Booth Street West, Manchester, M15 6PB
RePEc:edi:bsmanuk (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Hautsch, Nikolaus & Noé, Michael & Zhang, S. Sarah, 2017. "The ambivalent role of high-frequency trading in turbulent market periods," CFS Working Paper Series 580, Center for Financial Studies (CFS).

Articles

  1. Rognone, Lavinia & Hyde, Stuart & Zhang, S. Sarah, 2020. "News sentiment in the cryptocurrency market: An empirical comparison with Forex," International Review of Financial Analysis, Elsevier, vol. 69(C).
  2. S. Sarah Zhang, 2019. "Asymmetric news responses of high‐frequency and non‐high‐frequency traders," The Financial Review, Eastern Finance Association, vol. 54(3), pages 451-475, August.
  3. S. Sarah Zhang, 2018. "Need for speed: Hard information processing in a high‐frequency world," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(1), pages 3-21, January.
  4. Riordan, Ryan & Storkenmaier, Andreas & Wagener, Martin & Sarah Zhang, S., 2013. "Public information arrival: Price discovery and liquidity in electronic limit order markets," Journal of Banking & Finance, Elsevier, vol. 37(4), pages 1148-1159.

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.

Working papers

  1. Hautsch, Nikolaus & Noé, Michael & Zhang, S. Sarah, 2017. "The ambivalent role of high-frequency trading in turbulent market periods," CFS Working Paper Series 580, Center for Financial Studies (CFS).

    Cited by:

    1. Park, Seongkyu Gilbert & Ryu, Doojin, 2019. "Speed and trading behavior in an order-driven market," Pacific-Basin Finance Journal, Elsevier, vol. 53(C), pages 145-164.

Articles

  1. S. Sarah Zhang, 2018. "Need for speed: Hard information processing in a high‐frequency world," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(1), pages 3-21, January.

    Cited by:

    1. 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.
    2. Foucault, Thierry & Moinas, Sophie, 2018. "Is Trading Fast Dangerous?," TSE Working Papers 18-881, Toulouse School of Economics (TSE).
    3. Donald B. Keim & Massimo Massa & Bastian von Beschwitz, 2018. "First to "Read" the News: New Analytics and Algorithmic Trading," International Finance Discussion Papers 1233, Board of Governors of the Federal Reserve System (U.S.).
    4. Mestel, Roland & Murg, Michael & Theissen, Erik, 2018. "Algorithmic trading and liquidity: Long term evidence from Austria," Finance Research Letters, Elsevier, vol. 26(C), pages 198-203.

  2. Riordan, Ryan & Storkenmaier, Andreas & Wagener, Martin & Sarah Zhang, S., 2013. "Public information arrival: Price discovery and liquidity in electronic limit order markets," Journal of Banking & Finance, Elsevier, vol. 37(4), pages 1148-1159.

    Cited by:

    1. Adam Clements & Neda Todorova, 2014. "The impact of information flow and trading activity on gold and oil futures volatility," NCER Working Paper Series 102, National Centre for Econometric Research.
    2. Bastian von Beschwitz & Donald B Keim & Massimo Massa, 2020. "First to “Read†the News: News Analytics and Algorithmic Trading," Review of Asset Pricing Studies, Oxford University Press, vol. 10(1), pages 122-178.
    3. 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.
    4. Edward Xuejun Li & K. Ramesh & Min Shen & Joanna Shuang Wu, 2015. "Do Analyst Stock Recommendations Piggyback on Recent Corporate News? An Analysis of Regular‐Hour and After‐Hours Revisions," Journal of Accounting Research, Wiley Blackwell, vol. 53(4), pages 821-861, September.
    5. D Aromi & A Clements, 2018. "Media attention and crude oil volatility: Is there any 'new' news in the newspaper?," NCER Working Paper Series 118, National Centre for Econometric Research.
    6. Frijns, Bart & Indriawan, Ivan & Otsubo, Yoichi & Tourani-Rad, Alireza, 2019. "The cost of trading during Federal Funds Rate announcements: Evidence from cross-listed stocks," International Review of Economics & Finance, Elsevier, vol. 60(C), pages 176-187.
    7. Akihiro Omura & Neda Todorova, 2019. "The quantile dependence of commodity futures markets on news sentiment," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(7), pages 818-837, July.
    8. Rognone, Lavinia & Hyde, Stuart & Zhang, S. Sarah, 2020. "News sentiment in the cryptocurrency market: An empirical comparison with Forex," International Review of Financial Analysis, Elsevier, vol. 69(C).
    9. Smales, Lee A. & Yang, Yi, 2015. "The importance of belief dispersion in the response of gold futures to macroeconomic announcements," International Review of Financial Analysis, Elsevier, vol. 41(C), pages 292-302.
    10. Stephan Meyer & Sebastian Schroff & Christof Weinhardt, 2014. "(Un)skilled leveraged trading of retail investors," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 28(2), pages 111-138, May.
    11. Ülkü, Numan & Weber, Enzo, 2013. "Identifying the interaction between stock market returns and trading flows of investor types: Looking into the day using daily data," Journal of Banking & Finance, Elsevier, vol. 37(8), pages 2733-2749.
    12. Massimiliano Caporin & Francesco Poli, 2017. "Building News Measures from Textual Data and an Application to Volatility Forecasting," Econometrics, MDPI, Open Access Journal, vol. 5(3), pages 1-46, August.
    13. Adam Clements & Yin Liao, "undated". "News and network structures in equity market volatility," NCER Working Paper Series 110, National Centre for Econometric Research.
    14. Crego, Julio A., 2020. "Why does public news augment information asymmetries?," Journal of Financial Economics, Elsevier, vol. 137(1), pages 72-89.
    15. Adam E. Clements & Neda Todorova, 2016. "Information Flow, Trading Activity and Commodity Futures Volatility," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 36(1), pages 88-104, January.
    16. 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.
    17. Gustavo Silva Araújo & Claudio Henrique da Silveira Barbedo & José Valentim Machado Vicente, 2011. "The Adverse Selection Cost Component of the Spread of Brazilian Stocks," Working Papers Series 263, Central Bank of Brazil, Research Department.
    18. Ao Kong & Robert Azencott & Hongliang Zhu, 2020. "Pattern recognition in trading behaviors before stock price jumps: new method based on multivariate time series classification," Papers 2011.04939, arXiv.org.
    19. Adam Clements & Joanne Fuller & Vasilios Papalexiou, 2015. "Public news flow in intraday component models for trading activity and volatility," NCER Working Paper Series 106, National Centre for Econometric Research.
    20. Rui Fan & Oleksandr Talavera & Vu Tran, 2020. "Social media bots and stock markets," European Financial Management, European Financial Management Association, vol. 26(3), pages 753-777, June.
    21. Joseph, Kishore & Garcia, Philip, 2016. "Intraday Market Effects in Electronic Soybean Futures Market during Non-Trading and Trading Hour Announcements," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235772, Agricultural and Applied Economics Association.
    22. Keim, Donald B & Massa, Massimo & von Beschwitz, Bastian, 2015. "First to “Read” the News: News Analytics and Institutional Trading," CEPR Discussion Papers 10534, C.E.P.R. Discussion Papers.
    23. 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.
    24. Alpha Basweti Kenyatta & Antony Ngunyi & Anthony Gichuhi Waititu, 2020. "News Classification using Support Vector Machine to Model and Forecast Volatility," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, vol. 9(1), pages 1-1.
    25. Sankaraguruswamy, Srinivasan & Shen, Jianfeng & Yamada, Takeshi, 2013. "The relationship between the frequency of news release and the information asymmetry: The role of uninformed trading," Journal of Banking & Finance, Elsevier, vol. 37(11), pages 4134-4143.
    26. Kin‐Yip Ho & Wai‐Man Liu & Jing Yu, 2018. "Public News Arrival and Cross‐Asset Correlation Breakdown," International Review of Finance, International Review of Finance Ltd., vol. 18(3), pages 411-451, September.
    27. Smales, Lee A., 2016. "News sentiment and bank credit risk," Journal of Empirical Finance, Elsevier, vol. 38(PA), pages 37-61.
    28. Donald B. Keim & Massimo Massa & Bastian von Beschwitz, 2018. "First to "Read" the News: New Analytics and Algorithmic Trading," International Finance Discussion Papers 1233, Board of Governors of the Federal Reserve System (U.S.).
    29. Steven L. Heston & Nitish R. Sinha, 2016. "News versus Sentiment : Predicting Stock Returns from News Stories," Finance and Economics Discussion Series 2016-048, Board of Governors of the Federal Reserve System (U.S.), revised Jun 2016.
    30. Junru Zhang & Hadrian Geri Djajadikerta & Zhaoyong Zhang, 2018. "Does Sustainability Engagement Affect Stock Return Volatility? Evidence from the Chinese Financial Market," Sustainability, MDPI, Open Access Journal, vol. 10(10), pages 1-21, September.
    31. Ben Omrane, Walid & Tao, Yusi & Welch, Robert, 2017. "Scheduled macro-news effects on a Euro/US dollar limit order book around the 2008 financial crisis," Research in International Business and Finance, Elsevier, vol. 42(C), pages 9-30.
    32. Arango, Ignacio & Agudelo, Diego A., 2019. "How does information disclosure affect liquidity? Evidence from an emerging market," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    33. Siikanen, Milla & Kanniainen, Juho & Luoma, Arto, 2017. "What drives the sensitivity of limit order books to company announcement arrivals?," Economics Letters, Elsevier, vol. 159(C), pages 65-68.
    34. Siikanen, Milla & Kanniainen, Juho & Valli, Jaakko, 2017. "Limit order books and liquidity around scheduled and non-scheduled announcements: Empirical evidence from NASDAQ Nordic," Finance Research Letters, Elsevier, vol. 21(C), pages 264-271.
    35. Julio A. Crego, 2017. "Does Public News Decrease Information Asymmetries? Evidence from the Weekly Petroleum Status Report," Working Papers wp2017_1714, CEMFI.
    36. Chang, Ya-Ting & Gau, Yin-Feng & Hsu, Chih-Chiang, 2017. "Liquidity Commonality in Foreign Exchange Markets During the Global Financial Crisis and the Sovereign Debt Crisis: Effects of Macroeconomic and Quantitative Easing Announcements," The North American Journal of Economics and Finance, Elsevier, vol. 42(C), pages 172-192.
    37. Efstathios Panayi & Gareth Peters & Ioannis Kosmidis, 2014. "Liquidity commonality does not imply liquidity resilience commonality: A functional characterisation for ultra-high frequency cross-sectional LOB data," Papers 1406.5486, arXiv.org.
    38. Smales, Lee A., 2015. "Time-variation in the impact of news sentiment," International Review of Financial Analysis, Elsevier, vol. 37(C), pages 40-50.
    39. Clements, A.E. & Liao, Y., 2020. "Firm-specific information and systemic risk," Economic Modelling, Elsevier, vol. 90(C), pages 480-493.
    40. Smales, Lee A., 2015. "Asymmetric volatility response to news sentiment in gold futures," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 34(C), pages 161-172.
    41. Smales, Lee A., 2014. "News sentiment in the gold futures market," Journal of Banking & Finance, Elsevier, vol. 49(C), pages 275-286.
    42. 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.
    43. Jieun Lee & Doojin Ryu & Ali M. Kutan, 2016. "Monetary Policy Announcements, Communication, and Stock Market Liquidity," Australian Economic Papers, Wiley Blackwell, vol. 55(3), pages 227-250, September.

More information

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Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 1 paper announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-MST: Market Microstructure (1) 2018-01-15. Author is listed

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