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What Moves Stock Prices? The Roles of News, Noise, and Information

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  • Jonathan Brogaard
  • Thanh Huong Nguyen
  • Talis J Putnins
  • Eliza Wu

Abstract

We develop a return variance decomposition model to distinguish the roles of different types of information and noise in stock price movements. We disentangle four components: noise, private firm-specific information revealed through trading, firm-specific information revealed through public sources and market-wide information. Overall, we find that 31$\%$ of the return variance is from noise, 24$\%$ from private firm-specific information, 37$\%$ from public firm-specific information and 8$\%$ from market-wide information. Since the mid-1990s, there has been a dramatic decline in noise and an increase in firm-specific information, consistent with increasing market efficiency.The Internet Appendix that accompanies this paper can be obtained here: https://bit.ly/3FcV9UR

Suggested Citation

  • Jonathan Brogaard & Thanh Huong Nguyen & Talis J Putnins & Eliza Wu, 2022. "What Moves Stock Prices? The Roles of News, Noise, and Information," The Review of Financial Studies, Society for Financial Studies, vol. 35(9), pages 4341-4386.
    • Handle: RePEc:oup:rfinst:v:35:y:2022:i:9:p:4341-4386.
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    File URL: http://hdl.handle.net/10.1093/rfs/hhab137
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    Citations

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    Cited by:

    1. Maryam Farboodi & Adrien Matray & Laura Veldkamp & Venky Venkateswaran, 2022. "Where Has All the Data Gone?," The Review of Financial Studies, Society for Financial Studies, vol. 35(7), pages 3101-3138.
    2. Durmaz, Nazif & Kim, Hyeongwoo & Lee, Hyejin & Sun, Yanfei, 2023. "Trend Breaks and the Persistence of Closed-End Mutual Fund Discounts," MPRA Paper 117789, University Library of Munich, Germany.
    3. Kerssenfischer, Mark & Schmeling, Maik, 2022. "What moves markets?," Discussion Papers 16/2022, Deutsche Bundesbank.
    4. Bohl, Martin T. & Irwin, Scott H. & Pütz, Alexander & Sulewski, Christoph, 2023. "The impact of financialization on the efficiency of commodity futures markets," Journal of Commodity Markets, Elsevier, vol. 31(C).
    5. Nazif Durmaz & Hyeongwoo Kim & Hyejin Lee & Yanfei Sun, 2023. "Trend Breaks and the Persistence of Closed-End Fund Discounts," Auburn Economics Working Paper Series auwp2023-08, Department of Economics, Auburn University.
    6. Marta Khomyn, 2020. "Essays on Modern Market Structure," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 2-2020.
    7. Dimitris Papadimitriou, 2023. "Trading under uncertainty about other market participants," The Financial Review, Eastern Finance Association, vol. 58(2), pages 343-367, May.
    8. Rzayev, Khaladdin & Ibikunle, Gbenga & Steffen, Tom, 2023. "The market quality implications of speed in cross-platform trading: evidence from Frankfurt-London microwave," LSE Research Online Documents on Economics 119989, London School of Economics and Political Science, LSE Library.
    9. Cheema, Arbab K. & Eshraghi, Arman & Wang, Qingwei, 2023. "Macroeconomic news and price synchronicity," Journal of Empirical Finance, Elsevier, vol. 73(C), pages 390-412.
    10. Angelidis, Timotheos & Tessaromatis, Nikolaos, 2023. "The disappearing profitability of volatility-managed equity factors," Journal of Financial Markets, Elsevier, vol. 65(C).
    11. Aliyev, Nihad & Huseynov, Fariz & Rzayev, Khaladdin, 2022. "Algorithmic trading and investment-to-price sensitivity," LSE Research Online Documents on Economics 118844, London School of Economics and Political Science, LSE Library.

    More about this item

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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