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Measuring Risk Information

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  • KEVIN C. SMITH
  • ERIC C. SO

Abstract

We develop a measure of how information events impact investors' expectations of risk. The measure is broadly applicable and simple to implement. We derive it from an option‐pricing model, where investors anticipate an announcement that simultaneously conveys information on the announcer's expected future cash flows and risk profile. We empirically implement the measure using firms' earnings announcements, showing that it closely aligns with our model's predictions and offers strong forecasting power for firms' risk profiles, costs of capital, and future investments. We further highlight pitfalls of using simple changes in option‐implied volatilities to study information gleaned from earnings announcements. Finally, we apply our measure to study disclosure regulation, the efficacy of text‐based proxies, and market‐wide events, which we use to illustrate our measure's uses, and illuminate its potential limitations.

Suggested Citation

  • Kevin C. Smith & Eric C. So, 2022. "Measuring Risk Information," Journal of Accounting Research, Wiley Blackwell, vol. 60(2), pages 375-426, May.
  • Handle: RePEc:bla:joares:v:60:y:2022:i:2:p:375-426
    DOI: 10.1111/1475-679X.12413
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    References listed on IDEAS

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    Cited by:

    1. Bertomeu, Jeremy, 2024. "Disclosure paternalism," Journal of Accounting and Economics, Elsevier, vol. 77(2).
    2. Crego, Julio & Gider, Jasmin, 2023. "The dynamic informativeness of scheduled news," Other publications TiSEM d4538ed2-3aeb-4259-b1f1-2, Tilburg University, School of Economics and Management.
    3. Srivastava, Pranjal & Jacob, Joshy, 2022. "Risk information - normal markets and the COVID-19 pandemic period," IIMA Working Papers WP 2022-10-02, Indian Institute of Management Ahmedabad, Research and Publication Department.
    4. Neururer, Thaddeus, 2023. "Variance risk premiums and aging firms," Finance Research Letters, Elsevier, vol. 58(PA).
    5. Wei Chen & Paul Hribar & Sam Melessa, 2023. "Standard Error Biases When Using Generated Regressors in Accounting Research," Journal of Accounting Research, Wiley Blackwell, vol. 61(2), pages 531-569, May.
    6. Harshit Mishra & Parama Barai, 2024. "Entropy Augmented Asset Pricing Model: Study on Indian Stock Market," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 31(1), pages 81-99, March.

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