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The Behavior of Risk and Market Prices of Risk Over the Nasdaq Bubble Period

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  • Gurdip Bakshi

    () (Smith School of Business, University of Maryland, College Park, Maryland 20742)

  • Liuren Wu

    () (Zicklin School of Business, Baruch College, City University of New York, New York, New York 10010)

Abstract

We exploit the information in the options market to study the variations of return risk and market prices of different sources of risk during the rise and fall of the Nasdaq market. We specify a model that accommodates fluctuations in both risk levels and market prices of different sources of risk, and we estimate the model using the time-series returns and option prices on the Nasdaq 100 tracking stock. Our analysis reveals three key variations during the period from March 1999 to March 2001. First, return volatility increased together with the rising Nasdaq index level, even though the two tend to move in opposite directions. Second, although the market price of diffusion return risk averages around 1.82 over the whole sample, the estimates reached negative territory at the end of 1999. The estimates reverted back to highly positive values after the collapse of the Nasdaq market. Third, the market price of jump risk increased with the rising Nasdaq valuation, and this increase in market price coincided with an increased imbalance in open interest between put and call options.

Suggested Citation

  • Gurdip Bakshi & Liuren Wu, 2010. "The Behavior of Risk and Market Prices of Risk Over the Nasdaq Bubble Period," Management Science, INFORMS, vol. 56(12), pages 2251-2264, December.
  • Handle: RePEc:inm:ormnsc:v:56:y:2010:i:12:p:2251-2264
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    File URL: http://dx.doi.org/10.1287/mnsc.1100.1256
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    References listed on IDEAS

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    Cited by:

    1. Andrés Mirantes & Javier Población & Gregorio Serna, 2015. "Commodity derivative valuation under a factor model with time-varying market prices of risk," Review of Derivatives Research, Springer, pages 75-93.
    2. Kanniainen, Juho & Piché, Robert, 2013. "Stock price dynamics and option valuations under volatility feedback effect," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(4), pages 722-740.
    3. Douglas W. Blackburn & Andrey D. Ukhov, 2013. "Individual vs. Aggregate Preferences: The Case of a Small Fish in a Big Pond," Management Science, INFORMS, pages 470-484.
    4. Ornthanalai, Chayawat, 2014. "Lévy jump risk: Evidence from options and returns," Journal of Financial Economics, Elsevier, vol. 112(1), pages 69-90.
    5. Fabozzi, Frank J. & Leccadito, Arturo & Tunaru, Radu S., 2014. "Extracting market information from equity options with exponential Lévy processes," Journal of Economic Dynamics and Control, Elsevier, vol. 38(C), pages 125-141.
    6. Kiesel, Rüdiger & Rahe, Florentin, 2017. "Option pricing under time-varying risk-aversion with applications to risk forecasting," Journal of Banking & Finance, Elsevier, vol. 76(C), pages 120-138.
    7. Juho Kanniainen & Robert Pich'e, 2012. "Stock Price Dynamics and Option Valuations under Volatility Feedback Effect," Papers 1209.4718, arXiv.org.
    8. Slim, Skander, 2016. "On the source of stochastic volatility: Evidence from CAC40 index options during the subprime crisis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 463(C), pages 63-76.

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