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Portfolio Insurance and Other Investor Fashions as Factors in the 1987 Stock Market Crash

In: NBER Macroeconomics Annual 1988, Volume 3

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  • Robert J. Shiller

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  • Robert J. Shiller, 1988. "Portfolio Insurance and Other Investor Fashions as Factors in the 1987 Stock Market Crash," NBER Chapters, in: NBER Macroeconomics Annual 1988, Volume 3, pages 287-297, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberch:10958
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    References listed on IDEAS

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    1. Robert J. Shiller, 1987. "Investor Behavior in the October 1987 Stock Market Crash: Survey Evidence," NBER Working Papers 2446, National Bureau of Economic Research, Inc.
    2. Leland, Hayne E, 1980. "Who Should Buy Portfolio Insurance?," Journal of Finance, American Finance Association, vol. 35(2), pages 581-594, May.
    3. Grossman, Sanford J, 1988. "An Analysis of the Implications for Stock and Futures Price Volatility of Program Trading and Dynamic Hedging Strategies," The Journal of Business, University of Chicago Press, vol. 61(3), pages 275-298, July.
    4. Smith, Vernon L & Suchanek, Gerry L & Williams, Arlington W, 1988. "Bubbles, Crashes, and Endogenous Expectations in Experimental Spot Asset Markets," Econometrica, Econometric Society, vol. 56(5), pages 1119-1151, September.
    5. Brennan, Michael J. & Schwartz, Eduardo S., 1976. "The pricing of equity-linked life insurance policies with an asset value guarantee," Journal of Financial Economics, Elsevier, vol. 3(3), pages 195-213, June.
    6. Black, Fischer & Scholes, Myron S, 1973. "The Pricing of Options and Corporate Liabilities," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 637-654, May-June.
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    Citations

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    Cited by:

    1. Lu, Shan & Zhao, Jichang & Wang, Huiwen & Ren, Ruoen, 2018. "Herding boosts too-connected-to-fail risk in stock market of China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 505(C), pages 945-964.
    2. Terry Bossomaier & Lionel Barnett & Adam Steen & Mike Harré & Steve d'Alessandro & Rod Duncan, 2018. "Information flow around stock market collapse," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 58(S1), pages 45-58, November.
    3. Ioannis P. Antoniades & Giuseppe Brandi & L. G. Magafas & T. Di Matteo, 2020. "The use of scaling properties to detect relevant changes in financial time series: a new visual warning tool," Papers 2010.08890, arXiv.org, revised Dec 2020.
    4. Fischer Black, 1988. "An Equilibrium Model of the Crash," NBER Chapters, in: NBER Macroeconomics Annual 1988, Volume 3, pages 269-276, National Bureau of Economic Research, Inc.
    5. Lux, Thomas, 1995. "Herd Behaviour, Bubbles and Crashes," Economic Journal, Royal Economic Society, vol. 105(431), pages 881-896, July.
    6. Raquel M. Gaspar & Paulo M. Silva, 2019. "Investors’ Perspective on Portfolio InsuranceExpected Utility vs Prospect Theories," Working Papers REM 2019/92, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
    7. Dong, Xinyue & Ma, Rong & Li, Honggang, 2019. "Stock index pegging and extreme markets," International Review of Financial Analysis, Elsevier, vol. 64(C), pages 13-21.
    8. De Long, J Bradford, et al, 1990. "Positive Feedback Investment Strategies and Destabilizing Rational Speculation," Journal of Finance, American Finance Association, vol. 45(2), pages 379-395, June.
    9. Valeriy Zakamulin, 2023. "Not all bull and bear markets are alike: insights from a five-state hidden semi-Markov model," Risk Management, Palgrave Macmillan, vol. 25(1), pages 1-25, March.
    10. Eduard Krkoska & Klaus Reiner Schenk-Hoppé, 2019. "Herding in Smart-Beta Investment Products," JRFM, MDPI, vol. 12(1), pages 1-14, March.
    11. Adam Zaremba & Jacob Koby Shemer, 2018. "Price-Based Investment Strategies," Springer Books, Springer, number 978-3-319-91530-2, September.
    12. 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.
    13. Robert J. Shiller, 2014. "Speculative Asset Prices," American Economic Review, American Economic Association, vol. 104(6), pages 1486-1517, June.
    14. Antoniades, I.P. & Brandi, Giuseppe & Magafas, L. & Di Matteo, T., 2021. "The use of scaling properties to detect relevant changes in financial time series: A new visual warning tool," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 565(C).
    15. Committee, Nobel Prize, 2013. "Understanding Asset Prices," Nobel Prize in Economics documents 2013-1, Nobel Prize Committee.
    16. Wang, Chengjin & Gao, Yudong & Li, Honggang, 2021. "Information interaction, behavioral synchronization and asset market volatility," The North American Journal of Economics and Finance, Elsevier, vol. 56(C).
    17. Tey, Kian Siong & Schaerer, Michael & Madan, Nikhil & Swaab, Roderick I., 2021. "The Impact of Concession Patterns on Negotiations: When and Why Decreasing Concessions Lead to a Distributive Disadvantage," Organizational Behavior and Human Decision Processes, Elsevier, vol. 165(C), pages 153-166.
    18. Daniel Eisenberg & Thomas Seager & David L. Alderson, 2019. "Rethinking Resilience Analytics," Risk Analysis, John Wiley & Sons, vol. 39(9), pages 1870-1884, September.
    19. Lim, Terence & Lo, Andrew W. & Merton, Robert C. & Scholes, Myron S., 2006. "The Derivatives Sourcebook," Foundations and Trends(R) in Finance, now publishers, vol. 1(5–6), pages 365-572, April.
    20. R. Sverchkov & K. Sonin., 2014. "Financial Markets Efficiency (Nobel Memorial Prize in Economics 2013)," VOPROSY ECONOMIKI, N.P. Redaktsiya zhurnala "Voprosy Economiki", vol. 1.

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