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Demand for Crash Insurance, Intermediary Constraints, and Risk Premia in Financial Markets

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  • Hui Chen
  • Scott Joslin
  • Sophie X. Ni

Abstract

We propose a new measure of financial intermediary constraints based on how the intermediaries manage their tail risk exposures. Using data for the trading activities in the market of deep out-of-the-money S&P 500 put options, we identify periods when the variations in the net amount of trading between financial intermediaries and public investors are likely to be mainly driven by shocks to intermediary constraints. We then infer tightness of intermediary constraints from the quantities of option trading during such periods. A tightening of intermediary constraint according to our measure is associated with increasing option expensiveness, higher risk premia for a wide range of financial assets, deterioration in funding liquidity, and broker-dealer deleveraging.

Suggested Citation

  • Hui Chen & Scott Joslin & Sophie X. Ni, 2019. "Demand for Crash Insurance, Intermediary Constraints, and Risk Premia in Financial Markets," NBER Working Papers 25573, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:25573
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    2. George M. Constantinides & Michal Czerwonko & Stylianos Perrakis, 2020. "Mispriced index option portfolios," Financial Management, Financial Management Association International, vol. 49(2), pages 297-330, June.
    3. Gruenthaler, Thomas & Lorenz, Friedrich & Meyerhof, Paul, 2022. "Option-based intermediary leverage," Journal of Banking & Finance, Elsevier, vol. 145(C).
    4. Libo Yin & Jing Nie & Liyan Han, 2021. "Intermediary capital risk and commodity futures volatility," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(5), pages 577-640, May.
    5. Valentin Haddad & Tyler Muir, 2021. "Do Intermediaries Matter for Aggregate Asset Prices?," Journal of Finance, American Finance Association, vol. 76(6), pages 2719-2761, December.
    6. Aramonte, Sirio & Szerszeń, Paweł J., 2020. "Cross-market liquidity and dealer profitability: Evidence from the bond and CDS markets," Journal of Financial Markets, Elsevier, vol. 51(C).
    7. Ko Adachi & Kazuhiro Hiraki & Tomiyuki Kitamura, 2021. "Supplementary Paper Series for the "Assessment" (1): The Effects of the Bank of Japan's ETF Purchases on Risk Premia in the Stock Markets," Bank of Japan Working Paper Series 21-E-3, Bank of Japan.
    8. Gehricke, Sebastian A. & Zhang, Jin E., 2021. "Tracking performance of VIX futures ETPs," Journal of Empirical Finance, Elsevier, vol. 61(C), pages 103-117.
    9. Sonnan Chen & Yuchi Gu, 2021. "Joint estimation of volatility risk and tail risk premia with time-varying macro-state-dependent property," Review of Quantitative Finance and Accounting, Springer, vol. 56(4), pages 1357-1397, May.
    10. Ramachandran, Lakshmi Shankar & Tayal, Jitendra, 2021. "Mispricing, short-sale constraints, and the cross-section of option returns," Journal of Financial Economics, Elsevier, vol. 141(1), pages 297-321.
    11. Stylianos Perrakis, 2022. "From innovation to obfuscation: continuous time finance fifty years later," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 36(3), pages 369-401, September.
    12. Augustin, Patrick & Sokolovski, Valeri & Subrahmanyam, Marti G. & Tomio, Davide, 2022. "How sovereign is sovereign credit risk? Global prices, local quantities," Journal of Monetary Economics, Elsevier, vol. 131(C), pages 92-111.
    13. Feng, Xu & Lu, Lei & Xiao, Yajun, 2020. "Shadow banks, leverage risks, and asset prices," Journal of Economic Dynamics and Control, Elsevier, vol. 111(C).

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    More about this item

    JEL classification:

    • G01 - Financial Economics - - General - - - Financial Crises
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
    • G2 - Financial Economics - - Financial Institutions and Services

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