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The Pricing Kernel under Proportional Ambiguity

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  • Spengemann, Marco

    (Center for Mathematical Economics, Bielefeld University)

Abstract

The pricing kernel is an important tool for understanding asset prices, expected returns, and investor preferences. However, empirical findings often reveal deviations from theoretical predictions, leading to the so-called ”pricing kernel puzzle”. This article explores the pricing kernel under Knightian uncertainty driven by identifiable business cycles. In a pure exchange economy with a representative agent exhibiting smooth ambiguity preferences, the pricing kernel is derived from equilibrium asset prices. By linking normal variance-mean mixtures with model uncertainty, we account for agents facing uncertainty across a continuum of economic regimes. Our results show that the pricing kernel can either decrease monotonically or exhibit a U-shape, depending on the level of ambiguity aversion. Additionally, we provide economic insights into the conditions that give rise to a U-shaped pricing kernel.

Suggested Citation

  • Spengemann, Marco, 2025. "The Pricing Kernel under Proportional Ambiguity," Center for Mathematical Economics Working Papers 700, Center for Mathematical Economics, Bielefeld University.
  • Handle: RePEc:bie:wpaper:700
    as

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    File URL: https://pub.uni-bielefeld.de/download/3000630/3000631
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    References listed on IDEAS

    as
    1. Nengjiu Ju & Jianjun Miao, 2012. "Ambiguity, Learning, and Asset Returns," Econometrica, Econometric Society, vol. 80(2), pages 559-591, March.
    2. N. H. Bingham & Rudiger Kiesel & Rafael Schmidt, 2003. "A semi-parametric approach to risk management," Quantitative Finance, Taylor & Francis Journals, vol. 3(6), pages 426-441.
    3. Kandel, Shmuel & Stambaugh, Robert F., 1991. "Asset returns and intertemporal preferences," Journal of Monetary Economics, Elsevier, vol. 27(1), pages 39-71, February.
    4. Elisa Luciano & Patrizia Semeraro, 2010. "A Generalized Normal Mean-Variance Mixture For Return Processes In Finance," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 13(03), pages 415-440.
    5. Cerreia-Vioglio, Simone & Maccheroni, Fabio & Marinacci, Massimo & Montrucchio, Luigi, 2013. "Ambiguity and robust statistics," Journal of Economic Theory, Elsevier, vol. 148(3), pages 974-1049.
      • Simone Cerreia-Vioglio & Fabio Maccheroni & Massimo Marinacci & Luigi Montrucchio, 2011. "Ambiguity and Robust Statistics," Working Papers 382, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    6. Peter Klibanoff & Massimo Marinacci & Sujoy Mukerji, 2005. "A Smooth Model of Decision Making under Ambiguity," Econometrica, Econometric Society, vol. 73(6), pages 1849-1892, November.
    7. Tommaso Denti & Luciano Pomatto, 2022. "Model and Predictive Uncertainty: A Foundation for Smooth Ambiguity Preferences," Econometrica, Econometric Society, vol. 90(2), pages 551-584, March.
    8. Christian Gollier, 2011. "Portfolio Choices and Asset Prices: The Comparative Statics of Ambiguity Aversion," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 78(4), pages 1329-1344.
    9. Jackwerth, Jens Carsten, 2000. "Recovering Risk Aversion from Option Prices and Realized Returns," The Review of Financial Studies, Society for Financial Studies, vol. 13(2), pages 433-451.
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    More about this item

    Keywords

    Pricing kernel; business cycles; normal variance-mean mixture; model uncertainty; identifiability; ambiguity aversion;
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