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Fear and Closed-End Fund Discounts

Author

Listed:
  • Seth Anderson
  • T. Randolph Beard
  • Hyeongwoo Kim
  • Liliana Stern

Abstract

Closed end fund (CEF) discounts have intrigued researchers for decades. Of the many explanations offered, the behavioural framework of Lee et al. (1991), which posits noise traders subject to sentiment, is the most discussed. In this article, we contribute some novel evidence to the evaluation of this theory by examining the role of implied market volatility (VIX, i.e., the ¡°fear index¡±) in fund discounts using a dynamic conditional correlation (DCC) approach. We find that VIX has almost no role in determining discounts except during periods of extreme market turbulence, providing strong but indirect evidence for the sentiment story.

Suggested Citation

  • Seth Anderson & T. Randolph Beard & Hyeongwoo Kim & Liliana Stern, 2012. "Fear and Closed-End Fund Discounts," Auburn Economics Working Paper Series auwp2012-07, Department of Economics, Auburn University.
    • Handle: RePEc:abn:wpaper:auwp2012-07
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    File URL: https://cla.auburn.edu/econwp/Archives/2012/2012-07.pdf
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    Cited by:

    1. Binghui Wu & Tingting Duan, 2019. "Nonlinear Dynamics Characteristic of Risk Contagion in Financial Market Based on Agent Modeling and Complex Network," Complexity, Hindawi, vol. 2019, pages 1-12, June.
    2. Lutz, Chandler, 2015. "The impact of conventional and unconventional monetary policy on investor sentiment," Journal of Banking & Finance, Elsevier, vol. 61(C), pages 89-105.
    3. Nazif Durmaz & Hyeongwoo Kim & Hyejin Lee & Yanfei Sun, 2023. "Trend Breaks and the Persistence of Closed-End Mutual Fund Discounts," Auburn Economics Working Paper Series auwp2023-03, Department of Economics, Auburn University.
    4. Pereira Reichhardt, Joaquín & Iqbal, Tabassum, 2014. "Investment Decisions: Are we fully-Rational?," MPRA Paper 57686, University Library of Munich, Germany.

    More about this item

    Keywords

    Closed-end fund; discount; investor sentiment; dynamic conditional correlation; multivariate GARCH;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • G01 - Financial Economics - - General - - - Financial Crises
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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