Does Aggregate Riskiness Predict Future Economic Downturns?
AbstractAumann and Serrano (2008) and Foster and Hart (2009) introduce riskiness measures based on the physical return distribution of gambles. This paper proposes model-free options' implied measures of riskiness based on the risk-neutral distribution of financial securities. In addition to introducing the forward-looking measures of riskiness, the paper investigates the significance of aggregate riskiness in predicting future economic downturns. The results indicate strong predictive power of aggregate riskiness even after controlling for the realized volatility of the U.S. equity market, the implied volatility of S&P 500 index options (VIX) proxying for financial market uncertainty, as well as the TED spread proxying for interbank credit risk and the perceived health of the banking system.
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Bibliographic InfoPaper provided by Ohio State University, Charles A. Dice Center for Research in Financial Economics in its series Working Paper Series with number 2012-09.
Date of creation: May 2012
Date of revision:
Find related papers by JEL classification:
- G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
- G12 - Financial Economics - - General Financial Markets - - - Asset Pricing
- G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies
- G33 - Financial Economics - - Corporate Finance and Governance - - - Bankruptcy; Liquidation
This paper has been announced in the following NEP Reports:
- NEP-ALL-2012-06-13 (All new papers)
- NEP-FOR-2012-06-13 (Forecasting)
- NEP-RMG-2012-06-13 (Risk Management)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Turan G. Bali & Nusret Cakici & Fousseni Chabi-Yo, 2011. "A Generalized Measure of Riskiness," Management Science, INFORMS, vol. 57(8), pages 1406-1423, August.
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