• Media type: E-Book
  • Title: Estimating Probability Distributions of Future Asset Prices : Empirical Transformations from Option-Implied Risk-Neutral to Real-World Density Functions
  • Contributor: de Vincent-Humphreys, Rupert [Author]; Noss, Joseph [Other]
  • Published: [S.l.]: SSRN, [2012]
  • Published in: Bank of England Working Paper ; No. 455
  • Extent: 1 Online-Ressource (39 p)
  • Language: English
  • DOI: 10.2139/ssrn.2093397
  • Identifier:
  • Origination:
  • Footnote: Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments June 21, 2012 erstellt
  • Description: The prices of derivatives contracts can be used to estimate ‘risk-neutral' probability density functions that give an indication of the weight investors place on different future prices of their underlying assets, were they risk-neutral. In the likely case that investors are risk-averse, this leads to differences between the risk-neutral probability density and the actual distribution of prices. But if this difference displays a systematic pattern over time, it may be exploited to transform the risk-neutral density into a ‘real-world' density that better reflect agents' actual expectations. This work offers a methodology for performing this transformation. The resulting real-world densities may better represent market participants' views of future prices, and so offer an enhanced means of quantifying the uncertainty around financial variables. Comparison with their risk-neutral equivalents may also reveal new and useful information as to how attitudes towards risk are affecting pricing
  • Access State: Open Access