• Media type: E-Book
  • Title: Inferring Financial Bubbles from Option Data
  • Contributor: Jarrow, Robert [Author]; Kwok, Simon [Other]
  • Published: [S.l.]: SSRN, [2020]
  • Extent: 1 Online-Ressource (54 p)
  • Language: English
  • DOI: 10.2139/ssrn.3586437
  • Identifier:
  • Origination:
  • Footnote: Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments April 27, 2020 erstellt
  • Description: Financial bubbles arise when the underlying assets market price departs from its fundamental value. Unlike other bubble tests that use time series data and assume a reduced-form price process, we infer the existence of bubbles nonparametrically using option price data. Under no-arbitrage and acknowledging data constraints, we can partially identify asset price bubbles using a cross section of European option prices. In the empirical analysis, we obtain interval estimates of price bubbles embedded in the S&P 500 Index. The estimated index bubbles are then used to construct profitable momentum trading strategies that consistently outperform a buy-and-hold trading strategy
  • Access State: Open Access