• Media type: Report; E-Book
  • Title: Flexible stochastic volatility structures for high frequency financial data
  • Contributor: Feldmann, David [Author]; Härdle, Wolfgang Karl [Author]; Hafner, Christian M. [Author]; Hoffmann, Marc [Author]; Lepskii, Oleg V. [Author]; Tsybakov, Alexandre B. [Author]
  • imprint: Berlin: Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes, 1998
  • Language: English
  • Origination:
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  • Description: Stochastic Volatility (SV) models are widely used in financial applications. To decide whether standard parametric restrictions are justified for a given dataset, a statistical test is required. In this paper, we develop such a test based on the linear state space representation. We provide a simulation study and apply the test to the HFDF96 data set. Our results confirm a linear AR(1) structure for the analyzed stock indices S&P500, Dow Jones Industrial Average and for the exchange rate DEM/USD.
  • Access State: Open Access