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Browsing Duke Faculty Scholarship by Author "0117212"

DukeSpace

Browsing Duke Faculty Scholarship by Author "0117212"

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  • Chernov, Mikhail; Gallant, A. Ronald; Ghysels, Eric; Tauchen, George (Journal of Econometrics, 2003)
    This paper evaluates the role of various volatility specifications, such as multiple stochastic volatility (SV) factors and jump components, in appropriate modeling of equity return distributions. We use estimation technology ...
  • Gallant, A. Ronald; Tauchen, George (Macroeconomic Dynamics, 1997)
    Efficient Method of Moments is used to estimate and test continuous-time diffusion models for stock returns and interest rates. For stock returns, a four-state, two-factor diffusion with one state observed can account for ...
  • Gallant, A. Ronald; Hsieh, David; Tauchen, George (Elsevier, 1995)
    Method of Moments (EMM) is used to fit the standard stochastic volatility model and various extensions to several daily financial time series. EMM matches to the score of a model determined by data analysis called the score ...
  • Chernov, Mikhail; Gallant, A. Ronald; Ghysels, Eric; Tauchen, George (SSRN eLibrary, 1999)
    The purpose of this paper is to propose a new class of jump diffusions which feature both stochastic volatility and random intensity jumps. Previous studies have focused primarily on pure jump processes with constant ...
  • Gallant, A. Ronald; Rossi, Peter E.; Tauchen, George (Econometrica, 1993)
    The paper develops an approach for analyzing the dynamics of a nonlinear time series that is represented by a nonparametric estimate of its one-step ahead conditional density. The approach entails examination of conditional ...
  • Bansal, Ravi; Gallant, A. Ronald; Hussey, Robert; Tauchen, George (Journal of Econometrics, 1995)
    Empirical modeling of high-frequency currency market data reveals substantial evidence for nonnormality, stochastic volatility, and other nonlinearities. This paper investigates whether an equilibrium monetary model can ...
  • Bansal, Ravi; Gallant, A. Ronald; Tauchen, George (SSRN eLibrary, 1999)
    estimates and examines the empirical plausibility of asset pricing models that attempt to explain features of financial markets such as the size of the equity premium and the volatility of the stock market. In one model, ...
  • Gallant, A. Ronald; Tauchen, George (Journal of Econometrics, 1999)
    The asymptotic relative efficiency of efficient method of moments when implemented with a seminonparametric auxiliary model is compared to that of conventional method of moments when implemented with polynomial moment ...
  • Gallant, A. Ronald; Tauchen, George (Econometric Society, 1989)
    The extent to which specification error can explain rejection of the intertemporal capital asset pricing model is investigated using seminonparametric representations of the law of motion and utility. The authors find (1) ...
  • Gallant, A. Ronald; Tauchen, George (SSRN eLibrary, 1995)
    describes the use of the Gallant-Tauchen efficient method of moments (EMM) technique for diagnostic checking of stochastic differential equations (SDEs) estimated from financial market data. The EMM technique is a ...
  • Gallant, A. Ronald; Hsu, Chien-Te; Tauchen, George (MIT Press Journals, 1999)
    A common model for security price dynamics is the continuous-time stochastic volatility model. For this model, Hull and White (1987) show that the price of a derivative claim is the conditional expectation of the Black-Scholes ...
  • Gallant, A. Ronald; Tauchen, George (Econometric Theory, 1996-10)
    We describe an intuitive, simple, and systematic approach to generating moment conditions for generalized method of moments (GMM) estimation of the parameters of a structural model. The idea is to use the score of a density ...