A Ronald Gallant
Biographic Data
| ID | 5735522 |
|---|---|
| NAME | A Ronald Gallant |
| GIVEN NAMES | A Ronald |
| FAMILY NAME | Gallant |
| SIGNATURE | GALLANT A R |
| AFFILIATIONS | University of North Carolina at Chapel Hill |
| ORCID | 0009-0006-0658-6454 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 4 |
| AUTHOR COUNT | 7 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1981 |
| LATEST PUBLICATION YEAR | 2020 |
| H-INDEX | 1 |
Complementary Bayesian method of moments strategies
Methodology is proposed that addresses two problems that arise in application of the generalized method of moments representation of the likelihood in Bayesian inference: (1) a missing Jacobian term and (2) a normality assumption. The proposals are illustrated by application to the seminal application of the generalized method of moments methodology in the econometric literature: an endowment economy whose representative agent has constant relati…
Numerical Techniques for Maximum Likelihood Estimation of Continuous-Time Diffusion Processes
Stochastic differential equations often provide a convenient way to describe the dynamics of economic and financial data, and a great deal of effort has been expended searching for efficient ways to estimate models based on them. Maximum likelihood is typically the estimator of choice; however, since the transition density is generally unknown, one is forced to approximate it. The simulation-based approach suggested by Pedersen (1995) has great t…
Using Daily Range Data to Calibrate Volatility Diffusions and Extract the Forward Integrated Variance
Acommon 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 price with the forward integrated variance replacing the Black-Scholes variance. Implementing the Hull and White characterization requires both estimates of the price dynamics and the conditional distribution of the forward …
Remarks on my Term at JBES
Nonlinear Statistical Models
Y~=.('YO''Yl' 0, ... )
A Unified Theory of Estimation and Inference for Nonlinear Dynamic Models
Journal Article A Unified Theory of Estimation and Inference for Nonlinear Dynamic Models Get access A Unified Theory of Estimation and Inference for Nonlinear Dynamic Models. By A. RONALD GALLANT and HALBERT WHITE (Oxford: Basil Blackwell, 1988. Pp. viii + 155. £27.50 hardback. ISBN 0 631 15765 4.) James Davidson James Davidson University of California, San Diego and London School of Economics Search for other works by this author on: Oxford Aca…
On the bias in flexible functional forms and an essentially unbiased form
A Unified Theory of Estimation and Inference for Nonlinear Dynamic Models
Journal Article A Unified Theory of Estimation and Inference for Nonlinear Dynamic Models Get access A Unified Theory of Estimation and Inference for Nonlinear Dynamic Models. By A. RONALD GALLANT and HALBERT WHITE (Oxford: Basil Blackwell, 1988. Pp. viii + 155. £27.50 hardback. ISBN 0 631 15765 4.) James Davidson James Davidson University of California, San Diego and London School of Economics Search for other works by this author on: Oxford Aca…
On the bias in flexible functional forms and an essentially unbiased form
Nonlinear Statistical Models
Y~=.('YO''Yl' 0, ... )
A Unified Theory of Estimation and Inference for Nonlinear Dynamic Models
Journal Article A Unified Theory of Estimation and Inference for Nonlinear Dynamic Models Get access A Unified Theory of Estimation and Inference for Nonlinear Dynamic Models. By A. RONALD GALLANT and HALBERT WHITE (Oxford: Basil Blackwell, 1988. Pp. viii + 155. £27.50 hardback. ISBN 0 631 15765 4.) James Davidson James Davidson University of California, San Diego and London School of Economics Search for other works by this author on: Oxford Aca…
Remarks on my Term at JBES
Using Daily Range Data to Calibrate Volatility Diffusions and Extract the Forward Integrated Variance
Acommon 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 price with the forward integrated variance replacing the Black-Scholes variance. Implementing the Hull and White characterization requires both estimates of the price dynamics and the conditional distribution of the forward …
Numerical Techniques for Maximum Likelihood Estimation of Continuous-Time Diffusion Processes
Stochastic differential equations often provide a convenient way to describe the dynamics of economic and financial data, and a great deal of effort has been expended searching for efficient ways to estimate models based on them. Maximum likelihood is typically the estimator of choice; however, since the transition density is generally unknown, one is forced to approximate it. The simulation-based approach suggested by Pedersen (1995) has great t…
Complementary Bayesian method of moments strategies
Methodology is proposed that addresses two problems that arise in application of the generalized method of moments representation of the likelihood in Bayesian inference: (1) a missing Jacobian term and (2) a normality assumption. The proposals are illustrated by application to the seminal application of the generalized method of moments methodology in the econometric literature: an endowment economy whose representative agent has constant relati…
Computer Science (7 works) · Econometrics (7 works) · Mathematics (6 works) · Economics (5 works) · Statistics (5 works) · Mathematical economics (3 works) · Applied Mathematics (2 works) · Artificial Intelligence (2 works) · Economic theories and models (2 works) · Financial Risk and Volatility Modeling (2 works)