ECONOMETRIC ANALYSIS OF CONTINUOUS TIME MODELS: A SURVEY OF PETER PHILLIPS’S WORK AND SOME NEW RESULTS
DOI10.1017/S0266466613000467zbMath1314.62281OpenAlexW2155820298MaRDI QIDQ2878817
Publication date: 5 September 2014
Published in: Econometric Theory (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1017/s0266466613000467
Applications of statistics to economics (62P20) Markov processes: estimation; hidden Markov models (62M05) Stochastic ordinary differential equations (aspects of stochastic analysis) (60H10) Research exposition (monographs, survey articles) pertaining to game theory, economics, and finance (91-02) Research exposition (monographs, survey articles) pertaining to statistics (62-02) Applications of stochastic analysis (to PDEs, etc.) (60H30)
Related Items (10)
Cites Work
- Unnamed Item
- The Pricing of Options and Corporate Liabilities
- A simple approach to the parametric estimation of potentially nonstationary diffusions
- Parameter estimation and bias correction for diffusion processes
- A two-stage realized volatility approach to estimation of diffusion processes with discrete data
- Taking a new contour: a novel approach to panel unit root tests
- Bias in the estimation of the mean reversion parameter in continuous time models
- Bias in estimating multivariate and univariate diffusions
- Pseudo-maximum likelihood estimation in two classes of semiparametric diffusion models
- Indirect inference for dynamic panel models
- Nonlinear principal components and long-run implications of multivariate diffusions
- Approximate bias correction in econometrics
- On the functional estimation of jump-diffusion models.
- The problem of aliasing in identifying finite parameter continuous time stochastic models
- A selective overview of nonparametric methods in financial econometrics
- Comment: A selective overview of nonparametric methods in financial econometrics
- Asymptotic Likelihood Based Inference for Co-integrated Homogenous Gaussian Diffusions
- A Theory of the Term Structure of Interest Rates
- Temporal Aggregation of Garch Processes
- Simulated Moments Estimation of Markov Models of Asset Prices
- ESTIMATING CONTINUOUS-TIME MODELS ON THE BASIS OF DISCRETE DATA VIA AN EXACT DISCRETE ANALOG
- NOTES ON BIAS IN ESTIMATION
- The Dimensionality of the Aliasing Problem in Models With Rational Spectral Densities
- Towards a unified asymptotic theory for autoregression
- The Estimation of Some Continuous Time Models
- Minimum contrast estimation in diffusion processes
- A YIELD‐FACTOR MODEL OF INTEREST RATES
- On estimating the diffusion coefficient from discrete observations
- Nonlinear Regressions with Integrated Time Series
- Likelihood Inference for Discretely Observed Nonlinear Diffusions
- Econometric Analysis of Realized Volatility and its Use in Estimating Stochastic Volatility Models
- Time Series Regression with a Unit Root
- Gaussian Estimation of Structural Parameters in Higher Order Continuous Time Dynamic Models
- The Distribution of Realized Exchange Rate Volatility
- Nonparametric Pricing of Interest Rate Derivative Securities
- Error Correction and Long-Run Equilibrium in Continuous Time
- Exactly Median-Unbiased Estimation of First Order Autoregressive/Unit Root Models
- A Continuous Time Econometric Model of the United Kingdom with Stochastic Trends
- An equilibrium characterization of the term structure
- A Closed-Form Solution for Options with Stochastic Volatility with Applications to Bond and Currency Options
- Fully Nonparametric Estimation of Scalar Diffusion Models
- Maximum Likelihood Estimation of Discretely Sampled Diffusions: A Closed-form Approximation Approach
- Semi-Parametric Comparison of Stochastic Volatility Models using Realized Measures
- Nonrecursive Models as Discrete Approximations to Systems of Stochastic Differential Equations
- A Tale of Two Time Scales
- Corrigendum to ‘A Gaussian approach for continuous time models of short‐term interest rates’
This page was built for publication: ECONOMETRIC ANALYSIS OF CONTINUOUS TIME MODELS: A SURVEY OF PETER PHILLIPS’S WORK AND SOME NEW RESULTS