Estimation of Continuous-time Models
Maximum likelihood and Gaussian estimation of continuous time models in finance
... estimating continuous time ...different estimation meth- ods, including the exact ML method or approximate ML methods, and in doing so will inherit the good asymptotic properties of these base ...
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Maximum Likelihood and Gaussian Estimation of Continuous Time Models in Finance
... II estimation procedure essentially builds in a small-sample bias correction to parameter estimation, with the bias (in the base estimate, like ML) being computed directly by ...estimating continuous ...
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Maximum Likelihood and Gaussian Estimation of Continuous Time Models in Finance
... II estimation procedure essentially builds in a small-sample bias correction to parameter estimation, with the bias (in the base estimate, like ML) being computed directly by ...estimating continuous ...
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Bias in the Estimation of the Mean Reversion Parameter in Continuous Time Models
... using continuous time models in economic theory ...estimating continuous time models, aiming to provide a basis from which these models may be used in empirical ...of ...
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Bias in the Estimation of the Mean Reversion Parameter in Continuous Time Models
... using continuous time models in economic theory ...estimating continuous time models, aiming to provide a basis from which these models may be used in empirical ...of ...
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Two Approaches for Guaranteed State Estimation of Nonlinear Continuous-Time Models
... Nonlinear Continuous-Time Models Marco Kletting, Michel Kieffer ( ), and Eric Walter Abstract This paper deals with the estimation of the state vector of a nonlinear ...
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The estimation of continuous time models with mixed frequency data
... 3. Estimation, based on the Gaussian likelihood, is discussed in Section 5, which also covers some computational issues and reports the results of a simulation exercise involving stationary as well as cointegrated ...
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Maximum Likelihood and Gaussian Estimation of Continuous Time Models in Finance
... di¤erent estimation methods, including the exact ML method or approximate ML methods, and in doing so will inherit the good asymptotic properties of these base ...same time achieving substantial bias ...
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A Simulation Test for Continuous-Time Models
... Introduction Continuous-time models are widely used in …nance to capture the dynamics of economic time series, such as interest rates, stock prices and foreign exchange ...the ...
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Three Econometric Essays on Continuous Time Models
... studying estimation in multivariate continuous time models with discrete ...long time span asymptotics and explicit formulae for the matrix bias approximations are ...multivariate ...
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Stimulated Maximum Likelihood Estimation of Continuous Time Stochastic Volatility Models
... the estimation EIS-MLE procedure produces downward biased estimates of γ when the log-volatility is ...long time series will be needed to identify γ with a decent precision for when the true parameter is in ...
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Simulated Maximum Likelihood Estimation of Continuous Time Stochastic Volatility Models
... Continuous time stochastic volatility (SV) models have been proven to be very useful for pricing options (See for example the seminal contributions by Hull and White (1987) and Heston ...likelihood ...
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Stimulated Maximum Likelihood Estimation of Continuous Time Stochastic Volatility Models
... that conflicts with the continuous time model. In Section 3, some MC experiments are conducted to verify that an approximate likelihood function based on the EM-scheme (3) with observed log-volatility does ...
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Estimation of Life Expectancies Using Continuous-Time Multi-State Models
... the estimation of life expectancies can be applied to processes with multiple death states, but the current version of elect does not support ...define models for a stochastic process with many states, ...
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A Bayesian Estimation of HANK models with Continuous Time Approach:Comparison between US and Japan
... IN T t is quarterly averages of monthly uncollateralized call rate obtained from the Bank of Japan. Similary , we adopt real GDP, CPI inflation, FFR between 1983:Q1 and 2018:Q1 for US. Table 1 represent calibration ...
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Recursive Estimation for Continuous Time Stochastic Volatility Models Using the Milstein Approximation
... parameter estimation for semimartingales had been studied in ...sampled continuous time stochastic volatility models using the Milstein ...
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Estimation of Dynamic Discrete Choice Models in Continuous Time with an Application to Retail Competition
... choice models in continuous time that is computationally light and readily applicable to dynamic ...for estimation and makes it possible to compute counterfactual simulations for relatively ...
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Estimation of time-varying mortality rates using continuous models for Daphnia magna
... population models can be used to quantitatively propagate organismal level risk assessment information, such as density- independent survival data, to the population ...the estimation of density-independent ...
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Calibration of continuous glucose monitoring sensors by time-varying models and Bayesian estimation
... Sommario I sensori minimamente invasivi per il monitoraggio in continua della glicemia, indicati con l’acronimo CGM (continuous glucose monitoring), sono dei di- spositivi medici indossabili capaci di misurare la ...
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Fast maximum likelihood estimation using continuous-time neural point process models
... space models, Markov-chain Monte Carlo methods of neu- ral decoding, and spatially varying firing rates are estimated in O(n) time, enabled by the banded structure of relevant ...of time-steps in the ...
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