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market. Therefore, the current research focuses in the stock forecasting area is to improve the accuracy of stock trading … stock market forecasting. …
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This paper studies method of simulated moments (MSM) estimators that are implemented using Bayesian methods, specifically Markov chain Monte Carlo (MCMC). Motivation and theory for the methods is provided by Chernozhukov and Hong (2003). The paper shows, experimentally, that confidence intervals...
Persistent link: https://www.econbiz.de/10012642418
Economists typically make simplifying assumptions to make the solution and estimation of their highly complex models feasible. These simplifications include approximating the true nonlinear dynamics of the model, disregarding aggregate uncertainty or assuming that all agents are identical. While...
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We postulate a nonlinear DSGE model with a financial sector and heterogeneous households. In our model, the interaction between the supply of bonds by the financial sector and the precautionary demand for bonds by households produces significant endogenous aggregate risk. This risk induces an...
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Most factor-based forecasting models for the term structure of interest rates depend on a fixed number of factor … forecasting model that learns new factor decompositions directly from data for an arbitrary number of factors, combining a …
Persistent link: https://www.econbiz.de/10013355189