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为何高斯宏观金融期限结构模型几乎是不受约束的因子VARAI 解读

This paper explores the implications of filtering and no-arbitrage for the maximum likelihood estimates of the entire conditional distribution of the risk factors and bond yields in Gaussian macro-finance term structure model (MTSM) when all yields are priced imperfectly. For typical yield curves and macro-variables studied in this literature, the estimated joint distribution within a canonical MTSM is nearly identical to the estimate from an economic-model-free factor…

条件资产定价模型的估计与评价AI 解读

ABSTRACT We find that several recently proposed consumption‐based models of stock returns, when evaluated using an optimal set of managed portfolios and the associated model‐implied conditional moment restrictions, fail to capture key features of risk premiums in equity markets. To arrive at these conclusions, we construct an optimal Generalized Method of Moments (GMM) estimator for models in which the stochastic discount factor (SDF) is a conditionally affine function of a…

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具有移动平均误差的线性资产定价模型的有效估计AI 解读

This paper studies alternative methods for estimating parameters from multiperiod conditional moment restrictions. The authors' discussion is couched in the context of a multivariate linear time series model and they use the log-linear intertemporal asset pricing model as a prototype when comparing alternative econometric methods. They propose a generalized method of moments estimator that is scale invariant and is asymptotically equivalent to one used previously in…

资产价格马尔可夫模型的模拟矩估计AI 解读

This paper provides a simulated moments estimator of the parameters of dynamic models in which the state vector follows a time-homogeneous Markov process. Conditions are provided for both weak and strong consistency as well as asymptotic normality. Various trade-offs among the regularity conditions underlying the large sample properties of the simulated moments estimator are discussed in the context of an asset-pricing model. Geometric ergodicity of the underlying Markov…