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bayesian learning
相关语句
  贝叶斯学习
    Chapter four is "Static and Dynamic Bayesian Learning".
    第四章是探讨静态信息和动态信息的贝叶斯学习
短句来源
    In the one hand, it constructs static Bayesian Learning by the probability theory;
    本章从两个方面展开分析:第一个方面,用概率论和数理统计的理论,本章建立了基于静态信息的贝叶斯学习模型,它描述了投资者如何通过贝叶斯学习将信息融入其对后验均值的看法;
短句来源
    in the other hand, it develops dynamic Bayesian Learning using filtering theory.
    第二个方面,本章用滤波理论建立基于动态信息的贝叶斯学习模型,描述投资者如何通过贝叶斯学习将动态信息融入其对后验均值的看法。
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  bayesian learning
A system-based decision logic predicated on subjective and objective probabilities is developed incorporating the Bayesian learning process.
      
Besides allowing for exact Bayesian learning, these results permit us to formulate a new class of tractable latent variable models in which the likelihood of a data point is computed through an ensemble average over tree structures.
      
Tractable Bayesian learning of tree belief networks
      
This paper uses a Bayesian learning model to assess the respective influence of different risk measurements on mortality risk perceptions.
      
Also, the results suggest that the determinants of risk perception are consistent with the predictions of a Bayesian learning framework.
      
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From the perspective of "Posterior Mean" of asset return, the paper constructs "the Behavioral Asset Pricing Model Based on Conservism Bias" by the methods of Economics of Information, Microstructure Theory and Dynamic Stochastic Control. The model proves that the conservism bias, due to the psychology of investors, will lead to mispricing. Firstly, we prove "an Asset Pricing Model Based on Perfect Rationality" under the assumption of the random walk of dividend. Then, we use static Bayesian Learning to...

From the perspective of "Posterior Mean" of asset return, the paper constructs "the Behavioral Asset Pricing Model Based on Conservism Bias" by the methods of Economics of Information, Microstructure Theory and Dynamic Stochastic Control. The model proves that the conservism bias, due to the psychology of investors, will lead to mispricing. Firstly, we prove "an Asset Pricing Model Based on Perfect Rationality" under the assumption of the random walk of dividend. Then, we use static Bayesian Learning to describe how information is integrated into the posterior mean about asset return. Lastly, we construct a Behavioral Asset Pricing Model Based on Conservism Bias. Our model can explain some anomalies in capital market.

本文采用信息经济学、微观结构理论和动态规划的方法,从考察投资者接受新信息后形成对资产价值的后验看法入手,通过理论建模,根据投资者认知偏差的保守性偏差因素建立了一个行为资产定价模型。在基于完全理性的资产定价模型和投资者对信息的贝叶斯学习模型的基础上,文章先构建了一个基于保守性偏差的行为资产定价模型,然后用其证明了保守性偏差会导致资产误定价,最后用保守性偏差引起资产的误定价来解释了证券收益率的异象。

>=From the perspective of "Posterior Mean" of asset return, the paper constructs "Behavioral Asset Pricing Model Based on Conservism Bias". The model proves the conservism bias due to psychology of investor will lead to mispricing. Firstly, we develop an "Asset Pricing Model Based on Perfect Rationality" under the assumption of the random walk of dividend. Then, we construct static Bayesian Learning by the probability theory. Lastly, we construct Behavioral Asset Pricing Model Based on Conservism Bias....

>=From the perspective of "Posterior Mean" of asset return, the paper constructs "Behavioral Asset Pricing Model Based on Conservism Bias". The model proves the conservism bias due to psychology of investor will lead to mispricing. Firstly, we develop an "Asset Pricing Model Based on Perfect Rationality" under the assumption of the random walk of dividend. Then, we construct static Bayesian Learning by the probability theory. Lastly, we construct Behavioral Asset Pricing Model Based on Conservism Bias. Our model can explain some anomalies in capital market.

本文的研究是从考察投资者接受新信息后形成对资产收益的后验看法入手,采用理论建模的方法,引入投资者认知偏差的保守性偏差因素建立资产定价模型,提出了基于保守性偏差的行为资产定价模型,该模型可以证明保守性偏差会导致资产误定价。具体而言,首先,在假设股利遵循随机过程的基础上,文章建立一个基于完全理性的资产定价模型。接着,文章构建信息的贝叶斯学习模型,描述信息如何融入投资者对资产价值的后验看法。最后,文章构建了基于保守性偏差的行为资产定价模型。本文的模型可以用保守性偏差引起的资产的误定价来解释证券收益率的异象。研究方法上,一方面引入微观结构领域的研究成果,用概率论和数理统计理论的方法来刻画投资者对信息的贝叶斯学习过程;另一方面用动态规划理论建立的行为资产定价模型。

 
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