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On generalized arbitrage pricing theory analysis: empirical investigation of the macroeconomics modulated independent state-space model

机译:广义套利定价理论分析:宏观经济学调制的独立状态空间模型的实证研究

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The inception of Markowitz's (1952) modern portfolio theory has also fuelled the development of asset pricing models for empirical finance, ranging from linear single-factor models like the capital asset pricing model to fairly complex multi-factor models such as the arbitrage pricing theory (APT). It is well-known in the literature of finance that APT could be used for modelling the underlying security returns generation process. We investigate a generalized version of the APT model, called the macroeconomics modulated independent state-space model, in terms of model specification adequacy as well as its performance on prediction. Empirical results reveal that the model is not only well-specified, but also superior to the temporal factor analysis model in stock price and index forecasting, thanks to its salient capabilities of modelling both short-term and long-term market dynamics.
机译:Markowitz(1952)现代投资组合理论的诞生也推动了实证金融的资产定价模型的发展,从线性单因素模型(例如资本资产定价模型)到相当复杂的多因素模型(例如套利定价理论)(易于)。在金融文献中众所周知,APT可用于对基础证券收益生成过程进行建模。我们根据模型规范的充分性及其对预测的性能,研究了APT模型的广义版本,称为宏观经济学调制的独立状态空间模型。实证结果表明,该模型不仅具有良好的规范性,而且由于其对短期和长期市场动态建模的显着能力,因此在股票价格和指数预测中也优于时间因素分析模型。

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