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Study on the interactive mechanism of economic growth, inflation and capital markets using dynamic Bayesian factor graph

机译:动态贝叶斯因子图研究经济增长,通胀与资本市场的互动机制

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With the deepening of economic globalization and financial liberation, capitalization degree can no longer be ignored for its influence on the relationship between economic growth and inflation. In consideration of the evolvement from the period of industrialization to economic financialisation of the U.S., through the Bayesian network learning of rolling time window, the study concentrate on the dynamic transmission mechanism between economic growth, inflation and capital markets. It turns out that the interactive relationship between capital markets and economic operation is becoming closer and closer. Furthermore, in the order of bond, stock and real estate markets, indicators related to capital markets gradually enter into the transmission mechanism of economic growth and inflation.
机译:随着经济全球化和金融自由化的不断深入,资本化程度对经济增长与通货膨胀之间关系的影响已不容忽视。考虑到美国从工业化时期到经济金融化的演变,通过滚动时间窗的贝叶斯网络学习,该研究集中于经济增长,通货膨胀和资本市场之间的动态传递机制。事实证明,资本市场与经济运行之间的互动关系越来越紧密。此外,按照债券,股票和房地产市场的顺序,与资本市场有关的指标逐渐进入经济增长和通货膨胀的传导机制。

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