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近年来,我国宏观流动性投放逐步由以前的被动投放(外汇占款)向主动投放转变,银行业资产配置结构更趋多元化,金融创新更加活跃,这些都在一定程度上改变了金融体系流动性传导的渠道和机制,迫使我们重新审视流动性在金融体系中消长、转移的内在逻辑,探讨新形势下流动性管理的合理方式和路径。本文运用动力系统模型来分析和论证银行资产配置结构变化对市场流动性状况的影响机制,以及中央银行流动性管理工具的有效性。研究表明,银行资产配置趋势的同质化容易导致市场流动性状况的恶化;中央银行需要进一步完善利率传导机制,强化货币政策与宏观审慎评估政策的协同配合,以提升流动性管理的有效性。 相似文献
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《Telecommunications Policy》2022,46(3):102263
Despite the importance of information and communications technology (ICT), previous studies of the business value of information technology have yielded mixed results. This study provides new empirical evidence that demonstrates the impact of cities' ICT on firm performance. A series of panel datasets are assembled to measure the improvement of city's ICT infrastructure and the change of firm performance during the years 2001–2016 in China. The findings demonstrate that city's ICTs positively promoted firm performance, including financial profitability, marketing performance and innovation performance. Instrumental variables are employed to verify the positive impact of city's ICTs infrastructure on firm profitability. Taking advantage of an exogenous variation of telecommunications upgrade as a natural experiment, this study uses the difference-in-difference approach to establish causality between cities' ICT infrastructure and firm profitability. Mechanisms are explored, which shows that better labour quality, lower costs and higher transparency are the three possible channels through which ICTs influence firm profitability. 相似文献
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The outbreak of the novel corona virus has heightened concerns surrounding the adverse financial effects of the outbreak on stock market liquidity and economic policies. This paper contributes to the emerging strand of studies examining the adverse effects of the virus on varied aspect of global markets. The paper examines the causality and co-movements between COVID-19 and the aggregate stock market liquidity of China, Australia and the G7 countries (Canada, France, Italy, Japan, Germany, the UK and the US), using daily three liquidity proxies (Amihud, Spread and Traded Value) over the period December 2019 to July 2020. Our empirical analysis encompasses wavelet coherence and phase-differences as well as a linear Granger causality test. Linear causality test results suggest that a causal relationship exists between the number of cases of COVID 19 infections and stock market liquidity. To quantitatively examine the degree of causality between COVID-19 outbreak and stock market liquidity, we employ the continuous wavelet coherence approach with results revealing the unprecedented impact of COVID-19 on stock market liquidity during the low frequency bands for countries that were hard hit with the COVID-19 outbreak, i.e., Italy, Germany, France, the UK and the US. Further, evidence shows that there is a heterogeneous lead-lag nexus across scales for the entire period of the study. 相似文献