检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:江春[1] 司登奎[1] 李小林[2] JIANG Chun;SI Dengkui;LI Xiaolin(School of Economics and Management, Wuhan Universit;School of Economics, Ocean University of Chin)
机构地区:[1]武汉大学经济与管理学院,湖北武汉430072 [2]中国海洋大学经济学院,山东青岛266100
出 处:《金融研究》2018年第2期82-99,共18页Journal of Financial Research
基 金:国家社科基金重大项目"扩大中国金融业双向开放的关键问题研究"(15ZDC020)的资助
摘 要:文章将股价、央行外汇干预及汇率预期纳入拓展的泰勒规则汇率模型之中,在两国开放泰勒规则汇率模型分析框架下阐释人民币汇率变动的微观机理,采用平滑转换模型并选择2005年7月至2016年7月研究样本进行实证分析。结果发现拓展泰勒规则汇率模型中的变量对人民币汇率的影响具有显著的区制转换特征,人民币汇率的动态变化会依托于异质性区制环境而呈现非对称性特点。我们进一步采用含随机波动的贝叶斯时变向量自回归模型从时变演进视角刻画了人民币汇率的动态变化,发现拓展泰勒规则汇率模型中的变量对人民币汇率的影响既存在一定的滞后,又在短期与长期内存在显著差异。我们还发现拓展的泰勒规则汇率模型对于中国短期货币政策的操作和执行具有较强的解释力。本研究为公众在新的人民币汇率形成机制条件下认识人民币汇率动态变化规律、波动成因提供启示。This paper extends the Taylor rule theoretical model with stock price,central bank intervention and exchange rate expectation,and investigates the microscopic mechanisms under the two-country model of Taylor rule exchange rate framework. For this purpose,we further apply smooth transition auto-regression model from the view of regime-switching during the period from July 2005 to July 2016. Our result shows that the impact of extend Taylor rule on exchange rate is significantly regime-switching and asymmetric. We also employ Bayesian time-varying VAR model with stochastic volatility to depict the dynamic determination of RMB exchange rate,and find that the extend Taylor rule has a certain lagged effect on RMB exchange rate and such an effect is different between short and long run. Besides,we also find that extended Taylor rule exhibits much higher power in explaining the conduction of monetary policy of China in the short term. Our paper provides a new insight for the public to understanding the regularity and causes of RMB exchange rate fluctuation.
关 键 词:泰勒规则 汇率 非对称 贝叶斯时变向量自回归
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.222