货币中介目标的国际比较*——基于DAG SVAR模型

学术界围绕最优货币中介目标的选择,在利率、简单加总货币量、迪维西亚货币量之间争论不休。本文基于DAG SVAR模型,分别对美国、欧元区、英国的银行间隔夜拆借利率R、简单加总货币量M2、迪维西亚货币量D2对物价P、产出Y影响的相对重要性进行实证比较。结果发现,在美国,M2对Y的影响最大,R对P的影响最大;在欧元区,D2对Y的影响最大,M2对P的影响最大;在英国,M2对Y和P的影响都最大。总的来说,若货币最终目标是经济增长,则美国、英国的最优中介目标是简单加总货币量,欧元区的最优中介目标是迪维西亚货币量;若货币最终目标是物价稳定,则美国的最优中介目标是利率,欧元区、英国的最优中介目标是简单加总货币量。由此可见,对于不同的经济体或者不同的货币最终目标,最优中介目标的选择可能有所不同。本文的研究结论在一定程度上是对“利率普遍优于货币量,迪维西亚货币量普遍优于简单加总货币量”学术共识的反向补充。     

The multi-market analysis of a housing price transmission model

In this article, we examine dynamic relationships among housing prices from four first-tier cities in China from December 2000 to May 2010 and present an equilibrium model of housing price in multi-markets. By explicitly incorporating and modelling endogenous price series in competing housing markets, our empirical model is able to capture the existence of long-run equilibrium relationships and important short-run dynamics and price structures such as price leadership, price transmission lag and asymmetric price responses. Such multi-market analysis has generalized implications and can easily be applied to analyse the pricing dynamics among other real estate markets in the world. Our major contribution lies in two aspects. First, we employ an Error-Correction Model (ECM) with Directed Acyclic Graphs (DAG) to study the price dynamics in the four largest and key housing markets in China. Second, we uncover a price transmission among these housing markets in China and provide an insightful understanding of price adjustment across markets. The revealed effective price transmission and high correlation among these different markets actually is not a good thing for a stable financial system and for the defence against price bubbles in the housing market.     

How strong are the linkages between real estate and other sectors in China?

International experience points to the critical role of stable property markets in maintaining financial stability. This paper investigates the real and financial linkages between real estate sector and other sectors. The real linkage based on input–output analysis shows that the linkages have strengthened. The financial linkages in terms of credit risk spillovers across sectors are studied by using DAG method and SVAR. We find that that credit risk in the real estate sector has large-scale spillover effects onto other sectors. Consequently, shocks to the property market could have much larger impact on the Chinese economy than suggested by headline figures.     

美元贬值对中国通货膨胀的影响:传导途径及其效应

本文结合有向无环图方法(DAG)及结构向量自回归模型(SVAR),分别从成本推动渠道、资金输入渠道和货币扩张渠道就美元贬值对我国通货膨胀影响的传导途径及其效应进行了实证研究。分析表明,由成本推动渠道,美元贬值会迅速带动我国工业品出厂价格上涨,能源价格、食品价格和金属价格的传导效应都很显著,而推动我国居民消费价格走高则存在一定时滞,主要依赖食品价格传导。此外,国际大宗商品价格上涨对我国通货膨胀的影响更侧重于生产领域。由资金输入渠道,美国联邦基金利率走低和美元指数下滑会带动国内商品房销售价格和资本市场价格的结构性上升,进而拉动我国通货膨胀,其中以市场利率和短期资本流动传导尤为显著。由货币扩张渠道,美元贬值对我国工业品出厂价格的影响更为显著,货币扩张主要通过外汇占款和人民币升值预期对我国通货膨胀产生影响,且以对消费领域的影响较为明显。本文的研究显示,我国当前承受着较大的输入型通货膨胀压力。     

粤港澳经济一体化的实证分析

本文运用HP滤波、迭代的相关分析、Granger因果检验、DAG技术、结构VAR模型、预测误差方差分解等方法分析了粤港澳经济增长和经济周期之间的联系，结果表明，在样本期内：粤港和粤澳之间经济增长和经济周期的同步性比港澳之间经济增长和经济周期的同步性弱，而且粤港和粤澳之间经济增长和经济周期的同步性正处于下降时期；粤港澳之间经济增长不存Granger因果联系；只有港澳之间经济波动存在显著的同期因果关系；粤港和粤澳经济波动的相互解释能力是有限的，它们比香港对澳门的解释能力差。     

Influence Diagrams for Causal Modelling and Inference

We consider a variety of ways in which probabilistic and causal models can be represented in graphical form. By adding nodes to our graphs to represent parameters, decision, etc ., we obtain a generalisation of influence diagrams that supports meaningful causal modelling and inference, and only requires concepts and methods that are already standard in the purely probabilistic case. We relate our representations to others, particularly functional models, and present arguments and examples in favour of their superiority.     

聚集条件下的多企业间外溢效应-基于DAG与Granger的面板分析

本文结合DAG和Granger技术,采用2000—2007年代表性城市A股上市公司的季报数据为样本,刻画市级产业聚集内多个企业之间的外溢效应。研究表明:多企业之间存在同期正向外溢效应和滞后的负向外溢效应;聚集缓解了挤占效应;正向外溢效应的所有权特征和产业特征显著,而挤占效应的这两项特征不显著;网状或链型的外溢效应路径产生放大或传递效应。通过本研究还得以挖掘出聚集区域内的溢出中心和吸收中心,为核心企业的培育提供经验支持。     

Capture the contagion network of bitcoin – Evidence from pre and mid COVID-19

COVID-19 is the first global scale crisis since the inception of Bitcoin. We compare the contagion phenomenon of Bitcoin and other financial markets or assets pre and during the COVID-19 shock in both contemporaneous and non-contemporaneous manner. This paper uses the directed acyclic graph (DAG), spillover index, and network topology to provide strong evidence on the directional contagion outcomes of Bitcoin and other assets. The empirical results show that the contagion effect between Bitcoin and developed markets is strengthened during the COVID-19 crisis. Particularly, European market has a dominant role. Excluding Bitcoin’s own shocks, United State and European markets are the main contagion sources to Bitcoin. European market also works as a intermediary to deliver infectious from United State and market fear. The findings show that gold always has contagion effect with Bitcoin, while gold, US dollar and bond market are the contagion receivers of Bitcoin under the shock of COVID-19. The empirical results further proved the safe haven, hedge and diversifier potential of Bitcoin in economic stable time, but also shows that the sustainability of these properties is undermined during the market turmoil.     

中国各地区出口的信息传导机制研究

本文首次运用指向非循环图(DAG)方法排列出我国八个主要出口地区的出口同期因果关系,在此基础上进行结构VAR建模以及预测误差方差分解,进一步考察了各地区出口的信息传导过程.实证结果表明:北京、上海是我国出口的领导者;同处我国经济中心--"长三角"的上海、江苏和浙江的联系非常紧密;山东在我国的出口市场有着重要的连接作用;广东出口的辐射功能非常有限,这与它贸易大省的地位不相称.     

中国货币政策对股票市场影响的再考察

本文运用DAG方法、VAR模型和马尔科夫转换模型考察了货币政策对股市价格水平的影响,结果表明中短期内货币政策对股票市场价格水平存在影响显著,并表现出较强的非对称效应。股市低迷期的紧缩性货币政策会进一步降低股市收益率,减小股市从熊市转入牛市的概率;相反,股市繁荣期的紧缩性货币政策将增加股市从牛市转入熊市的概率。