经济政策不确定性、宏观杠杆率与经济增长 ——基于时变参数向量自回归模型的分析

本文构建经济政策不确定性、宏观杠杆率和经济增长的时变参数向量自回归模型,实证研究三者之间相互影响的潜在时变特征及其机制.研究发现:经济政策不确定性上升在绝大多数时间内会降低产出增速,但在经济低迷时期也能促进经济增长;经济政策不确定性对宏观杠杆率的影响在2012年之前主要体现为负向冲击,但在2012年之后,经济政策不确定...     

房价波动、金融稳定与最优宏观审慎政策

本文通过构建包含家庭住房抵押借款摩擦和银行贷款摩擦的动态随机一般均衡模型,重点考察了异质性冲击下房价波动对金融稳定的影响。研究发现,房价上涨会导致银行风险溢价及杠杆率显著上升,进而加剧金融体系的内在不稳定。为降低房价波动及维护金融稳定,选取两类宏观审慎政策工具进行逆周期调控实验,结果表明,在住房需求冲击下,金融管理部门应选取贷款价值比政策,且应对房贷积极调控,而对房价进行中性调控。在最终产品部门生产率冲击、房地产部门生产率冲击及跨期偏好冲击下,应选取资本充足率政策,但对房贷和房价调控力度的把握则存在差异。本研究为厘清房价波动对金融稳定的动态传导机制,以及金融管理部门如何选取宏观审慎政策工具以稳定房价并降低系统性金融风险提供了启示。     

我国财政政策的调控效果分析——基于政策不确定性视角北大核心CSSCI

在政府部门运用财政政策进行宏观调控的同时,政策及其不确定性对宏观经济的影响越来越受到社会各界的关注。已有研究在对政策不确定性的影响进行实证分析时普遍都忽视了其背后的政策内涵,本文采用符号约束SVAR模型对不同政策不确定性背景下的财政政策冲击进行研究。研究发现:不同政策不确定性背景下的财政政策冲击对宏观经济变量的影响具有非对称性,政策不确定性上升情形下的财政政策会导致我国的经济波动加剧。本文的研究填补了已有的实证分析文献在将财政政策冲击与政策不确定性相结合来进行财政政策效果评价方面的研究空白,为政策不确定性对宏观经济的影响等方面的研究提供了更具政策内涵的新的解释。     

住房价格、金融稳定与宏观审慎政策

本文通过建立包含异质性家庭、异质性厂商和金融机构的DSGE模型,分析对预期房价作出反应的货币政策和宏观审慎政策的传导机制和政策效果,研究不同政策的选择和协调问题。研究发现,首先,由于政策的作用范围不同,不同政策会对金融稳定和经济稳定产生不同影响。对预期房价作出反应的货币政策能够抑制住房需求和信贷供给,但也会抑制消费需求和产出;而对预期房价作出反应的逆周期LTV政策和逆周期资本充足率政策在应对房价波动导致的金融稳定问题时更加有的放矢。其次,外生冲击的来源会影响政策的选择和协调——当经济波动来源于需求冲击时,固定LTV政策搭配逆周期资本充足率的宏观审慎政策、不对预期房价作出反应的货币政策表现最优;当经济波动来源于供给冲击时,固定LTV政策搭配逆周期资本充足率的宏观审慎政策、对预期房价作出反应的货币政策表现最优。     

不确定性的波动性特征及经济效应的国外研究综述

不确定性一直以来是风险管理的重要研究对象,也是经济和金融最显著的特征之一。然而,对于不确定性的波动性特征及其经济效应的理论和实证研究在08年金融危机后才引起国外学术界的关注。国外学者一方面致力于研究如何构建不确定性的宏微观指标和综合代理变量,并分析不确定性在不同经济环境下的波动性特征及内在原因,另一方面通过理论和实证分析不确定性对于经济增长、消费、企业投资的经济效应以及对金融危机和经济复苏的影响。基于上述背景,本文讨论了国外学术界关于不确定性的衡量指标、不确定性的逆周期特征以及不确定性对宏观变量经济效应的最新研究成果。     

我国房地产市场的金融加速器效应检验

本文使用面板向量自回归模型(PVAR)对我国35个大中城市2003年到2009年期间房屋销售价格、信贷供给、真实利率、真实产出、人口等变量之间的互动关系进行了实证检验.脉冲响应函数显示,信贷供给对于房价变量的冲击具有显著的长期正向响应;而房价变量对于真实利率的冲击具有期限较长的显著负向响应,方差分解也得到了相似的结果.以上实证结果验证了以房地产价格波动机制为传导途径的金融加速器效应在我国城市信贷市场上是非常明显的.     

美国不确定性冲击对全球股市波动的影响研究

选取2000—2021年美国经济、金融、经济政策和地缘风险四类不确定性指数以及全球GDP排行前15国家股市收益率数据,基于多维不确定性冲击框架,运用单因子、双因子和多因子混频波动率GARCH-MIDAS模型,从样本内拟合与样本外预测两个方面实证考察美国不确定性冲击对全球主要国家股市波动的差异化影响。研究表明：美国经济不确定性和金融不确定性对多数国家股市长期波动均有正向推动作用,其中,美国金融不确定性的影响最为广泛;美国金融不确定性是影响中国股市长期波动的主要因素,且中美贸易摩擦主要通过美国金融不确定性传导;美国经济政策不确定性上升会增加俄罗斯和墨西哥股市长期波动,美国地缘风险对意大利股市长期波动存在显著正向影响。     

美元指数波动对我国资本流动的非对称效应研究 ——基于MS-VAR模型的分析

随着资本市场开放,我国资本流动加快。为防范短期资本的大幅波动,本文选取2006年10月～2018年4月的月度数据,使用GARCH模型测度美元指数波动的幅度,并运用MS-VAR模型分析美元指数波动率以及其他变量对我国资本流动的影响。实证结果显示:包含美元指数波动率在内的各因素变量会对我国资本流动产生一定影响,但这种影响在不同区制下各不相同,即存在非对称效应;在资本流动结构方面,在国际资本流出和流入状态下,美元指数等变量对资本流动的影响也不相同。     

多来源经济不确定性对人民币汇率波动的影响研究 ——基于多因子GARCH-MIDAS模型的分析

将经济不确定性拓展为宏观经济不确定性、经济政策不确定性和相关金融市场不确定性等多个维度,基于混频多因子GARCH-MIDAS模型实证检验多来源的经济不确定性对人民币汇率波动产生影响的异质性,并研究不同维度经济不确定性对人民币汇率波动的预测能力大小.研究结果表明:宏观经济不确定性对人民币汇率的波动具有显著正向影响,并且影响时间也较为持续;在中国、美国和世界经济政策不确定性中,美国的经济政策不确定对人民币汇率波动呈显著负向作用,而中国和世界的经济政策不确定性则是起显著的正向作用,且和宏观经济不确定性相比持续时间更长;和前两个维度经济不确定性相比,相关金融市场不确定性在影响强度和周期上都呈现弱化态势.同时,通过实证分析发现,加入不同维度的经济不确定性指标的多因子GARCH-MIDAS模型均能提高对人民币汇率波动率的预测精度,但相比较而言经济政策不确定性和宏观经济不确定性的预测能力更强.     

分析师报告在经济政策不确定时期具有更高的信息含量吗?——基于投资者需求和分析师供给的双重视角

本文基于投资者需求和分析师供给的双重视角,系统地分析了经济政策不确定性对分析师报告信息含量的影响。主要研究发现,分析师报告在经济政策不确定时期具有更高的信息含量。基于投资者需求视角的分析指出,政策波动对分析师报告信息含量的正向影响主要集中在受不确定性冲击较大的非国有和高成长性企业中;基于分析师供给视角的分析指出,在经济政策不确定性较高的时期,分析师会更加努力地工作,同时发布更准确的研究报告。进一步分析还发现,券商的政治联系会加深投资者在政策波动时期对分析师报告的依赖程度并且有助于提高其面临不确定性时的预测准确度。本文将投资者需求引入经济政策不确定性和分析师的互动模型中,从资本市场信息中介的研究视角为经济政策不确定性的影响后果提供了实证证据,并验证了Hutton等(2012)提出的分析师的相对宏观信息优势假说。     

Short-sale refinancing and price adjustment speed to bad news: Evidence from a quasi-natural experiment in China

Short selling may accelerate stock price adjustment to negative news. However, the literature provides mixed evidence for this prediction. Using short-sale refinancing and a staggered difference-in-differences (DID) model, this paper explores the effect of short selling on stock price adjustment. Our results show that (1) short-sale refinancing improves the speed of stock price adjustment to negative news. This result holds after we control for endogeneity. (2) The positive relationship between short-sale refinancing and stock price adjustment speed is significant in subsamples of stocks with higher earnings management or lower accuracy of analyst forecasts, indicating that firms with more opaque information are more likely to be targeted by short sellers. In subsamples of stocks with a higher ownership concentration or lower ownership by institutional investors, short selling is more likely to increase the speed of stock price adjustment, indicating that ownership structure may influence negative news mining. (3) As short-sale refinancing exacerbates the absorption of bad news by stock prices, it increases crash risk. This study enriches the research on the economic consequences of short selling and provides empirical evidence supporting regulations on short selling in China.     

Guidelines for Manuscripts Submitted to The China Journal of Accounting Research

正The China Journal of Accounting Research"CJAR"(ISSN 1755-3091)publishes quarterly.It contains peer-reviewed articles and commentaries on accounting,auditing and corporate governance issues that relate to the greater China region.We welcome the submission of both theoretical and empirical research papers pertinent to researchers,regulators and practitioners.Authors should note:     

The China puzzle: Opportunities for accounting research

How can China achieve phenomenal economic growth despite what is considered as 'weak' institutions in market-based economies? Xu(2011) provides a framework to u...     

Aims and Scope

<正>The focus of the China Journal of Accounting Research is to publish theoretical and empirical research papers that use contemporary research methodologies to...     

Income smoothing and the cost of debt

The literature on income smoothing focuses on the effect of earnings smoothing on the equity market.This paper investigates the effect of income smoothing on th...     

The case for management history

This article defines the case for treating management history as a discrete subject area, although one closely related to business, accounting, labour, and industrial history. It seeks to concentrate on the nature, process, and practice of management as an activity within the organization, and to argue that it is important that modern British managers understand the intellectual and cultural roots of their profession, since without these they will tend to be swayed by short-term management 'fads'. Within the broad topic there are several identifiable sub-areas for potential exploration, including the comparative historical development of management between different countries, management institutions, managerial careers and labour markets, management structures, management skills, and management thought and theory.     

The life and career of John Spence Ogilvy (1805-71), the first chartered accountant to emigrate to Australia

So far as the available evidence allows, this paper examines the life and career of John Spence Ogilvy, foundation member of the Society of Accountants in Edinburgh in 1854, who emigrated to Melbourne in 1856, but did not play a part in the development of an organized accounting profession in Australia. The paper also attempts to explain the gap of thirty-two years between the formation of the first accounting bodies in Edinburgh and Melbourne.     

Female CFOs and loan contracting: Financial conservatism or gender discrimination? – An empirical test based on collateral clauses

Based on signaling and gender discrimination theory, we examine whether chief financial officer(CFO) gender matters to bank–firm relationships and the designing...     

Guidelines for Manuscripts Submitted to The China Journal of Accounting Research

<正>The China Journal of Accounting Research‘‘CJAR’’(ISSN 1755-3091)publishes quarterly.It contains peer-reviewed articles and commentaries on accounting,auditin...     

Bayesian Premium Rating with Latent Structure

We propose a fully Bayesian approach to non-life risk premium rating, based on hierarchical models with latent variables for both claim frequency and claim size. Inference is based on the joint posterior distribution and is performed by Markov Chain Monte Carlo. Rather than plug-in point estimates of all unknown parameters, we take into account all sources of uncertainty simultaneously when the model is used to predict claims and estimate risk premiums. Several models are fitted to both a simulated dataset and a small portfolio regarding theft from cars. We show that interaction among latent variables can improve predictions significantly. We also investigate when interaction is not necessary. We compare our results with those obtained under a standard generalized linear model and show through numerical simulation that geographically located and spatially interacting latent variables can successfully compensate for missing covariates. However, when applied to the real portfolio data, the proposed models are not better than standard models due to the lack of spatial structure in the data.