我国四部门金融杠杆对系统性金融风险的影响——基于空间溢出视角

基于金融杠杆对系统性金融风险的区域内和区域间作用机制的理论分析,运用空间偏微分方法,依据测算出的2010—2019年我国各省（区、市）四部门金融杠杆和系统性金融风险数据,考量我国四部门金融杠杆对系统性金融风险的空间溢出。结果显示：我国系统性金融风险具有较强的空间趋同性特征;由于金融杠杆部门结构和所在区域的不同,其对系统性金融风险的区域内溢出存在显著差异;此外,金融杠杆对系统性金融风险的区域间外溢效应明显,忽视该区域间溢出,将不利于准确评估金融杠杆对系统性金融风险的冲击。     

产业组织角度的合作R＆D研究述评

合作R＆D是企业整合研发资源的有效组织形式。本文对产业组织角度的合作R＆D研究进行了较为细致的综述。首先列举了对合作R＆D理论具有一定影响的经验研究；然后梳理了产业组织角度的合作R＆D主流理论；之后介绍了较有代表性的非主流理论研究；最后是全文结论和留待进一步研究的论题。     

技术特征不同行业中FDI技术外溢效果的考察——基于非参数分析方法的研究

本文通过非参数性方法得到全要素生产率,考察了FDI对我国工业行业技术进步的影响。发现FDI外溢效果在科技含量高的行业中较为明显,在低科技行业中效果较差。并且通过进一步观察发现在外溢效果显著的行业中,技术外溢效果的显著性排名与行业中内资部门的技术进步排名高度吻合。因此我们应调整引资结构,吸引更多外资流入高科技行业以促进我国技术进步。     

Multivariate volatility forecasts for stock market indices

Volatility forecasts aim to measure future risk and they are key inputs for financial analysis. In this study, we forecast the realized variance as an observable measure of volatility for several major international stock market indices and accounted for the different predictive information present in jump, continuous, and option-implied variance components. We allowed for volatility spillovers in different stock markets by using a multivariate modeling approach. We used heterogeneous autoregressive (HAR)-type models to obtain the forecasts. Based an out-of-sample forecast study, we show that: (i) including option-implied variances in the HAR model substantially improves the forecast accuracy, (ii) lasso-based lag selection methods do not outperform the parsimonious day-week-month lag structure of the HAR model, and (iii) cross-market spillover effects embedded in the multivariate HAR model have long-term forecasting power.     

美联储前瞻性指引对新兴市场国家的溢出效应研究

基于前瞻性指引溢出效应的相关理论,选取17个代表性新兴市场国家为研究对象,运用面板向量自回归(PVAR)模型实证分析美联储前瞻性指引对新兴市场国家的溢出效应.结果表明:美联储前瞻性指引在短期内对新兴市场国家金融市场具有一定的冲击,在长期内对新兴市场国家经济增长存在滞后的正向作用.新兴市场国家应采取应对策略,做好风险识别和预警,加强预期管理,增强货币政策协调和合作,有效防范和化解外溢影响.     

The cyclical behaviour of fiscal policy: evidence from the OECD

This paper addresses the topic of cyclicality in fiscal policy. In particular, we show that the level of cyclicality varies across spending categories and across OECD countries. In line with leading theories of fiscal cyclicality, we show that countries with volatile output and dispersed political power are the most likely to run procyclical fiscal policies. Wage government consumption is highlighted as the most important channel by which these variables affect fiscal cyclicality.     

期货市场与现货市场之间的价格研究--中国农产品市场的经验

本文借助于信息共享模型与波动溢出效应模型对我国大豆和小麦的期、现货市场之间的价格发现进行了多层次的实证研究,定量描述了期、现货市场在价格发现中作用的大小,深入刻画了我国农产品期、现货市场之间的动态关系.研究结果显示:大豆期、现货价格之间存在双向引导关系,小麦仅存在期货对现货的单向引导关系;期、现货市场均扮演着重要的价格发现角色,且期货市场在价格发现中处于主导地位;期、现货市场之间均存在双向波动溢出关系,但现货市场来自期货市场的波动溢出效应均强于期货市场来自现货市场的波动溢出效应;并且,随着期货市场的发展,期、现货市场之间的波动溢出程度均呈逐渐增强态势.     

Volatility in the knowledge economy

Summary. We seek to explain the economic volatility of the last 6 years, in particular the rapid expansion and contraction of the knowledge sectors. Our hypothesis is that these sectors amplify the business cycle due to their increasing returns to scale, growing faster than others in an upswing and contracting faster in a downswing. To test this hypothesis we postulate a general equilibrium model with two sectors: one with increasing returns that are external to the firm and endogenously determined - the knowledge sector - and the other with constant returns to scale. We introduce a new measure of volatility of output, a real beta, and derive a resolving equation, from which we prove that the increasing return sectors exhibit more volatility then other sectors. We validate the main results on US macro economic data of real GDP by industry (2-3 digits SIC codes) of the 1977-2001 period, and provide policy conclusions.Received: 18 March 2002, Revised: 16 February 2004, JEL Classification Numbers: D5, D58, E10, L50, L52, O38, O51.Correspondence to: Graciela Chichilnisky     

Agglomeration in an innovative and differentiated industry with heterogeneous knowledge spillovers

This paper introduces an agent-based simulation model to study the technological development, the economic performance of firms and the evolution of agglomerations in a differentiated industry. The analysis is based on the interaction and behavior of firms, which might share knowledge but at the same time are competitors on the goods markets. Firms do not only compete with quantities they can also introduce process and product innovations. The level of knowledge of a firm describes the capabilities to perform innovations. Knowledge can be accumulated by investing in R&D and by knowledge spillover, which depend on geographical and technological proximity. Simulation runs show that there is an incentive to agglomerate in young industries and that geographical proximity enhances innovation, especially the number of product innovations.