股指期货价格发现功能的实证研究——基于现货指数变化趋势

依据香港股指期货市场数据，分别对香港恒生指数在指数振荡上行与振荡下降两阶段，利用Granger因果关系检验、方差分解、脉冲响应等方法，对股指期货与股指现货价格的领先滞后关系进行研究，得出股指期货在恒指振荡上行阶段具有价格发现功能，在恒指振荡下降阶段，现货领先期货，股指期货不具备价格发现功能。     

中国费雪效应的门限协整检验

由于中国费雪效应的研究结果具有很大的不一致性,结合中国1991年1月至2008年12月之间的数据,应用可以刻画变量间非线性均衡关系的门限协整理论检验费雪效应,研究结果显示：第一,中国的名义利率与通货膨胀率均为单位根过程,二者之间不存在线性协整关系,而是存在两个门限值的门限协整关系;第二,当通货膨胀率小于-0．8％时,中国费雪效应不存在,而当通货膨胀率在-0．8％～12．03％2;间时,中国存在值为0．42的部分费雪效应;当通货膨胀率大于12．03％时,中国存在值为0．05的部分费雪效应。     

非线性财政政策效应下财政赤字 可持续性研究

 财政赤字可持续性检验往往采用线性协整技术来验证跨期预算约束是否成立，但这一检验方法是基于财政政策效应是线性效应理论之上的。在现实中，财政政策既具有凯恩斯效应也具有非凯恩斯效应，财政政策效应是非线性的，财政收支的调整过程也是非线性非对称的。用传统的线性协整技术难以描述财政赤字可持续性过程，本文分析探讨一种用于揭示非平稳时间序列非线性调整过程的模型——两机制门限协整模型，深入研究了该模型的参数估计、检验统计量，并通过自助法(bootstrap)模拟计算其检验统计量临界值及P值。最后利用该模型，揭示了我国财政收支调整是非线性调整过程，并证实了我国财政赤字具有可持续性，但财政赤字规模不应进一步扩大。     

On a threshold autoregression with conditional heteroscedastic variances

This paper considers a time series model with a piecewise linear conditional mean and a piecewise linear conditional variance which is a natural extension of Tong's threshold autoregressive model. The model has potential applications in modelling asymmetric behaviour in volatility in the financial market. Conditions for stationarity and ergodicity are derived. Asymptotic properties of the maximum likelihood estimator and two model diagnostic checking statistics are also presented. An illustrative example based on the Hong Kong Hang Seng index is also reported.     

北京市能源消费与经济增长关系研究

 本文利用面板协整理论和基于面板误差修正模型的Granger因果关系检验分析了北京市能源消费和经济增长的关系。面板协整检验表明北京市能源消费和经济增长之间存在长期协整关系,进一步基于面板误差修正模型的Granger因果关系检验表明北京市短期存在能源消费到经济增长的单向因果关系,长期能源消费和经济增长之间存在双向的因果关系。因此北京市在进行节能减排的工作时,必须考虑到能源消费减少对经济增长的负作用,尽可能采取提高能源利用效率的措施,包括利用财政税收优惠政策鼓励节能技术的研发,在政府采购时要求产品在生产过程中采用节能技术,更关键也是更重要的是积极探索能源价格机制改革,通过价格手段促进企业真正具备节能意识,主动节约能源,提高利用效率。     

基于EGARCH-M模型的沪深300股指期货跨期套利研究——一种修正的协整关系

现有的基于协整股指期货跨期套利策略主要利用GARCH模型进行建模。该模型忽略了杠杆效应的存在,也未考虑条件方差可能影响协整方程。在引入EGARCH-M模型进行套利研究的基础上,提出一种新的协整关系——修正的协整;利用沪深300股指期货合约的每分钟收盘价进行实证分析,结果表明:正态EGARCH-M模型对数据的拟合效果优于传统的GARCH模型,通过设定合理的交易机制可以获得良好的套利结果;非正态的EGARCH-M模型在拟合效果和捕捉套利机会方面都比正态模型具有更好的表现,且套利效果也有显著提高。     

中国粮价与通货膨胀关系的协整分析：2001-2005

文章利用2001~2005年CPI和批发粮价的月度数据进行协整分析,并构建均衡修正模型,实证检验了二者的关系。实证结果说明无论长短期通货膨胀对粮价都具有Granger因果关系,验证了通货膨胀通过改变粮食市场参与主体的预期影响粮价的假说;在长期粮价对通货膨胀具有Granger因果关系,粮价长期高位运行会导致通货膨胀,但在短期内粮价对通货膨胀的影响较弱,不支持粮价上涨短期内即会引发通货膨胀的观点。     

非线性协整检验与“费雪效应”机制分析

本文分别在线性Engle-Granger协整模型和非线性指数平滑迁移自回归误差修正模型 (ESTAR-ECM) 的框架下,对我国名义利率与通货膨胀率序列进行了长期均衡关系的检验。发现线性协整模型不能捕捉到我国名义利率与通货膨胀率的长期均衡关系,而对于ESTAR-ECM模型,无论利用商业银行1年期贷款利率还是7天期银行间同业拆借利率作为名义利率的代理变量,均证实名义利率与通货膨胀率具有长期稳定的均衡关系,表明“费雪效应”在我国是成立的。但由于“费雪效应”系数小于1,表明名义利率与通货膨胀率之间仅存在弱的“费雪效应”。其意义在于,我国利率政策对稳定通胀预期、抑制通货膨胀具有一定的正面效应,但由于利率对通货膨胀反应不足,导致完全依靠利率政策控制目前较高的通货膨胀有一定的困难。     

门限协整套利:理论与实证研究

 不同市场上的同质或相似商品的价格存在长期均衡关系,当价格偏离均衡时,由于套利交易的存在,偏离会迅速回到均衡。在一定的门限值以外,二者服从协整关系,在门限值以内,二者没有协整关系,这种关系称为门限协整。本文在Balke,Fomby(1997)[1]和Hasen（1996）[6]的基础上提出了基于门限向量误差修正模型（T-VECM）的sup-Wald检验,用Bootstrap方法模拟统计量的渐进分布,验证了英国富时指数期货（uk100）和德国法兰克福指数期货（ger30）的门限协整关系,并用Hasen,Seo（2002）[11]提出的极大似然估计方法（MLE）同时估计出门限参数和协整向量,并给出了在这种门限协整关系下进行跨市场无风险套利的策略。     

财政科技支出与经济增长的实证分析——以陕西省为例

研究财政科技支出与经济增长的关系对科学指导财政科技投入能起到积极作用。使用协整检验、Granger因果检验等计量方法对陕西省1986-2009年的相关数据进行实证分析,结果表明陕西省财政科技支出对经济增长有促进作用,但就目前投入的规模和结构而言,其对经济增长的促进作用有限。     

Granger因果关系检验的模型选择与相关策略研究

运用Granger因果关系检验识别确定经济变量间因果关系是经济研究中极为常见的分析模式,然而在具体应用时,Granger因果关系检验的功效会受到模型形式选择与检验策略因素的影响,为此,解析了Granger因果关系检验的水平型VAR、差分型VAR、VEC三种模型形式选择的基本原理,探讨了与模型选择相关的四大检验策略,即变量个数选择、滞后阶数选择、变量单整性检验、协整空间维数选择,并给出了Granger因果关系检验相对稳妥的实践操作程序。     

我国股指期货价格发现功能研究

本文基于沪深300股指期货5分钟高频数据,利用协整检验、误差修正模型和脉冲响应函数研究了我国股指期货长短期的价格发现机制,并用信息共享模型、共因子模型研究了我国股指期货市场的价格发现贡献程度,在此基础上,引入分位数回归,探讨不同涨跌幅度的期现关系。实证结果表明：我国指数期货和现货价格存在相互引导关系,而现阶段现货市场能更快反应全部市场的冲击,且现货市场在价格发现功能中的作用相对较大;随着涨跌幅度的变化,现货对期货的影响呈U型走势,而期货对现货的影响呈单边上升走势。     

金融中介发展与经济增长:中国案例研究与国际比较

Using the cointegration analysis technology and causality analysis technology, we discuss the relationship between financial interrediaries development and economic growth in China, Evidences from the multivariate VAR system show that (ⅰ)as far as the relationship between financial intermediaries scale and economic growth is concerned, what Robinson (1952) declared is right, "where enterprise lead finance follows"; (ⅱ) on the relationship between financial intermediaries efficiency and economic growth, the view of many endogenous economic growth models can be supported by China case.     

住宅非市场化供给、房价波动与经济波动——基于省级面板数据的实证研究

采用面板协整技术,利用1999—2009年中国省级面板数据分析了住宅非市场化供给、住房价格波动与经济波动之间的关系。实证研究表明：住宅非市场化供给和住房价格波动之间存在较强的负相关关系,住宅非市场化供给的增加,能够平抑商品房价格的上涨幅度;住房价格波动与经济波动之间存在显著的正相关关系,住宅非市场化供给的变化能够通过住宅价格的变化,最终会作用于经济增长,进而影响经济波动;地区经济发展水平与房地产市场发育程度的差异,对住宅非市场化供给、住房价格波动与经济波动三者之间的区域关系造成显著影响。     

汇率与出口换汇成本关系的实证分析

一、引言一般而言,西方各主要货币的汇率是由外汇市场的供求关系自发决定的。而我国的人民币汇率则是国家根据经济形势和政策的需要来制定和调整的。特别是改革开放以来,汇率制度改革是中央政府改善国际收支状况的主要政策选择。直至１９９４年汇率并轨前,汇率政策的目...     

A new nonlinear asymmetric cointegration approach using error correction models

In this article, two new powerful tests for cointegration are proposed. The general idea is based on an intuitively appealing extension of the traditional, rather restrictive cointegration concept. In this article, we allow for a nonlinear, but most importantly a different, asymmetric convergence process to account for negative and positive changes in our cointegration approach. Using Monte Carlo simulations we verify, that the estimated size of the first test depends on the unknown value of a signal-to-noise ratio q. However, our second test—which is based on the original ideas of Kanioura and Turner—is more successful and robust in the sense that it works in all of the different evaluated situations. Furthermore it is shown to be more powerful than the traditional residual based Enders and Siklos method. The new optimal test is also applied in an empirical example in order to test for potential nonlinear asymmetric price transmission effects on the Swedish power market. We find that there is a higher propensity for power retailers to rapidly and systematically increase their retail electricity prices subsequent to increases in Nordpool's wholesale prices, than there is for them to reduce their prices subsequent to a drop in wholesale spot prices.     

Threshold Cointegration and the PPP Hypothesis

Self-Exciting Threshold Autoregressive (SETAR) models are a non-linear variant of conventional linear Autoregressive (AR) models. One advantage of SETAR models over conventional AR models lies in its flexible nature in dealing with possible asymmetric behaviour of economic variables. The concept of threshold cointegration implies that the Error Correction Mechanism (ECM) at a particular interval is inactive as a result of adjustment costs, and active when deviations from equilibrium exceed certain thresholds. For instance, the presence of adjustment costs can, in many circumstances, justify the fact that economic agents intervene to recalibrate back to a tolerable limit, as in the case when the benefits of adjustment are superior to its costs. We introduce an approach that accounts for potential asymmetry and we investigate the presence of the relative version of the purchasing power parity (PPP) hypothesis for 14 countries. Based on a threshold cointegration adaptation of the unit root test procedure suggested by Caner & Hansen (2001), we find evidence of an asymmetric adjustment for the relative version of PPP for eight pairs of countries.     

外商直接投资与我国资本形成的协整研究

文章首先概述了经济学界对外商直接投资与资本形成一般关系的分析,然后运用协整理论对数据进行了平稳性检验、格兰杰原因检验,建立了外商直接投资和全社会固定资产投资的协整模型和误差修正模型,认为在长期和短期内外商直接投资对我国的资本形成都有促进作用。     

Forecasting energy futures volatility with threshold augmented heterogeneous autoregressive jump models

Abstract

This study forecasts the volatility of two energy futures markets (oil and gas), using high-frequency data. We, first, disentangle volatility into continuous volatility and jumps. Second, we apply wavelet analysis to study the relationship between volume and the volatility measures for different horizons. Third, we augment the heterogeneous autoregressive (HAR) model by nonlinearly including both jumps and volume. We then propose different empirical extensions of the HAR model. Our study shows that oil and gas volatilities nonlinearly depend on public information (jumps), private information (continuous volatility), and trading volume. Moreover, our threshold augmented HAR model with heterogeneous jumps and continuous volatility outperforms HAR model in forecasting volatility.     

Measurement Errors and Tests for Rationality

The traditional tests for rationality, the regression and volatility tests, have often rejected the hypothesis of rationality for survey data on expectations. It has been argued that these tests are not valid in the presence of unit roots and hence cointegration tests should be applied. The cointegration tests have often failed to reject the hypothesis of rationality. The present article argues that errors in variables affect tests of rationality. We use multiple sources of expectations to correct for the errors-in-variables bias but find that the hypothesis of rationality is rejected even after this correction. The article uses survey data on interest rates, stock prices, and exchange rates.