Forward and spot exchange rates in a bivariate TAR framework

Structural exchange rate models explain only a small part of the movements in dollar exchange rate. Recent empirical work has focused on the failure to account for nonlinearities in the data generating mechanism, as an explanation of this bad performance. Here two bivariate threshold autoregressive models for the spot and forward exchange rates are considered. In the first model the regimes are determined by the log difference of the two rates; in the second one the regimes are driven by the forward spot no-arbitrage condition. These processes are able to capture the ‘swing’ behaviour observed in the exchange rate market. Finally the forecasting ability of the models for the dollar/DM exchange rate is evaluated by stochastic simulation.     

民营企业出口对湖南经济增长影响的实证分析

近年来,湖南民营企业出口贸易的快速发展,为湖南经济的增长做出了积极的贡献。本文采用计量经济模型实证分析了湖南民营企业出口与湖南经济增长的相关性,揭示出湖南民营企业出口对湖南经济增长做出了突出的贡献,并由此提出了扩大湖南民营企业出口的策略。     

Detecting nonlinearity in time series by model selection criteria

This article analyzes the use of model selection criteria for detecting nonlinearity in the residuals of a linear model. Model selection criteria are applied for finding the order of the best autoregressive model fitted to the squared residuals of the linear model. If the order selected is not zero, this is considered as an indication of nonlinear behavior. The BIC and AIC criteria are compared to some popular nonlinearity tests in three Monte Carlo experiments. We conclude that the BIC model selection criterion seems to offer a promising tool for detecting nonlinearity in time series. An example is shown to illustrate the performance of the tests considered and the relationship between nonlinearity and structural changes in time series.     

Do Vietnamese upland farmers benefit from high world market prices for maize?

For rural households in the north of Vietnam, maize cropping is the main source of income. In the face of the world market price increases of the recent past, we analyze the regional marketing chain of this commodity qualitatively and econometrically investigating to what extent smallholder farmers in developing countries are affected by international price movements. Vietnamese maize markets are found to be well integrated. Recent price hikes have fully transmitted along the regional supply chain so that farmers profited. Nevertheless, adverse factors such as increasing input prices have neutralized these benefits resulting in a decline in real income of smallholders.     

权证隐含波动率在标的证券波动率预测中的作用研究

资产收益的波动是投资者投资决策的主要依据.本文选取了葛州和长虹等七只权证作为样本.首先应用单位根检验,验证各样本历史波动率和隐含波动率序列的平稳性,在此基础上检验各样本两种波动率序列的协整关系.最后,对隐含波动率所包含的额外信息进行探讨.结果表明,已实现波动率和隐含波动率基本上呈现单位根状态,并且两者之问基本不存在协整关系,权证的隐含波动率确实拥有额外的信息.投资者在实际运作中,可以加入隐含波动率来提高对实际波动率预测的准确性.     

Multivariate contemporaneous-threshold autoregressive models

This paper proposes a contemporaneous-threshold multivariate smooth transition autoregressive (C-MSTAR) model in which the regime weights depend on the ex-ante probabilities that latent regime-specific variables exceed certain threshold values. A key feature of the model is that the transition function depends on all the parameters of the model as well as on the data. Since the mixing weights are also a function of the regime-specific noise covariance matrix, the model can account for contemporaneous regime-specific co-movements of the variables. The stability and distributional properties of the proposed model are discussed, as well as issues of estimation, testing and forecasting. The practical usefulness of the C-MSTAR model is illustrated by examining the relationship between US stock prices and interest rates.     

我国四大城市住宅价格与租金的关系研究

近20年,我国城市住宅价格经历了大幅下跌与上涨,而同期租金逐年下降,房价与租金之间的关系令人关注。本文利用1993年第二季度至2010年第一季度的数据进行实证分析,结果表明北京、上海、广州和深圳的租金指数和房价指数之间不存在协整关系,说明住宅市场价格与租金不存在长期均衡关系,房价严重脱离了租金这一基本面的影响,不再遵循现值理论模型所揭示的两者之间的运行趋势,表明房价泡沫在长期积聚。为了预防市场泡沫破灭对经济体造成的严重冲击,政府应该严格监察与调控房地产市场。     

Bayesian inference in cointegrated systems

In this paper I deal with Bayesian methods for conducting inference on important features of (potentially) cointegrated VAR models involving I(1) variables. Firstly, (informal) inference is made on the cointegrating rank of the system. Secondly, posterior analysis is used to verify the validity of over-identifying restrictions on the cointegration parameters. Thirdly, posterior distributions are obtained for impulse response functions and predictive densities at different horizons. The relevant posterior distributions are obtained by means of Monte Carlo integration. The analysis is based on the use of simple weakly informative priors. Two applications on simulated data and on the Danish money demand data are presented.     

汇率与中国对外出口关系的实证研究

运用Granger因果检验以及协整、误差修正模型、多元回归模型等计量经济学分析方法,对中国内资企业出口与汇率的关系进行实证分析,得出的主要结论是:实际有效汇率与中国企业内资出口间没有因果关系,并且无论在长期和短期实际有效汇率的变动都不能有效地解释内资出口的变动,说明人民币汇率的变化对内资出口影响非常小。国际上因为贸易逆差而指责中国的汇率政策,其理由是不充分的。     

公开市场业务有效性的实证检验

本文选取了2004年～2006年我国公开市场操作中的央行7天正回购利率、三个月期央行票据发行利率和1年期央行票据发行利率,以及相对应时期的货币市场利率和中期国债利率,对其进行了统计分析、协整检验和因果关系检验,以此研究公开市场业务对我国市场利率的影响,研究我国公开市场业务的有效性和局限性.