A Model for Studying the Effect of EMU on European Yield Curves

In January 1999, the European monetary union (EMU) was formally launched with 11 member countries. However, before May 1998 there was considerable uncertainty about who would join EMU, and whether the project would start on time. When a monetary union is formed, exchange rates between the member countries are irrevocably fixed, and yield spreads stemming from exchange-rate risk are eliminated. As a direct consequence, EMU affected the prices of long-term bonds well before 1999, but quantifying this effect can be difficult when there is uncertainty about the monetary union. We address these issues and develop a bond-pricing model which explicitly takes into account that a country may join a monetary union at a future, unspecified date. The empirical results show that a narrow EMU, consisting of Germany, France and the Benelux countries, has been priced with almost 100% probability throughout the period 1995–1998, whereas, on average, the implied probability of joining EMU has been somewhat lower for the other EU countries. However, in the period leading up to May 1998, the estimated probabilities have increased considerably for the countries that joined EMU in January 1999.     

浅议利率波动对房地产投资信托基金的影响

房地产投资信托基金(Real estate investment trusts,REITs)的高分配收益特征使其对利率波动的敏感性较强,而房地产业自身也易受利率变化的影响。1973年和2005年美国联邦局对利率的上调对REITs价格和收益都造成了重大影响,利率上调,REITs经营成本增加,REITs的总体回报率减少,直接影响到其投资价值和回报率。     

入世后中国利率环境的变化及利率趋势

利率 ,作为资金或资本的“价格” ,与一国的储蓄投资、宏观经济调控紧密关联。随着中国市场经济不断完善发展 ,利率的价格调节功能对中国深化经济改革和优化经济发展日益重要。加入WTO后 ,中国经济的市场化、国际化程度将进一步加深 ,利率环境即决定和影响中国利率的诸多因素将发生变化。通过实证分析入世后中国利率环境的变化 ,在对影响利率各因素详尽分析的基础上给出入世后中国利率趋势 ,具有重要的现实意义。     

利率变动周期与商业银行绩效的实证研究

利率风险的计量、评估、监控是银行市场风险管理的重要内容。科学分析利率波动与银行收益之间关系,进而了解银行资产负债期限特征及利率风险管理水平,对实现我国商业银行资产负债管理科学决策,提升利率风险管理水平意义重大。本文采用Flannery的部分调整模型对我国上市银行的利率风险管理进行长时间窗口实证分析,结果表明:样本银行呈“借短贷长”的资产负债期限特征,利率变动期内其资产负债管理并未为银行带来实质收益,利率风险管理水平有待提高。     

Quantile regression estimates and the analysis of structural breaks

The paper considers a test for structural breaks based on quantile regressions instead of OLS estimates. Besides granting robustness, this allows us to verify the impact of a break in more than one point of the conditional distribution. The quantile regression test is then repeatedly implemented as a diagnostic tool to uncover partial or spurious breaks. The test is also implemented to measure the contribution of each explanatory variable to the instability of the regression coefficients, thus finding which one of the different possible sources of breaks linked to the nature of the explanatory variables is the most effective. A real data example of exchange rates shows the presence of a time-driven break, but only at the lower quartile, while the analysis of the explanatory variable excludes its involvement in the break. Since the asymptotic distribution of the OLS test for structural change depends on i.i.d. normal errors and on the exogeneity of the explanatory variables, a Monte Carlo study analyses the behavior of OLS and quantile regression tests for structural changes with lagged endogenous variables, non-normal errors, spurious or partial breaks, and misspecification.     

基于货币因素的我国大宗商品价格波动影响机理——铜市场实证

基于长期与短期两个视角,采用2001~2013年的月度数据,通过构建协整检验、广义脉冲响应函数及方差分解等方法,考察了主要货币因素：货币供应量与利率对我国期铜价格的动态影响,结果表明：货币供应量、利率与期铜价格之间存在长期均衡关系;在短期内,货币供应量对期铜价格具有正向影响,而利率对期铜价格的影响总体为负,且利率的影响作用相对较大。     

我国利率市场化进程中商业银行的利率风险管理分析

本文旨在通过对利率风险管理方法演变历程的概览,还原我国利率市场化下真实的利率风险环境和我国银行业的风险管理水平,揭示利率风险管控重点——利差的合理性,并探寻其忽视内含期权所致的真实利差偏差的重要隐患。实证分析我国存贷利差合理性的基础上,得出存在偏离真实合理水平的结论。由此,提出期权调整利差（OAS）模型,结合金融工程产品分解和期权定价思想,展示其操作流程与方法对比。所得调整后利差,运用于有效久期-凸度管理模型,形成完整的利率风险管理体系,从而提出了有关风险管理方法工具、银行业务拓展和市场数据系统建立的建议。     

在岸与离岸市场人民币利率联动性分析

本文通过采用Granger因果检验和AM（1）-GARCH（1,1）模型分析了上海银行间同业拆放利率（Shibor）与香港人民币同业拆借利率（CNY Hibor）之间的联动性。结论表明：30天Shibor和CNY Hibor互为Granger因果关系,隔夜、7天和14天Shibor是CNY Hibor的Granger原因;在岸对离岸市场人民币利率的影响强于离岸对在岸市场人民币利率的影响。     

我国政府行政执行力存在的问题与对策

政府执行力是政府部门战略方向和战术行为实施到位的基石,也是政府履行职能、行使公权力的根本。行政执行力是我国政府缺失的一环。要提高政府执行力,切实保证中央政令畅通,就必须根据政府执行力的内涵和条件,制定切实有效的措施和办法。     

Intraday data and hedging efficiency in interest spread trading

Three government bond futures contracts and their respective 3-month interest rate futures contracts traded on LIFFE are examined. The data period covers three years of observations, January 1994-December 1996, sampled at half-hourly intervals. Borrowing from the calculation of minimum variance hedge ratios, half-hourly minimum variance spread ratios (the ratio of one contract to another, which provides the minimum variance) are estimated for the above contracts. The hypothesis under examination is whether there is any value-added in estimating minimum spread ratios based on intraday data. Three spread ratios are defined: two ratios calculated from daily data and a third one based on intraday data. Evidence tends to indicate that spread ratios calculated from intraday data exhibit a substantially lower variance than the other two spread ratio speciications. Thus, it is shown that intraday data, in comparison with daily data, allow for lower hedging costs. Moreover, the use of intraday-based spread ratios might be a contributing factor to reducing the maximum cumulative loss potentially incurred while holding a spread position.