SHFE与LME期铜价格关系实证研究

本文介绍了Granger引导关系模型,并利用这个模型对伦敦金属交易所(LME)三个月期铜和上海期货交易所(SHFE)五个月期铜进行了价格引导关系检验。检验结果显示,伦敦金属交易所三个月期铜价格滞后引导上海期货交易所五个月期铜价格,但是上海期货交易所对伦敦金属交易所的期铜价格不具有滞后价格引导关系。     

On the integrated behaviour of non-stationary volatility in stock markets

This paper analyses the behaviour of volatility for several international stock market indexes, namely the SP 500 (USA), the Nikkei (Japan), the PSI 20 (Portugal), the CAC 40 (France), the DAX 30 (Germany), the FTSE 100 (UK), the IBEX 35 (Spain) and the MIB 30 (Italy), in the context of non-stationarity. Our empirical results point to the evidence of the existence of integrated behaviour among several of those stock market indexes of different dimensions. It seems, therefore, that the behaviour of these markets tends to some uniformity, which can be interpreted as the existence of a similar behaviour facing to shocks that may affect the worldwide economy. Whether this is a cause or a consequence of market globalization is an issue that may be stressed in future work.     

Testing for cointegration using induced-order statistics

In this paper we explore the usefulness of induced-order statistics in the characterization of integrated series and of cointegration relationships. We propose a non-parametric test statistic for testing the null hypothesis of two independent random walks against wide cointegrating alternatives including monotonic nonlinearities and certain types of level shifts in the cointegration relationship. We call our testing device the induced-order Kolmogorov–Smirnov cointegration test (KS), since it is constructed from the induced-order statistics of the series, and we derive its limiting distribution. This non-parametric statistic endows the test with a number of desirable properties: invariance to monotonic transformations of the series, and robustness for the presence of important parameter shifts. By Monte Carlo simulations we analyze the small sample properties of this test. Our simulation results show the robustness of the induced order cointegration test against departures from linear and constant parameter models. This paper is an extension of the work of Aparicio and Granger (1995) and Aparicio and Escribano (1998).     

On non-stationary solutions to MSDDEs: Representations and the cointegration space

In this paper we study solutions to multivariate stochastic delay differential equations (MSDDEs) and their relation to the discrete-time cointegrated VAR model. In particular, we observe that an MSDDE can always be written in an error correction form and, under suitable conditions, we argue that a process with stationary increments is a solution to the MSDDE if and only if it admits a certain Granger type representation. A direct implication of these results is a complete characterization of the cointegration space. Finally, the relation between MSDDEs and invertible multivariate CARMA equations is used to introduce the cointegrated MCARMA processes.     

Robust dynamic pairs trading with cointegration

This paper investigates the robust optimal pairs trading using the concept of equivalent probability measures and a penalty function associated with the confidence in parameter estimates when the parameters in the drift term of the continuous-time cointegration model are estimated with errors. A closed-form solution is derived for the robust pairs trading rule. We compare the robust pairs trading rule against its non-robust counterpart using simulations and real data. The robust strategy is empirically more stable and less volatile.     

The relationship between different price indices: Evidence from Turkey

A possible relationship between the Consumer Price Index and the Wholesale Price Index has been analyzed for long and short-run relationships. Conventional Engle and Granger [Estimation Test Econ. 55(1987) 2251–276] and Johansen's [J. Econ. Dyn. Control 12 (1988) 231–254] cointegration tests give mixed evidence for a possible long-run relationship between those two series. The model-free and seasonally robust periodogram-based test fails to reject the null of no-cointegration relationship. However, these two series move together in the short run.     

Testing for relationships between Shanghai and Shenzhen stock markets: A threshold cointegration perspective

We investigate the relationships between Shanghai and Shenzhen stock market, and reveal the evidence of cross-correlations between the two stock markets. Our main findings show that Shanghai and Shenzhen stock market are cointegrated, and also present the evidence of strong error-correction effect in the short-rate equation, whereas the point estimate for the error-correction term is small and not statistical significance in the long-rate equation. Finally, Shanghai stock market ECT coefficient shows the evidence of long-term equilibrium in the first regime, while in the second regime the coefficient of correction term is larger than that of the first regime, indicating the rate convergence to long-term equilibrium is not uniform.     

融资融券交易与A股市场波动相关性实证研究

本文基于A股市场开展融资融券交易以来的实际数据,用Johnson协整检验,误差修正模型和Granger因果关系检验方法,实证研究了融资融券业务的开展对A股市场价格和波动性的影响,结果显示融资融券交易对A股市场的价格和波动性的影响都不显著.     

协整关系对期货套期保值策略的影响

经过研究发现 ,在有效市场中 ,现货和期货价格间存在着协整关系 ,而我们在实际的操作中 ,经常忽略这种关系 ,本文通过对相关模型的推导 ,给出了考虑与不考虑两种情况下的套期保值比率的公式 ,以分析说明协整关系对套期保值策略的影响     

广西经济增长与环境污染关系的库兹涅茨曲线研究

从环境库兹涅茨曲线假说出发,结合广西1997～2006年的主要污染物排放量和人均GDP数据,建立了广西环境污染与经济增长之间的多项式回归模型,并采用SAS软件进行分析,结果表明两者间呈倒"N"型分布.针对模型可能是因虚假回归而存在统计意义上的显著,对各序列依次做平稳性检验和对模型的残差项做协整性检验,保证了模型结果确凿可信.模型的建立不仅定量揭示出广西经济增长与环境污染程度之间的关系,而且剖析了经济增长与环境质量之间的变化规律,为广西环境与经济协调发展提供了决策参考和管理需求,为全面实施"生态广西"建设确立了科学依据.