后危机时期国际原油价格波动 对我国CPI、PPI、MPI指数的影响

本文通过考察国际油价波动影响我国通胀指数变动的传导途径和主要特征,运用Granger因果检验和VAR模型对国际原油价格波动与我国通胀指数之间的相关性和滞后期进行研究。研究结果表明:国际原油价格波动对处于传导机制中上游的生产领域所产生的作用较明显,但对处于下游的消费领域并没有明显的影响。最后,本文预测了后危机时期国际原油市场的发展趋势和原油价格的变动走势。     

基于月度数据的国内外石油价格关联性实证研究

我国石油价格自1998年6月与国际油价接轨,原油价格随着国际市场价格的变化而浮动.运用单位根检验、协整检验、格兰杰因果关系检验等分析方法,分别对国内外原油现货价格、期货价格的关联性进行了研究.结果显示国内原油价格和国际原油价格存在长期稳定的均衡关系,国际原油期货价格对国内原油价格的影响要大于国际石油现货价格的影响,Brent(布伦特)原油价格对国内油价的影响要大于WTI(美国西德克萨斯)原油价格的影响.     

金融时间序列数据预测方法探析

本文提出了一种改进的金融时间序列数据预测方法,该方法首先对采集到的数据进行预处理,然后利用决策树来对金融时间序列进行特征抽取,并建立基于支持向量机的时间序列预测模型,最后对时间序列数据进行预测并输出预测结果。仿真结果表明,本文提出的方法可以有效地降低预测模型复杂度,同时提高预测能力和泛化性能。     

公路交通运输量GM-Markov综合预测模型研究

为了提高公路交通运输量的预测精度,在介绍一般模型的基础上,建立了GM-Markov预测模型,它是将灰色预测方法与Markov预测模型优化组合,用灰色预测模型GM(1,1)预测随机时间序列数据的总体发展趋势,而用Markov模型预测各数据在总体趋势下的随机波动性变化,得到随机时间序列数据趋势预测模型的解。通过公路货运量的实际数据进行了验证,结果表明:GM-Markov预测模型既能预测参数随机数据序列的总体趋势,又能适应波动性较大的随机序列变化,其预测精度高于GM(1,1)模型的预测精度。     

基于遗传算法优化混沌神经网络的股票指数预测

为提高BP神经网络预测模型对混沌时间序列的预测准确性,提出一种基于遗传算法优化BP神经网络的改进混沌时间序列预测方法。本文采用时间序列输入输出参数数量构造BP神经网络拓扑结构,利用遗传算法优化BP神经网络的权值和阈值,然后训练BP神经网络预测模型求得最优解,将该预测方法应用到上证综合指数的时间序列进行有效性验证,结果表明了该方法对上证综合指数具有更好的非线性拟合能力和更高的预测准确性。     

国际原油价格波动对我国价格指数影响的研究

本文通过考察和分析国际原油价格影响我国通胀相关指数的两条途径及其主要特征,实证研究国际原油价格波动对我国价格指数——CPI、PPI、MPI影响的相关性、滞后性以及冲击效果。研究表明:国际原油价格波动对生产领域影响较大,但对消费领域影响不大。最后,本文对原油价格波动进行了分析和预测。     

基于小波变换和时间序列模型的Brent原油期货价格预测

本文将小波分析与时间序列模型结合应用于布伦特国际原油价格预测,通过对小波分解与重构方法将油价时间序列分解为趋势(高频)部分和细节(趋势)部分,然后采用ARMA模型对分解后的油价进行样本内预测。实证研究表明,基于小波的组合模型具有较高的预测性能,同时验证了该方法的可行性和有效性。     

福布斯：原油市场一年内崩盘油价最终将大跌

连日来，国际原油价格一路走高，攻陷了每桶70美元心理大关。针对原油价格新一轮飙升。美国财经界名人福布斯直言，国际原油市场将会在一年内崩盘，油价最终将大跌至每桶35美元的价位。     

谈复合预测技术在不确定性逆向物流需求预测中的应用

本文针对逆向物流的不确定性特点,创造性的提出采用灰色预测模型与时间序列预测模型相复合的新型预测模型对逆向物流实施过程中的回收数量、回收质量和回收时间的不确定性进行建模,并对其进行回收预测。通过模拟对比分析,发现该复合式预测模型在数据的拟合准确度方面大大提高,相对于单纯的时间序列预测和灰色预测其准确度分别提高了22%和18%,证明了该复合式预测模型对于逆向物流中的不确定性因素进行预测的有效性和准确性。     

油价可能飙到七十美元？

国际原油价格在以60美元/桶为基价的上下各3美元区间里已经徘徊了一个半月有余，市场对此时原油价格将去向何方看法不一。我们有必要将目前的国际原油情况进行一个简单的梳理，以期对油价的走向有较为准确的判断。     

世界石油市场结构:演进、动因及影响——产油国油气政策调整对广义石油产业链价值分布的影响

本文从回顾世界石油市场结构演进历程入手,对产油国油气政策调整这一重要现象进行了分析。产油国油气政策的调整不仅直接改变了石油公司在资源环节的买方地位和所处的买方结构,同时也间接影响到其在油气生产阶段作为卖方所承担的成本以及原油市场的卖方结构。这样,通过对原油和成品油市场价格的连锁影响,在成品油价格变动特殊规律的约束下,油气资源政策的调整通过对石油市场结构产生影响,改变了石油广义产业链中资源环节和传统产业链环节的价值分布。     

Time‐varying market price of risk in the crude oil futures market

In this study, a three‐factor model of crude oil prices is estimated, which incorporates a time‐varying market price of risk. The model is able to accurately capture the term structure of futures prices with evidence suggesting that risk premiums in the crude oil market are time‐varying. Using the cross‐section of futures prices, we estimate a time‐series of the market price of risk in the crude oil market implied by the model. We find that the risk premiums in the crude oil market are driven by the same risk factors as equity and bond markets. © 2010 Wiley Periodicals, Inc. Jrl Fut Mark 31:779–807, 2011     

国际原油价格、货币政策对我国农产品价格的影响机理与效应

国际市场的进一步开放,带动了世界经济一体化,我国农产品价格受到国际市场的影响越来越大,在众多影响因素中,国际原油价格以及货币政策对农产品价格的影响较大,采取通径分析法,选取我国农产品中比较有代表性的农产品进行实证研究,研究后发现,二者都会对我国农产品价格产生一定的影响,国际原油价格能够通过直接影响对农产品价格发挥效应,而货币政策主要通过间接影响对农产品价格产生效应,两者都会造成农产品价格的波动。     

高油价困局

传统矿物能源的不可再生性,决定了过度依靠单一类型的自然能源所面临的系统性风险是无法回避的。＂世界经济血液＂的称号体现出石油在世界经济中的价值与地位,而华尔街的一句名言＂千万不要试图预测油价＂,又令其充满了神秘色彩。     

The Effect of Entering the WTO on the Oil Industry and the Economy of Taiwan

The crude oil price of the world increased two‐fold during 1999–2002. The price of domestic oil products for the same period increased with a smaller percentage, i.e., 27 per cent. This phenomenon could be attributed to Taiwan's oil market liberalisation after 2000 and its entering the WTO since November 2001. According to this study, the effect of entering the WTO itself suppressed the oil price from increase by 15.455 per cent in 2002. It also reduced the inflation rate by 0.74 per cent and increased the economic growth by 0.39 per cent. Nevertheless, entering the WTO also increases the competition in the oil industry, which is a big challenge to the domestic oil refinery sector and the state‐owned Chinese Petroleum Corporation in particular. The price decrease of oil products also increases the demand for oil products and exacerbated air pollution and CO₂ emissions. For minimising the negative impact of entering the WTO on the economy, the Taiwan government has devised a series of preparations in the last decade. Those preparations include a step‐by‐step market liberalisation plan, a strategy taken by the state‐owned CPC, a new taxation implementation and the legislative works such as the Petroleum Act. This experience might be worthwhile for the reference of other economies.     

The sensitivity of trading to the cost of information

We examine the impact of changes in real-time data access fees on price discovery in the crude oil futures market. Specifically, we examine differences in price discovery in the West Texas Intermediate crude oil futures contracts traded on two exchanges around three events corresponding to changes in real-time data access fees. We document a decrease in price discovery following two events that increase data access costs. These findings are consistent with the theoretical predictions of Cespa and Foucault that increases in data access costs reduce the number of market participants trading on real-time data and adversely impact price discovery.     

Rising Crude Oil Prices: The Link to Environmental Regulations

Crude oil is not a homogenous commodity. Light sweet crude oils produce a high percentage of products desired by consumers after distillation. Other crude oils (heavy, sour, or high-sulfur crude) must be heavily processed to obtain needed products. The failure to understand the differences between desirable light crudes and heavy sour crude oils can lead to bad forecasts of market behavior. Using a stylized model of the market, I show that tightening environmental regulations in the absence of adequate refining capacity to process heavy sour crude puts upward pressure on crude prices and explains the 2008 price increase. The upward pressure is exacerbated by the monopolist practices of heavy sour crude producers, who set price differentials to maximize income. This model also can be used to analyze the impact of the supplies lost from Libya in 2011.     

我国燃油期货市场成交量和持仓量对价格波动的影响研究

研究燃油期货市场成交量、持仓量对价格波动的影响,有利于降低燃油期货市场风险。建立EGARCH-t模型,分别考察成交量、持仓量以及同进考察成交量与持仓量对我国燃油期货价格波动的影响。研究结果显示：在分别考察成交量和持仓量时,当期成交量对价格波动方差具有比较明显的影响,滞后成交量与持仓量对价格波动方差都没有很显著的影响。在同时考察成交量和持仓量对价格波动方差的影响时,有A〈B（若当日成交量和持仓量同时增加,则令当日价格波动幅度大小为A;若当日成交量减少（或不变）,则令当日价格波动幅度大小为B）成立。同时,燃油期货市场的滞后成交量和持仓量对价格波动方差的影响不明显,说明我国燃油期货市场运行效率较好。     

Hedging performance analysis of energy markets: Evidence from copula quantile regression

This study investigates hedging performance with respect to different market structures for energy-related commodities, including West Texas Intermediate crude oil, Brent crude oil, Chinese crude oil, and Heating oil. Copula quantile regression functions and the generalized autoregressive conditionally heteroscedasticity model are combined to analyze the nonlinear impact of dependence and the heterogeneous impact of market structure changes on hedging performance. Results show that hedging performance presents nonlinearity and market structure changes have surprisingly strong heterogeneous effects on the quantile hedge ratio, where bearish and bullish have lower hedge ratios than normal markets, which is captured better by Clayton copula quantile regression. Additionally, the trend of hedging effectiveness over different market structures also shows an inverted U shape. After changing data frequency or the types of futures contracts, the conclusions remain the same. Our empirical findings imply that hedgers are supposed to adjust the hedging number of futures according to market structure changes to hedge price risk effectively.     

The Global Finance Banquet Will Be Served

Oil and finance, the most two vivid and changeable expressions in the world, attracted more and more concerning and tingled people＇s nerves from time to time.