A Multiple and Partial Wavelet Analysis of the Oil Price,Inflation, Exchange Rate,and Economic Growth Nexus in Saudi Arabia

This article provides a fresh insight into the dynamic nexus between oil prices, the Saudi/US dollar exchange rate, inflation, and output growth rate in Saudi Arabia’ economy, using novel Morlet’ wavelet methods. Specifically, it implements various tools of methodology: the continuous wavelet power spectrum, the cross-wavelet power spectrum, the wavelet coherency, the multiple and the partial wavelet coherence to the annual sample period 1969–2014. Our results unveil that the relationships among the variables evolve through time and frequency. From the time-domain view, we show strong but non-homogenous linkages between the four variables. From the frequency-domain view, we uncover significant wavelet coherences and strong lead-lag relationships. From an economic view, the wavelet analysis shows that Saudi economy is still exposed to several global risk factors, which are mainly related to the oil market volatility, and the pegging of the local currency to the US dollar. Such risk factors strongly and negatively affect the real economic growth, exert more pressure on inflation, and substantially limit the freedom to pursue an independent monetary policy.     

The Effects of Oil Price on the Korean Economy: A Global VAR Approach

This article empirically explores the effects of oil price on the Korean economy using a Global VAR model. First, we evaluate the average connectedness of oil price with the Korean domestic variables over the precrisis period. We then investigate the time-varying contribution of oil price to the Korean financial and real sectors during and after the global financial crisis through recursive estimation. It is found that the contribution of oil price becomes very large in the case of real exports, equity prices, and real output, but plays a much less prevalent role in the remaining cases. In the meantime, the time-varying contribution of oil price to the Korean economy has not changed during and after the global financial crisis. Interestingly, we find that the Korean economy is affected mostly by overseas financial conditions in the short-term but it becomes more susceptible to oil price fluctuations in the long run, suggesting that Korea’s reliance on energy imports leaves the economy exposed to volatility in energy prices.     

重推原油期货对我国的影响及完善建议

摘要：中国重新推出原油期货，是经济发展的必然结果。目前原油期货上市意义重大，上市时机已经成熟。重推原油期货，需要：打破石油市场的垄断，吸引广泛的市场参与主体；建立更具开放性、操作性的交易机制；建立并完善石油战略储备体系；大力发展资本市场，构建多层次金融市场体系，推进石油金融一体化；多视角择机推动“石油人民币”体系的建立，促进人民币的崛起。     

Extreme risk spillovers between crude palm oil prices and exchange rates

This study is the first attempt to examine the extreme risk spillovers between Malaysian crude palm oil (CPO) and foreign exchange currencies of the three largest CPO importers: India, the European Union and China throughout the global financial crisis. Using daily data of three currencies, CPO spot and futures from 2000 to 2018, our results show: First, before the crisis, the unexpected change in foreign exchange rates is the primary driver of risk spillover to the CPO market. Second, during the crisis, the extreme movement of CPO spot returns is dominant in the Malaysian exchange rates relative to the euro. Third, after the crisis, the spillover flows from the CPO market to the foreign exchange market. Overall, our findings show the importance of CPO pricing dynamics in mitigating foreign exchange risk over the crisis period. This paper contributes to the extant literature by recognizing the effect of risk spillover on the targeted foreign exchange rate for portfolio allocation.     

Fractional integration and cointegration in merger and acquisitions in the US petroleum industry

This article employs methodologies based on fractional integration and cointegration to analyse the time-series properties of merger and acquisitions (M&A) activity and crude oil prices in the US from 1980 to 2012. Our results indicate that an increase in the crude oil price produces a significant increase in the M&A data between 2 and 3 months after the initial shock.     

油气管道相关国外标准化组织制修订流程分析

对与油气管道领域相关的ISO、API、ASME、ASTM、NACE 5所知名国外标准化组织进行了简要介绍,对各组织在提案申请要求、提案内容、尤其是标准制修订流程方面进行了初步对比分析,同时以参与国际标准化组织ISO,为例详细说明了参与国际标准的注意事项及技巧,最后提出了我国在油气管道领域开展标准国际化的启示和建议。     

A study of the efficiency of the Chinese clean energy stock market and its correlation with the crude oil market based on an asymmetric multifractal scaling behavior analysis

We examine the multifractal scaling behavior and market efficiency of China’s clean energy stock indexes using an asymmetric multifractal detrended fluctuation analysis (A-MFDFA) and then investigate the tail correlation between this index and the crude oil market via an asymmetric multifractal detrended cross-correlation analysis (A-MFDCCA). First, we reveal that the overall, upward and downward trends of the clean energy stock indexes all have significant multifractal characteristics. The clean energy stock market is far from efficient regardless of whether the fluctuations are small or large. In addition, both upward and downward fluctuations exhibit considerable asymmetry. The significant gap between the downward and overall trends indicates that the downward trend following small-scale fluctuations implies weaker efficiency for investors. Furthermore,based on the sliding market deficiency measure (MDM),we find that the change in efficiency in the three trends significantly depends on the length of the window. In the short term, there is no significant efficiency difference among these three trends; however, in the long term, the asymmetry in the upward and downward trends has gradually increased,especially after December 2018. The results demonstrate that bear markets can offer considerably more opportunities for obtaining excess profits. Finally, we reveal that the cross-correlation between the trends of crude oil prices and low-carbon indexes exhibits significant multifractal characteristics. When the crude oil market is in a bull market or the low-carbon energy market is in a bear market, especially in a larger-scale fluctuation, investors should pay attention to the long-term influence of the counterparty market and carry out a hedging operation to avoid risks.     

Crude oil price forecasting based on internet concern using an extreme learning machine

The growing internet concern (IC) over the crude oil market and related events influences market trading, thus creating further instability within the oil market itself. We propose a modeling framework for analyzing the effects of IC on the oil market and for predicting the price volatility of crude oil’s futures market. This novel approach decomposes the original time series into intrinsic modes at different time scales using bivariate empirical mode decomposition (BEMD). The relationship between the oil price volatility and IC at an individual frequency is investigated. By utilizing decomposed intrinsic modes as specified characteristics, we also construct extreme learning machine (ELM) models with variant forecasting schemes. The experimental results illustrate that ELM models that incorporate intrinsic modes and IC outperform the baseline ELM and other benchmarks at distinct horizons. Having the power to improve the accuracy of baseline models, internet searching is a practical way of quantifying investor attention, which can help to predict short-run price fluctuations in the oil market.     

Preventing wildlife crime with a focus on orangutans: Applying social influence techniques to public education efforts

Orangutans are projected to become critically endangered or extinct this century if humans continue to destroy their habitat. Threats include legal and illegal clearcutting of rain forests to establish palm oil plantations, climate change, and transnational organized crime. This study examines how self-benefit and other benefit appeals, knowledge of threats, concern about habitat loss, and liking orangutans are associated with (a) intent to protect habitat due to licit threats and crimes against wildlife, and (b) seeking information to save habitat. Upon entry to a zoo, 251 (118 men, 128 women, and 5 unknown) persons viewed posters highlighting the benefits of habitat conservation to self or others and completed a survey. Concern, threat knowledge, liking, and self-benefit and other benefit appeals accounted for 28% of the variance associated with intent to take action to protect the habitat. Integrating social influence principles into zoo displays and addressing barriers that prevent conservation behavior are discussed. The ideas in this paper are relevant to many primates and endangered species.     

油田井下作业事故分析及应对措施探讨

石油行业是我国工业发展的命脉,能够为国家创造更高的经济价值。但是,这个行业也同样伴随着较高的安全风险。石油井下作业过程往往复杂多变,具有极高的危险性。本文首先列举了石油井下作业事故的类型,接着详细分析了安全事故的发生原因,最后针对发现的问题,提出了相应的应对措施,希望可以对油田井下作业安全防治问题有所帮助。