scholarly journals Carbon Emissions and Brazilian Ethanol Prices: Are They Correlated? An Econophysics Study

2021 ◽  
Vol 13 (22) ◽  
pp. 12862
Author(s):  
Derick David Quintino ◽  
Heloisa Lee Burnquist ◽  
Paulo Jorge Silveira Ferreira
Keyword(s):  
Carbon Emissions ◽  
Cross Correlation ◽  
World Market ◽  
Moderate Correlation ◽  
Short Term ◽  
Sliding Windows ◽  
Carbon Production ◽  
Natural Gas Prices ◽  
Oil And Natural Gas ◽  
The Relationship

Brazil is one of the largest global producers and exporters of ethanol and in 2017 launched RenovaBio, a programme aiming to mitigate greenhouse gas emissions. In parallel to this domestic scenario, there is rapid growth in the world market of carbon production, as well as complex price relations between fossil and renewable energies becoming increasingly important in recent years. The present work aims to contribute to filling a gap in knowledge about the relationship between Brazilian ethanol and other relevant energy-related commodities. We use a recent methodology (Detrended Cross-Correlation Approach—DCCA—with sliding windows) to analyze dynamically the cross-correlation levels between Brazilian ethanol prices and carbon emissions, as well as other possible-related prices, namely: sugar, Brent oil, and natural gas prices, with a sample of daily prices between January 2010 and July 2020. Our results indicate that (i) in the whole period, Brazilian ethanol has significant correlations with sugar, moderate correlation with oil in the short term, and only a weak, short-term correlation with carbon emission prices; (ii) with a sliding windows approach, the strength of the correlation between ethanol and carbon emissions varies between weak and non-significant in the short term.

Time-Series and Dynamic Cross-Correlations Analysis on Unexpected Information: Evidence from Media News and Online Postings

2019 ◽  
Vol 19 (02) ◽  
pp. 2050011
Author(s):  
Yan Li ◽  
Xiangyu Kong ◽  
Xiao Li ◽  
Zuochao Zhang
Keyword(s):  
Mass Media ◽  
New Media ◽  
Trading Volume ◽  
Cross Correlation ◽  
Short Term ◽  
Cross Correlations ◽  
The Cross ◽  
The One ◽  
The Relationship

In this paper, we investigate the relationship between unexpected information from postings and news, and the unexpected information is measured by the residual of regressions of trading volume on numbers of news or postings. We mainly find that (i) There are significant positive contemporaneous correlations between the unexpected information coming from postings and different kinds of news; the correlation between the unexpected information coming from postings and new media news is stronger than that between the unexpected information coming from postings and mass media news; (ii) The unexpected information coming from postings could cause the unexpected information coming from news, but only the unexpected information coming from the mass media news could cause that coming from postings; (iii) There are persistent power-law cross-correlations between the unexpected information coming from postings and that coming from mass media news and new media news. The cross-correlation between the unexpected information coming from postings and new media news is more persistent than the one between the unexpected information coming from postings and mass media news. The cross-correlations are all more stable in long term than in short term. We attribute our findings above to the dissemination speed of the information on the Internet.

scholarly journals The Relationship Between Oil and Natural Gas Prices on the Malaysian Economic Sectors

2018 ◽  
Vol 7 (4.34) ◽  
pp. 118
Author(s):  
Nur Surayya Mohd Saudi ◽  
Wong Hock Tsen ◽  
Abdul Latif Harun ◽  
Zailin Zainal Ariffin ◽  
Nur Zahidah Syafii ◽  
...  
Keyword(s):  
Natural Gas ◽  
Positive Relationship ◽  
High Energy ◽  
Series Data ◽  
Economic Sectors ◽  
Agriculture Sector ◽  
Natural Gas Prices ◽  
Oil And Natural Gas ◽  
The Impact ◽  
The Relationship

This study has investigated the relationship between the changes in oil and natural gas prices on the Malaysian economic sectors. Four economic sectors were selected namely manufacturing, services, agriculture, and mining. However, there was less study conducted at the sector level. Hence, the goal of this paper is to explore the impact of oil and gas prices on economic sectors GDP. This study has conducted econometrics modelling based on the ARDL bound testing with the spanning time series data from year 1987 to 2017. The empirical findings revealed that the relationship between the oil and natural gas prices in the manufacturing and services sector is negative, while the agriculture sector showed a positive relationship, and the mining sector showed no relationship. The empirical findings concluded that the manufacturing and services sectors that consumed more energy are dependent on the price changes. Meanwhile, the agriculture sector is a highly subsidised sector which has a positive relationship with energy prices. In the policy recommendation, Malaysia has to apply the energy pricing policy by offering energy subsidy to the high energy consumed sectors. Finally, Malaysia should develop policies that can diversify its energy resources and increase the shares of renewable energy sources. 

Investigation for the Role of Oil and Natural Gas in the BIST Sector Indexes in Turkey

2021 ◽  
pp. 262-283
Author(s):  
Uğur Uzun ◽  
Zafer Adalı
Keyword(s):  
Natural Gas ◽  
Financial Performance ◽  
Unit Root ◽  
Primary Energy ◽  
Energy Prices ◽  
Long Run ◽  
Natural Gas Prices ◽  
Oil And Natural Gas ◽  
The Relationship

In this chapter, the authors aim to investigate the association between the primary energy sources' prices involving oil and natural gas and sectors indices operating the Turkey stock market for the period covering 2012M1-2021M3. Regarding energy price indicators, Brent oil and natural gas real-time future prices are preferred in the models, and BIST Industrials (XUSIN), BIST Chem-Petrol Plastic (XKMYA), and BIST Electricity (XELKT) indices are used as financial performance indicators. Fourier unit root tests improved by Becker et al. and Fourier co-integration tests improved by Tsong et al. are employed to investigate the relationship between considered variables. As a result of the models, it is found that the energy prices and financial performance index do not move together in the long run; in other words, change in oil and natural gas prices seem not to have an impact on the sector indexes.

A wavelet analysis of the relationship between oil and natural gas prices

2019 ◽  
Vol 60 ◽  
pp. 118-124 ◽  
Author(s):  
Aviral Kumar Tiwari ◽  
Zinnia Mukherjee ◽  
Rangan Gupta ◽  
Mehmet Balcilar
Keyword(s):  
Natural Gas ◽  
Wavelet Analysis ◽  
Natural Gas Prices ◽  
Oil And Natural Gas ◽  
The Relationship

scholarly journals Sustainability Assessment Based on Integrating EKC with Decoupling: Empirical Evidence from China

2021 ◽  
Vol 13 (2) ◽  
pp. 655
Author(s):  
Donghui Lv ◽  
Ruru Wang ◽  
Yu Zhang
Keyword(s):  
Economic Growth ◽  
Sustainable Development ◽  
Carbon Emissions ◽  
Manufacturing Industry ◽  
Assessment Methods ◽  
Short Term ◽  
Decoupling Analysis ◽  
Long Term Trends ◽  
The Relationship

In September 2020, the Chinese government proposed a climate change commitment that aims to make carbon emissions peak before 2030 and achieve carbon neutrality by 2060. In this context, it is important to examine the relationship between economic growth and carbon emissions. The Environmental Kuznets Curve (EKC) and decoupling analysis are commonly used assessment methods for regional sustainable development. Each method has a particular emphasis: the former focuses on long-term trends and the latter on short-term change. Integrating the EKC hypothesis with decoupling analysis is helpful to diagnose the relationship between economic growth and the carbon emissions of the manufacturing industry from the perspective of long-term trends and short-term changes. The results showed that the EKC passed the inflection point for both China’s entire manufacturing industry and manufacture of nonmetallic mineral product subsector (MNM), but not in the other four main subsectors from 1995 to 2017. Strong decoupling, weak decoupling, and expansive coupling were observed between CO2 emissions and the value added in China’s entire manufacturing industry, in which weak decoupling accounted for the largest proportion. The decoupling index showed a downward trend on the whole. The decoupling status of subsectors from 1995 to 2017 was mainly weak decoupling, but different subsectors also showed characteristics of differentiation. At present, integrating EKC with decoupling has only occurred across the entire manufacturing industry and MNM. This study will provide suggestions for carbon reductions in China and will enrich the assessment methods of sustainable development.

Reliability of the Minimum Masking Level as Outcome Variable in Tinnitus Clinical Research

2020 ◽  
Vol 29 (3) ◽  
pp. 429-435
Author(s):  
Patricia C. Mancini ◽  
Richard S. Tyler ◽  
Hyung Jin Jun ◽  
Tang-Chuan Wang ◽  
Helena Ji ◽  
...  
Keyword(s):  
Standard Deviation ◽  
High Frequency ◽  
Pearson Correlation ◽  
Correlation Coefficients ◽  
Outcome Variable ◽  
Reliable Estimate ◽  
Moderate Correlation ◽  
Trained Subjects ◽  
The Relationship ◽  
Minimum Intensity

Purpose The minimum masking level (MML) is the minimum intensity of a stimulus required to just totally mask the tinnitus. Treatments aimed at reducing the tinnitus itself should attempt to measure the magnitude of the tinnitus. The objective of this study was to evaluate the reliability of the MML. Method Sample consisted of 59 tinnitus patients who reported stable tinnitus. We obtained MML measures on two visits, separated by about 2–3 weeks. We used two noise types: speech-shaped noise and high-frequency emphasis noise. We also investigated the relationship between the MML and tinnitus loudness estimates and the Tinnitus Handicap Questionnaire (THQ). Results There were differences across the different noise types. The within-session standard deviation averaged across subjects varied between 1.3 and 1.8 dB. Across the two sessions, the Pearson correlation coefficients, range was r = .84. There was a weak relationship between the dB SL MML and loudness, and between the MML and the THQ. A moderate correlation ( r = .44) was found between the THQ and loudness estimates. Conclusions We conclude that the dB SL MML can be a reliable estimate of tinnitus magnitude, with expected standard deviations in trained subjects of about 1.5 dB. It appears that the dB SL MML and loudness estimates are not closely related.

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