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- Data for: Deep belief network for gold price forecastingThe data of CPI of US, the federal funds rate, crude oil future price, the nominal effective exchange rate and Dow Jones index and gold price are presented in the table。 Gold price is the closing price of the last trading day of the London market at the end of each month, in dollars per ounce. The U.S. consumer price index (CPI) is the CPI index for all urban consumers (2010=100). The federal funds rate of the United States is analyzed by means of the arithmetic average of all trading days of the month as the monthly value. The price of oil futures is the closing price of the last trading day of the month. The nominal effective exchange rate of the United States is converted to 100 in 2010. Dow Jones index is the Dow Jones industries average index, which is the closing price index of the last trading day of the month. The sample period extends from 01/1984 to 12/2019 of 432 months for a total of 432 observations.
- Data for: Estimating total potential material recovery from EEE in EU28The repository contains the data around artificial ore grade for electrical equipment and electronics. It refers to the maximum material recovery potential, matching data from recycling technology, material composition and inflow-driven data. The article is currently following the last steps of writing. The files are intended to aid the comprension of the article results and foster further research. A grateful salute is given to: the authors of the PROSUM Project, responsible for the inflow-driven data and for the composition estimation; Ongondo et al. for resuming the composition estimations of other works; Awasthi et al for the review on recovery strategies. Furthermore, assistances and feedbacks were recived by the team of BOKU Wien. In particular a grateful salute is fowarded to Haberl, Streeck, Kraussmann, Wiedenhofer.
- Data for: Natural resource rent allocation and concession design: the case of copper in ChileThis file contains data on the 12 largest private copper developers in Chile and the calculations to obtain rent estimates used in the article "Natural resource rent allocation, government quality, and concession design: the case of copper in Chile"
- Data for: Predicting stock returns using crude oil prices: A firm level analysis of Nigeria’s oil and gas sectorSP = Company's share price TBR = Average primary market T/bill rates BRENT = Brent oil price WTI = West Texas Intermediate price LBRENT = Natural log of Brent price DLBRENT = First Difference of LBRENT PBR = Term for positive changes for BRENT NBR = Term for negative changes for BRENT LWTI = Natural log of WTI DLWTI = First Difference of LWTI PW = Term for positive changes in WTI NW = Term for negative changes in WTI
- Data for: Assessment of natural gas supply security in Asia-Pacific: Composite indicators with compromise Benefit-of-the-Doubt weightsAll raw data for each indicator in Appendix A and the supplementary result in Appendix B for reference.
- Data for: Fundamentals versus Speculation in Oil Market: The Role of Asymmetries in Price Adjustment? Real Oil Prices by order UK, Dubai, WTI, Crude January 1980 to June 2017
- Data for: The Relationship between Crude Oil Exports, Crude Oil Prices and Military Expenditures in some OPEC CountriesOur data used in the study
- Data for: Domestic Revenue Displacement in Resource-Rich Countries: What’s Oil Money Got to Do with it?Captures full set of data compiled from sources including IMF Article IV Country Reports, Energy Information Administration, World Development Indicators and the International Country Risk Group (ICRG).
- Data for: Do you need cobalt ore? Estimating potential trade relations through link predictionFrom 2009 to 2018, the international cobalt ore trade data has been de reprocessed.
- Data for: Understanding the Government’s Attempt to Transform Attitudes towards a Critical Resource: Gold Monetization in IndiaThis documents consists of three questionnaires: 1. A survey questionnaire for gold consumers to understand consumption and purchase behaviors 2. A qualitative in-depth interview questionnaire for bankers on the gold monetization policy and associated incentives 3. A qualitative in-depth interview questionnaire for refiners on the gold monetization policy and the gold ecosystem The questionnaires were developed in the context of the gold monetization policy in India.
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