Knoema provides access to the World Bank Commodity Price data through an online database tool. World Bank Commodity Prices are available through Knoema on an annual/monthly basis. Data are updated continuously.
Website: https://knoema.com/WBCPD2015Oct/world-bank-commodity-price-data-pink-sheet-monthly-update
Public Domain Mark 1.0https://creativecommons.org/publicdomain/mark/1.0/
License information was derived automatically
Nominal prices in USD for selected key international commodity prices relevant to Pacific Island Countries and Territories, extracted from World bank Commodity Prices (« pink sheets ») and from FAO GLOBEFISH European Fish Price Report.
Find more Pacific data on PDH.stat.
The Development Prospects Group increases understanding by providing analytical services to the World Bank and the wider development community. Pink sheets are produced monthly and provide monthly, quarterly and annual data on the latest world bank commodity prices for a list of different commodities.
Website: http://www.worldbank.org/en/research/commodity-markets
https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
➡️A data set on select, monthly commodity prices made available by the World Bank in its so-called "pink sheet." These data are potentially useful for applications on data gathering, inflation adjustments, indexing, cointegration, general economic riff-raff, and more.
Column | Description |
---|---|
date | a date |
oil_brent | crude oil, UK Brent 38' API ($/bbl) |
oil_dubai | crude oil, Dubai Fateh 32 API for years 1985-present; 1960-84 refer to Saudi Arabian Light, 34' API ($/bbl). |
coffee_arabica | coffee (ICO), International Coffee Organization indicator price, other mild Arabicas, average New York and Bremen/Hamburg markets, ex-dock ($/kg) |
coffee_robustas | coffee (ICO), International Coffee Organization indicator price, Robustas, average New York and Le Havre/Marseilles markets, ex-dock ($/kg) |
tea_columbo | tea (Colombo auctions), Sri Lankan origin, all tea, arithmetic average of weekly quotes ($/kg). |
tea_kolkata | tea (Kolkata auctions), leaf, include excise duty, arithmetic average of weekly quotes ($/kg). |
tea_mombasa | tea (Mombasa/Nairobi auctions), African origin, all tea, arithmetic average of weekly quotes ($/kg). |
sugar_eu | sugar (EU), European Union negotiated import price for raw unpackaged sugar from African, Caribbean and Pacific (ACP) under Lome Conventions, c.I.f. European ports ($/kg) |
sugar_us | sugar (United States), nearby futures contract, c.i.f. ($/kg) |
sugar_world | sugar (World), International Sugar Agreement (ISA) daily price, raw, f.o.b. and stowed at greater Caribbean ports ($/kg). |
All data are in nominal USD. Adjust (to taste) accordingly.
Data compiled by the World Bank for its historical data on commodity prices. The oil price data come from a combination of sources, supposedly Bloomberg, Energy Intelligence Group (EIG), Organization of Petroleum Exporting Countries (OPEC), and the World Bank. Data on coffee prices come from Bloomberg, Complete Coffee Coverage, the International Coffee Organization, Thomson Reuters Datastream, and the World Bank. Data on tea prices for Colombo auctions come the from International Tea Committee, Tea Broker's Association of London, Tea Exporters Association Sri Lanka, and the World Bank. Data on tea prices for Kolkata auctions come from the International Tea Committee, Tea Board India, Tea Broker's Association of London, and the World Bank. Tea prices for Mombasa/Nairobi auctions come from African Tea Brokers Limited, International Tea Committee, Tea Broker's Association of London, and the World Bank. EU sugar price data come from International Monetary Fund, World Bank. Sugar price data for the United States come from Bloomberg and World Bank. Global sugar price data come from Bloomberg, International Sugar Organization, Thomson Reuters Datastream, and the World Bank.
This data set effectively deprecates the sugar_price and coffee_price data sets in this package. Both may be removed at a later point.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The dataset contains data illustrating the results of detecting and data-stamping price explosivity periods in national art markets in G-7 countries with additional investments from a second group (MSCI, S&P 500, crude oil, gold and silver). The files contain:• 01_diagnostics_gsadf – summary of results for analysed time series.• 02_st_value – obtained statistical test value for GSADF procedure.• 03_st_cv – critical values from Monte Carlo simulation with 2,000 repetitions.• 04_datestamp_gsadf_results – characteristics for detected price explosivity periods.• 05_dummy_results_gsadf – base for co-explosivity analysis.• 06_DS – value for descriptive statistics for logarithmical rates of return, which were calculated based on the raw data.• 07_mydata.coeff, 08_mydata.p, 09_mydata.n – correlation analysis results, phi coefficient values, p-value and number of observations, respectively. The main sources of information for the study are:• Art Market Research (national painting markets), • MSCI (MSCI World Index), • World Bank, “Pink Sheet” (other investments).
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Knoema provides access to the World Bank Commodity Price data through an online database tool. World Bank Commodity Prices are available through Knoema on an annual/monthly basis. Data are updated continuously.
Website: https://knoema.com/WBCPD2015Oct/world-bank-commodity-price-data-pink-sheet-monthly-update