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

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

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).

This research looks in detail at the dynamics of pink marketing and its effect on the purchase behavior of Saudi women through mobile applications, with an emphasis on Artificial Intelligence (AI) as a moderator. Furthermore, this study assesses the effects of customized pink marketing strategies – product, price, promotion, and place – on buying intentions and behaviors. A closed-ended questionnaire was adopted to measure constructs associated with women’s mobile app purchase behavior influenced by pink marketing and AI elements. Structural Equation Modeling (SEM) was the study tool used to examine how AI affects women’s consumer behavior and how it influences pink marketing. The results suggest that each component of the pink marketing mix significantly influences buying behavior, especially price and promotion. Additionally, AI has a significant moderating effect, improving the personalization and effectiveness of marketing activities. The results of this study highlight the essential role of AI in forming consumer engagement in the digital market, providing useful input for marketers who intend to target women in Saudi Arabia. This study complements the understanding of gender marketing in the digital era and provides a vision for the possibility of AI fundamentally changing traditional approaches.