Commodity price variability monthly summary - May 2023

About the Excessive Food Price Variability Tool The Excessive Food Price Variability Early Warning System was developed and is maintained by IFPRl's Food Security Portal (FSP). It identifies periods of unusual price variability in world commodity markets (i.e. price variability that exceeds a pre-es...

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Main Author: International Food Policy Research Institute
Format: Brief
Language:Inglés
Published: International Food Policy Research Institute 2023
Subjects:
Online Access:https://hdl.handle.net/10568/140161
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author International Food Policy Research Institute
author_browse International Food Policy Research Institute
author_facet International Food Policy Research Institute
author_sort International Food Policy Research Institute
collection Repository of Agricultural Research Outputs (CGSpace)
description About the Excessive Food Price Variability Tool The Excessive Food Price Variability Early Warning System was developed and is maintained by IFPRl's Food Security Portal (FSP). It identifies periods of unusual price variability in world commodity markets (i.e. price variability that exceeds a pre-established estimated band). It is updated daily and uses a traffic light system that alerts about the number of days of high, moderate, or low price variability. The excessive price variability measures are estimated through a model of the day to day fluctuations of price variations in futures commodity markets. For all data, trends, and methods, see: https://www.foodsecurityportal.org
format Brief
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institution CGIAR Consortium
language Inglés
publishDate 2023
publishDateRange 2023
publishDateSort 2023
publisher International Food Policy Research Institute
publisherStr International Food Policy Research Institute
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spelling CGSpace1401612025-12-08T10:11:39Z Commodity price variability monthly summary - May 2023 International Food Policy Research Institute cocoa beans commodities cotton rice maize soybeans coffee beans markets price volatility food prices wheat prices sugar About the Excessive Food Price Variability Tool The Excessive Food Price Variability Early Warning System was developed and is maintained by IFPRl's Food Security Portal (FSP). It identifies periods of unusual price variability in world commodity markets (i.e. price variability that exceeds a pre-established estimated band). It is updated daily and uses a traffic light system that alerts about the number of days of high, moderate, or low price variability. The excessive price variability measures are estimated through a model of the day to day fluctuations of price variations in futures commodity markets. For all data, trends, and methods, see: https://www.foodsecurityportal.org 2023-06-01 2024-03-14T12:09:00Z 2024-03-14T12:09:00Z Brief https://hdl.handle.net/10568/140161 en Open Access application/pdf International Food Policy Research Institute International Food Policy Research Institute (IFPRI). 2023. Commodity price variability monthly summary - May 2023. Commodity Price Variability Monthly Outlook May 2023. Washington, DC: International Food Policy Research Institute (IFPRI). https://hdl.handle.net/10568/140161
spellingShingle cocoa beans
commodities
cotton
rice
maize
soybeans
coffee beans
markets
price volatility
food prices
wheat
prices
sugar
International Food Policy Research Institute
Commodity price variability monthly summary - May 2023
title Commodity price variability monthly summary - May 2023
title_full Commodity price variability monthly summary - May 2023
title_fullStr Commodity price variability monthly summary - May 2023
title_full_unstemmed Commodity price variability monthly summary - May 2023
title_short Commodity price variability monthly summary - May 2023
title_sort commodity price variability monthly summary may 2023
topic cocoa beans
commodities
cotton
rice
maize
soybeans
coffee beans
markets
price volatility
food prices
wheat
prices
sugar
url https://hdl.handle.net/10568/140161
work_keys_str_mv AT internationalfoodpolicyresearchinstitute commoditypricevariabilitymonthlysummarymay2023