Commodity price variability monthly summary - August 2022

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 2022
Subjects:
Online Access:https://hdl.handle.net/10568/141127
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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
id CGSpace141127
institution CGIAR Consortium
language Inglés
publishDate 2022
publishDateRange 2022
publishDateSort 2022
publisher International Food Policy Research Institute
publisherStr International Food Policy Research Institute
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spelling CGSpace1411272025-12-08T10:11:39Z Commodity price variability monthly summary - August 2022 International Food Policy Research Institute cocoa beans commodities cotton rice maize soybeans coffee beans markets 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 2022-11-22 2024-04-12T13:37:19Z 2024-04-12T13:37:19Z Brief https://hdl.handle.net/10568/141127 en Open Access application/pdf International Food Policy Research Institute International Food Policy Research Institute (IFPRI). 2022. Commodity price variability monthly summary - August 2022. Commodity Price Variability Monthly Outlook August 2022. Washington, DC: International Food Policy Research Institute (IFPRI). https://hdl.handle.net/10568/141127
spellingShingle cocoa beans
commodities
cotton
rice
maize
soybeans
coffee beans
markets
food prices
wheat
prices
sugar
International Food Policy Research Institute
Commodity price variability monthly summary - August 2022
title Commodity price variability monthly summary - August 2022
title_full Commodity price variability monthly summary - August 2022
title_fullStr Commodity price variability monthly summary - August 2022
title_full_unstemmed Commodity price variability monthly summary - August 2022
title_short Commodity price variability monthly summary - August 2022
title_sort commodity price variability monthly summary august 2022
topic cocoa beans
commodities
cotton
rice
maize
soybeans
coffee beans
markets
food prices
wheat
prices
sugar
url https://hdl.handle.net/10568/141127
work_keys_str_mv AT internationalfoodpolicyresearchinstitute commoditypricevariabilitymonthlysummaryaugust2022