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May 16 in Parallel Session 3D "Food Price Spikes & Financial Crises: Dealing with Regional and International Market Shocks". Presented by Maximo Torero, IFPRI.
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Maximo [email protected]
Is better global governance of thefood system the answer to
improve resilience?
BUILDING RESILIENCE FOR FOOD & NUTRITION SECURITY
15-17 MAY 2014, ADDIS ABABA, ETHIOPIA
Effects on world prices of trade policy reactions for selected countries
0% 10% 20%
Exogenous demand increase [initialperturbation]
Effects of increases in export taxesto mitigate the shock on domesticprices
Effects of decrease in import dutiesto mitigate the shock on domesticprices
Interaction effects between importand export restrictions
Policy Effects
“Natural” Shock
Source: Bouet and Laborde, 2009. MIRAGE simulations
Import tariffs on food products: a heavy burden for the poor
0.00%
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Average Tariff on Calories Average Tariff on Proteins
Source: Deason and Laborde (2010)
Periods of Excessive Volatility
Note: This figure shows the results of a model of the dynamic evolution of daily returns based on historical data going back to 1954 (known as the Nonparametric Extreme Quantile (NEXQ) Model). This model is then combined with extreme value theory to estimate higher-order quantiles of the return series, allowing for classification of any particular realized return (that is, effective return in the futures market) as extremely high or not. A period of time characterized by extreme price variation (volatility) is a period of time in which we observe a large number of extreme positive returns. An extreme positive return is defined to be a return that exceeds a certain pre-established threshold. This threshold is taken to be a high order (95%) conditional quantile, (i.e. a value of return that is exceeded with low probability: 5 %). One or two such returns do not necessarily indicate a period of excessive volatility. Periods of excessive volatility are identified based a statistical test applied to the number of times the extreme value occurs in a window of consecutive 60 days.
Source: Martins-Filho, Torero, and Yao 2010. See details at http://www.foodsecurityportal.org/soft-wheat-price-volatility-alert-mechanism.
2014
Please note Days of Excessive volatility for 2014 are through March 2014
What is happening today
In summary
Global Stock to use ratios
High concentration of exports
Increase in the number of extreme events
Source: www.emdat.be Year
Num
ber o
f ext
rem
e ev
ents