Modeling food price volatility and testing heat wave and/or meteor shower effects: Evidence for Asia and Pacific countries
This paper assesses the volatility and cross country mean and volatility spillover effects of food prices within and across global and selected Asian and Pacific countries namely Australia, New Zealand, South Korea, Singapore, Hong Kong, Taiwan, India and Thailand. The principal method of analysis...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Canadian Center of Science and Education
2012
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/34747/ http://irep.iium.edu.my/34747/ http://irep.iium.edu.my/34747/1/20754-67783-1-PB_Asian_social_science.pdf |
| Summary: | This paper assesses the volatility and cross country mean and volatility spillover effects of food prices within and
across global and selected Asian and Pacific countries namely Australia, New Zealand, South Korea, Singapore,
Hong Kong, Taiwan, India and Thailand. The principal method of analysis comprises the development of a set of
component GARCH-type models of conditional variance. Volatility characteristics and spillover effects of food
prices are examined across a full (1995-2010) and two subsamples (1995-2001 and 2002-2010) with daily food
price indices. Main findings of the study are as follows: (1) like other asset prices, food price volatility can be
modelled by CGARCH variant of GARCH-family models for world as well as country specific levels, (2)
increased risk does not necessarily lead to increased returns for world and specified countries except few
instances, (3) mixed evidence of cross country mean and volatility spillover effects are reported. No exact
direction of spillover effects from exporter to importer or importer to exporter countries can be drawn rather
mixed evidence of spillover from exporter to importer, exporter to exporter, importer to exporter and
geographical proximity can be documented. The ‘meteor shower’ hypothesis that the conditional variance of the
change in one market depends on the past information of other markets dominates ‘heat wave’ hypothesis that
the conditional variance depends on the past information of that market while for shorter time period ‘heat wave’
effects dominate ‘meteor shower’ effects |
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