Price Relationships and Spillover Effects of Price Volatilities in Iran's Rice Market
Authors
Abstract:
Rice plays an especial role in Iranian households' nutrition basket. The volatilities of its price during recent years caused consumers' dissatisfaction. This paper investigates spillover effects of price volatilities (at the wholesale and retail levels) in the Guilan Province rice market. The Generalized Autoregressive Conditional Hetroscedasitic (GARCH) model was used for the monthly time period of 1999 to 2013. As the results of the unit root tests showed, the monthly time series of Sadri-Momtaz variety wholesale price and Sadri-Momtaz variety retail price have unit roots in zero frequency or they are I(1). Considering the amounts of trace and maximum eigen values statistics, there is a long-run relationship between Sadri-Momtaz variety wholesale and retail monthly price time series. Coefficients of normalized cointegration vector showed that, with one percent increase (decrease) in retail price, it would be likely that wholesale price could increase (decrease) by 0.99 percent. Results of GRACH model revealed that spillover effects exist from the retail price to the wholesale price and vice versa. In addition, price volatility in retail and wholesale levels had positive and significant effects on its own level price volatility. Accordingly, providing proper policy packages in both supply and demand sides were advised.
similar resources
price volatility spillover effects in beef market of tehran province
the price volatility spillover effect indicates that price volatility in different markets can be mutually affected. the objective of the study is to analyze volatility price spillover effects on the vertical levels including input, wholesale and retail sale levels in the tehran beef supply chain. the multivariate generalized autoregressive conditional heteroskedastic (mvgarch) model was used b...
full textPrice Transmission Mechanism in the Iranian Rice Market
In this article, we estimate the vertical price transmission through the Iranian rice marketing chain by usingmonthly data from March 2000 to February, 2009 and error correction model (ECM).The causality testresults indicate that changes in the producer price clearly led changes in wholesale and retail prices. InProducer-Retail and Wholesale-Retail models, price transmission is asymmetric but i...
full textInvestigating Market Integration and Price Transmission of Different Rice Qualities in Iran
Rice production in most of Asian countries has been increased more rapidly than population and this has been led to increase in supply and proportionately decrease in the real price of rice in world and domestic markets. Furthermore, together with growth in production and national gross income of the country per-capita income has been increased and also demand for rice at national and internati...
full textNon-Linear Relationships Among Oil Price, Gold Price and Stock Market Returns in Iran: A Multivariate Regime-Switching Approach
In this paper, the effects of oil and gold prices on stock market index are investigated. We use a cointegrated vector autoregressive Markov-switching model to examine the nonlinear properties of these three variables during the period of January 2003 - December 2014. The Markov-switching vector-equilibrium-correction model with three regimes representing "deep recession", "mild recession" and ...
full textThe Law of One Price and the Cointegration of Meat Price in The Global Market: The Case of Iran’s Market
In view of the importance of the meat imports and the exports of meat in Iran, this study focuses on the status of the global market of meat imports the unit price test in these markets between the years 1961 and 2011 using the market cointegration approach. The results of this study are indicative of prices co-integration in the international market of meat as well as among such major importer...
full textMy Resources
Journal title
volume 7 issue 4
pages 429- 438
publication date 2017-12-01
By following a journal you will be notified via email when a new issue of this journal is published.
Hosted on Doprax cloud platform doprax.com
copyright © 2015-2023