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  • 1
    Online-Ressource
    Online-Ressource
    [Washington, DC] :International Monetary Fund, Research Dept.,
    UID:
    edoccha_9958120570702883
    Umfang: 1 online resource (48 p.)
    ISBN: 1-4623-1336-1 , 1-4552-5963-2 , 1-282-84605-1 , 9786612846052 , 1-4552-0112-X
    Serie: IMF working paper ; WP/10/129
    Inhalt: The macroeconomic effects of large food price swings can be broad and far-reaching, including the balance of payments of importers and exporters, budgets, inflation, and poverty. For market participants and policymakers, managing low frequency volatility—i.e., the component of volatility that persists for longer than one harvest year—may be more challenging as uncertainty regarding its persistence is likely to be higher. This paper measures the low frequency volatility of food commodity spot prices using the spline- GARCH approach. It finds that low frequency volatility is positively correlated across different commodities, suggesting an important role for common factors. It also identifies a number of determinants of low frequency volatility, two of which—the variation in U.S. inflation and the U.S. dollar exchange rate—explain a relatively large part of the rise in volatility since the mid-1990s.
    Anmerkung: "May 2010". , Cover Page; Title Page; Copyright Page; I. Introduction; Figure; Figure 1. Real Food Price Volatility, 1875-2009; II. Estimation methodology; Cross-sectional analysis of low frequency volatility; III. Data; Commodity prices; Table 1. Food Commodity Prices 1875-2009; Table; Potential determinants of low frequency food price variationr; Inventories; Macroeconomic factors; Inflation; Exchange rates and interest rates; Global economic activity; Oil price volatility; Global weather patterns; Financial investment and speculation; Agricultural policies; IV. Results; Long-run Volatility Trends , Table 2. Estimations of the Spline-GARCH and GARCH(1,1) Models: 1957-2009Table 3. Estimations of the Spline-GARCH and GARCH(1,1) Models 1875-2009; Table 4. Food Commodity Low Frequency Volatility Correlations, 1875-2009; Figure 2. Low-Frequency Volatility Estimates, 1875-2009; Figure 3. Low-Frequency Volatility Estimates, 1960-2009; The Determinants of Low-Frequency Food Price Volatility; Table 5. Determinants of Low Frequency Volatility: Regression Estimates 1968-2009; Real interest rates; Inflation, exchange rate, and stock market volatility effects; Futures market activity , Real activity levels and volatility effectsEl Niño/La Niña effects - also statistically significant, but small; What does not affect low-frequency food price volatility; Table 6. Determinants of Low Frequency Volatility: Policy variables; What has explained the recent rise in food price volatility?; Figure 4. Corn: Contribution to Low-Frequency Price Volatility 1995-2009; V. Conclusion; Appendix; References; Footnotes
    Sprache: Englisch
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 2
    Online-Ressource
    Online-Ressource
    Washington, D.C : International Monetary Fund
    UID:
    gbv_845894870
    Umfang: Online-Ressource (29 p)
    Ausgabe: Online-Ausg.
    ISBN: 145520112X , 9781455201129
    Serie: IMF Working Papers Working Paper No. 10/129
    Inhalt: The macroeconomic effects of large food price swings can be broad and far-reaching, including the balance of payments of importers and exporters, budgets, inflation, and poverty. For market participants and policymakers, managing low frequency volatility—i.e., the component of volatility that persists for longer than one harvest year—may be more challenging as uncertainty regarding its persistence is likely to be higher. This paper measures the low frequency volatility of food commodity spot prices using the spline- GARCH approach. It finds that low frequency volatility is positively correlated across different commodities, suggesting an important role for common factors. It also identifies a number of determinants of low frequency volatility, two of which—the variation in U.S. inflation and the U.S. dollar exchange rate—explain a relatively large part of the rise in volatility since the mid-1990s
    Weitere Ausg.: Erscheint auch als Druck-Ausgabe Roache, Shaun What Explains the Rise in Food Price Volatility? Washington, D.C. : International Monetary Fund, 2010 ISBN 9781455201129
    Sprache: Englisch
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 3
    Online-Ressource
    Online-Ressource
    Washington, D.C. :International Monetary Fund,
    UID:
    almafu_9958120570702883
    Umfang: 1 online resource (48 p.)
    ISBN: 9786612846052 , 9781462313365 , 1462313361 , 9781455259632 , 1455259632 , 9781282846050 , 1282846051 , 9781455201129 , 145520112X
    Serie: IMF Working Papers
    Inhalt: The macroeconomic effects of large food price swings can be broad and far-reaching, including the balance of payments of importers and exporters, budgets, inflation, and poverty. For market participants and policymakers, managing low frequency volatility—i.e., the component of volatility that persists for longer than one harvest year—may be more challenging as uncertainty regarding its persistence is likely to be higher. This paper measures the low frequency volatility of food commodity spot prices using the spline- GARCH approach. It finds that low frequency volatility is positively correlated across different commodities, suggesting an important role for common factors. It also identifies a number of determinants of low frequency volatility, two of which—the variation in U.S. inflation and the U.S. dollar exchange rate—explain a relatively large part of the rise in volatility since the mid-1990s.
    Anmerkung: "May 2010". , Cover Page; Title Page; Copyright Page; I. Introduction; Figure; Figure 1. Real Food Price Volatility, 1875-2009; II. Estimation methodology; Cross-sectional analysis of low frequency volatility; III. Data; Commodity prices; Table 1. Food Commodity Prices 1875-2009; Table; Potential determinants of low frequency food price variationr; Inventories; Macroeconomic factors; Inflation; Exchange rates and interest rates; Global economic activity; Oil price volatility; Global weather patterns; Financial investment and speculation; Agricultural policies; IV. Results; Long-run Volatility Trends , Table 2. Estimations of the Spline-GARCH and GARCH(1,1) Models: 1957-2009Table 3. Estimations of the Spline-GARCH and GARCH(1,1) Models 1875-2009; Table 4. Food Commodity Low Frequency Volatility Correlations, 1875-2009; Figure 2. Low-Frequency Volatility Estimates, 1875-2009; Figure 3. Low-Frequency Volatility Estimates, 1960-2009; The Determinants of Low-Frequency Food Price Volatility; Table 5. Determinants of Low Frequency Volatility: Regression Estimates 1968-2009; Real interest rates; Inflation, exchange rate, and stock market volatility effects; Futures market activity , Real activity levels and volatility effectsEl Niño/La Niña effects - also statistically significant, but small; What does not affect low-frequency food price volatility; Table 6. Determinants of Low Frequency Volatility: Policy variables; What has explained the recent rise in food price volatility?; Figure 4. Corn: Contribution to Low-Frequency Price Volatility 1995-2009; V. Conclusion; Appendix; References; Footnotes
    Sprache: Englisch
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
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