IDEAS home Printed from https://ideas.repec.org/p/cde/cdewps/219.html
   My bibliography  Save this paper

Weather Shocks, Spot and Futures Agricultural Commodity Prices- An Analysis for India

Author

Listed:
  • N. R. BHANUMURTHY

    (National Institute of Public Finance and Policy)

  • PAMI DUA

    (Department of Economics, Delhi School of Economics, Delhi, India)

  • LOKENDRA KUMAWAT

    (Ramjas College, University of Delhi)

Abstract

We analyze the impact of climate shocks on price formation in spot and futures market for food in India where until the recent introduction of commodity futures markets in 2005, the transmission of these shocks on short-term (spot) price movements was unclear. The existence of a futures market is expected to reduce risk, a major component in agricultural production as well as in price formation. Hitherto, the price discovery mechanism was weak and end price was expected to be different (mostly higher unless if some product prices are administered) from equilibrium price. In addition, this weak mechanism was expected to result in higher price volatility. Though the commodity futures market in India is nascent, we model transmission of weather shocks to future and spot prices using monthly data. Based on cointegration analysis, our results suggest strong cointegration between futures prices (based on MCX AGRI-future index) and spot prices (MCX AGRI-spot index) for commodities traded in futures markets. Our causality and impulse response results show futures prices Granger cause spot prices--a shock in futures prices appears to have an impact on spot prices at least for a five month period with maximum impact with a lag of one month. Changes in rainfall affect both futures and spot prices with different lags. Although there could be other factors that affect the futures prices, after controlling for fuel prices our results clearly show the transmission mechanism of weather shocks to prices. Further, with the help of smooth transition models, the study finds that the bivariate relationship between rainfall and prices of rice, wheat and pulses show some non-linearity with the structural change happening after the introduction of futures market. Also, this relation is found to be much stronger with the introduction futures market.

Suggested Citation

  • N. R. Bhanumurthy & Pami Dua & Lokendra Kumawat, 2012. "Weather Shocks, Spot and Futures Agricultural Commodity Prices- An Analysis for India," Working papers 219, Centre for Development Economics, Delhi School of Economics.
  • Handle: RePEc:cde:cdewps:219
    as

    Download full text from publisher

    File URL: http://www.cdedse.org/pdf/work219.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Ron Alquist & Lutz Kilian, 2010. "What do we learn from the price of crude oil futures?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(4), pages 539-573.
    2. Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
    3. Garbade, Kenneth D & Silber, William L, 1983. "Price Movements and Price Discovery in Futures and Cash Markets," The Review of Economics and Statistics, MIT Press, vol. 65(2), pages 289-297, May.
    4. Pesaran, H. Hashem & Shin, Yongcheol, 1998. "Generalized impulse response analysis in linear multivariate models," Economics Letters, Elsevier, vol. 58(1), pages 17-29, January.
    5. Nicholas Kaldor, 1939. "Speculation and Economic Stability," Review of Economic Studies, Oxford University Press, vol. 7(1), pages 1-27.
    6. Huang, Bwo-Nung & Yang, C.W. & Hwang, M.J., 2009. "The dynamics of a nonlinear relationship between crude oil spot and futures prices: A multivariate threshold regression approach," Energy Economics, Elsevier, vol. 31(1), pages 91-98, January.
    7. Dasgupta, Dipak & Dubey, R.N. & Sathish, R, 2011. "Domestic Wheat Price Formation and Food Inflation in India," MPRA Paper 31564, University Library of Munich, Germany.
    8. Robert S. Pindyck, 2001. "The Dynamics of Commodity Spot and Futures Markets: A Primer," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 1-30.
    9. Dong-Hyun Ahn & Jacob Boudoukh & Matthew Richardson & Robert F. Whitelaw, 2002. "Partial Adjustment or Stale Prices? Implications from Stock Index and Futures Return Autocorrelations," Review of Financial Studies, Society for Financial Studies, vol. 15(2), pages 655-689, March.
    10. Granger, C. W. J., 1988. "Some recent development in a concept of causality," Journal of Econometrics, Elsevier, vol. 39(1-2), pages 199-211.
    11. Granger, C. W. J. & Newbold, P., 1974. "Spurious regressions in econometrics," Journal of Econometrics, Elsevier, vol. 2(2), pages 111-120, July.
    12. Chan, Kalok, 1992. "A Further Analysis of the Lead-Lag Relationship between the Cash Market and Stock Index Futures Market," Review of Financial Studies, Society for Financial Studies, vol. 5(1), pages 123-152.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. N. R. Bhanumurthy & Pami Dua & Lokendra Kumawat, 2013. "Weather Shocks And Agricultural Commodity Prices In India," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 4(03), pages 1-20.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Abhijit Sharma & Theodore Panagiotidis, 2003. "An Analysis of Exports and Growth in India: Some Empirical Evidence (1971-2001)," Working Papers 2003004, The University of Sheffield, Department of Economics, revised Nov 2003.
    2. Pami Dua, 2008. "Analysis of Consumers’ Perceptions of Buying Conditions for Houses," The Journal of Real Estate Finance and Economics, Springer, vol. 37(4), pages 335-350, November.
    3. Miroslava Zavadska & Lucía Morales & Joseph Coughlan, 2018. "The Lead–Lag Relationship between Oil Futures and Spot Prices—A Literature Review," IJFS, MDPI, vol. 6(4), pages 1-22, October.
    4. Kavussanos, Manolis G. & Visvikis, Ilias D., 2004. "Market interactions in returns and volatilities between spot and forward shipping freight markets," Journal of Banking & Finance, Elsevier, vol. 28(8), pages 2015-2049, August.
    5. Alzahrani, Mohammed & Masih, Mansur & Al-Titi, Omar, 2014. "Linear and non-linear Granger causality between oil spot and futures prices: A wavelet based test," Journal of International Money and Finance, Elsevier, vol. 48(PA), pages 175-201.
    6. Roberto Cellini & Tiziana Cuccia, 2013. "Museum and monument attendance and tourism flow: a time series analysis approach," Applied Economics, Taylor & Francis Journals, vol. 45(24), pages 3473-3482, August.
    7. Banu Demirhan, 2016. "Financial Development and Investment Amount Nexus: A Case Study of Turkey," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 6(3), pages 127-134, March.
    8. Sayef Bakari, 2017. "The Impact of Vegetables Exports on Economic Growth in Tunisia," Economic Research Guardian, Weissberg Publishing, vol. 7(2), pages 72-87, December.
    9. Nour Wehbe & Bassam Assaf & Salem Darwich, 2018. "Étude de causalité entre la consommation d’électricité et la croissance économique au Liban," Post-Print hal-01944291, HAL.
    10. Shabbir Ahmad & Abul Shamsuddin & Malcolm Treadgold, 2012. "A monetary analysis of foreign exchange market disequilibrium in Fiji," International Journal of Economic Policy in Emerging Economies, Inderscience Enterprises Ltd, vol. 5(1), pages 66-81.
    11. Pami Dua & Nishita Raje & Satyananda Sahoo, 2004. "Interest Rate Modeling and Forecasting in India," Occasional papers 3, Centre for Development Economics, Delhi School of Economics.
    12. Mansor H. Ibrahim, 2006. "Stock Prices and Bank Loan Dynamics in a Developing Country: The Case of Malaysia," Journal of Applied Economics, Taylor & Francis Journals, vol. 9(1), pages 71-89, May.
    13. Guglielmo Maria Caporale & Davide Ciferri & Alessandro Girardi, 2014. "Time-Varying Spot and Futures Oil Price Dynamics," Scottish Journal of Political Economy, Scottish Economic Society, vol. 61(1), pages 78-97, February.
    14. Huang, Bwo-Nung & Yang, C.W. & Hwang, M.J., 2009. "The dynamics of a nonlinear relationship between crude oil spot and futures prices: A multivariate threshold regression approach," Energy Economics, Elsevier, vol. 31(1), pages 91-98, January.
    15. Tang, Chor Foon, 2011. "Tourism, real output and real effective exchange rate in Malaysia: a view from rolling sub-samples," MPRA Paper 29379, University Library of Munich, Germany.
    16. Hatzigeorgiou, Emmanouil & Polatidis, Heracles & Haralambopoulos, Dias, 2011. "CO2 emissions, GDP and energy intensity: A multivariate cointegration and causality analysis for Greece, 1977-2007," Applied Energy, Elsevier, vol. 88(4), pages 1377-1385, April.
    17. Wang, Sen & Gao, Yi, 2021. "A literature review and citation analyses of air travel demand studies published between 2010 and 2020," Journal of Air Transport Management, Elsevier, vol. 97(C).
    18. Fernandez-Perez, Adrian & Fuertes, Ana-Maria & Miffre, Joelle, 2021. "The risk premia of energy futures," Energy Economics, Elsevier, vol. 102(C).
    19. Magkonis, Georgios & Tsouknidis, Dimitris A., 2017. "Dynamic spillover effects across petroleum spot and futures volatilities, trading volume and open interest," International Review of Financial Analysis, Elsevier, vol. 52(C), pages 104-118.
    20. Chor Foon Tang, 2015. "How Stable is the Savings-led Growth Hypothesis in Malaysia? The Bootstrap Simulation and Recursive Causality Tests," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 9(1), pages 1-17, February.

    More about this item

    Keywords

    Weather shock; spot prices; futures prices; smooth transition models; India;
    All these keywords.

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • Q10 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - General
    • E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cde:cdewps:219. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sanjeev Sharma (email available below). General contact details of provider: https://edirc.repec.org/data/cdudein.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.