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Hedging Positions, Basis, and Futures Risk Premium: A Disaggregated Data Analysis on US Wheat Markets

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  • Hoang, Nam
  • Grieb, Terrance

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  • Hoang, Nam & Grieb, Terrance, 2018. "Hedging Positions, Basis, and Futures Risk Premium: A Disaggregated Data Analysis on US Wheat Markets," 2018 Annual Meeting, August 5-7, Washington, D.C. 273799, Agricultural and Applied Economics Association.
    • Handle: RePEc:ags:aaea18:273799
    DOI: 10.22004/ag.econ.273799
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    1. Litterman, Robert B, 1986. "Forecasting with Bayesian Vector Autoregressions-Five Years of Experience," Journal of Business & Economic Statistics, American Statistical Association, vol. 4(1), pages 25-38, January.
    2. Liu, Peng & Tang, Ke, 2011. "The stochastic behavior of commodity prices with heteroskedasticity in the convenience yield," Journal of Empirical Finance, Elsevier, vol. 18(2), pages 211-224, March.
    3. Koop, Gary & Korobilis, Dimitris, 2010. "Bayesian Multivariate Time Series Methods for Empirical Macroeconomics," Foundations and Trends(R) in Econometrics, now publishers, vol. 3(4), pages 267-358, July.
    4. Ana I. Sanjuán-López & Philip J. Dawson, 2017. "Volatility Effects of Index Trading and Spillovers on US Agricultural Futures Markets: A Multivariate GARCH Approach," Journal of Agricultural Economics, Wiley Blackwell, vol. 68(3), pages 822-838, September.
    5. Kilian,Lutz & Lütkepohl,Helmut, 2018. "Structural Vector Autoregressive Analysis," Cambridge Books, Cambridge University Press, number 9781107196575.
    6. Uhlig, Harald, 2005. "What are the effects of monetary policy on output? Results from an agnostic identification procedure," Journal of Monetary Economics, Elsevier, vol. 52(2), pages 381-419, March.
    7. Hong, Harrison & Yogo, Motohiro, 2012. "What does futures market interest tell us about the macroeconomy and asset prices?," Journal of Financial Economics, Elsevier, vol. 105(3), pages 473-490.
    8. J. Frank & P. Garcia, 2009. "Time-varying risk premium: further evidence in agricultural futures markets," Applied Economics, Taylor & Francis Journals, vol. 41(6), pages 715-725.
    9. Gary B. Gorton & Fumio Hayashi & K. Geert Rouwenhorst, 2013. "The Fundamentals of Commodity Futures Returns," Review of Finance, European Finance Association, vol. 17(1), pages 35-105.
    10. Litterman, Robert, 1986. "Forecasting with Bayesian vector autoregressions -- Five years of experience : Robert B. Litterman, Journal of Business and Economic Statistics 4 (1986) 25-38," International Journal of Forecasting, Elsevier, vol. 2(4), pages 497-498.
    11. Renée Fry & Adrian Pagan, 2011. "Sign Restrictions in Structural Vector Autoregressions: A Critical Review," Journal of Economic Literature, American Economic Association, vol. 49(4), pages 938-960, December.
    12. Christopher L. Gilbert & Simone Pfuderer, 2014. "The Role of Index Trading in Price Formation in the Grains and Oilseeds Markets," Journal of Agricultural Economics, Wiley Blackwell, vol. 65(2), pages 303-322, June.
    13. Serena Ng & Pierre Perron, 2001. "LAG Length Selection and the Construction of Unit Root Tests with Good Size and Power," Econometrica, Econometric Society, vol. 69(6), pages 1519-1554, November.
    14. Acharya, Viral V. & Lochstoer, Lars A. & Ramadorai, Tarun, 2013. "Limits to arbitrage and hedging: Evidence from commodity markets," Journal of Financial Economics, Elsevier, vol. 109(2), pages 441-465.
    15. Helmut Lütkepohl, 2005. "New Introduction to Multiple Time Series Analysis," Springer Books, Springer, number 978-3-540-27752-1, November.
    16. Henry L. Bryant & David A. Bessler & Michael S. Haigh, 2006. "Causality in futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 26(11), pages 1039-1057, November.
    17. Elliott, Graham & Rothenberg, Thomas J & Stock, James H, 1996. "Efficient Tests for an Autoregressive Unit Root," Econometrica, Econometric Society, vol. 64(4), pages 813-836, July.
    18. Marta Szymanowska & Frans Roon & Theo Nijman & Rob Goorbergh, 2014. "An Anatomy of Commodity Futures Risk Premia," Journal of Finance, American Finance Association, vol. 69(1), pages 453-482, February.
    19. Bohl, Martin T. & Stephan, Patrick M., 2013. "Does Futures Speculation Destabilize Spot Prices? New Evidence for Commodity Markets," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 45(4), pages 595-616, November.
    20. Lawrence J. Christiano & Martin Eichenbaum & Charles L. Evans, 2005. "Nominal Rigidities and the Dynamic Effects of a Shock to Monetary Policy," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 1-45, February.
    21. Granger, C. W. J. & Newbold, P., 1974. "Spurious regressions in econometrics," Journal of Econometrics, Elsevier, vol. 2(2), pages 111-120, July.
    22. David N. DeJong & Chetan Dave, 2011. "Structural Macroeconometrics Second Edition," Economics Books, Princeton University Press, edition 1, number 9622.
    23. Lutz Kilian, 2009. "Not All Oil Price Shocks Are Alike: Disentangling Demand and Supply Shocks in the Crude Oil Market," American Economic Review, American Economic Association, vol. 99(3), pages 1053-1069, June.
    24. Bohl, Martin T. & Stephan, Patrick M., 2013. "Does Futures Speculation Destabilize Spot Prices? New Evidence for Commodity Markets," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 45(4), pages 1-21, November.
    25. Yang, Fan, 2013. "Investment shocks and the commodity basis spread," Journal of Financial Economics, Elsevier, vol. 110(1), pages 164-184.
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