In the Nick of Time: A Heteroskedastic SVAR Model and Its Application to the Crude Oil Futures Market
Author
Abstract
Suggested Citation
DOI: 10.26481/umagsb.2017019
Download full text from publisher
References listed on IDEAS
- Markku Lanne & Helmut Lütkepohl, 2008.
"Identifying Monetary Policy Shocks via Changes in Volatility,"
Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(6), pages 1131-1149, September.
- Markku Lanne & Helmut L‹Tkepohl, 2008. "Identifying Monetary Policy Shocks via Changes in Volatility," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(6), pages 1131-1149, September.
- Markku Lanne & Helmut Lütkepohl, 2006. "Identifying Monetary Policy Shocks via Changes in Volatility," CESifo Working Paper Series 1744, CESifo.
- Markku Lanne, Helmut Luetkepohl, 2006. "Identifying Monetary Policy Shocks via Changes in Volatility," Economics Working Papers ECO2006/23, European University Institute.
- Julien Chevallier & Benoît Sévi, 2013.
"A Fear Index to Predict Oil Futures Returns,"
Working Papers
2013.62, Fondazione Eni Enrico Mattei.
- Julien Chevallier & Benoit Sevi, 2014. "A fear index to predict oil futures returns," Working Papers 2014-333, Department of Research, Ipag Business School.
- Julien, Chevallier & Sévi, Benoît, 2013. "A Fear Index to Predict Oil Futures Returns," Energy: Resources and Markets 156489, Fondazione Eni Enrico Mattei (FEEM).
- Julien Chevallier & Benoît Sévi, 2014. "A fear index to predict oil futures returns," Post-Print hal-01463111, HAL.
- 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.
- Renee Fry & Adrian Pagan, 2010. "Sign Restrictions in Structural Vector Autoregressions: A Critical Review," NCER Working Paper Series 57, National Centre for Econometric Research.
- Renee Fry & Adrian Pagan, 2010. "Sign Restrictions in Structural Vector Autoregressions: A Critical Review," CAMA Working Papers 2010-22, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Beetsma, Roel & Giuliodori, Massimo & Klaassen, Franc, 2009. "Temporal aggregation and SVAR identification, with an application to fiscal policy," Economics Letters, Elsevier, vol. 105(3), pages 253-255, December.
- Michael Dotsey, 1998. "The predictive content of the interest rate term spread for future economic growth," Economic Quarterly, Federal Reserve Bank of Richmond, issue Sum, pages 31-51.
- Lanne, Markku & Lütkepohl, Helmut, 2010.
"Structural Vector Autoregressions With Nonnormal Residuals,"
Journal of Business & Economic Statistics, American Statistical Association, vol. 28(1), pages 159-168.
- Markku Lanne & Helmut Luetkepohl, 2005. "Structural Vector Autoregressions with Nonnormal Residuals," Economics Working Papers ECO2005/25, European University Institute.
- Markku Lanne & Helmut Lütkepohl, 2006. "Structural Vector Autoregressions with Nonnormal Residuals," CESifo Working Paper Series 1651, CESifo.
- Alessio Anzuini & Patrizio Pagano & Massimiliano Pisani, 2015.
"Macroeconomic Effects of Precautionary Demand for Oil,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(6), pages 968-986, September.
- Alessio Anzuini & Patrizio Pagano & Massimiliano Pisani, 2013. "Macroeconomic effects of precautionary demand for oil," Temi di discussione (Economic working papers) 918, Bank of Italy, Economic Research and International Relations Area.
- Luciana Juvenal & Ivan Petrella, 2015.
"Speculation in the Oil Market,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(4), pages 621-649, June.
- Luciana Juvenal & Ivan Petrella, 2012. "Speculation in the oil market," Economic Synopses, Federal Reserve Bank of St. Louis.
- Luciana Juvenal & Ivan Petrella, 2011. "Speculation in the oil market," Working Papers 2011-027, Federal Reserve Bank of St. Louis.
- Petrella, Ivan & Juvenal, Luciana, 2014. "Speculation in the Oil Market," CEPR Discussion Papers 9808, C.E.P.R. Discussion Papers.
- Robert S. Pindyck, 1994.
"Inventories and the Short-Run Dynamics of Commodity Prices,"
RAND Journal of Economics, The RAND Corporation, vol. 25(1), pages 141-159, Spring.
- Robert S. Pindyck, 1990. "Inventories and the Short-Run Dynamics of Commodity Prices," NBER Working Papers 3295, National Bureau of Economic Research, Inc.
- Pindyck, Robert S., 1990. "Inventories and the short-run dynamics of commodity prices," Working papers 3133-90., Massachusetts Institute of Technology (MIT), Sloan School of Management.
- Karel Mertens & Morten O. Ravn, 2013.
"The Dynamic Effects of Personal and Corporate Income Tax Changes in the United States,"
American Economic Review, American Economic Association, vol. 103(4), pages 1212-1247, June.
- Ravn, Morten & Mertens, Karel, 2011. "The Dynamic Effects of Personal and Corporate Income Tax Changes in the United States," CEPR Discussion Papers 8554, C.E.P.R. Discussion Papers.
- Morten Ravn & Karel Mertens, 2012. "The Dynamic Effects of Personal and Corporate Income Tax Changes in the United States," 2012 Meeting Papers 638, Society for Economic Dynamics.
- Chow, Gregory C & Lin, An-loh, 1971.
"Best Linear Unbiased Interpolation, Distribution, and Extrapolation of Time Series by Related Series,"
The Review of Economics and Statistics, MIT Press, vol. 53(4), pages 372-375, November.
- Tom Doan, "undated". "CHOWLIN: RATS procedure to distribute a series to a higher frequency using related series," Statistical Software Components RTS00036, Boston College Department of Economics.
- Tom Doan, "undated". "DISAGGREGATE: RATS procedure to implement general disaggregation (interpolation/distribution) procedure," Statistical Software Components RTS00050, Boston College Department of Economics.
- Lanne, Markku & Lütkepohl, Helmut & Maciejowska, Katarzyna, 2010.
"Structural vector autoregressions with Markov switching,"
Journal of Economic Dynamics and Control, Elsevier, vol. 34(2), pages 121-131, February.
- Markku Lanne & Helmut Luetkepohl & Katarzyna Maciejowska, 2009. "Structural Vector Autoregressions with Markov Switching," Economics Working Papers ECO2009/06, European University Institute.
- James D. Hamilton & Jing Cynthia Wu, 2015.
"Effects Of Index‐Fund Investing On Commodity Futures Prices,"
International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 56, pages 187-205, February.
- James D. Hamilton & Jing Cynthia Wu, 2014. "Effects of Index-Fund Investing on Commodity Futures Prices," NBER Working Papers 19892, National Bureau of Economic Research, Inc.
- repec:dau:papers:123456789/11714 is not listed on IDEAS
- 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.
- Gary B. Gorton & Fumio Hayashi & K. Geert Rouwenhorst, 2007. "The Fundamentals of Commodity Futures Returns," NBER Working Papers 13249, National Bureau of Economic Research, Inc.
- Gary Gorton & Fumio Hayashi & K. Rouwenhorst, 2007. "The Fundamentals of Commodity Futures Returns," Yale School of Management Working Papers amz2605, Yale School of Management, revised 01 Oct 2008.
- Sari, Ramazan & Soytas, Ugur & Hacihasanoglu, Erk, 2011. "Do global risk perceptions influence world oil prices?," Energy Economics, Elsevier, vol. 33(3), pages 515-524, May.
- Irwin, Scott H. & Sanders, Dwight R., 2012. "Testing the Masters Hypothesis in commodity futures markets," Energy Economics, Elsevier, vol. 34(1), pages 256-269.
- Kenneth J. Singleton, 2014. "Investor Flows and the 2008 Boom/Bust in Oil Prices," Management Science, INFORMS, vol. 60(2), pages 300-318, February.
- Roberto Rigobon, 2003. "Identification Through Heteroskedasticity," The Review of Economics and Statistics, MIT Press, vol. 85(4), pages 777-792, November.
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.- Stock, J.H. & Watson, M.W., 2016. "Dynamic Factor Models, Factor-Augmented Vector Autoregressions, and Structural Vector Autoregressions in Macroeconomics," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 415-525, Elsevier.
- Lanne, Markku & Meitz, Mika & Saikkonen, Pentti, 2017.
"Identification and estimation of non-Gaussian structural vector autoregressions,"
Journal of Econometrics, Elsevier, vol. 196(2), pages 288-304.
- Markku Lanne & Mika Meitz & Pentti Saikkonen, 2015. "Identification and estimation of non-Gaussian structural vector autoregressions," CREATES Research Papers 2015-16, Department of Economics and Business Economics, Aarhus University.
- Emanuele Bacchiocchi & Efrem Castelnuovo & Luca Fanelli, 2014.
"Gimme a break! Identification and estimation of the macroeconomic effects of monetary policy shocks in the U.S,"
"Marco Fanno" Working Papers
0181, Dipartimento di Scienze Economiche "Marco Fanno".
- Emanuele Bacchiocchi & Efrem Castelnuovo & Luca Fanelli, 2016. "Gimme a Break! Identification and Estimation of the Macroeconomic Effects of Monetary Policy Shocks in the U.S," Melbourne Institute Working Paper Series wp2016n31, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
- Dominik Bertsche & Robin Braun, 2022.
"Identification of Structural Vector Autoregressions by Stochastic Volatility,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(1), pages 328-341, January.
- Dominik Bertsche & Robin Braun, 2017. "Identification of Structural Vector Autoregressions by Stochastic Volatility," Working Paper Series of the Department of Economics, University of Konstanz 2017-11, Department of Economics, University of Konstanz.
- Dominik Bertsche & Robin Braun, 2018. "Identification of Structural Vector Autoregressions by Stochastic Volatility," Working Paper Series of the Department of Economics, University of Konstanz 2018-03, Department of Economics, University of Konstanz.
- Bertsche, Dominik & Braun, Robin, 2018. "Identification of Structural Vector Autoregressions by Stochastic Volatility," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181631, Verein für Socialpolitik / German Economic Association.
- Bertsche, Dominik & Braun, Robin, 2020. "Identification of structural vector autoregressions by stochastic volatility," Bank of England working papers 869, Bank of England.
- Karamysheva, Madina & Skrobotov, Anton, 2022. "Do we reject restrictions identifying fiscal shocks? identification based on non-Gaussian innovations," Journal of Economic Dynamics and Control, Elsevier, vol. 138(C).
- Braun, Robin, 2021. "The importance of supply and demand for oil prices: evidence from non-Gaussianity," Bank of England working papers 957, Bank of England.
- Dobromił Serwa & Piotr Wdowiński, 2017. "Modeling Macro-Financial Linkages: Combined Impulse Response Functions in SVAR Models," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 9(4), pages 323-357, December.
- Dmitry Kulikov & Aleksei Netsunajev, 2016. "Identifying Shocks in Structural VAR models via heteroskedasticity: a Bayesian approach," Bank of Estonia Working Papers wp2015-8, Bank of Estonia, revised 19 Feb 2016.
- Helmut Herwartz & Martin Plödt, 2016. "Simulation Evidence on Theory-based and Statistical Identification under Volatility Breaks," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(1), pages 94-112, February.
- Lutz Kilian, 2013.
"Structural vector autoregressions,"
Chapters, in: Nigar Hashimzade & Michael A. Thornton (ed.), Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 22, pages 515-554,
Edward Elgar Publishing.
- Kilian, Lutz, 2011. "Structural Vector Autoregressions," CEPR Discussion Papers 8515, C.E.P.R. Discussion Papers.
- Herwartz, Helmut & Rohloff, Hannes & Wang, Shu, 2020. "Proxy SVAR identification of monetary policy shocks: MonteCarlo evidence and insights for the US," University of Göttingen Working Papers in Economics 404, University of Goettingen, Department of Economics.
- Helmut Lütkepohl & Aleksei NetŠunajev, 2014.
"Disentangling Demand And Supply Shocks In The Crude Oil Market: How To Check Sign Restrictions In Structural Vars,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(3), pages 479-496, April.
- Helmut Lütkepohl & Aleksei Netsunajev, 2012. "Disentangling Demand and Supply Shocks in the Crude Oil Market: How to Check Sign Restrictions in Structural VARs," Discussion Papers of DIW Berlin 1195, DIW Berlin, German Institute for Economic Research.
- Herwartz, Helmut, 2014. "Structural analysis with independent innovations," University of Göttingen Working Papers in Economics 208, University of Goettingen, Department of Economics.
- Bierbaumer, Daniel & Rieth, Malte & Velinov, Anton, 2021. "The state-dependent trading behavior of banks in the oil futures market," Journal of Economic Behavior & Organization, Elsevier, vol. 191(C), pages 1011-1024.
- Klieber, Karin, 2024. "Non-linear dimension reduction in factor-augmented vector autoregressions," Journal of Economic Dynamics and Control, Elsevier, vol. 159(C).
- Helmut Herwartz & Alexander Lange & Simone Maxand, 2022. "Data‐driven identification in SVARs—When and how can statistical characteristics be used to unravel causal relationships?," Economic Inquiry, Western Economic Association International, vol. 60(2), pages 668-693, April.
- Emanuele BACCHIOCCHI & Luca FANELLI, 2012. "Identification in structural vector autoregressive models with structural changes," Departmental Working Papers 2012-16, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
- Helmut Lütkepohl & Thore Schlaak, 2018.
"Choosing Between Different Time‐Varying Volatility Models for Structural Vector Autoregressive Analysis,"
Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 80(4), pages 715-735, August.
- Lütkepohl, Helmut & Schlaak, Thore, 2018. "Choosing Between Different Time-Varying Volatility Models for Structural Vector Autoregressive Analysis," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, issue 4, pages 715-735.
- Helmut Lütkepohl & Thore Schlaak, 2017. "Choosing between Different Time-Varying Volatility Models for Structural Vector Autoregressive Analysis," Discussion Papers of DIW Berlin 1672, DIW Berlin, German Institute for Economic Research.
- Herwartz, Helmut & Lange, Alexander & Maxand, Simone, 2019. "Statistical identification in SVARs - Monte Carlo experiments and a comparative assessment of the role of economic uncertainties for the US business cycle," University of Göttingen Working Papers in Economics 375, University of Goettingen, Department of Economics.
- Demetrescu, Matei & Salish, Nazarii, 2024. "(Structural) VAR models with ignored changes in mean and volatility," International Journal of Forecasting, Elsevier, vol. 40(2), pages 840-854.
More about this item
JEL classification:
- G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
- Q02 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Commodity Market
NEP fields
This paper has been announced in the following NEP Reports:- NEP-ECM-2017-09-03 (Econometrics)
- NEP-ORE-2017-09-03 (Operations Research)
Statistics
Access and download statisticsCorrections
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:unm:umagsb:2017019. 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: Andrea Willems or Leonne Portz (email available below). General contact details of provider: https://edirc.repec.org/data/meteonl.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.