IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login

Citations for "Assessing Forecast Performance in a Cointegrated System"

by Hoffman, Dennis L & Rasche, Robert H

For a complete description of this item, click here. For a RSS feed for citations of this item, click here.
as in new window

  1. Athanasopoulos, George & Guillén, Osmani Teixeira de Carvalho & Issler, João Victor & Athanasopoulos, George, 2009. "Model selection, estimation and forecasting in VAR models with short-run and long-run restrictions," Economics Working Papers (Ensaios Economicos da EPGE) 688, FGV/EPGE Escola Brasileira de Economia e Finanças, Getulio Vargas Foundation (Brazil).
  2. Dekker, Arie & Sen, Kunal & Young, Martin R., 2001. "Equity market linkages in the Asia Pacific region: A comparison of the orthogonalised and generalised VAR approaches," Global Finance Journal, Elsevier, vol. 12(1), pages 1-33.
  3. Sajjad Faraji Dizaji & Mohammad Reza Farzanegan, 2014. "Political Institutions and Government Spending Behavior in Iran," CESifo Working Paper Series 4620, CESifo Group Munich.
  4. Guillén, Osmani Teixeira de Carvalho & Hecq, Alain & Issler, João Victor & Saraiva, Diogo, 2013. "Forecasting multivariate time series under present-value-model short- and long-run co-movement restrictions," Economics Working Papers (Ensaios Economicos da EPGE) 742, FGV/EPGE Escola Brasileira de Economia e Finanças, Getulio Vargas Foundation (Brazil).
  5. Osmani Teixeira de Carvalho Guillén & Alain Hecq & João Victor Issler & Diogo Saraiva, 2013. "Time Series under Present-Value-Model Short- and Long-run Co-movement Restrictions," Working Papers Series 330, Central Bank of Brazil, Research Department.
  6. Lance J. Bachmeier & Norman R. Swanson, 2005. "Predicting Inflation: Does The Quantity Theory Help?," Economic Inquiry, Western Economic Association International, vol. 43(3), pages 570-585, July.
  7. Mohammad Reza Farzanegan, 2014. "Military Spending and Economic Growth: The Case of Iran," Defence and Peace Economics, Taylor & Francis Journals, vol. 25(3), pages 247-269, June.
  8. Richard Harrison & George Kapetanios & Tony Yates, 2004. "Forecasting with Measurement Errors in Dynamic Models," Working Papers 521, Queen Mary University of London, School of Economics and Finance.
  9. Osmani Teixeira de Carvalho Guillén & João Victor Issler & George Athanasopoulos, 2005. "Forecasting Accuracy and Estimation Uncertainty Using VAR Models with Short- and Long-Term Economic Restrictions: A Monte-Carlo Study," Monash Econometrics and Business Statistics Working Papers 15/05, Monash University, Department of Econometrics and Business Statistics.
  10. Kremer, Manfred, 1999. "Die Kapitalmarktzinsen in Deutschland und den USA: Wie eng ist der Zinsverbund? Eine Anwendung der multivariaten Kointegrationsanalyse," Discussion Paper Series 1: Economic Studies 1999,02, Deutsche Bundesbank, Research Centre.
  11. Judith A. Giles & Sadaf Mirza, 1999. "Some Pretesting Issues on Testing for Granger Noncausality," Econometrics Working Papers 9914, Department of Economics, University of Victoria.
  12. Farzanegan, Mohammad Reza & Markwardt, Gunther, 2009. "The effects of oil price shocks on the Iranian economy," Energy Economics, Elsevier, vol. 31(1), pages 134-151, January.
  13. Wagatha, Matthias, 2007. "Integration, Kointegration und die Langzeitprognose von Kreditausfallzyklen
    [Integration, Cointegration and Long-Horizont Forecasting of Credit-Default-Cycles]
    ," MPRA Paper 8602, University Library of Munich, Germany.
  14. Judith A. Clarke & Sadaf Mirza, 2003. "Some Finite Sample Results On Testing For Granger Noncausality," Econometrics Working Papers 0305, Department of Economics, University of Victoria.
  15. Neri, Marcelo Cortes & Soares, Wagner Lopes, 2008. "Turismo sustentável e alivio a pobreza: avaliação de impacto," Economics Working Papers (Ensaios Economicos da EPGE) 689, FGV/EPGE Escola Brasileira de Economia e Finanças, Getulio Vargas Foundation (Brazil).
  16. Atsuyuki Naka & David Tufte, 1997. "Examining impulse response functions in cointegrated systems," Applied Economics, Taylor & Francis Journals, vol. 29(12), pages 1593-1603.
  17. Thai-Ha Le & Youngho Chang, 2012. "Oil Price Shocks and Gold Returns," Economie Internationale, CEPII research center, issue 131, pages 71-104.
  18. Eitrheim, Oyvind & Husebo, Tore Anders & Nymoen, Ragnar, 1999. "Equilibrium-correction vs. differencing in macroeconometric forecasting," Economic Modelling, Elsevier, vol. 16(4), pages 515-544, December.
  19. Mohammad Reza Farzanegan & Mohammad Habibpour, 2014. "Direct Distribution of Rents and the Resource Curse in Iran: A Micro-econometric Analysis," MAGKS Papers on Economics 201425, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
  20. Wang, Yudong & Wu, Chongfeng & Yang, Li, 2014. "Oil price shocks and agricultural commodity prices," Energy Economics, Elsevier, vol. 44(C), pages 22-35.
  21. repec:fgv:epgewp:753 is not listed on IDEAS
  22. Levent, Korap, 2008. "Exchange rate determination of TL/US$: a co-integration approach," MPRA Paper 19659, University Library of Munich, Germany.
  23. Côrtes Neri, Marcelo, 2014. "Brazil's Middle Classes," Economics Working Papers (Ensaios Economicos da EPGE) 759, FGV/EPGE Escola Brasileira de Economia e Finanças, Getulio Vargas Foundation (Brazil).
  24. Roseline Nyakerario Misati & Esman Morekwa Nyamongo & Lucas Kamau Njoroge & Sheila Kaminchia, 2012. "Feasibility of inflation targeting in an emerging market: evidence from Kenya," Journal of Financial Economic Policy, Emerald Group Publishing, vol. 4(2), pages 146-159, June.
  25. Francis X. Diebold & Peter F. Christoffersen, 1997. "Cointegration and Long-Horizon Forecasting," IMF Working Papers 97/61, International Monetary Fund.
  26. Banu Simmons-Süer, 2013. "Immobilienpreise, Hypothekarkredite und Wohnbauinvestitionen," KOF Analysen, KOF Swiss Economic Institute, ETH Zurich, vol. 7(3), pages 119-131, September.
  27. Swanson, Norman R. & White, Halbert, 1997. "Forecasting economic time series using flexible versus fixed specification and linear versus nonlinear econometric models," International Journal of Forecasting, Elsevier, vol. 13(4), pages 439-461, December.
  28. Krishna, Kala & Ozyildirim, Ataman & Swanson, Norman R., 2003. "Trade, investment and growth: nexus, analysis and prognosis," Journal of Development Economics, Elsevier, vol. 70(2), pages 479-499, April.
  29. S. F. Dizaji & M. R. Farzanegan & A. Naghavi, 2015. "Political Institutions and Government Spending Behavior: Theory and Evidence from Iran," Working Papers wp986, Dipartimento Scienze Economiche, Universita' di Bologna.
  30. Wang, Zijun & Bessler, David A, 2002. "The Homogeneity Restriction and Forecasting Performance of VAR-Type Demand Systems: An Empirical Examination of US Meat Consumption," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 21(3), pages 193-206, April.
  31. Lunsford, Kurt G., 2015. "Forecasting residential investment in the United States," International Journal of Forecasting, Elsevier, vol. 31(2), pages 276-285.
  32. Park, Jungwook & Ratti, Ronald A., 2008. "Oil price shocks and stock markets in the U.S. and 13 European countries," Energy Economics, Elsevier, vol. 30(5), pages 2587-2608, September.
  33. Ruth, Karsten, 2008. "Macroeconomic forecasting in the EMU: Does disaggregate modeling improve forecast accuracy?," Journal of Policy Modeling, Elsevier, vol. 30(3), pages 417-429.
  34. Anderson, Richard G. & Hoffman, Dennis L. & Rasche, Robert H., 2002. "A vector error-correction forecasting model of the US economy," Journal of Macroeconomics, Elsevier, vol. 24(4), pages 569-598, December.
  35. Heather M Anderson & Farshid Vahid, 2010. "VARs, Cointegration and Common Cycle Restrictions," Monash Econometrics and Business Statistics Working Papers 14/10, Monash University, Department of Econometrics and Business Statistics.
  36. Maghyereh, A., 2004. "Oil Price Shocks and Emerging Stock Markets: A Generalized VAR Approach," International Journal of Applied Econometrics and Quantitative Studies, Euro-American Association of Economic Development, vol. 1(2), pages 27-40.
  37. Barabas, György & Gebhardt, Heinz & Münch, Heinz Josef & Schmidt, Christoph M. & Schmidt, Torsten & Breitung, Jörg, 2005. "Methoden mittelfristiger gesamtwirtschaftlicher Projektionen: Dienstleistungsvorhaben im Auftrag des Bundesministeriums für Wirtschaft und Arbeit, Projektnummer 02/05. Vorläufiger Endbericht," RWI Projektberichte, Rheinisch-Westfälisches Institut für Wirtschaftsforschung (RWI), number 69948.
  38. De Gooijer, Jan G. & Vidiella-i-Anguera, Antoni, 2004. "Forecasting threshold cointegrated systems," International Journal of Forecasting, Elsevier, vol. 20(2), pages 237-253.
  39. Dennis L. Hoffman & Robert H. Rasche, 1997. "STLS/US-VECM6.1: a vector error-correction forecasting model of the U. S. economy," Working Papers 1997-008, Federal Reserve Bank of St. Louis.
  40. Wang, Zijun & Bessler, David A., 2004. "Forecasting performance of multivariate time series models with full and reduced rank: an empirical examination," International Journal of Forecasting, Elsevier, vol. 20(4), pages 683-695.
  41. Ercio Muñoz S. & Mariel C. Siravegna, 2013. "¿Tiene un Impacto el Precio de las Materias Primas Sobre las Bolsas de América Latina?," Notas de Investigación Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 16(3), pages 102-118, December.
This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.