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Citations for "Small Sample Properties of Forecasts from Autoregressive Models under Structural Breaks"

by Allan Timmermann & M. Hashem Pesaran

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  1. Carriero, Andrea & Kapetanios, George & Marcellino, Massimiliano, 2009. "Forecasting Large Datasets with Bayesian Reduced Rank Multivariate Models," CEPR Discussion Papers 7446, C.E.P.R. Discussion Papers.
  2. Nyakabawo, Wendy & Miller, Stephen M. & Balcilar, Mehmet & Das, Sonali & Gupta, Rangan, 2015. "Temporal causality between house prices and output in the US: A bootstrap rolling-window approach," The North American Journal of Economics and Finance, Elsevier, vol. 33(C), pages 55-73.
  3. Barrera, Carlos, 2013. "El sistema de predicción desagregada: Una evaluación de las proyecciones de inflación 2006-2011," Working Papers 2013-009, Banco Central de Reserva del Perú.
  4. Geweke, J. & Joel Horowitz & Pesaran, M.H., 2006. "Econometrics: A Bird’s Eye View," Cambridge Working Papers in Economics 0655, Faculty of Economics, University of Cambridge.
  5. Florian Heinen & Philipp Sibbertsen & Robinson Kruse, 2009. "Forecasting long memory time series under a break in persistence," CREATES Research Papers 2009-53, Department of Economics and Business Economics, Aarhus University.
  6. A. Carriero & G. Kapetanios & M. Marcellino, 2008. "Forecasting Exchange Rates with a Large Bayesian VAR," Economics Working Papers ECO2008/33, European University Institute.
  7. Giorgio Canarella & Stephen M. Miller & Stephen K. Pollard, 2014. "Unemployment Rate Hysteresis and the Great Recession: Exploring the Metropolitan Evidence," Working Papers 1403, University of Nevada, Las Vegas , Department of Economics.
  8. Shahzad, Syed Jawad Hussain & Nor, Safwan Mohd & Hammoudeh, Shawkat & Shahbaz, Muhammad, 2016. "Directional and bidirectional causality between U.S. industry credit and stock markets and their determinants," MPRA Paper 74705, University Library of Munich, Germany, revised 20 Oct 2016.
  9. M. Hashem Pesaran & Andreas Pick & Allan Timmermann, 2009. "Variable Selection and Inference for Multi-period Forecasting Problems," CESifo Working Paper Series 2543, CESifo Group Munich.
  10. Andrea Carriero & George Kapetanios & Massimiliano Marcellino, 2010. "Forecasting Government Bond Yields with Large Bayesian VARs," Working Papers 662, Queen Mary University of London, School of Economics and Finance.
  11. Cai, Yifei, 2016. "货币供给数量、结构与经济增长—来自adl门限协整检验与时变格兰杰因果关系检验的证据
    [Quantity and Structure of Money Supply and Economic Growth— Evidence from ADL Test for Threshold Cointegration and Time-varying Granger Causality Relation
    ," MPRA Paper 73750, University Library of Munich, Germany.
  12. Hännikäinen, Jari, 2015. "Selection of an estimation window in the presence of data revisions and recent structural breaks," MPRA Paper 66759, University Library of Munich, Germany.
  13. Mehmet Balcilar & Rangan Gupta & Charl Jooste & Omid Ranjbar, 2015. "Characterising the South African Business Cycle: Is GDP Difference-Stationary or Trend-Stationary in a Markov-Switching Setup?," Working Papers 201529, University of Pretoria, Department of Economics.
  14. Chevillon, Guillaume, 2016. "Multistep forecasting in the presence of location shifts," International Journal of Forecasting, Elsevier, vol. 32(1), pages 121-137.
  15. Caio Almeida & Axel Simonsen & José Vicente, 2012. "Forecasting Bond Yields with Segmented Term Structure Models," Working Papers Series 288, Central Bank of Brazil, Research Department.
  16. Antoine Mandel & Amir Sani, 2016. "Learning Time-Varying Forecast Combinations," Documents de travail du Centre d'Economie de la Sorbonne 16036, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
  17. Goodness C. Aye & Mehmet Balcilar & Adel Bosch & Rangan Gupta, 2013. "Housing and the Business Cycle in South Africa," Working Papers 201323, University of Pretoria, Department of Economics.
  18. repec:agr:journl:v:3(604):y:2015:i:3(604):p:75-92 is not listed on IDEAS
  19. M Hashem Pesaran & Andreas Pick & Mikhail Pranovich, 2011. "Optimal Forecasts in the Presence of Structural Breaks," DNB Working Papers 327, Netherlands Central Bank, Research Department.
  20. Pesaran, M.H. & Pettenuzzo, D. & Timmermann, A., 2004. "‘Forecasting Time Series Subject to Multiple Structural Breaks’," Cambridge Working Papers in Economics 0433, Faculty of Economics, University of Cambridge.
  21. Menelaos Karanasos & Alexandros Paraskevopoulos & Faek Menla Ali & Michail Karoglou & Stavroula Yfanti, 2014. "Modelling Returns and Volatilities During Financial Crises: a Time Varying Coefficient Approach," Papers 1403.7179, arXiv.org.
  22. Aye, Goodness C., 2016. "Causality between Oil Price and South Africa's Food Price: Time Varying Approach - Relazione di causalità tra prezzo del petrolio e pr ezzo dei prodotti alimentari in Sud Africa: un approccio time var," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 69(3), pages 189-207.
  23. Goodness C. Aye & Mehmet Balcilar & Rangan Gupta, 2015. "International Stock Return Predictability: Is the Role of U.S. Time-Varying?," Working Papers 15-07, Eastern Mediterranean University, Department of Economics.
  24. Mehmet Balcilar & Rangan Gupta & Stephen M. Miller, 2012. "Housing and the Great Depression," Working papers 2012-47, University of Connecticut, Department of Economics.
  25. Haroon Mumtaz & Nitin Kumar, 2012. "An application of data-rich environment for policy analysis of the Indian economy," Joint Research Papers 2, Centre for Central Banking Studies, Bank of England.
  26. Mehmet Balcilar & Rangan Gupta & Nico Frederick Katzke, 2015. "Identifying Periods of US Housing Market Explosivity," Working Papers 15-03, Eastern Mediterranean University, Department of Economics.
  27. repec:wyi:journl:002213 is not listed on IDEAS
  28. Junsoo Lee & John A. List & Mark Strazicich, 2005. "Nonrenewable Resource Prices: Deterministic or Stochastic Trends?," NBER Working Papers 11487, National Bureau of Economic Research, Inc.
  29. Rossi, Barbara, 2013. "Advances in Forecasting under Instability," Handbook of Economic Forecasting, Elsevier.
  30. Brandon J. Bates & Mikkel Plagborg-Møller & James H. Stock & Mark W. Watson, . "Consistent factor estimation in dynamic factor models with structural instability," Working Paper 84631, Harvard University OpenScholar.
  31. Galvão, Ana Beatriz, 2013. "Changes in predictive ability with mixed frequency data," International Journal of Forecasting, Elsevier, vol. 29(3), pages 395-410.
  32. Ke Yang & Langnan Chen, 2014. "Realized Volatility Forecast: Structural Breaks, Long Memory, Asymmetry, and Day-of-the-Week Effect," International Review of Finance, International Review of Finance Ltd., vol. 14(3), pages 345-392, 09.
  33. Castle, Jennifer L. & Clements, Michael P. & Hendry, David F., 2013. "Forecasting by factors, by variables, by both or neither?," Journal of Econometrics, Elsevier, vol. 177(2), pages 305-319.
  34. Pesaran, M. Hashem & Pick, Andreas & Timmermann, Allan, 2011. "Variable selection, estimation and inference for multi-period forecasting problems," Journal of Econometrics, Elsevier, vol. 164(1), pages 173-187, September.
  35. Prasad S Bhattacharya & Dimitrios D Thomakos, 2011. "Improving forecasting performance by window and model averaging," Economics Series 2011_1, Deakin University, Faculty of Business and Law, School of Accounting, Economics and Finance.
  36. Chang, Ming-Jen & Su, Che-Yi, 2014. "The dynamic relationship between exchange rates and macroeconomic fundamentals: Evidence from Pacific Rim countries," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 30(C), pages 220-246.
  37. Liow, Kim Hiang, 2015. "Volatility spillover dynamics and relationship across G7 financial markets," The North American Journal of Economics and Finance, Elsevier, vol. 33(C), pages 328-365.
  38. Mehmood, Sultan, 2013. "Terrorism and the macroeconomy: Evidence from Pakistan," MPRA Paper 44546, University Library of Munich, Germany.
  39. Elena Andreou & Eric Ghysels & Constantinos Kourouyiannis, 2012. "Robust volatility forecasts in the presence of structural breaks," University of Cyprus Working Papers in Economics 08-2012, University of Cyprus Department of Economics.
  40. Yongchen Zhao, 2015. "Robustness of Forecast Combination in Unstable Environment: A Monte Carlo Study of Advanced Algorithms," Working Papers 2015-005, The George Washington University, Department of Economics, Research Program on Forecasting.
  41. Carriero, Andrea & Kapetanios, George & Marcellino, Massimiliano, 2012. "Forecasting government bond yields with large Bayesian vector autoregressions," Journal of Banking & Finance, Elsevier, vol. 36(7), pages 2026-2047.
  42. M. Hashem Pesaran, 2004. "General Diagnostic Tests for Cross Section Dependence in Panels," CESifo Working Paper Series 1229, CESifo Group Munich.
  43. Martin Kalthaus, 2016. "Knowledge recombination along the technology life cycle," Jena Economic Research Papers 2016-012, Friedrich-Schiller-University Jena.
  44. repec:ipg:wpaper:2014-476 is not listed on IDEAS
  45. Jennifer Castle & David Hendry, 2012. "Forecasting by factors, by variables, or both?," Economics Series Working Papers 600, University of Oxford, Department of Economics.
  46. Xiao-lin Li & Mehmet Balcilar & Rangan Gupta & Tsangyao Chang, 2016. "The Causal Relationship Between Economic Policy Uncertainty and Stock Returns in China and India: Evidence from a Bootstrap Rolling Window Approach," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 52(3), pages 674-689, March.
  47. David E. Rapach & Jack K. Strauss, 2008. "Structural breaks and GARCH models of exchange rate volatility," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(1), pages 65-90.
  48. Marco Aiolfi & Carlos Capistrán & Allan Timmermann, 2010. "Forecast Combinations," Working Papers 2010-04, Banco de México.
  49. Ming-Hsien YANG & Chih-She WU, 2015. "Revisit Export and GDP Nexus in China and Taiwan: A Rolling Window Granger Causality Test," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(3(604), A), pages 75-92, Autumn.
  50. Caterina Forti Grazzini & Massimo Guidolin, 2013. "Forecasting yield spreads under crisis-induced multiple breakpoints," Applied Economics Letters, Taylor & Francis Journals, vol. 20(18), pages 1656-1664, December.
  51. Antonakakis, Nikolaos & Dragouni, Mina & Filis, George, 2015. "How strong is the linkage between tourism and economic growth in Europe?," Economic Modelling, Elsevier, vol. 44(C), pages 142-155.
  52. Chevillon, Guillaume, 2009. "Multi-step forecasting in emerging economies: An investigation of the South African GDP," International Journal of Forecasting, Elsevier, vol. 25(3), pages 602-628, July.
  53. Heinen, Florian & Willert, Juliane, 2011. "Monitoring a change in persistence of a long range dependent time series," Hannover Economic Papers (HEP) dp-479, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
  54. Balcilar, Mehmet & Ozdemir, Zeynel Abidin & Arslanturk, Yalcin, 2010. "Economic growth and energy consumption causal nexus viewed through a bootstrap rolling window," Energy Economics, Elsevier, vol. 32(6), pages 1398-1410, November.
  55. WANG, Shin-Huei & BAUWENS, Luc & HSIAO, Cheng, 2012. "Forecasting long memory processes subject to structural breaks," CORE Discussion Papers 2012048, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  56. Liu, Guanchun & He, Lei & Yue, Yiding & Wang, Jiying, 2014. "The linkage between insurance activity and banking credit: Some evidence from dynamic analysis," The North American Journal of Economics and Finance, Elsevier, vol. 29(C), pages 239-265.
  57. Cai, Yifei, 2016. "短期资本流动、经济政策不确定性与恐慌指数—基于时变分析框架下的研究
    [Short-term Capital Flow, Economic Policy Uncertainty and VIX—Evidence from a Time-varying Analysis Framework]
    ," MPRA Paper 73213, University Library of Munich, Germany.
  58. Ke Yang & Langnan Chen & Fengping Tian, 2015. "Realized Volatility Forecast of Stock Index Under Structural Breaks," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 34(1), pages 57-82, 01.
  59. Ahmed, Shamim & Liu, Xiaoquan & Valente, Giorgio, 2016. "Can currency-based risk factors help forecast exchange rates?," International Journal of Forecasting, Elsevier, vol. 32(1), pages 75-97.
  60. Banerjee, Anindya & Urga, Giovanni, 2005. "Modelling structural breaks, long memory and stock market volatility: an overview," Journal of Econometrics, Elsevier, vol. 129(1-2), pages 1-34.
  61. Guillaume Chevillon, 2006. "Multi-step Forecasting in Unstable Economies: Robustness Issues in the Presence of Location Shifts," Economics Series Working Papers 257, University of Oxford, Department of Economics.
  62. Liu, Guan-Chun & Lee, Chien-Chiang & Lee, Chi-Chuan, 2016. "The nexus between insurance activity and economic growth: A bootstrap rolling window approach," International Review of Economics & Finance, Elsevier, vol. 43(C), pages 299-319.
  63. Wang, Cindy Shin-Huei & Bauwens, Luc & Hsiao, Cheng, 2013. "Forecasting a long memory process subject to structural breaks," Journal of Econometrics, Elsevier, vol. 177(2), pages 171-184.
  64. Hännikäinen, Jari, 2014. "Multi-step forecasting in the presence of breaks," MPRA Paper 55816, University Library of Munich, Germany.
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