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Citations for "A Simple, Non-Parametric Test Of Predictive Performance"

by Pesaran, M.H. & Timmermann, A.

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  1. Lahiri, Kajal & Wang, J. George, 2013. "Evaluating probability forecasts for GDP declines using alternative methodologies," International Journal of Forecasting, Elsevier, vol. 29(1), pages 175-190.
  2. Vogl, Konstantin & Maltritz, Dominik & Huschens, Stefan & Karmann, Alexander, 2006. "Country Default Probabilities: Assessing and Backtesting," Dresden Discussion Paper Series in Economics 12/06, Dresden University of Technology, Faculty of Business and Economics, Department of Economics.
  3. Robert A. Amano & Simon van Norden, 1995. "Oil Prices and the Rise and Fall of the U.S. Real Exchange Rate," International Finance 9502001, EconWPA.
  4. Massacci, D., 2007. "Identification and Estimation in an Incoherent Model of Contagion," Cambridge Working Papers in Economics 0744, Faculty of Economics, University of Cambridge.
  5. Anusha, . "Evaluating reliability of some symmetric and asymmetric univariate filters," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2015-030, Indira Gandhi Institute of Development Research, Mumbai, India.
  6. Marcos Álvarez-Díaz & Alberto Álvarez, 2002. "Predicción No-Lineal De Tipos De Cambio: Algoritmos Genéticos, Redes Neuronales Y Fusión De Datos," Working Papers 0205, Universidade de Vigo, Departamento de Economía Aplicada.
  7. Hartmann, Daniel & Kempa, Bernd & Pierdzioch, Christian, 2006. "Economic and Financial Crises and the Predictability of U.S. Stock Returns," MPRA Paper 561, University Library of Munich, Germany.
  8. Oliver Blaskowitz & Helmut Herwartz, 2009. "On economic evaluation of directional forecasts," SFB 649 Discussion Papers SFB649DP2009-052, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
  9. McAdam, Peter & McNelis, Paul, 2005. "Forecasting inflation with thick models and neural networks," Economic Modelling, Elsevier, vol. 22(5), pages 848-867, September.
  10. Michael P. Clements & Ana Beatriz Galvao, 2009. "Forecasting US output growth using leading indicators: an appraisal using MIDAS models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(7), pages 1187-1206.
  11. Cooray, Arusha. & Wickremasinghe, Guneratne., 2007. "The efficiency of emerging stock markets: empirical evidence from the south asian region," Journal of Developing Areas, Tennessee State University, College of Business, vol. 41(1), pages 171-183, September.
  12. Siklos, Pierre L., 2013. "Sources of disagreement in inflation forecasts: An international empirical investigation," Journal of International Economics, Elsevier, vol. 90(1), pages 218-231.
  13. Lahiri, Kajal & Yang, Liu, 2013. "Forecasting Binary Outcomes," Handbook of Economic Forecasting, Elsevier.
  14. G. Boero & E. Marrocu, 2000. "La performance di modelli non lineari per i tassi di cambio: un'applicazione con dati a diversa frequenza," Working Paper CRENoS 200014, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
  15. Preminger, Arie & Franck, Raphael, 2007. "Forecasting exchange rates: A robust regression approach," International Journal of Forecasting, Elsevier, vol. 23(1), pages 71-84.
  16. Murat Midilic, 2016. "Estimation Of Star-Garch Models With Iteratively Weighted Least Squares," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 16/918, Ghent University, Faculty of Economics and Business Administration.
  17. Anthony Garratt & Shaun P Vahey, 2005. "UK Real-Time Macro Data Characteristics," Birkbeck Working Papers in Economics and Finance 0502, Birkbeck, Department of Economics, Mathematics & Statistics.
  18. Fernandez, Viviana, 2016. "Futures markets and fundamentals of base metals," International Review of Financial Analysis, Elsevier, vol. 45(C), pages 215-229.
  19. Fernandez-Rodriguez, Fernando & Sosvilla-Rivero, Simon & Andrada-Felix, Julian, 1999. "Exchange-rate forecasts with simultaneous nearest-neighbour methods: evidence from the EMS," International Journal of Forecasting, Elsevier, vol. 15(4), pages 383-392, October.
  20. Bekiros, Stelios D., 2013. "Irrational fads, short-term memory emulation, and asset predictability," Review of Financial Economics, Elsevier, vol. 22(4), pages 213-219.
  21. Dube, Smile, 2016. "Exchange Rate Pass-Through (ERPT) and Inflation-Targeting (IT): Evidence from South Africa - Exchange rate pass-through and inflation targeting: evidenze dal Sud Africa," Economia Internazionale / International Economics, Camera di Commercio di Genova, vol. 69(2), pages 119-148.
  22. Qi, Min & Wu, Yangru, 2003. "Nonlinear prediction of exchange rates with monetary fundamentals," Journal of Empirical Finance, Elsevier, vol. 10(5), pages 623-640, December.
  23. Marco Aiolfi & Carlo Ambrogio Favero, . "Model Uncertainty, Thick Modelling and the predictability of Stock Returns," Working Papers 221, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
  24. Odile Chagny & Matthieu Lemoine, 2004. "An estimation of the Euro Area potential output with a semi-structural multivariate Hodrick-Prescott filter," Working Papers hal-00972840, HAL.
  25. Baghestani, Hamid & Khallaf, Ashraf, 2012. "Predictions of growth in U.S. corporate profits: Asymmetric vs. symmetric loss," International Review of Economics & Finance, Elsevier, vol. 22(1), pages 222-229.
  26. Tsuchiya, Yoichi, 2016. "Directional analysis of fiscal sustainability: Revisiting Domar's debt sustainability condition," International Review of Economics & Finance, Elsevier, vol. 41(C), pages 189-201.
  27. Granger, C.W.J. & Pesaran, M. H., 1999. "Economic and Statistical Measures of Forecast Accuracy," Cambridge Working Papers in Economics 9910, Faculty of Economics, University of Cambridge.
  28. Anthony Garratt & Gary Koop & Shaun P. Vahey, 2006. "Forecasting Substantial Data Revisions in the Presence of Model Uncertainty," Reserve Bank of New Zealand Discussion Paper Series DP2006/02, Reserve Bank of New Zealand.
  29. Tang, Ling & Yu, Lean & Wang, Shuai & Li, Jianping & Wang, Shouyang, 2012. "A novel hybrid ensemble learning paradigm for nuclear energy consumption forecasting," Applied Energy, Elsevier, vol. 93(C), pages 432-443.
  30. N Aslanidis & D R Osborn & M Sensier, 2003. "Explaining movements in UK stock prices: How important is the US market?," Centre for Growth and Business Cycle Research Discussion Paper Series 27, Economics, The Univeristy of Manchester.
  31. Harding, Don & Pagan, Adrian, 2006. "Synchronization of cycles," Journal of Econometrics, Elsevier, vol. 132(1), pages 59-79, May.
  32. Ca' Zorzi, Michele & Kolasa, Marcin & Rubaszek, Michał, 2016. "Exchange rate forecasting with DSGE models," Working Paper Series 1905, European Central Bank.
  33. Pierdzioch, Christian & Risse, Marian & Rohloff, Sebastian, 2014. "The international business cycle and gold-price fluctuations," The Quarterly Review of Economics and Finance, Elsevier, vol. 54(2), pages 292-305.
  34. Fabio Trojani & Francesco Audrino, 2006. "Estimating and predicting multivariate volatility thresholds in global stock markets," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(3), pages 345-369.
  35. Odile Chagny & Matthieu Lemoine, 2004. "An estimation of the euro area potential output with a semi-structural multivariate Hodrick-Prescott filter," Documents de Travail de l'OFCE 2004-14, Observatoire Francais des Conjonctures Economiques (OFCE).
  36. Krkoska, Libor & Teksoz, Utku, 2009. "How reliable are forecasts of GDP growth and inflation for countries with limited coverage?," Economic Systems, Elsevier, vol. 33(4), pages 376-388, December.
  37. Pesaran, H.M. & Timmermann, A., 2003. "How Costly is it to Ignore Breaks when Forecasting the Direction of a Time Series?," Cambridge Working Papers in Economics 0306, Faculty of Economics, University of Cambridge.
  38. Baltagi, Badi H., 2013. "Panel Data Forecasting," Handbook of Economic Forecasting, Elsevier.
  39. José Antonio Murillo Garza & Paula Sánchez Romeu, 2012. "Testing the Predictive Power of Mexican Consumers' Inflation Expectations," Working Papers 2012-13, Banco de México.
  40. Parisi, Antonino & Parisi, Franco & Díaz, David, 2008. "Forecasting gold price changes: Rolling and recursive neural network models," Journal of Multinational Financial Management, Elsevier, vol. 18(5), pages 477-487, December.
  41. Hristos Doucouliagos, 2003. "Price Exhaustion and Number Preference: Time and Price Confluence in Australian Stock Prices," Economics Series 2003_06, Deakin University, Faculty of Business and Law, School of Accounting, Economics and Finance.
  42. Pönkä, Harri, 2014. "Predicting the direction of US stock markets using industry returns," MPRA Paper 62942, University Library of Munich, Germany.
  43. Ana-Maria Fuertes & Elena Kalotychou, 2004. "Forecasting sovereign default using panel models: A comparative analysis," Computing in Economics and Finance 2004 228, Society for Computational Economics.
  44. Fuertes, Ana-Maria & Kalotychou, Elena, 2006. "Early warning systems for sovereign debt crises: The role of heterogeneity," Computational Statistics & Data Analysis, Elsevier, vol. 51(2), pages 1420-1441, November.
  45. Choi, Woon Gyu, 1999. "Estimating the Discount Rate Policy Reaction Function of the Monetary Authority," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(4), pages 379-401, July-Aug..
  46. Coe, P.J. & Pesaran, M.H. & Vahey, S.P., 2003. "Scope for Cost Minimization in Public Debt Management: the Case of the UK," Cambridge Working Papers in Economics 0338, Faculty of Economics, University of Cambridge.
  47. Carlos F. Alves & Victor Mendes, 2006. "Mutual fund flows’ performance reaction: does convexity apply to small markets?," FEP Working Papers 204, Universidade do Porto, Faculdade de Economia do Porto.
  48. Gerardo Esquivel & Felipe Larraín, 1999. "Currency Crises: Is Central America Different?," CID Working Papers 26, Center for International Development at Harvard University.
  49. Anthony Garratt & Gary Koop & Emi Mise & Shaun Vahey, 2008. "Real-time Prediction with UK Monetary Aggregates in the Presence of Model Uncertainty," Reserve Bank of New Zealand Discussion Paper Series DP2008/13, Reserve Bank of New Zealand.
  50. Barbara Rossi, 2013. "Exchange Rate Predictability," Working Papers 690, Barcelona Graduate School of Economics.
  51. Marcos Alvarez Díaz & Lucy Amigo Dobaño & Francisco Rodríguez de Prado, . "Taxing on Housing: A Welfare Evaluation of the Spanish Personal Income Tax," Studies on the Spanish Economy 142, FEDEA.
  52. repec:wyi:journl:002068 is not listed on IDEAS
  53. Moosa, Imad & Burns, Kelly, 2014. "The unbeatable random walk in exchange rate forecasting: Reality or myth?," Journal of Macroeconomics, Elsevier, vol. 40(C), pages 69-81.
  54. Pesaran, M. Hashem & Timmermann, Allan, 2002. "Market timing and return prediction under model instability," Journal of Empirical Finance, Elsevier, vol. 9(5), pages 495-510, December.
  55. Nuno Silva, 2015. "Time-Varying Stock Return Predictability: The Eurozone Case," Notas Económicas, Faculdade de Economia, Universidade de Coimbra, issue 41, pages 28-38, June.
  56. Peter F. Christoffersen & Francis X. Diebold, 2003. "Financial Asset Returns, Direction-of-Change Forecasting, and Volatility Dynamics," NBER Working Papers 10009, National Bureau of Economic Research, Inc.
  57. Ferrara, L. & Marcellino, M. & Mogliani, M., 2012. "Macroeconomic forecasting during the Great Recession: The return of non-linearity?," Working papers 383, Banque de France.
  58. repec:spo:wpecon:info:hdl:2441/2135 is not listed on IDEAS
  59. Isiklar, Gultekin & Lahiri, Kajal & Loungani, Prakash, 2006. "How quickly do forecasters incorporate news? Evidence from cross-country surveys," MPRA Paper 22065, University Library of Munich, Germany.
  60. Nuno Silva, 2013. "Equity Premia Predictability in the EuroZone," GEMF Working Papers 2013-22, GEMF - Faculdade de Economia, Universidade de Coimbra.
  61. Mills, Terence C. & Pepper, Gordon T., 1999. "Assessing the forecasters: an analysis of the forecasting records of the Treasury, the London Business School and the National Institute," International Journal of Forecasting, Elsevier, vol. 15(3), pages 247-257, July.
  62. Lorenzo Trapani & Giovanni Urga, 2006. "Optimal forecasting with heterogeneous panels: a Monte Carlo study," Working Papers 0616, Department of Economics and Technology Management, University of Bergamo.
  63. Francis X. Diebold & Jose A. Lopez, 1995. "Forecast evaluation and combination," Research Paper 9525, Federal Reserve Bank of New York.
  64. Pesaran, M. Hashem & Timmermann, Allan, 2009. "Testing Dependence Among Serially Correlated Multicategory Variables," Journal of the American Statistical Association, American Statistical Association, vol. 104(485), pages 325-337.
  65. Sarno, Lucio & Schneider, Paul & Wagner, Christian, 2012. "Properties of foreign exchange risk premiums," Journal of Financial Economics, Elsevier, vol. 105(2), pages 279-310.
  66. Donkers, A.C.D. & Melenberg, B., 2002. "Testing predictive performance of binary choice models," Econometric Institute Research Papers EI 2002-01, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
  67. Matthieu LEMOINE & Odile CHAGNY, 2005. "Estimating the potential output of the euro area with a semi-structural multivariate Hodrick-Prescott filter," Computing in Economics and Finance 2005 344, Society for Computational Economics.
  68. Groenewold, Nicolaas & Kan Tang, Sam Hak & Wu, Yanrui, 2008. "The profitability of regression-based trading rules for the Shanghai stock market," International Review of Financial Analysis, Elsevier, vol. 17(2), pages 411-430.
  69. Francisco Ledesma-Rodriguez & Manuel Navarro-Ibanez & Jorge Perez-Rodriguez & Simon Sosvilla-Rivero, 2011. "Implicit bands in the yen/dollar exchange rate," Applied Economics, Taylor & Francis Journals, vol. 43(10), pages 1241-1255.
  70. Laurence Fung & Ip-wing Yu, 2008. "Predicting Stock Market Returns by Combining Forecasts," Working Papers 0801, Hong Kong Monetary Authority.
  71. Manahov, Viktor & Hudson, Robert & Gebka, Bartosz, 2014. "Does high frequency trading affect technical analysis and market efficiency? And if so, how?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 28(C), pages 131-157.
  72. Rapach, David & Zhou, Guofu, 2013. "Forecasting Stock Returns," Handbook of Economic Forecasting, Elsevier.
  73. Berg, Andrew & Pattillo, Catherine, 1999. "Predicting currency crises:: The indicators approach and an alternative," Journal of International Money and Finance, Elsevier, vol. 18(4), pages 561-586, August.
  74. Meade, Nigel, 2002. "A comparison of the accuracy of short term foreign exchange forecasting methods," International Journal of Forecasting, Elsevier, vol. 18(1), pages 67-83.
  75. M. Hashem Pesaran, 2000. "The Cost Efficiency of UK Debt Management: A Recursive Modelling Approach," CESifo Working Paper Series 346, CESifo Group Munich.
  76. Kevin Lee & Anthony Garratt & Kalvinder Shields, 2009. "Decision Making in hard Times: What is a Recession, Why Do We Care and How Do We Know When We Are in One?," Discussion Papers in Economics 09/22, Department of Economics, University of Leicester.
  77. Nyberg, Henri, 2011. "Forecasting the direction of the US stock market with dynamic binary probit models," International Journal of Forecasting, Elsevier, vol. 27(2), pages 561-578, April.
  78. Raymund Abara, 2006. "Estimation and evaluation of asset pricing models with habit formation using Philippine data," Applied Economics Letters, Taylor & Francis Journals, vol. 13(8), pages 493-497.
  79. He, Kaijian & Xu, Yang & Zou, Yingchao & Tang, Ling, 2015. "Electricity price forecasts using a Curvelet denoising based approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 425(C), pages 1-9.
  80. Marcos Alvarez Díaz & Manuel González Gómez, 2003. "Modelización semiparamétrica y validación teórica del método de valoración contingente. Aplicación de un algoritmo genético," Hacienda Pública Española, IEF, vol. 164(1), pages 29-47, march.
  81. Francisco J. Eransus & Alfonso Novales Cinca, 2011. "A statistical test for forecast evaluation under a discrete loss function," Documentos de Trabajo del ICAE 2011-07, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
  82. Andrea Cipollini & Nektarios Aslanidis, 2007. "Leading indicator properties of US high-yield credit spreads," Center for Economic Research (RECent) 006, University of Modena and Reggio E., Dept. of Economics "Marco Biagi".
  83. Massimo Guidolin & Stuart Hyde & David McMillan & Sadayuki Ono, 2010. "Does the macroeconomy predict U.K. asset returns in a nonlinear fashion? comprehensive out-of-sample evidence," Working Papers 2010-039, Federal Reserve Bank of St. Louis.
  84. Teresa Leal & Javier J. Pérez & Mika Tujula & Jean-Pierre Vidal, 2008. "Fiscal Forecasting: Lessons from the Literature and Challenges," Fiscal Studies, Institute for Fiscal Studies, vol. 29(3), pages 347-386, 09.
  85. T. Hendricks & B. Kempa & C. Pierdzioch, 2010. "Do local analysts have an informational advantage in forecasting stock returns? Evidence from the German DAX30," Financial Markets and Portfolio Management, Springer, vol. 24(2), pages 137-158, June.
  86. Schnake, Kristin N. & Karali, Berna & Dorfman, Jeffrey H., 2012. "The Informational Content of Distant-Delivery Futures Contracts," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 37(2), August.
  87. Michael P. Clements & Philip Hans Franses & Norman R. Swanson, 2003. "Forecasting economic and financial time-series with non-linear models," Departmental Working Papers 200309, Rutgers University, Department of Economics.
  88. Camba-Mendez, Gonzalo & Rodriguez-Palenzuela, Diego, 2003. "Assessment criteria for output gap estimates," Economic Modelling, Elsevier, vol. 20(3), pages 529-562, May.
  89. Marcos Álvarez-Díaz & Alberto Álvarez, 2003. "Predicción No-Lineal De Tipos De Cambio: Algoritmos Genéticos, Redes Neuronales Y Fusión De Datos," Working Papers 0301, Universidade de Vigo, Departamento de Economía Aplicada.
  90. Franses,Philip Hans & Dijk,Dick van, 2000. "Non-Linear Time Series Models in Empirical Finance," Cambridge Books, Cambridge University Press, number 9780521779654, November.
  91. Alquist, Ron & Kilian, Lutz, 2007. "What Do We Learn from the Price of Crude Oil Futures?," CEPR Discussion Papers 6548, C.E.P.R. Discussion Papers.
  92. Fuat C. Beylunioglu & Thanasis Stengos & Ege Yazgan, 2016. "Detecting Convergence Clubs," Working Papers 1604, University of Guelph, Department of Economics and Finance.
  93. Hartmann, Daniel & Pierdzioch, Christian, 2007. "Exchange rates, interventions, and the predictability of stock returns in Japan," Journal of Multinational Financial Management, Elsevier, vol. 17(2), pages 155-172, April.
  94. 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.
  95. Filippo Altissimo & Riccardo Cristadoro & Mario Forni & Marco Lippi & Giovanni Veronese, 2007. "New Eurocoin: Tracking Economic Growth in Real Time," Temi di discussione (Economic working papers) 631, Bank of Italy, Economic Research and International Relations Area.
  96. Stanislav Anatolyev, 2006. "Nonparametric retrospection and monitoring of predictability of financial returns," Working Papers w0071, Center for Economic and Financial Research (CEFIR).
  97. He, Kaijian & Yu, Lean & Lai, Kin Keung, 2012. "Crude oil price analysis and forecasting using wavelet decomposed ensemble model," Energy, Elsevier, vol. 46(1), pages 564-574.
  98. repec:onb:oenbwp:y::i:89:b:1 is not listed on IDEAS
  99. Stekler, H. O. & Petrei, G., 2003. "Diagnostics for evaluating the value and rationality of economic forecasts," International Journal of Forecasting, Elsevier, vol. 19(4), pages 735-742.
  100. Schrimpf, Andreas, 2010. "International stock return predictability under model uncertainty," Journal of International Money and Finance, Elsevier, vol. 29(7), pages 1256-1282, November.
  101. Su-Jane Chen & Ming-Hsiang Chen, 2009. "Discount Rate Changes and Market Timing: A Multinational Study," Annals of Economics and Finance, Society for AEF, vol. 10(2), pages 329-349, November.
  102. Valle e Azevedo, João & Pereira, Ana, 2013. "Approximating and forecasting macroeconomic signals in real-time," International Journal of Forecasting, Elsevier, vol. 29(3), pages 479-492.
  103. Olson, Dennis & Zoubi, Taisier A., 2008. "Using accounting ratios to distinguish between Islamic and conventional banks in the GCC region," The International Journal of Accounting, Elsevier, vol. 43(1), pages 45-65, March.
  104. Pierdzioch, Christian & Schertler, Andrea, 2008. "Investing in European stock markets for high-technology firms," Global Finance Journal, Elsevier, vol. 18(3), pages 400-415.
  105. Jaehun Chung & Yongmiao Hong, 2013. "Model-Free Evaluation of Directional Predictability in Foreign Exchange," WISE Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
  106. Chauvet, Marcelle & Potter, Simon, 2013. "Forecasting Output," Handbook of Economic Forecasting, Elsevier.
  107. Boriss Siliverstovs, 2011. "Are GDP Revisions Predictable? Evidence for Switzerland," KOF Working papers 11-281, KOF Swiss Economic Institute, ETH Zurich.
  108. Silvio John Camilleri & Christopher J. Green, 2005. "An Analysis of the Impacts of Non-Synchronous Trading On," Finance 0504020, EconWPA.
  109. Erick Lahura & Marco Vega, 2011. "Evaluation of Wavelet-based Core Inflation Measures: Evidence from Peru," Documentos de Trabajo / Working Papers 2011-320, Departamento de Economía - Pontificia Universidad Católica del Perú.
  110. Markopoulou, Chryssa & Skintzi, Vasiliki & Refenes, Apostolos, 2016. "On the predictability of model-free implied correlation," International Journal of Forecasting, Elsevier, vol. 32(2), pages 527-547.
  111. Nektarios Aslanidis & Denise Osborn & Marianne Sensier, 2003. "Explaining movements in UK stock prices:," Working Papers 0302, University of Crete, Department of Economics.
  112. Mark Salmon & Roman Kozhan, 2008. "On Uncertainty, Market Timing and the Predictability of Tick by Tick Exchange Rates," Working Papers wp08-06, Warwick Business School, Finance Group.
  113. Carlos F. Alves & Victor Mendes, 2006. "Are mutual fund investors in jail?," FEP Working Papers 203, Universidade do Porto, Faculdade de Economia do Porto.
  114. Artis, Michael J & Clavel, Jose Garcia & Hoffmann, Mathias & Nachane, Dilip M, 2007. "Analyzing Strongly Periodic Series in the Frequency Domain: A Comparison of Alternative Approaches with Applications," CEPR Discussion Papers 6517, C.E.P.R. Discussion Papers.
  115. Engert, Walter & Hendry, Scott, 1998. "Forecasting Inflation with the M1-VECM: Part Two," Staff Working Papers 98-6, Bank of Canada.
  116. Ippei Fujiwara & Maiko Koga, 2002. "A Statistical Forecasting Method for Inflation Forecasting," Bank of Japan Working Paper Series Research and Statistics D, Bank of Japan.
  117. 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.
  118. Yue-Jun Zhang & Ting Yao & Ling-Yun He, 2015. "Forecasting crude oil market volatility: can the Regime Switching GARCH model beat the single-regime GARCH models?," Papers 1512.01676, arXiv.org.
  119. Jennifer Castle & David Hendry, 2012. "Forecasting by factors, by variables, or both?," Economics Series Working Papers 600, University of Oxford, Department of Economics.
  120. Driffill, John & Kenc, Turalay & Sola, Martin & Spagnolo, Fabio, 2004. "On Model Selection and Markov Switching: A Empirical Examination of Term Structure Models with Regime Shifts," CEPR Discussion Papers 4165, C.E.P.R. Discussion Papers.
  121. Timmermann, Allan, 2008. "Elusive return predictability," International Journal of Forecasting, Elsevier, vol. 24(1), pages 1-18.
  122. Dimitris P. Louzis, 2014. "Macroeconomic and credit forecasts in a small economy during crisis: A large Bayesian VAR approach," Working Papers 184, Bank of Greece.
  123. Ahoniemi, Katja & Lanne, Markku, 2007. "Joint Modeling of Call and Put Implied Volatility," MPRA Paper 6318, University Library of Munich, Germany.
  124. Bruce Lehmann & Allan Timmermann, 2007. "Performance measurement and evaluation," LSE Research Online Documents on Economics 24505, London School of Economics and Political Science, LSE Library.
  125. Kizilaslan, Recep & Freund, Steven & Iseri, Ali, 2016. "A data analytic approach to forecasting daily stock returns in an emerging marketAuthor-Name: Oztekin, Asil," European Journal of Operational Research, Elsevier, vol. 253(3), pages 697-710.
  126. Kapetanios, G., 1999. "Threshold Models for Trended Time Series," Cambridge Working Papers in Economics 9905, Faculty of Economics, University of Cambridge.
  127. Massimiliano Mazzanti & Antonio Musolesi, 2012. "The heterogeneity of Carbon Kuznets Curves for advanced countries. Comparing homogeneous, heterogeneous and shrinkage/Bayesian estimators," Working Papers 201206, University of Ferrara, Department of Economics.
  128. Mc Cracken, Michael W., 2000. "Robust out-of-sample inference," Journal of Econometrics, Elsevier, vol. 99(2), pages 195-223, December.
  129. Kosei Fukuda, 2009. "Forecasting growth cycle turning points using US and Japanese professional forecasters," Empirical Economics, Springer, vol. 36(2), pages 243-267, May.
  130. Adrian Pagan, 2005. "Some Econometric Analysis Of Constructed Binary Time Series," CAMA Working Papers 2005-07, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
  131. Don Harding & Adrian Pagan, 2006. "The Econometric Analysis of Constructed Binary Time Series," Department of Economics - Working Papers Series 963, The University of Melbourne.
  132. Rapach, David E. & Wohar, Mark E., 2006. "The out-of-sample forecasting performance of nonlinear models of real exchange rate behavior," International Journal of Forecasting, Elsevier, vol. 22(2), pages 341-361.
  133. Fernando Fernández-Rodríguez & Simón Sosvilla-Rivero & Julián Andrada-Félix, . "Nearest-Neighbour Predictions in Foreign Exchange Markets," Working Papers 2002-05, FEDEA.
  134. IIZUKA Nobuo, 2013. "Predicting Business Cycle Phases by Professional Forecasters- Are They Useful ?," ESRI Discussion paper series 305, Economic and Social Research Institute (ESRI).
  135. Don Bredin & Stuart Hyde, 2008. "Regime Change and the Role of International Markets on the Stock Returns of Small Open Economies," European Financial Management, European Financial Management Association, vol. 14(2), pages 315-346.
  136. Fernando Fernández-Rodríguez & Christian González-Martel* & Simón Sosvilla-Rivero, . "On the profitability of technical trading rules based on arifitial neural networks : evidence from the Madrid stock market," Working Papers 99-07, FEDEA.
  137. Oliver Blaskowitz & Helmut Herwartz, 2008. "Testing directional forecast value in the presence of serial correlation," SFB 649 Discussion Papers SFB649DP2008-073, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
  138. repec:hal:journl:halshs-00275769 is not listed on IDEAS
  139. Sermpinis, Georgios & Stasinakis, Charalampos & Theofilatos, Konstantinos & Karathanasopoulos, Andreas, 2015. "Modeling, forecasting and trading the EUR exchange rates with hybrid rolling genetic algorithms—Support vector regression forecast combinations," European Journal of Operational Research, Elsevier, vol. 247(3), pages 831-846.
  140. Gradojevic, Nikola, 2007. "Non-linear, hybrid exchange rate modeling and trading profitability in the foreign exchange market," Journal of Economic Dynamics and Control, Elsevier, vol. 31(2), pages 557-574, February.
  141. Bessec, M., 2012. "Short-term forecasts of French GDP: a dynamic factor model with targeted predictors," Working papers 409, Banque de France.
  142. Çakmaklı, Cem & van Dijk, Dick, 2016. "Getting the most out of macroeconomic information for predicting excess stock returns," International Journal of Forecasting, Elsevier, vol. 32(3), pages 650-668.
  143. Kömm, Holger & Küsters, Ulrich, 2015. "Forecasting zero-inflated price changes with a Markov switching mixture model for autoregressive and heteroscedastic time series," International Journal of Forecasting, Elsevier, vol. 31(3), pages 598-608.
  144. Ash, J. C. K. & Smyth, D. J. & Heravi, S. M., 1998. "Are OECD forecasts rational and useful?: a directional analysis," International Journal of Forecasting, Elsevier, vol. 14(3), pages 381-391, September.
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