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Citations for "Forecasting Using Principal Components From a Large Number of Predictors"

by Stock J.H. & Watson M.W.

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  1. Andreas Beyer & Roger E. A. Farmer & Jérôme Henry & Massimiliano Marcellino, 2007. "Factor Analysis in a Model with Rational Expectations," NBER Working Papers 13404, National Bureau of Economic Research, Inc.
  2. Proietti, Tommaso, 2008. "Estimation of Common Factors under Cross-Sectional and Temporal Aggregation Constraints: Nowcasting Monthly GDP and its Main Components," MPRA Paper 6860, University Library of Munich, Germany.
  3. Nathan Bedock & Dalibor Stevanovic, 2012. "An Empirical Study of Credit Shock Transmission in a Small Open Economy," CIRANO Working Papers 2012s-16, CIRANO.
  4. Igor Makarov & D. Papanikolaou, 2008. "Sources of systematic risk," LSE Research Online Documents on Economics 53906, London School of Economics and Political Science, LSE Library.
  5. D'Agostino, Antonello & Giannone, Domenico, 2007. "Comparing Alternative Predictors Based on Large-Panel Factor Models," CEPR Discussion Papers 6564, C.E.P.R. Discussion Papers.
  6. 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.
  7. Bernoth, Kerstin & Pick, Andreas, 2011. "Forecasting the fragility of the banking and insurance sectors," Journal of Banking & Finance, Elsevier, vol. 35(4), pages 807-818, April.
  8. Arbués, Ignacio, 2013. "Determining the MSE-optimal cross section to forecast," Journal of Econometrics, Elsevier, vol. 175(2), pages 61-70.
  9. Kollmann, Robert & Zeugner, Stefan, 2011. "Leverage as a Predictor for Real Activity and Volatility," CEPR Discussion Papers 8327, C.E.P.R. Discussion Papers.
  10. Beck, Günter & Hubrich, Kirstin & Marcellino, Massimiliano, 2011. "On the importance of sectoral and regional shocks for price-setting," CEPR Discussion Papers 8357, C.E.P.R. Discussion Papers.
  11. Pang, Iris Ai Jao, 2010. "Forecasting Hong Kong economy using factor augmented vector autoregression," MPRA Paper 32495, University Library of Munich, Germany.
  12. Bai, Jushan & Li, Kunpeng & Lu, Lina, 2014. "Estimation and inference of FAVAR models," MPRA Paper 60960, University Library of Munich, Germany.
  13. Schwaab, Bernd & Koopman, Siem Jan & Lucas, André, 2011. "Systemic risk diagnostics: coincident indicators and early warning signals," Working Paper Series 1327, European Central Bank.
  14. Françoise Charpin, 2011. "Réévaluation des modèles d’estimation précoce de la croissance," Sciences Po publications info:hdl:2441/eu4vqp9ompq, Sciences Po.
  15. Angelini, Elena & Henry, Jérôme & Marcellino, Massimiliano, 2003. "Interpolation and backdating with a large information set," Working Paper Series 0252, European Central Bank.
  16. 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.
  17. Anindya Banerjee & Massimiliano Marcellino & Igor Masten, 2008. "Forecasting Macroeconomic Variables Using Diffusion Indexes in Short Samples with Structural Change," Economics Working Papers ECO2008/17, European University Institute.
  18. Francisco Craveiro Dias & Cláudia Duarte & António Rua, 2008. "Inflation expectations in the euro area: Are consumers rational?," Working Papers w200823, Banco de Portugal, Economics and Research Department.
  19. Rangan Gupta & Alain Kabundi & Stephen M. Miller, 2009. "Forecasting the US Real House Price Index: Structural and Non-Structural Models with and without Fundamentals," Working papers 2009-42, University of Connecticut, Department of Economics.
  20. Cubadda, Gianluca & Guardabascio, Barbara & Hecq, Alain, 2013. "A general to specific approach for constructing composite business cycle indicators," Economic Modelling, Elsevier, vol. 33(C), pages 367-374.
  21. Rangan Gupta & Alain Kabundi & Stephen M. Miller, 2009. "Using Large Data Sets to Forecast Housing Prices: A Case Study of Twenty US States," Working Papers 200912, University of Pretoria, Department of Economics.
  22. Raúl Ibarra-Ramírez, 2010. "Forecasting Inflation in Mexico Using Factor Models: Do Disaggregated CPI Data Improve Forecast Accuracy?," Working Papers 2010-01, Banco de México.
  23. Sévi, Benoît & Le Pen, Yannick & Chevallier, Julien & Bunn, Derek, 2013. "Fundamental and Financial Influences on the Co-movement of Oil and Gas Prices," Economics Papers from University Paris Dauphine 123456789/11692, Paris Dauphine University.
  24. Chen, Pu, 2010. "A Grouped Factor Model," MPRA Paper 28083, University Library of Munich, Germany, revised 11 Jan 2011.
  25. Eickmeier, Sandra & Lemke, Wolfgang & Marcellino, Massimiliano, 2011. "Classical time-varying FAVAR models - estimation, forecasting and structural analysis," Discussion Paper Series 1: Economic Studies 2011,04, Deutsche Bundesbank, Research Centre.
  26. Huiyu Huang & Tae-Hwy Lee, 2013. "Forecasting Value-at-Risk Using High-Frequency Information," Econometrics, MDPI, Open Access Journal, vol. 1(1), pages 127-140, June.
  27. repec:spo:wpecon:info:hdl:2441/9676 is not listed on IDEAS
  28. Jushan Bai & Serena Ng, 2008. "Extremum Estimation when the Predictors are Estimated from Large Panels," Annals of Economics and Finance, Society for AEF, vol. 9(2), pages 201-222, November.
  29. Jeroen Klomp & Jacob de Haan (DNB), 2010. "Banking risk and regulation: Does one size fit all?," CPB Discussion Paper 164, CPB Netherlands Bureau for Economic Policy Analysis.
  30. Barry Eichengreen & Ashoka Mody & Milan Nedeljkovic & Lucio Sarno, 2009. "How the Subprime Crisis Went Global: Evidence from Bank Credit Default Swap Spreads," NBER Working Papers 14904, National Bureau of Economic Research, Inc.
  31. Banerjee, Anindya & Marcellino, Massimiliano & Masten, Igor, 2005. "Forecasting macroeconomic variables for the new member states of the European Union," Working Paper Series 0482, European Central Bank.
  32. M. E. Bontempi & I. Mammi, 2012. "A strategy to reduce the count of moment conditions in panel data GMM," Working Papers wp843, Dipartimento Scienze Economiche, Universita' di Bologna.
  33. Siem Jan Koopman & Andr� Lucas & Bernd Schwaab, 2008. "Forecasting Cross-Sections of Frailty-Correlated Default," Tinbergen Institute Discussion Papers 08-029/4, Tinbergen Institute.
  34. Hwee Kwan Chow & Keen Meng Choy, 2009. "Analyzing and forecasting business cycles in a small open economy: A dynamic factor model for Singapore," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing,Centre for International Research on Economic Tendency Surveys, vol. 2009(1), pages 19-41.
  35. Herwartz, Helmut & Golosnoy, Vasyl, 2007. "Semiparametric Approaches to the Prediction of Conditional Correlation Matrices in Finance," Economics Working Papers 2007,23, Christian-Albrechts-University of Kiel, Department of Economics.
  36. Chang, Kuang Liang & Chen, Nan Kuang & Leung, Charles Ka Yui, 2011. "In the Shadow of the United States: The International Transmission Effect of Asset Returns," MPRA Paper 32776, University Library of Munich, Germany.
  37. Eickmeier, Sandra & Gambacorta, Leonardo & Hofmann, Boris, 2014. "Understanding global liquidity," European Economic Review, Elsevier, vol. 68(C), pages 1-18.
  38. Ang, Andrew & Bekaert, Geert & Wei, Min, 2007. "Do macro variables, asset markets, or surveys forecast inflation better?," Journal of Monetary Economics, Elsevier, vol. 54(4), pages 1163-1212, May.
  39. António Rua, 2010. "A Wavelet Approach for Factor-Augmented Forecasting," Working Papers w201007, Banco de Portugal, Economics and Research Department.
  40. Jan Jacobs & Pieter Otter & Ard den Reijer, 2007. "Information, data dimension and factor structure," DNB Working Papers 150, Netherlands Central Bank, Research Department.
  41. 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.
  42. Massimiliano Marcellino, 2007. "Pooling-Based Data Interpolation and Backdating," Journal of Time Series Analysis, Wiley Blackwell, vol. 28(1), pages 53-71, 01.
  43. 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.
  44. Françoise Charpin & Catherine Mathieu & Gian Luigi Mazzi, 2008. "Construction of coincident indicators for euro area key macroeconomic variables. 28th International Symposium on Forecasting, Nice, June 23 2008," Sciences Po publications info:hdl:2441/9676, Sciences Po.
  45. Jonathan H. Wright, 2003. "Bayesian Model Averaging and exchange rate forecasts," International Finance Discussion Papers 779, Board of Governors of the Federal Reserve System (U.S.).
  46. Kim, Hyun Hak & Swanson, Norman R., 2014. "Forecasting financial and macroeconomic variables using data reduction methods: New empirical evidence," Journal of Econometrics, Elsevier, vol. 178(P2), pages 352-367.
  47. Piotr Białowolski & Tomasz Kuszewski & Bartosz Witkowski, 2012. "Macroeconomic Forecasts in Models with Bayesian Averaging of Classical Estimates," Contemporary Economics, University of Finance and Management in Warsaw, vol. 6(1), March.
  48. Eliana González, 2010. "Bayesian Model Averaging. An Application to Forecast Inflation in Colombia," BORRADORES DE ECONOMIA 007015, BANCO DE LA REPÚBLICA.
  49. In Choi, 2011. "Efficient Estimation of Nonstationary Factor Models," Working Papers 1101, Research Institute for Market Economy, Sogang University, revised Jun 2011.
  50. Issler, João Victor & Notini, Hilton Hostalacio, 2014. "Estimating Brazilian Monthly GDP:a State-Space Approach," Economics Working Papers (Ensaios Economicos da EPGE) 757, FGV/EPGE Escola Brasileira de Economia e Finanças, Getulio Vargas Foundation (Brazil).
  51. Ronald A. Ratti & Joaquin L. Vespignani, 2014. "Commodity Prices and BRIC and G3 Liquidity: A SFAVEC Approach," CAMA Working Papers 2014-13, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
  52. Ang, James B. & McKibbin, Warwick J., 2007. "Financial liberalization, financial sector development and growth: Evidence from Malaysia," Journal of Development Economics, Elsevier, vol. 84(1), pages 215-233, September.
  53. L. Ferrara & C. Marsilli, 2014. "Nowcasting global economic growth: A factor-augmented mixed-frequency approach," Working papers 515, Banque de France.
  54. 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.
  55. Forni, Mario & Hallin, Marc & Lippi, Marco & Zaffaroni, Paolo, 2015. "Dynamic factor models with infinite-dimensional factor spaces: One-sided representations," Journal of Econometrics, Elsevier, vol. 185(2), pages 359-371.
  56. Vermeulen, Philip, 2014. "An evaluation of business survey indices for short-term forecasting: Balance method versus Carlson–Parkin method," International Journal of Forecasting, Elsevier, vol. 30(4), pages 882-897.
  57. Ivan Kitov & Oleg Kitov, 2013. "Does Banque de France control inflation and unemployment?," Papers 1311.1097, arXiv.org.
  58. Kitov, Ivan, 2007. "Inflation, unemployment, labor force change in European countries," MPRA Paper 14557, University Library of Munich, Germany.
  59. Jonathan H. Wright, 2003. "Forecasting U.S. inflation by Bayesian Model Averaging," International Finance Discussion Papers 780, Board of Governors of the Federal Reserve System (U.S.).
  60. Chevallier, Julien, 2011. "Macroeconomics, finance, commodities: Interactions with carbon markets in a data-rich model," Economic Modelling, Elsevier, vol. 28(1-2), pages 557-567, January.
  61. Heaton, Chris & Solo, Victor, 2012. "Estimation of high-dimensional linear factor models with grouped variables," Journal of Multivariate Analysis, Elsevier, vol. 105(1), pages 348-367.
  62. Sydeny C. Ludvigson & Serena Ng, 2005. "Macro Factors in Bond Risk Premia," NBER Working Papers 11703, National Bureau of Economic Research, Inc.
  63. Beck, Guenter W. & Hubrich, Kirstin & Marcellino, Massimiliano, 2009. "On the importance of sectoral shocks for price-setting," CFS Working Paper Series 2009/32, Center for Financial Studies (CFS).
  64. Bettina Becker & Stephen G. Hall, 2009. "A new look at economic convergence in Europe: a common factor approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 14(1), pages 85-97.
  65. Luciani, Matteo, 2014. "Forecasting with approximate dynamic factor models: The role of non-pervasive shocks," International Journal of Forecasting, Elsevier, vol. 30(1), pages 20-29.
  66. Darné, O. & Ferrara, L., 2009. "Identification of slowdowns and accelerations for the euro area economy," Working papers 239, Banque de France.
  67. Vladimir Yankov & Egon Zakrajsek & Simon Gilchrist, 2009. "Credit Market Shocks and Economic Fluctuations: Evidence from Corporate Bond and Stock Markets," 2009 Meeting Papers 514, Society for Economic Dynamics.
  68. Koopman, Siem Jan & Lucas, André & Schwaab, Bernd, 2011. "Modeling frailty-correlated defaults using many macroeconomic covariates," Journal of Econometrics, Elsevier, vol. 162(2), pages 312-325, June.
  69. Bai, Jushan & Li, Kunpeng, 2010. "Theory and methods of panel data models with interactive effects," MPRA Paper 43441, University Library of Munich, Germany, revised Dec 2012.
  70. Peter Sandholt Jensen & Allan H. Würtz, 2006. "On determining the importance of a regressor with small and undersized samples," Economics Working Papers 2006-08, School of Economics and Management, University of Aarhus.
  71. Antipa, Pamfili & Barhoumi, Karim & Brunhes-Lesage, Véronique & Darné, Olivier, 2012. "Nowcasting German GDP: A comparison of bridge and factor models," Journal of Policy Modeling, Elsevier, vol. 34(6), pages 864-878.
  72. Sílvia Gonçalves & Benoit Perron, 2012. "Bootstrapping factor-augmented regression models," CIRANO Working Papers 2012s-12, CIRANO.
  73. Zaher, Fadi, 2007. "Evaluating factor forecasts for the UK: The role of asset prices," International Journal of Forecasting, Elsevier, vol. 23(4), pages 679-693.
  74. Markus Eberhardt & Andrea F. Presbitero, 2013. "This Time They’re Different: Heterogeneity and Nonlinearity in the Relationship between Debt and Growth," Discussion Papers 2013/10, University of Nottingham, Centre for Finance, Credit and Macroeconomics (CFCM).
  75. Gerd Ronning & Phlipp Bleninger, 2011. "Disclosure Risk from Interactions and Saturated Models in Remote Access," IAW Discussion Papers 73, Institut für Angewandte Wirtschaftsforschung (IAW).
  76. Lutz Kilian & Atsushi Inoue, 2004. "Bagging Time Series Models," Econometric Society 2004 North American Summer Meetings 110, Econometric Society.
  77. Gary Koop, 2013. "Using VARs and TVP-VARs with Many Macroeconomic Variables," Working Papers 1303, University of Strathclyde Business School, Department of Economics.
  78. Miguel Jerez & José Casals & Sonia Sotoca, 2009. "Likelihood stabilization for ill-conditioned vector GARCH models," Computational Statistics, Springer, vol. 24(1), pages 15-35, February.
  79. Tobias Adrian & Erkko Etula & Jan J. J. Groen, 2010. "Financial amplification of foreign exchange risk premia," Staff Reports 461, Federal Reserve Bank of New York.
  80. Romain Houssa & Lasse Bork & Hans Dewachter, 2008. "Identification of Macroeconomic Factors in Large Panels," Working Papers 1010, University of Namur, Department of Economics.
  81. Araújo, Fabio & Issler, João Victor & Fernandes, Marcelo, 2006. "A Stochastic Discount Factor Approach to Asset Pricing Using Panel Data," Economics Working Papers (Ensaios Economicos da EPGE) 628, FGV/EPGE Escola Brasileira de Economia e Finanças, Getulio Vargas Foundation (Brazil).
  82. Kitov, Ivan, 2013. "Inflation, unemployment, and labour force. Phillips curves and long-term projections for Austria," MPRA Paper 49700, University Library of Munich, Germany.
  83. Olivier BIAU & Angela D´ELIA, . "Euro Area GDP Forecast Using Large Survey Dataset - A Random Forest Approach," EcoMod2010 259600029, EcoMod.
  84. Filippo Altissimo & Riccardo Cristadoro & Mario Forni & Marco Lippi & Giovanni Veronese, 2010. "New Eurocoin: Tracking Economic Growth in Real Time," The Review of Economics and Statistics, MIT Press, vol. 92(4), pages 1024-1034, November.
  85. Mirko Abbritti & Salvatore Dell'Erba & Antonio Moreno & Sergio Sola, 2013. "Global Factors in the Term Structure of Interest Rates," IMF Working Papers 13/223, International Monetary Fund.
  86. De Mol, Christine & Giannone, Domenico & Reichlin, Lucrezia, 2006. "Forecasting Using a Large Number of Predictors: Is Bayesian Regression a Valid Alternative to Principal Components?," CEPR Discussion Papers 5829, C.E.P.R. Discussion Papers.
  87. Juan José Echavarría & Andrés gonzález & Enrique López & Norberto Rodríguez, 2012. "Choques internacionales reales y financieros y su impacto sobre la economía colombiana," BORRADORES DE ECONOMIA 009884, BANCO DE LA REPÚBLICA.
  88. Mario Forni & Luca Gambetti & Luca Sala, 2011. "No News in Business Cycles," UFAE and IAE Working Papers 862.11, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
  89. Eric J. Bartelsman & Zoltan Wolf, 2009. "Forecasting Aggregate Productivity using Information from Firm-Level Data," Tinbergen Institute Discussion Papers 09-043/3, Tinbergen Institute.
  90. Canova, Fabio & Ciccarelli, Matteo, 2013. "Panel vector autoregressive models: a survey," Working Paper Series 1507, European Central Bank.
  91. Marc Hallin & Marco Lippi, 2013. "Factor Models in High-Dimensional Time Series: A Time-Domain Approach," Working Papers ECARES ECARES 2013-15, ULB -- Universite Libre de Bruxelles.
  92. Boriss Siliverstovs & Konstantin A. Kholodilin, 2010. "Assessing the Real-Time Informational Content of Macroeconomic Data Releases for Now-/Forecasting GDP: Evidence for Switzerland," Discussion Papers of DIW Berlin 970, DIW Berlin, German Institute for Economic Research.
  93. Sévi, Benoît & Le Pen, Yannick, 2013. "Futures trading and the excess comovement of commodity prices," Economics Papers from University Paris Dauphine 123456789/11382, Paris Dauphine University.
  94. Kihwan Kim & Norman Swanson, 2013. "Diffusion Index Model Specification and Estimation Using Mixed Frequency Datasets," Departmental Working Papers 201315, Rutgers University, Department of Economics.
  95. Ibarra, Raul, 2012. "Do disaggregated CPI data improve the accuracy of inflation forecasts?," Economic Modelling, Elsevier, vol. 29(4), pages 1305-1313.
  96. Ho, Kin-Yip & Tsui, Albert K. & Zhang, Zhaoyong, 2009. "Volatility dynamics of the US business cycle: A multivariate asymmetric GARCH approach," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(9), pages 2856-2868.
  97. Ron Bird & Richard Gerlach, 2006. "A Bayesian Model Averaging Approach to Enhance Value Investment," International Journal of Business and Economics, College of Business, and College of Finance, Feng Chia University, Taichung, Taiwan, vol. 5(2), pages 111-127, August.
  98. Borus Jungbacker & Siem Jan Koopman, 2008. "Likelihood-based Analysis for Dynamic Factor Models," Tinbergen Institute Discussion Papers 08-007/4, Tinbergen Institute, revised 20 Mar 2014.
  99. Izabel Cristina de Lima & Sueli Moro & Frederico Gonzaga Jayme Junior, 2006. "Ciclos E Previsão Cíclica: Um Modelo De Indicadores Antecedentes Para A Economia Brasileira," Anais do XXXIV Encontro Nacional de Economia [Proceedings of the 34th Brazilian Economics Meeting] 13, ANPEC - Associação Nacional dos Centros de Pósgraduação em Economia [Brazilian Association of Graduate Programs in Economics].
  100. Ard H.J. den Reijer, 2005. "Forecasting Dutch GDP using Large Scale Factor Models," DNB Working Papers 028, Netherlands Central Bank, Research Department.
  101. Branimir, Jovanovic & Magdalena, Petrovska, 2010. "Forecasting Macedonian GDP: Evaluation of different models for short-term forecasting," MPRA Paper 43162, University Library of Munich, Germany.
  102. Felício, Wilson Rafael de Oliveira & Rossi, José Luiz J., 2012. "The Usefulness of factor models in forecasting the exchange rate: results from the Brazilian case," Insper Working Papers wpe_273, Insper Working Paper, Insper Instituto de Ensino e Pesquisa.
  103. Hendry, David F. & Hubrich, Kirstin, 2011. "Combining Disaggregate Forecasts or Combining Disaggregate Information to Forecast an Aggregate," Journal of Business & Economic Statistics, American Statistical Association, vol. 29(2), pages 216-227.
  104. M. E. Bontempi & I. Mammi, 2014. "pca2: implementing a strategy to reduce the instrument count in panel GMM," Working Papers wp960, Dipartimento Scienze Economiche, Universita' di Bologna.
  105. Eric Ghysels & Casidhe Horan & Emanuel Moench, 2012. "Forecasting through the rear-view mirror: data revisions and bond return predictability," Staff Reports 581, Federal Reserve Bank of New York.
  106. Le, Vu & Wang, Qing, 2014. "Robust thresholding for Diffusion Index forecast," Economics Letters, Elsevier, vol. 125(1), pages 52-56.
  107. Hwee Kwan Chow & Keen Meng Choy, 2008. "Forecasting Business Cycles in a Small Open Economy: A Dynamic Factor Model for Singapore," Economic Growth Centre Working Paper Series 0802, Nanyang Technological University, School of Humanities and Social Sciences, Economic Growth Centre.
  108. Pang, Iris Ai Jao, 2010. "Were Fed’s active monetary policy actions necessary?," MPRA Paper 32496, University Library of Munich, Germany.
  109. Dandan ZHANG & Xunpeng SHI & Yu SHENG, 2014. "Enhanced Measurement of Energy Market Integration in East Asia: An Application of Dynamic Principal Component Analysis," Working Papers DP-2014-23, Economic Research Institute for ASEAN and East Asia (ERIA).
  110. Chalamandaris, Georgios & Tsekrekos, Andrianos E., 2010. "Predictable dynamics in implied volatility surfaces from OTC currency options," Journal of Banking & Finance, Elsevier, vol. 34(6), pages 1175-1188, June.
  111. Carlos Pérez Montes, 2013. "Estimation of Regulatory Credit Risk Models," Banco de Espa�a Working Papers 1305, Banco de Espa�a.
  112. Aastveit, Knut Are, 2014. "Oil price shocks in a data-rich environment," Energy Economics, Elsevier, vol. 45(C), pages 268-279.
  113. Fladung, Michael, 2007. "Spill-over effects of monetary policy: a progress report on interest rate convergence in Europe," Discussion Paper Series 1: Economic Studies 2007,27, Deutsche Bundesbank, Research Centre.
  114. Le Pen, Yannick & Sévi, Benoît, 2010. "Revisiting the excess co-movements of commodity prices in a data-rich environment," Economics Papers from University Paris Dauphine 123456789/6800, Paris Dauphine University.
  115. Hyungsik Roger Moon & Martin Weidner, 2013. "Linear regression for panel with unknown number of factors as interactive fixed effects," CeMMAP working papers CWP49/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  116. 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.
  117. Germán López Espinosa, 2015. "Forecast Accuracy of Small and Large Scale Dynamic Factor Models in Developing Economies," Working Papers. Serie AD 2015-03, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
  118. Marta Banbura & Domenico Giannone & Lucrezia Reichlin, 2010. "Large Bayesian vector auto regressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(1), pages 71-92.
  119. Henzel, Steffen R. & Mayr, Johannes, 2013. "The mechanics of VAR forecast pooling—A DSGE model based Monte Carlo study," The North American Journal of Economics and Finance, Elsevier, vol. 24(C), pages 1-24.
  120. Hallin, Marc & Mathias, Charles & Pirotte, Hugues & Veredas, David, 2011. "Market liquidity as dynamic factors," Journal of Econometrics, Elsevier, vol. 163(1), pages 42-50, July.
  121. Shu-Ling Chen & John D. Jackson & Hyeongwoo Kim & Pramesti Resiandini, 2013. "What Drives Commodity Prices?," Auburn Economics Working Paper Series auwp2013-03, Department of Economics, Auburn University.
  122. Dalibor Stevanovic & Charles Olivier Mao Takongmo, 2014. "Selection of the number of factors in presence of structural instability: a Monte Carlo study," CIRANO Working Papers 2014s-44, CIRANO.
  123. Neil Mehrotra & Dmitriy Sergeyev, 2013. "Sectoral Shocks, the Beveridge Curve and Monetary Policy," 2013 Meeting Papers 919, Society for Economic Dynamics.
  124. 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.
  125. Fabio Canova & Matteo Ciccarelli, 2002. "Estimating multi-country VAR models," Economics Working Papers 920, Department of Economics and Business, Universitat Pompeu Fabra, revised Apr 2008.
  126. Bouaddi, Mohammed & Taamouti, Abderrahim, 2013. "Portfolio selection in a data-rich environment," Journal of Economic Dynamics and Control, Elsevier, vol. 37(12), pages 2943-2962.
  127. Liang Chen & Juan Dolado & Jesus Gonzalo, 2013. "Detecting Big Structural Breaks in Large Factor Models," Economics Series Working Papers 677, University of Oxford, Department of Economics.
  128. Katarzyna Maciejowska & Rafal Weron, 2013. "Forecasting of daily electricity prices with factor models: Utilizing intra-day and inter-zone relationships," HSC Research Reports HSC/13/11, Hugo Steinhaus Center, Wroclaw University of Technology.
  129. Drew Creal & Siem Jan Koopman & Eric Zivot, 2010. "Extracting a robust US business cycle using a time-varying multivariate model-based bandpass filter," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(4), pages 695-719.
  130. Matteo Barigozzi & Antonio M. Conti & Matteo Luciani, 2013. "Do euro area countries respond asymmetrically to the common monetary policy?," Temi di discussione (Economic working papers) 923, Bank of Italy, Economic Research and International Relations Area.
  131. Inoue, Atsushi & Kilian, Lutz, 2005. "How Useful is Bagging in Forecasting Economic Time Series? A Case Study of US CPI Inflation," CEPR Discussion Papers 5304, C.E.P.R. Discussion Papers.
  132. Konstantins Benkovskis & Andrejs Bessonovs & Martin Feldkircher & Julia Wörz, 2011. "The Transmission of Euro Area Monetary Shocks to the Czech Republic, Poland and Hungary: Evidence from a FAVAR Model," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue 3, pages 8-36.
  133. Moench, Emanuel, 2008. "Forecasting the yield curve in a data-rich environment: A no-arbitrage factor-augmented VAR approach," Journal of Econometrics, Elsevier, vol. 146(1), pages 26-43, September.
  134. McKitrick, Ross & Wood, Joel, 2013. "Co-fluctuation patterns of per capita carbon dioxide emissions: The role of energy markets," Energy Economics, Elsevier, vol. 39(C), pages 1-12.
  135. Banerjee, Anindya & Marcellino, Massimiliano, 2008. "Factor-augmented Error Correction Models," CEPR Discussion Papers 6707, C.E.P.R. Discussion Papers.
  136. Gloria González-Rivera & Tae-Hwy Lee, 2007. "Nonlinear Time Series in Financial Forecasting," Working Papers 200803, University of California at Riverside, Department of Economics, revised Feb 2008.
  137. Aslanidis, Nektarios & Christiansen, Charlotte, 2014. "Quantiles of the realized stock–bond correlation and links to the macroeconomy," Journal of Empirical Finance, Elsevier, vol. 28(C), pages 321-331.
  138. Kemal Bagzibagli, 2014. "Monetary transmission mechanism and time variation in the Euro area," Empirical Economics, Springer, vol. 47(3), pages 781-823, November.
  139. Kitov, Ivan & KItov, Oleg, 2013. "Inflation, unemployment, and labor force. Phillips curves and long-term projections for Japan," MPRA Paper 49388, University Library of Munich, Germany.
  140. Antonio Merlo & Aureo de Paula, 2010. "Identification and Estimation of Preference Distributions When Voters Are Ideological," PIER Working Paper Archive 11-001, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
  141. Wolters, Maik H., 2011. "Forecasting under Model Uncertainty," Annual Conference 2011 (Frankfurt, Main): The Order of the World Economy - Lessons from the Crisis 48723, Verein für Socialpolitik / German Economic Association.
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  281. Maria Elena Bontempi & Roberto Golinelli, 2012. "The effect of neglecting the slope parameters’ heterogeneity on dynamic models of corporate capital structure," Quantitative Finance, Taylor & Francis Journals, vol. 12(11), pages 1733-1751, November.
  282. Mikael Khan & Louis Morel & Patrick Sabourin, 2013. "The Common Component of CPI: An Alternative Measure of Underlying Inflation for Canada," Working Papers 13-35, Bank of Canada.
  283. Matthias Burgert & Stephane Dees, 2009. "Forecasting World Trade: Direct Versus “Bottom-Up” Approaches," Open Economies Review, Springer, vol. 20(3), pages 385-402, July.
  284. Norman R. Swanson & Nii Ayi Armah, 2011. "Diffusion Index Models and Index Proxies: Recent Results and New Directions," Departmental Working Papers 201114, Rutgers University, Department of Economics.
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  286. Jushan Bai & Shuzhong Shi, 2011. "Estimating High Dimensional Covariance Matrices and its Applications," Annals of Economics and Finance, Society for AEF, vol. 12(2), pages 199-215, November.
  287. Jushan Bai & Serena Ng, 2009. "Boosting diffusion indices," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(4), pages 607-629.
  288. Li, Jiahan & Chen, Weiye, 2014. "Forecasting macroeconomic time series: LASSO-based approaches and their forecast combinations with dynamic factor models," International Journal of Forecasting, Elsevier, vol. 30(4), pages 996-1015.
  289. Pilar Poncela & Esther Ruiz, 2012. "More is not always better : back to the Kalman filter in dynamic factor models," Statistics and Econometrics Working Papers ws122317, Universidad Carlos III, Departamento de Estadística y Econometría.
  290. Darracq Pariès, Matthieu & Maurin, Laurent, 2008. "The role of country-specific trade and survey data in forecasting euro area manufacturing production: perspective from large panel factor models," Working Paper Series 0894, European Central Bank.
  291. Hyungsik Roger Moon & Martin Weidner, 2013. "Dynamic linear panel regression models with interactive fixed effects," CeMMAP working papers CWP63/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  292. Chevallier, Julien, 2010. "Volatility forecasting of carbon prices using factor models," Economics Papers from University Paris Dauphine 123456789/4349, Paris Dauphine University.
  293. Fricke, Christoph, 2012. "Expected and unexpected bond excess returns: Macroeconomic and market microstructure effects," Hannover Economic Papers (HEP) dp-493, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
  294. Jianqing Fan & Yuan Liao & Xiaofeng Shi, 2013. "Risks of Large Portfolios," Papers 1302.0926, arXiv.org.
  295. Simplice Asongu & Jacinta C. Nwachukwu, 2015. "Drivers of FDI in Fast Growing Developing Countries: Evidence from Bundling and Unbundling Governance," Working Papers 15/001, African Governance and Development Institute..
  296. Gefang, Deborah, 2014. "Bayesian doubly adaptive elastic-net Lasso for VAR shrinkage," International Journal of Forecasting, Elsevier, vol. 30(1), pages 1-11.
  297. Branimir Jovanovic & Magdalena Petrovska, 2010. "Forecasting Macedonian GDP: Evaluation of different models for short-term forecasting," Working Papers 2010-02, National Bank of the Republic of Macedonia, revised Aug 2010.
  298. Roberto S. Mariano & Yasutomo Murasawa, 2004. "Constructing a Coincident Index of Business Cycles without Assuming a One-factor Model," Working Papers 22-2004, Singapore Management University, School of Economics, revised Oct 2004.
  299. Eliana González, 2010. "Bayesian Model Averaging. An Application to Forecast Inflation in Colombia," BORRADORES DE ECONOMIA 007014, BANCO DE LA REPÚBLICA.
  300. Pablo A. Guerron-Quintana, 2012. "Common and idiosyncratic disturbances in developed small open economies," Working Papers 12-3, Federal Reserve Bank of Philadelphia.
  301. Hyejung Moon & Jungick Lee, 2013. "Forecast evaluation of economic sentiment indicator for the Korean economy," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Proceedings of the Sixth IFC Conference on "Statistical issues and activities in a changing environment", Basel, 28-29 August 2012., volume 36, pages 180-190 Bank for International Settlements.
  302. Marcus Kappler, 2011. "Business Cycle Co-movement and Trade Intensity in the Euro Area: is there a Dynamic Link?," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), Justus-Liebig University Giessen, Department of Statistics and Economics, vol. 231(2), pages 247-265, April.
  303. Dong Fu, 2007. "National, regional and metro-specific factors of the U.S. housing market," Working Papers 0707, Federal Reserve Bank of Dallas.
  304. Golinelli, Roberto & Parigi, Giuseppe, 2014. "Tracking world trade and GDP in real time," International Journal of Forecasting, Elsevier, vol. 30(4), pages 847-862.
  305. De Gooijer, Jan G. & Hyndman, Rob J., 2006. "25 years of time series forecasting," International Journal of Forecasting, Elsevier, vol. 22(3), pages 443-473.
  306. Klaus Abberger, 2007. "Forecasting Quarter-on-Quarter Changes of German GDP with Monthly Business Tendency Survey Results," Ifo Working Paper Series Ifo Working Paper No. 40, Ifo Institute for Economic Research at the University of Munich.
  307. Forni, Mario & Gambetti, Luca, 2014. "Sufficient information in structural VARs," Journal of Monetary Economics, Elsevier, vol. 66(C), pages 124-136.
  308. Jan J. J. Groen & George Kapetanios, 2009. "Model selection criteria for factor-augmented regressions," Staff Reports 363, Federal Reserve Bank of New York.
  309. Scott Brave & R. Andrew Butters, 2010. "Gathering insights on the forest from the trees: a new metric for financial conditions," Working Paper Series WP-2010-07, Federal Reserve Bank of Chicago.
  310. Jon Faust & Jonathan H. Wright, 2007. "Comparing Greenbook and Reduced Form Forecasts using a Large Realtime Dataset," NBER Working Papers 13397, National Bureau of Economic Research, Inc.
  311. Bai, Jushan & Ando, Tomohiro, 2013. "Panel data models with grouped factor structure under unknown group membership," MPRA Paper 52782, University Library of Munich, Germany.
  312. Mestekemper, Thomas & Kauermann, Göran & Smith, Michael S., 2013. "A comparison of periodic autoregressive and dynamic factor models in intraday energy demand forecasting," International Journal of Forecasting, Elsevier, vol. 29(1), pages 1-12.
  313. Kim, Young Se & Rous, Jeffrey J., 2012. "House price convergence: Evidence from US state and metropolitan area panels," Journal of Housing Economics, Elsevier, vol. 21(2), pages 169-186.
  314. Bai, Jushan & Ando, Tomohiro, 2013. "Multifactor asset pricing with a large number of observable risk factors and unobservable common and group-specific factors," MPRA Paper 52785, University Library of Munich, Germany, revised Dec 2013.
  315. Golinelli, Roberto & Parigi, Giuseppe, 2008. "Real-time squared: A real-time data set for real-time GDP forecasting," International Journal of Forecasting, Elsevier, vol. 24(3), pages 368-385.
  316. Jennifer Castle & David Hendry, 2013. "Forecasting and Nowcasting Macroeconomic Variables: A Methodological Overview," Economics Series Working Papers 674, University of Oxford, Department of Economics.
  317. Dagum, Estela Bee, 2010. "Business Cycles and Current Economic Analysis/Los ciclos económicos y el análisis económico actual," Estudios de Economía Aplicada, Estudios de Economía Aplicada, vol. 28, pages 577-594, Diciembre.
  318. Gregory Connor & Zhuo Chen & Robert A. Korajczyk, 2014. "A Performance Comparison of Large-n Factor Estimators," Economics, Finance and Accounting Department Working Paper Series n255-14.pdf, Department of Economics, Finance and Accounting, National University of Ireland - Maynooth.
  319. Anindya Banerjee & Massimiliano Marcellino & Igor Masten, 2004. "Forecasting Macroeconomic Variables for the Acceding Countries," Working Papers 260, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
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  321. Jon Faust & Abhishek Gupta, 2012. "Posterior Predictive Analysis for Evaluating DSGE Models," NBER Working Papers 17906, National Bureau of Economic Research, Inc.
  322. Victor Duarte & Carlos Carvalho & Tiago Berriel, 2013. "Monetary Policy, External Finance Dependence, and the Cross-section of Stock Returns: A FAVAR Approach," 2013 Meeting Papers 1214, Society for Economic Dynamics.
  323. Rotger, G.P. & Franses, Ph.H.B.F., 2006. "Forecasting high-frequency electricity demand with a diffusion index model," Econometric Institute Research Papers EI 2006-38, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
  324. Ombao, Hernando & Ringo Ho, Moon-ho, 2006. "Time-dependent frequency domain principal components analysis of multichannel non-stationary signals," Computational Statistics & Data Analysis, Elsevier, vol. 50(9), pages 2339-2360, May.
  325. Pedro Cerqueira, 2011. "How Pervasive is the World Business Cycle?," Open Economies Review, Springer, vol. 22(1), pages 119-142, February.
  326. Buchmann, Marco, 2011. "Corporate bond spreads and real activity in the euro area - Least Angle Regression forecasting and the probability of the recession," Working Paper Series 1286, European Central Bank.
  327. Ortega, Jose Antonio & Poncela, Pilar, 2005. "Joint forecasts of Southern European fertility rates with non-stationary dynamic factor models," International Journal of Forecasting, Elsevier, vol. 21(3), pages 539-550.
  328. Sieds, 2013. "Complete Volume LXVII n.2 2013," RIEDS - Rivista Italiana di Economia, Demografia e Statistica - Italian Review of Economics, Demography and Statistics, SIEDS Societa' Italiana di Economia Demografia e Statistica, vol. 0(2), pages 1-197, April-Jun.
  329. Andrew J. Patton & Allan Timmermann, 2008. "The Resolution of Macroeconomic Uncertainty: Evidence from Survey Forecast," CREATES Research Papers 2008-54, School of Economics and Management, University of Aarhus.
  330. McNown, Robert & Seip, Knut Lehre, 2011. "Periods and structural breaks in US economic history 1959-2007," Journal of Policy Modeling, Elsevier, vol. 33(2), pages 169-182, March.
  331. Charles Rahal, 2015. "House Price Forecasts with Factor Combinations," Discussion Papers 15-05, Department of Economics, University of Birmingham.
  332. Klomp, Jeroen & de Haan, Jakob, 2009. "Political institutions and economic volatility," European Journal of Political Economy, Elsevier, vol. 25(3), pages 311-326, September.
  333. Katarzyna Maciejowska & Rafal Weron, 2013. "Forecasting of daily electricity spot prices by incorporating intra-day relationships: Evidence form the UK power market," HSC Research Reports HSC/13/01, Hugo Steinhaus Center, Wroclaw University of Technology, revised 15 Apr 2013.
  334. Fotis Papailias & Dimitrios D. Thomakos, 2013. "The Baltic Dry Index: Cyclicalities, Forecasting and Hedging Strategies," Working Paper Series 65_13, The Rimini Centre for Economic Analysis.
  335. Song Song & Wolfgang K. Härdle & Ya'acov Ritov, 2010. "High Dimensional Nonstationary Time Series Modelling with Generalized Dynamic Semiparametric Factor Model," SFB 649 Discussion Papers SFB649DP2010-039, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
  336. E. Otranto, 2012. "Spillover Effects in the Volatility of Financial Markets," Working Paper CRENoS 201217, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
  337. Chalamandaris, Georgios & Tsekrekos, Andrianos E., 2011. "How important is the term structure in implied volatility surface modeling? Evidence from foreign exchange options," Journal of International Money and Finance, Elsevier, vol. 30(4), pages 623-640, June.
  338. Eric J. Bartelsman & Zoltan Wolf, 2009. "Forecasting Aggregate Productivity using Information from Firm-Level Data," Tinbergen Institute Discussion Papers 09-043/3, Tinbergen Institute.
  339. Scott Brave & R. Andrew Butters, 2012. "Diagnosing the Financial System: Financial Conditions and Financial Stress," International Journal of Central Banking, International Journal of Central Banking, vol. 8(2), pages 191-239, June.
  340. Adina Popescu & Alina Carare, 2011. "Monetary Policy and Risk-Premium Shocks in Hungary; Results from a Large Bayesian VAR," IMF Working Papers 11/259, International Monetary Fund.
  341. In Choi & Jorg Breitung, 2011. "Factor models," Working Papers 1121, Research Institute for Market Economy, Sogang University, revised Dec 2011.
  342. Proietti, Tommaso, 2010. "Trend Estimation," MPRA Paper 21607, University Library of Munich, Germany.
This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.