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

Citations for "Evaluating latent and observed factors in macroeconomics and finance"

by Bai, Jushan & Ng, Serena

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. Chen, Liang & Dolado, Juan Jose & Gonzalo, Jesus, 2011. "Detecting big structural breaks in large factor models," MPRA Paper 31344, University Library of Munich, Germany.
  2. Alvarez, Rocio & Camacho, Maximo & Pérez-Quirós, Gabriel, 2012. "Finite sample performance of small versus large scale dynamic factor models," CEPR Discussion Papers 8867, C.E.P.R. Discussion Papers.
  3. Eichengreen, Barry & Mody, Ashoka & Nedeljkovic, Milan & Sarno, Lucio, 2012. "How the Subprime Crisis went global: Evidence from bank credit default swap spreads," Journal of International Money and Finance, Elsevier, vol. 31(5), pages 1299-1318.
  4. repec:ebl:ecbull:v:3:y:2008:i:33:p:1-18 is not listed on IDEAS
  5. Eickmeier, Sandra, 2006. "Comovements and heterogeneity in the Comovements and heterogeneity in the dynamic factor model," Discussion Paper Series 1: Economic Studies 2006,31, Deutsche Bundesbank, Research Centre.
  6. Lima, Luiz Renato Regis de Oliveira & Issler, João Victor, 2007. "A Panel Data Approach to Economic Forecasting: The Bias-Corrected Average Forecast," Economics Working Papers (Ensaios Economicos da EPGE) 650, FGV/EPGE Escola Brasileira de Economia e Finanças, Getulio Vargas Foundation (Brazil).
  7. Atak, Alev & Kapetanios, George, 2013. "A factor approach to realized volatility forecasting in the presence of finite jumps and cross-sectional correlation in pricing errors," Economics Letters, Elsevier, vol. 120(2), pages 224-228.
  8. Huyn Hak Kim & Norman R. Swanson, 2011. "Forecasting Financial and Macroeconomic Variables Using Data Reduction Methods: New Empirical Evidence," Departmental Working Papers 201119, Rutgers University, Department of Economics.
  9. Emmanuel Dhyne & Catherine Fuss & Hashem Pesaran & Patrick Sevestre, 2006. "Lumpy price adjustments : a microeconometric analysis," Working Paper Research 100, National Bank of Belgium.
  10. Wu, Jianhong & Li, Jinchang, 2014. "Testing for individual and time effects in panel data models with interactive effects," Economics Letters, Elsevier, vol. 125(2), pages 306-310.
  11. 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).
  12. Chevallier, Julien, 2011. "Macroeconomics, finance, commodities: Interactions with carbon markets in a data-rich model," Economics Papers from University Paris Dauphine 123456789/5111, Paris Dauphine University.
  13. Kelly, Logan, 2007. "Measuring the Economic Stock of Money," MPRA Paper 4914, University Library of Munich, Germany.
  14. Araújo, Fabio & Issler, João Victor & Fernandes, Marcelo, 2005. "Estimating the Stochastic Discount Factor without a Utility Function," Economics Working Papers (Ensaios Economicos da EPGE) 583, FGV/EPGE Escola Brasileira de Economia e Finanças, Getulio Vargas Foundation (Brazil).
  15. 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.
  16. Niang, Abdou-Aziz & Diagne, Abdoulaye & Pichery, Marie-Claude, 2010. "Exploring the finance-real economy link in U.S.: Empirical evidence from Panel Unit Root and Cointegration Analysis," MPRA Paper 23531, University Library of Munich, Germany.
  17. Wagner, Martin, 2005. "On PPP, Unit Roots and Panels," Economics Series 176, Institute for Advanced Studies.
  18. Mariam Camarero & Estrella Gómez & Cecilio Tamarit, 2012. "The euro impact on trade. Long run evidence with structural breaks," ThE Papers 10/27, Department of Economic Theory and Economic History of the University of Granada..
  19. Chris Heaton & Paul Oslington, 2006. "Micro Vs Macro Explanations of Post-War US Unemployment Movements," Research Papers 0604, Macquarie University, Department of Economics.
  20. Mario J. Crucini & M. Ayhan Kose & Christopher Otrok, 2008. "What Are the Driving Forces of International Business Cycles?," Vanderbilt University Department of Economics Working Papers 0815, Vanderbilt University Department of Economics.
  21. Peter C.B. Phillips & Donggyu Sul, 2007. "Transition Modeling and Econometric Convergence Tests," Cowles Foundation Discussion Papers 1595, Cowles Foundation for Research in Economics, Yale University.
  22. Roberta Fiori & Simonetta Iannotti, 2010. "On the interaction between market and credit risk: a factor-augmented vector autoregressive (FAVAR) approach," Temi di discussione (Economic working papers) 779, Bank of Italy, Economic Research and International Relations Area.
  23. In Choi & Jorg Breitung, 2011. "Factor models," Working Papers 1121, Research Institute for Market Economy, Sogang University, revised Dec 2011.
  24. Abdullah Al-Hassan, 2009. "A Coincident Indicator of the Gulf Cooperation Council (GCC) Business Cycle," IMF Working Papers 09/73, International Monetary Fund.
  25. Chihwa Kao & Lorenzo Trapani & Giovanni Urga, 2006. "The Asymptotics for Panel Models with Common Shocks," Center for Policy Research Working Papers 77, Center for Policy Research, Maxwell School, Syracuse University.
  26. Fousekis, Panos, 2009. "Are Food Prices in the EU Converging? Empirical Evidence from the Log t Test," Economia Internazionale / International Economics, Camera di Commercio di Genova, vol. 62(4), pages 407-423.
  27. Norman R. Swanson & Nii Ayi Armah, 2011. "Seeing Inside the Black Box: Using Diffusion Index Methodology to Construct Factor Proxies in Largescale Macroeconomic Time Series Environments," Departmental Working Papers 201105, Rutgers University, Department of Economics.
  28. M. J. Herrerias & Javier Ordoñez, 2011. "New Evidence on the Role of Regional Clusters and Convergence in China (1952-2008)," Working Papers 2011/07, Economics Department, Universitat Jaume I, Castellón (Spain).
  29. Nii Ayi Armah & Norman Swanson, 2011. "Some variables are more worthy than others: new diffusion index evidence on the monitoring of key economic indicators," Applied Financial Economics, Taylor & Francis Journals, vol. 21(1-2), pages 43-60.
  30. Su, Liangjun & Jin, Sainan & Zhang, Yonghui, 2015. "Specification test for panel data models with interactive fixed effects," Journal of Econometrics, Elsevier, vol. 186(1), pages 222-244.
  31. Castagnetti, Carolina & Rossi, Eduardo, 2008. "Estimation methods in panel data models with observed and unobserved components: a Monte Carlo study," MPRA Paper 26196, University Library of Munich, Germany.
  32. Wei-Choun Yu, 2008. "Macroeconomic and financial market volatilities: an empirical evidence of factor model," Economics Bulletin, AccessEcon, vol. 3(33), pages 1-18.
  33. Eickmeier, Sandra & Gambacorta, Leonardo & Hofmann, Boris, 2014. "Understanding global liquidity," European Economic Review, Elsevier, vol. 68(C), pages 1-18.
  34. Owyang, Michael T. & Rapach, David E. & Wall, Howard J., 2009. "States and the business cycle," Journal of Urban Economics, Elsevier, vol. 65(2), pages 181-194, March.
  35. 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.
  36. Heij, Christiaan & van Dijk, Dick & Groenen, Patrick J.F., 2008. "Macroeconomic forecasting with matched principal components," International Journal of Forecasting, Elsevier, vol. 24(1), pages 87-100.
  37. Lin, Jianhao & Wang, Meijin & Cai, Lingfeng, 2012. "Are the Fama–French factors good proxies for latent risk factors? Evidence from the data of SHSE in China," Economics Letters, Elsevier, vol. 116(2), pages 265-268.
  38. Bianco, Dominique & Niang, Abdou-Aziz, 2012. "On international spillovers," Economics Letters, Elsevier, vol. 117(1), pages 280-282.
  39. Goyal, Amit & Pérignon, Christophe & Villa, Christophe, 2008. "How common are common return factors across the NYSE and Nasdaq?," Journal of Financial Economics, Elsevier, vol. 90(3), pages 252-271, December.
  40. Eric Bataille & Catherine Bruneau & Frederic Michaud, 2007. "Business cycle and corporate failure in France: Is there a link?," Computational Economics, Society for Computational Economics, vol. 29(2), pages 173-197, March.
  41. Chen, Liang, 2012. "Identifying observed factors in approximate factor models: estimation and hypothesis testing," MPRA Paper 37514, University Library of Munich, Germany.
  42. Herrerias, M.J., 2013. "The environmental convergence hypothesis: Carbon dioxide emissions according to the source of energy," Energy Policy, Elsevier, vol. 61(C), pages 1140-1150.
  43. Esther Ruiz & Pilar Poncela, 2015. "Small versus big-data factor extraction in Dynamic Factor Models: An empirical assessment," Statistics and Econometrics Working Papers ws1502, Universidad Carlos III, Departamento de Estadística y Econometría.
  44. Trapani, Lorenzo, 2013. "On bootstrapping panel factor series," Journal of Econometrics, Elsevier, vol. 172(1), pages 127-141.
  45. Eickmeier, Sandra, 2005. "Common stationary and non-stationary factors in the euro area analyzed in a large-scale factor model," Discussion Paper Series 1: Economic Studies 2005,02, Deutsche Bundesbank, Research Centre.
  46. Kuersteiner, Guido M. & Prucha, Ingmar R., 2013. "Limit theory for panel data models with cross sectional dependence and sequential exogeneity," Journal of Econometrics, Elsevier, vol. 174(2), pages 107-126.
  47. Cecilio R. Tamarit Escalona & Estrella Gómez, 2011. "The euro effect on trade: evidence in gravity equations using panel cointegration techniques," Working Papers. Serie EC 2011-07, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.