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Implications of Dynamic Factor Models for VAR Analysis

Citations

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Cited by:

  1. De Simone, Francisco Nadal, 2024. "The transmission of U.S. monetary policy to small open economies," Journal of International Money and Finance, Elsevier, vol. 142(C).
  2. Derek Bunn, Julien Chevallier, Yannick Le Pen, and Benoit Sevi, 2017. "Fundamental and Financial Influences on the Co-movement of Oil and Gas Prices," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
  3. Mayer, Alexander & Wied, Dominik, 2023. "Estimation and inference in factor copula models with exogenous covariates," Journal of Econometrics, Elsevier, vol. 235(2), pages 1500-1521.
  4. Kabundi, Alain & De Simone, Francisco Nadal, 2022. "Euro area banking and monetary policy shocks in the QE era," Journal of Financial Stability, Elsevier, vol. 63(C).
  5. Vasiliki Chatzikonstanti & Michail Karoglou, 2022. "Can black swans be tamed with a flexible mean‐variance specification?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(3), pages 3202-3227, July.
  6. Sandra Eickmeier & Boris Hofmann, 2022. "What drives inflation? Disentangling demand and supply factors," BIS Working Papers 1047, Bank for International Settlements.
  7. Potjagailo, Galina & Wolters, Maik H., 2023. "Global financial cycles since 1880," Journal of International Money and Finance, Elsevier, vol. 131(C).
  8. Michael Pfarrhofer, 2024. "Forecasts with Bayesian vector autoregressions under real time conditions," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(3), pages 771-801, April.
  9. Guglielmo Maria Caporale & Luis Alberiko Gil-Alana & Pedro Jose Piqueras Martinez, 2024. "Dynamic Factor Models and Fractional Integration—With an Application to US Real Economic Activity," Econometrics, MDPI, vol. 12(4), pages 1-14, December.
  10. Dimitris Korobilis & Maximilian Schroder, 2023. "Monitoring multicountry macroeconomic risk," Papers 2305.09563, arXiv.org.
  11. Ard H. J. den Reijer & Pieter W. Otter & Jan P. A. M. Jacobs, 2024. "An heuristic scree plot criterion for the number of factors," Statistical Papers, Springer, vol. 65(6), pages 3991-4000, August.
  12. Sarferaz, Samad & Uebele, Martin, 2009. "Tracking down the business cycle: A dynamic factor model for Germany 1820-1913," Explorations in Economic History, Elsevier, vol. 46(3), pages 368-387, July.
  13. Karen Miranda & Pilar Poncela & Esther Ruiz, 2022. "Dynamic factor models: Does the specification matter?," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 13(1), pages 397-428, May.
  14. Fornero, Jorge & Kirchner, Markus & Molina, Carlos, 2024. "Estimating shadow policy rates in a small open economy and the role of foreign factors," Journal of International Money and Finance, Elsevier, vol. 140(C).
  15. van Os, Bram & van Dijk, Dick, 2024. "Accelerating peak dating in a dynamic factor Markov-switching model," International Journal of Forecasting, Elsevier, vol. 40(1), pages 313-323.
  16. Freyaldenhoven, Simon, 2022. "Factor models with local factors — Determining the number of relevant factors," Journal of Econometrics, Elsevier, vol. 229(1), pages 80-102.
  17. Halil Ibrahim Gunduz & Furkan Emirmahmutoglu & M. Eray Yucel, 2025. "A New Look at Cross-Country Aggregation in the Global VAR Approach: Theory and Monte Carlo Simulation," Computational Economics, Springer;Society for Computational Economics, vol. 65(1), pages 21-67, January.
  18. Herath, H.M. Wiranthe B. & Samadi, S. Yaser, 2025. "Scaled envelope models for multivariate time series," Journal of Multivariate Analysis, Elsevier, vol. 205(C).
  19. Alina Stundziene & Vaida Pilinkiene & Jurgita Bruneckiene & Andrius Grybauskas & Mantas Lukauskas & Irena Pekarskiene, 2024. "Future directions in nowcasting economic activity: A systematic literature review," Journal of Economic Surveys, Wiley Blackwell, vol. 38(4), pages 1199-1233, September.
  20. Korobilis, Dimitris, 2022. "A new algorithm for structural restrictions in Bayesian vector autoregressions," European Economic Review, Elsevier, vol. 148(C).
  21. Lütkepohl, Helmut, 2014. "Structural vector autoregressive analysis in a data rich environment: A survey," SFB 649 Discussion Papers 2014-004, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
  22. Forni, Mario & Gambetti, Luca & Lippi, Marco & Sala, Luca, 2020. "Common Component Structural VARs," CEPR Discussion Papers 15529, C.E.P.R. Discussion Papers.
  23. Vicente Esteve & María A. Prats, 2023. "External sustainability in Spanish economy: Bubbles and crises, 1970–2020," Review of International Economics, Wiley Blackwell, vol. 31(1), pages 60-80, February.
  24. Maxime Leroux & Rachidi Kotchoni & Dalibor Stevanovic, 2017. "Forecasting economic activity in data-rich environment," EconomiX Working Papers 2017-5, University of Paris Nanterre, EconomiX.
  25. António Rua & Francisco Craveiro Dias, 2014. "Forecasting Portuguese GDP with factor models," Economic Bulletin and Financial Stability Report Articles and Banco de Portugal Economic Studies, Banco de Portugal, Economics and Research Department.
  26. Liu, Yang & Swanson, Norman R., 2024. "An assessment of the marginal predictive content of economic uncertainty indexes and business conditions predictors," International Journal of Forecasting, Elsevier, vol. 40(4), pages 1391-1409.
  27. Krampe, J. & Paparoditis, E. & Trenkler, C., 2023. "Structural inference in sparse high-dimensional vector autoregressions," Journal of Econometrics, Elsevier, vol. 234(1), pages 276-300.
  28. Philipp Gersing & Matteo Barigozzi & Christoph Rust & Manfred Deistler, 2023. "The Canonical Decomposition of Factor Models: Weak Factors are Everywhere," Papers 2307.10067, arXiv.org, revised Feb 2025.
  29. Chen, Bin-xia & Sun, Yan-lin, 2022. "The impact of VIX on China’s financial market: A new perspective based on high-dimensional and time-varying methods," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
  30. Juan Manuel Candelo-Viafara & Andrés Oviedo-Gómez, 2021. "La tasa de cambio y sus impactos en los agregados económicos colombianos: una aproximación FAVAR," Revista Facultad de Ciencias Económicas, Universidad Militar Nueva Granada, vol. 29(2), pages 121-142, October.
  31. Vrinda Gupta & Amlendu Dubey, 2024. "US monetary policy, the global financial cycle and cross-country financial cycles," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 48(4), pages 999-1019, December.
  32. Nuno Lourenço & Francisco Dias & António Rua, 2018. "Forecasting exports with targeted predictors," Economic Bulletin and Financial Stability Report Articles and Banco de Portugal Economic Studies, Banco de Portugal, Economics and Research Department.
  33. Yohei Yamamoto & Naoko Hara, 2022. "Identifying factor‐augmented vector autoregression models via changes in shock variances," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(4), pages 722-745, June.
  34. Olfa Kaabia & Ilyes Abid & Khaled Guesmi, 2012. "Does Bayesian Shrinkage Help to Better Reflect What Happened during the Subprime Crisis?," Working Papers hal-04141032, HAL.
  35. Andrea Carriero & Francesco Corsello & Massimiliano Marcellino, 2022. "The global component of inflation volatility," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(4), pages 700-721, June.
  36. Gao, Zhaoxing & Tsay, Ruey S., 2023. "A Two-Way Transformed Factor Model for Matrix-Variate Time Series," Econometrics and Statistics, Elsevier, vol. 27(C), pages 83-101.
  37. Ritschl, Albrecht & Ahmadi, Pooyan Amir, 2009. "Depression Econometrics: A FAVAR Model of Monetary Policy During the Great Depression," CEPR Discussion Papers 7546, C.E.P.R. Discussion Papers.
  38. Kwas, Marek & Paccagnini, Alessia & Rubaszek, Michał, 2022. "Common factors and the dynamics of cereal prices. A forecasting perspective," Journal of Commodity Markets, Elsevier, vol. 28(C).
  39. Bruno Albuquerque & Martin Iseringhausen & Frederic Opitz, 2024. "The Housing Supply Channel of Monetary Policy," IMF Working Papers 2024/023, International Monetary Fund.
  40. Meg Tulloch, "undated". "Nowcasting and Forecasting Average Weekly Earnings in the United Kingdom," National Institute of Economic and Social Research (NIESR) Discussion Papers 565, National Institute of Economic and Social Research.
  41. Szydlo, Jan, 2023. "Forecasting Credit Dynamics : VAR, VECM or modern Factor-Augmented VAR approach?," Warwick-Monash Economics Student Papers 63, Warwick Monash Economics Student Papers.
  42. Dhital, Saroj & Jiang, Senyuan & Reese, Jillian, 2023. "Effects of monetary and government spending policy on economic inequality," Journal of Macroeconomics, Elsevier, vol. 77(C).
  43. Casarin, Roberto & Grassi, Stefano & Ravazzolo, Francesco & van Dijk, Herman K., 2023. "A flexible predictive density combination for large financial data sets in regular and crisis periods," Journal of Econometrics, Elsevier, vol. 237(2).
  44. KOCAK, Necmettin Alpay, 2021. "The Impacts Of Speeches On Nowcasting Gdp: A Case Study On Euro Area Markets," Studii Financiare (Financial Studies), Centre of Financial and Monetary Research "Victor Slavescu", vol. 25(1), pages 6-29, March.
  45. Luca Margaritella & Joakim Westerlund, 2023. "Using information criteria to select averages in CCE," The Econometrics Journal, Royal Economic Society, vol. 26(3), pages 405-421.
  46. Joaqui-Barandica, Orlando & Manotas-Duque, Diego F. & Uribe, Jorge M., 2022. "Commonality, macroeconomic factors and banking profitability," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
  47. Iglesias, Emma M., 2022. "The influence of extreme events such as Brexit and Covid-19 on equity markets," Journal of Policy Modeling, Elsevier, vol. 44(2), pages 418-430.
  48. Philippe Goulet Coulombe & Maximilian Gobel, 2020. "Arctic Amplification of Anthropogenic Forcing: A Vector Autoregressive Analysis," Papers 2005.02535, arXiv.org, revised Mar 2021.
  49. Delphine Lahet & Stéphanie Prat, 2023. "Local-currency debt and currency internationalization dynamics: A nonlinear framework," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 159(1), pages 215-254, February.
  50. Hande Karabiyik & Joakim Westerlund, 2021. "Forecasting using cross-section average–augmented time series regressions," The Econometrics Journal, Royal Economic Society, vol. 24(2), pages 315-333.
  51. Daoui Marouane, 2023. "Macroeconomic Forecasting using Dynamic Factor Models: The Case of Morocco," Papers 2302.14180, arXiv.org, revised May 2023.
  52. Ruofan Yu & Rong Chen & Han Xiao & Yuefeng Han, 2024. "Dynamic Matrix Factor Models for High Dimensional Time Series," Papers 2407.05624, arXiv.org.
  53. Tan, Xueping & Sirichand, Kavita & Vivian, Andrew & Wang, Xinyu, 2022. "Forecasting European carbon returns using dimension reduction techniques: Commodity versus financial fundamentals," International Journal of Forecasting, Elsevier, vol. 38(3), pages 944-969.
  54. Klieber, Karin, 2024. "Non-linear dimension reduction in factor-augmented vector autoregressions," Journal of Economic Dynamics and Control, Elsevier, vol. 159(C).
  55. Karim Barhoumi & Olivier Darné & Laurent Ferrara, 2014. "Dynamic factor models: A review of the literature," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2013(2), pages 73-107.
  56. Marouane Daoui, 2023. "Econometric assessment of the monetary policy shocks in Morocco: Evidence from a Bayesian Factor-Augmented VAR," Papers 2302.14114, arXiv.org.
  57. Lukas Berend & Jan Pruser, 2024. "The Transmission of Monetary Policy via Common Cycles in the Euro Area," Papers 2410.05741, arXiv.org, revised Nov 2024.
  58. Roberto Casarin & Stefano Grassi & Francesco Ravazzolo & Herman van Dijk, 2022. "A Flexible Predictive Density Combination Model for Large Financial Data Sets in Regular and Crisis Periods," Tinbergen Institute Discussion Papers 22-013/III, Tinbergen Institute.
  59. Congregado, Emilio & Esteve, Vicente, 2022. "Cointegration with structural changes and classical model of inflation in Spain, 1830–1998," Structural Change and Economic Dynamics, Elsevier, vol. 60(C), pages 376-388.
  60. Francisco Craveiro Dias & Maximiano Pinheiro & António Rua, 2016. "A bottom-up approach for forecasting GDP in a data rich environment," Economic Bulletin and Financial Stability Report Articles and Banco de Portugal Economic Studies, Banco de Portugal, Economics and Research Department.
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