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Small Sample Properties of Forecasts From Autoregressive Models Under Structural Breaks

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Cited by:

  1. Bates, Brandon J. & Plagborg-Møller, Mikkel & Stock, James H. & Watson, Mark W., 2013. "Consistent factor estimation in dynamic factor models with structural instability," Journal of Econometrics, Elsevier, vol. 177(2), pages 289-304.
  2. Rossi, Barbara, 2013. "Advances in Forecasting under Instability," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 1203-1324, Elsevier.
  3. Guillaume Chevillon, 2006. "Multi-step Forecasting in Unstable Economies: Robustness Issues in the Presence of Location Shifts," Economics Series Working Papers 257, University of Oxford, Department of Economics.
  4. Galvão, Ana Beatriz, 2013. "Changes in predictive ability with mixed frequency data," International Journal of Forecasting, Elsevier, vol. 29(3), pages 395-410.
  5. Aslan, Alper & Destek, Mehmet Akif & Okumus, İlyas, 2017. "Sectoral carbon emissions and economic growth in the US: Further evidence from rolling window estimation method," MPRA Paper 106961, University Library of Munich, Germany.
  6. Ke Yang & Langnan Chen & Fengping Tian, 2015. "Realized Volatility Forecast of Stock Index Under Structural Breaks," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 34(1), pages 57-82, January.
  7. Khan, Khalid & SU, Chi-Wei & Khurshid, Adnan & Rehman, Ashfaq U., 2018. "How Often Does the Exchange Rate Granger Cause the Stock Market in Pakistan? A Bootstrap Rolling Window Approach," Asian Journal of Applied Economics, Kasetsart University, Center for Applied Economics Research, vol. 25(1), October.
  8. Chen, Yan & Zhang, Ruiqian & Lyu, Jiayi & Ma, Xin, 2024. "The butterfly effect of cloud computing on the low-carbon economy," Technological Forecasting and Social Change, Elsevier, vol. 204(C).
  9. Sun, Yanpeng & Song, Yuru & Long, Chi & Qin, Meng & Lobonţ, Oana-Ramona, 2023. "How to improve global environmental governance? Lessons learned from climate risk and climate policy uncertainty," Economic Analysis and Policy, Elsevier, vol. 80(C), pages 1666-1676.
  10. Florian Heinen & Philipp Sibbertsen & Robinson Kruse, 2009. "Forecasting long memory time series under a break in persistence," CREATES Research Papers 2009-53, Department of Economics and Business Economics, Aarhus University.
  11. Mehmet Balcilar & Rangan Gupta & Nico Frederick Katzke, 2015. "Identifying Periods of US Housing Market Explosivity," Working Papers 15-03, Eastern Mediterranean University, Department of Economics.
  12. Ha, Jongrim & Kose, M. Ayhan & Ohnsorge, Franziska, 2023. "One-stop source: A global database of inflation," Journal of International Money and Finance, Elsevier, vol. 137(C).
  13. Qin, Meng & Su, Chi-Wei & Lobonţ, Oana-Ramona & Umar, Muhammad, 2023. "Blockchain: A carbon-neutral facilitator or an environmental destroyer?," International Review of Economics & Finance, Elsevier, vol. 86(C), pages 604-615.
  14. Tae‐Hwy Lee & Shahnaz Parsaeian & Aman Ullah, 2022. "Forecasting Under Structural Breaks Using Improved Weighted Estimation," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(6), pages 1485-1501, December.
  15. Karanasos, Menelaos & Paraskevopoulos,Alexandros & Canepa, Alessandra, 2020. "Unified Theory for the Large Family of Time Varying Models with Arma Representations: One Solution Fits All," Department of Economics and Statistics Cognetti de Martiis. Working Papers 202008, University of Turin.
  16. Ghosh, Taniya & Bhadury, Soumya, 2018. "Money's causal role in exchange rate: Do divisia monetary aggregates explain more?," International Review of Economics & Finance, Elsevier, vol. 57(C), pages 402-417.
  17. Wang, Xinghua & Lee, Zhengzheng & Wu, Shuang & Qin, Meng, 2023. "Exploring the vital role of geopolitics in the oil market: The case of Russia," Resources Policy, Elsevier, vol. 85(PB).
  18. Martin Kalthaus, 2020. "Knowledge recombination along the technology life cycle," Journal of Evolutionary Economics, Springer, vol. 30(3), pages 643-704, July.
  19. Wang, Kai-Hua & Liu, Lu & Li, Xin & Oana-Ramona, Lobonţ, 2022. "Do oil price shocks drive unemployment? Evidence from Russia and Canada," Energy, Elsevier, vol. 253(C).
  20. David E. Rapach & Jack K. Strauss, 2008. "Structural breaks and GARCH models of exchange rate volatility," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(1), pages 65-90.
  21. Nyakabawo, Wendy & Miller, Stephen M. & Balcilar, Mehmet & Das, Sonali & Gupta, Rangan, 2015. "Temporal causality between house prices and output in the US: A bootstrap rolling-window approach," The North American Journal of Economics and Finance, Elsevier, vol. 33(C), pages 55-73.
  22. Luca Nocciola, 2022. "Finite Sample Forecast Properties and Window Length Under Breaks in Cointegrated Systems," Advances in Econometrics, in: Essays in Honor of M. Hashem Pesaran: Prediction and Macro Modeling, volume 43, pages 167-196, Emerald Group Publishing Limited.
  23. Tom Boot & Andreas Pick, 2017. "A near optimal test for structural breaks when forecasting under square error loss," Tinbergen Institute Discussion Papers 17-039/III, Tinbergen Institute.
  24. Andrea Carriero & George Kapetanios & Massimiliano Marcellino, 2011. "Forecasting large datasets with Bayesian reduced rank multivariate models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 26(5), pages 735-761, August.
  25. M. Hashem Pesaran, 2021. "General diagnostic tests for cross-sectional dependence in panels," Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
  26. Hu, Junjie & López Cabrera, Brenda & Melzer, Awdesch, 2021. "Advanced statistical learning on short term load process forecasting," IRTG 1792 Discussion Papers 2021-020, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
  27. Liu, Guan-Chun & Lee, Chien-Chiang & Lee, Chi-Chuan, 2016. "The nexus between insurance activity and economic growth: A bootstrap rolling window approach," International Review of Economics & Finance, Elsevier, vol. 43(C), pages 299-319.
  28. Laura Carabotta & Peter Claeys, 2024. "Combine to compete: Improving fiscal forecast accuracy over time," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(4), pages 948-982, July.
  29. Zhang, Xiaojing & Chang, Hsu-Ling & Su, Chi-Wei & Qin, Meng & Umar, Muhammad, 2024. "Exploring the dynamic interaction between geopolitical risks and lithium prices: A time-varying analysis," Resources Policy, Elsevier, vol. 90(C).
  30. Caterina Forti Grazzini & Massimo Guidolin, 2013. "Forecasting yield spreads under crisis-induced multiple breakpoints," Applied Economics Letters, Taylor & Francis Journals, vol. 20(18), pages 1656-1664, December.
  31. Lee, Junsoo & List, John A. & Strazicich, Mark C., 2006. "Non-renewable resource prices: Deterministic or stochastic trends?," Journal of Environmental Economics and Management, Elsevier, vol. 51(3), pages 354-370, May.
  32. Pierre Salmon, 2003. "The assignment of powers in an open-ended European Union," Post-Print hal-00445601, HAL.
  33. Wang, Cindy Shin-Huei & Bauwens, Luc & Hsiao, Cheng, 2013. "Forecasting a long memory process subject to structural breaks," Journal of Econometrics, Elsevier, vol. 177(2), pages 171-184.
  34. Zhao, Qian & Qin, Chuan & Ding, Longfei & Cheng, Ying-Yue & Vătavu, Sorana, 2023. "Can green bond improve the investment efficiency of renewable energy?," Energy Economics, Elsevier, vol. 127(PB).
  35. Giorgio Canarella & Rangan Gupta & Stephen M. Miller & Stephen K. Pollard, 2019. "Unemployment rate hysteresis and the great recession: exploring the metropolitan evidence," Empirical Economics, Springer, vol. 56(1), pages 61-79, January.
  36. Ilham Haouas & Naceur Kheraief & Arusha Cooray & Syed Jawad Hussain Shahzad, 2019. "Time-Varying Casual Nexuses Between Remittances and Financial Development in Some MENA Countries," Working Papers 1294, Economic Research Forum, revised 2019.
  37. Qin, Meng & Hu, Wei & Qi, Xinzhou & Chang, Tsangyao, 2024. "Do the benefits outweigh the disadvantages? Exploring the role of artificial intelligence in renewable energy," Energy Economics, Elsevier, vol. 131(C).
  38. Hännikäinen Jari, 2017. "Selection of an Estimation Window in the Presence of Data Revisions and Recent Structural Breaks," Journal of Econometric Methods, De Gruyter, vol. 6(1), pages 1-22, January.
  39. Pesaran, M.H. & Pick, A. & Timmermann, A., 2009. "Variable Selection and Inference for Multi-period Forecasting Problems," Cambridge Working Papers in Economics 0901, Faculty of Economics, University of Cambridge.
  40. M. Hashem Pesaran & Davide Pettenuzzo & Allan Timmermann, 2006. "Forecasting Time Series Subject to Multiple Structural Breaks," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 73(4), pages 1057-1084.
  41. Adnan Khurshid & Yin Kedong & Adrian Cantemir Calin & Khalid Khan, 2017. "The Effects of Workers’ Remittances on Exchange Rate Volatility and Exports Dynamics - New Evidence from Pakistan," Romanian Economic Journal, Department of International Business and Economics from the Academy of Economic Studies Bucharest, vol. 20(63), pages 29-52, March.
  42. Yifei Cai, 2018. "Predictive Power of us Monetary Policy Uncertainty Shock on Stock Returns in Australia and New Zealand," Australian Economic Papers, Wiley Blackwell, vol. 57(4), pages 470-488, December.
  43. Geweke, John F. & Horowitz, Joel L. & Pesaran, M. Hashem, 2006. "Econometrics: A Bird's Eye View," IZA Discussion Papers 2458, Institute of Labor Economics (IZA).
  44. Kai-Hua WANG & Chi-Wei SU & Hsu-Ling CHANG & Ji MA & Cristina IOVU, 2017. "Purchasing Power Parity In China: An Empirical Investigation Based On Bootstrap Rollingwindow Test," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 166-181, December.
  45. Galvão, Ana Beatriz, 2013. "Changes in predictive ability with mixed frequency data," International Journal of Forecasting, Elsevier, vol. 29(3), pages 395-410.
  46. Tomiwa Sunday Adebayo & Kelvin Onyibor & Gbenga Daniel Akinsola, 2021. "The impact of major macroeconomic variables on foreign direct investment in Nigeria: evidence from a wavelet coherence technique," SN Business & Economics, Springer, vol. 1(1), pages 1-24, January.
  47. Cai, Yifei, 2016. "短期资本流动、经济政策不确定性与恐慌指数—基于时变分析框架下的研究 [Short-term Capital Flow, Economic Policy Uncertainty and VIX—Evidence from a Time-varying Analysis Framework]," MPRA Paper 73213, University Library of Munich, Germany.
  48. Li Qiang & Wang Liming & Qiu Fei, 2015. "Detecting the Structural Breaks in GARCH Models Based on Bayesian Method: The Case of China Share Index Rate of Return," Journal of Systems Science and Information, De Gruyter, vol. 3(4), pages 321-333, August.
  49. Wei Su, Chi & Wang, Xiao-Qing & Tao, Ran & Oana-Ramona, Lobonţ, 2019. "Do oil prices drive agricultural commodity prices? Further evidence in a global bio-energy context," Energy, Elsevier, vol. 172(C), pages 691-701.
  50. Sultan Mehmood, 2014. "Terrorism and the macroeconomy: Evidence from Pakistan," Defence and Peace Economics, Taylor & Francis Journals, vol. 25(5), pages 509-534, October.
  51. Tsangyao Chang & Su-Ling Tsai & Kai-yin Allison Haga, 2017. "Uncovering the interrelationship between the U.S. stock and housing markets: a bootstrap rolling window Granger causality approach," Applied Economics, Taylor & Francis Journals, vol. 49(58), pages 5841-5848, December.
  52. Qin, Meng & Su, Yun Hsuan & Zhao, Zhengtang & Mirza, Nawazish, 2023. "The politics of climate: Does factionalism impede U.S. carbon neutrality?," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 954-966.
  53. Jari Hännikäinen, 2014. "Multi-step forecasting in the presence of breaks," Working Papers 1494, Tampere University, Faculty of Management and Business, Economics.
  54. Dervis Kirikkaleli & Hasan Güngör & Tomiwa Sunday Adebayo, 2022. "Consumption‐based carbon emissions, renewable energy consumption, financial development and economic growth in Chile," Business Strategy and the Environment, Wiley Blackwell, vol. 31(3), pages 1123-1137, March.
  55. Goodness C. Aye & Mehmet Balcilar & Rangan Gupta, 2017. "International stock return predictability: Is the role of U.S. time-varying?," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 44(1), pages 121-146, February.
  56. Sun, Ji-Le & Tao, Ran & Wang, Jiao & Wang, Yi-Fei & Li, Jia-Yi, 2024. "Do farmers always choose agricultural insurance against climate change risks?," Economic Analysis and Policy, Elsevier, vol. 81(C), pages 617-628.
  57. Ballinari, Daniele & Behrendt, Simon, 2020. "Structural breaks in online investor sentiment: A note on the nonstationarity of financial chatter," Finance Research Letters, Elsevier, vol. 35(C).
  58. Antoine Mandel & Amir Sani, 2016. "Learning Time-Varying Forecast Combinations," Documents de travail du Centre d'Economie de la Sorbonne 16036r, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne, revised Sep 2016.
  59. Antoine Mandel & Amir Sani, 2017. "A Machine Learning Approach to the Forecast Combination Puzzle," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01317974, HAL.
  60. Fokin, Nikita, 2021. "The importance of modeling structural breaks in forecasting Russian GDP," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 63, pages 5-29.
  61. Mehmet Balcilar & Rangan Gupta & Charl Jooste & Omid Ranjbar, 2015. "Characterising the South African Business Cycle: Is GDP Difference-Stationary or Trend-Stationary in a Markov-Switching Setup?," Working Papers 15-04, Eastern Mediterranean University, Department of Economics.
  62. Asif Raihan, 2023. "An econometric evaluation of the effects of economic growth, energy use, and agricultural value added on carbon dioxide emissions in Vietnam," Asia-Pacific Journal of Regional Science, Springer, vol. 7(3), pages 665-696, September.
  63. Barrera, Carlos, 2013. "El sistema de predicción desagregada: Una evaluación de las proyecciones de inflación 2006-2011," Working Papers 2013-009, Banco Central de Reserva del Perú.
  64. Su, Chi-Wei & Qin, Meng & Tao, Ran & Umar, Muhammad, 2020. "Financial implications of fourth industrial revolution: Can bitcoin improve prospects of energy investment?," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
  65. 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.
  66. Timmermann, Allan, 2006. "Forecast Combinations," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 1, chapter 4, pages 135-196, Elsevier.
  67. Su, Chi-Wei & Qin, Meng & Tao, Ran & Shao, Xue-Feng & Albu, Lucian Liviu & Umar, Muhammad, 2020. "Can Bitcoin hedge the risks of geopolitical events?," Technological Forecasting and Social Change, Elsevier, vol. 159(C).
  68. Zhao, Qian & Ding, Longfei & Pirtea, Marilen Gabriel & Vǎtavu, Sorana, 2023. "Does technological innovation bring better air quality?," Economic Analysis and Policy, Elsevier, vol. 80(C), pages 978-990.
  69. Cheng, Xian & Wu, Peng & Liao, Stephen Shaoyi & Wang, Xuelian, 2023. "An integrated model for crude oil forecasting: Causality assessment and technical efficiency," Energy Economics, Elsevier, vol. 117(C).
  70. Shahzad, Syed Jawad Hussain & Nor, Safwan Mohd & Hammoudeh, Shawkat & Shahbaz, Muhammad, 2017. "Directional and bidirectional causality between U.S. industry credit and stock markets and their determinants," International Review of Economics & Finance, Elsevier, vol. 47(C), pages 46-61.
  71. Antonakakis, Nikolaos & Dragouni, Mina & Filis, George, 2015. "How strong is the linkage between tourism and economic growth in Europe?," Economic Modelling, Elsevier, vol. 44(C), pages 142-155.
  72. Su, Chi Wei & Song, Xin Yue & Qin, Meng & Lobonţ, Oana-Ramona, 2024. "Is copper a safe haven for oil?," Resources Policy, Elsevier, vol. 91(C).
  73. Khalid Khan & Jiluo Sun & Sinem Derindere Koseoglu & Ashfaq U. Rehman, 2021. "Revisiting Bitcoin Price Behavior Under Global Economic Uncertainty," SAGE Open, , vol. 11(3), pages 21582440211, August.
  74. Felix Nutakor & Sylvestre Bizumuremyi & Jinke Li & Wei Liu, 2020. "Does the Environmental Kuznets Curve for CO 2 Emissions Exist for Rwanda? Evidence from Bootstrapped Rolling-Window Granger Causality Test," Sustainability, MDPI, vol. 12(20), pages 1-11, October.
  75. Jennifer Castle & David Hendry, 2012. "Forecasting by factors, by variables, or both?," Economics Series Working Papers 600, University of Oxford, Department of Economics.
  76. Su, Chi Wei & Shao, Xuefeng & Jia, Zhijie & Nepal, Rabindra & Umar, Muhammad & Qin, Meng, 2023. "The rise of green energy metal: Could lithium threaten the status of oil?," Energy Economics, Elsevier, vol. 121(C).
  77. Qin, Meng & Su, Chi-Wei & Tao, Ran, 2021. "BitCoin: A new basket for eggs?," Economic Modelling, Elsevier, vol. 94(C), pages 896-907.
  78. Muhammad Irfan & Tomiwa Sunday Adebayo & Jinyang Cai & Hazar Dördüncü & Farrukh Shahzad, 2024. "Analyzing the mechanism between nuclear energy consumption and carbon emissions: Fresh insights from novel bootstrap rolling-window approach," Energy & Environment, , vol. 35(2), pages 754-778, March.
  79. Chang, Ming-Jen & Su, Che-Yi, 2014. "The dynamic relationship between exchange rates and macroeconomic fundamentals: Evidence from Pacific Rim countries," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 30(C), pages 220-246.
  80. Alessandra Canepa, & Karanasos, Menelaos & Paraskevopoulos, Athanasios & Chini, Emilio Zanetti, 2022. "Forecasting Ination: A GARCH-in-Mean-Level Model with Time Varying Predictability," Department of Economics and Statistics Cognetti de Martiis. Working Papers 202212, University of Turin.
  81. Carriero, A. & Kapetanios, G. & Marcellino, M., 2009. "Forecasting exchange rates with a large Bayesian VAR," International Journal of Forecasting, Elsevier, vol. 25(2), pages 400-417.
  82. Liu, Jing & Ma, Feng & Yang, Ke & Zhang, Yaojie, 2018. "Forecasting the oil futures price volatility: Large jumps and small jumps," Energy Economics, Elsevier, vol. 72(C), pages 321-330.
  83. Chevillon, Guillaume, 2016. "Multistep forecasting in the presence of location shifts," International Journal of Forecasting, Elsevier, vol. 32(1), pages 121-137.
  84. Ran Tao & Oana Ramona Glonț & Zheng-Zheng Li & Oana Ramona Lobonț & Adina Alexandra Guzun, 2020. "New Evidence for Romania Regarding Dynamic Causality between Military Expenditure and Sustainable Economic Growth," Sustainability, MDPI, vol. 12(12), pages 1-13, June.
  85. Kong, Fanna & Gao, Zhuoqiong & Oprean-Stan, Camelia, 2023. "Green bond in China: An effective hedge against global supply chain pressure?," Energy Economics, Elsevier, vol. 128(C).
  86. Shi, Guangping & Liu, Xiaoxing & Zhang, Xu, 2017. "Time-varying causality between stock and housing markets in China," Finance Research Letters, Elsevier, vol. 22(C), pages 227-232.
  87. Cai, Yifei, 2016. "货币供给数量、结构与经济增长—来自adl门限协整检验与时变格兰杰因果关系检验的证据 [Quantity and Structure of Money Supply and Economic Growth— Evidence from ADL Test for Threshold Cointegration and Time-varying Granger Causality Relation," MPRA Paper 73750, University Library of Munich, Germany.
  88. Mehmet Balcilar & Rangan Gupta & Stephen M. Miller, 2014. "Housing and the Great Depression," Applied Economics, Taylor & Francis Journals, vol. 46(24), pages 2966-2981, August.
  89. Pesaran, M. Hashem & Pick, Andreas & Pranovich, Mikhail, 2013. "Optimal forecasts in the presence of structural breaks," Journal of Econometrics, Elsevier, vol. 177(2), pages 134-152.
  90. Wang, Kai-Hua & Wen, Cui-Ping & Liu, Hong-Wen & Liu, Lu, 2023. "Promotion or hindrance? Exploring the bidirectional causality between geopolitical risk and green bonds from an energy perspective," Resources Policy, Elsevier, vol. 85(PB).
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  96. Chi-Wei Su & Jiao-Jiao Fan & Hsu-Ling Chang & Xiao-Lin Li, 2016. "Is there Causal Relationship between Money Supply Growth and Inflation in China? Evidence from Quantity Theory of Money," Review of Development Economics, Wiley Blackwell, vol. 20(3), pages 702-719, August.
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  98. 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.
  99. Aye, Goodness C. & Balcilar, Mehmet & Bosch, Adél & Gupta, Rangan, 2014. "Housing and the business cycle in South Africa," Journal of Policy Modeling, Elsevier, vol. 36(3), pages 471-491.
  100. Menelaos Karanasos & Alexandros Paraskevopoulos & Faek Menla Ali & Michail Karoglou & Stavroula Yfanti, 2014. "Modelling Returns and Volatilities During Financial Crises: a Time Varying Coefficient Approach," Papers 1403.7179, arXiv.org.
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  102. Tae-Hwy Lee & Shahnaz Parsaeian & Aman Ullah, 2022. "Efficient Combined Estimation under Structural Breaks," Advances in Econometrics, in: Essays in Honor of M. Hashem Pesaran: Prediction and Macro Modeling, volume 43, pages 119-142, Emerald Group Publishing Limited.
  103. Xiao-Lin Li & Yi-Na Li & Lu Bai, 2019. "Stock Market Cycle and Business Cycle in China: Evidence from a Bootstrap Rolling Window Approach," Review of Economics & Finance, Better Advances Press, Canada, vol. 17, pages 35-50, August.
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  107. Su, Chi-Wei & Wang, Dan & Mirza, Nawazish & Zhong, Yifan & Umar, Muhammad, 2023. "The impact of consumer confidence on oil prices," Energy Economics, Elsevier, vol. 124(C).
  108. Khan, Khalid & Khurshid, Adnan & Cifuentes-Faura, Javier, 2023. "Energy security analysis in a geopolitically volatile world: A causal study," Resources Policy, Elsevier, vol. 83(C).
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  110. Carriero, A. & Kapetanios, G. & Marcellino, M., 2009. "Forecasting exchange rates with a large Bayesian VAR," International Journal of Forecasting, Elsevier, vol. 25(2), pages 400-417.
  111. Yongchen Zhao, 2021. "The robustness of forecast combination in unstable environments: a Monte Carlo study of advanced algorithms," Empirical Economics, Springer, vol. 61(1), pages 173-199, July.
  112. Mehmet Balcilar & Zeynel Ozdemir, 2013. "The export-output growth nexus in Japan: a bootstrap rolling window approach," Empirical Economics, Springer, vol. 44(2), pages 639-660, April.
  113. Su, Chi-Wei & Li, Wenhao & Umar, Muhammad & Lobonţ, Oana-Ramona, 2022. "Can green credit reduce the emissions of pollutants?," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 205-219.
  114. Chevillon, Guillaume, 2009. "Multi-step forecasting in emerging economies: An investigation of the South African GDP," International Journal of Forecasting, Elsevier, vol. 25(3), pages 602-628, July.
  115. Jennifer L. Castle & Jurgen A. Doornik & David F. Hendry, 2024. "Forecasting the UK top 1% income share in a shifting world," Economica, London School of Economics and Political Science, vol. 91(363), pages 1047-1074, July.
  116. Caio Almeida & Kym Ardison & Daniela Kubudi & Axel Simonsen & José Vicente, 2018. "Forecasting Bond Yields with Segmented Term Structure Models," Journal of Financial Econometrics, Oxford University Press, vol. 16(1), pages 1-33.
  117. Goodness C. Aye & Mehmet Balcilar & John P. Dunne & Rangan Gupta & Rene� van Eyden, 2014. "Military expenditure, economic growth and structural instability: a case study of South Africa," Defence and Peace Economics, Taylor & Francis Journals, vol. 25(6), pages 619-633, December.
  118. Khalid KHAN & Chi-Wei SU & Nicoleta - Claudia MOLDOVAN & De-Ping XIONG, 2017. "Distinctive Characteristics of the Causality between the PPI and CPI: Evidence from Romania," ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, Faculty of Economic Cybernetics, Statistics and Informatics, vol. 51(2), pages 103-123.
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