IDEAS home Printed from https://ideas.repec.org/r/eee/ecolet/v100y2008i2p208-212.html
   My bibliography  Save this item

Measuring business cycles: A wavelet analysis of economic time series

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Lubos Hanus & Lukas Vacha, 2015. "Business cycle synchronization of the Visegrad Four and the European Union," Working Papers IES 2015/19, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Jul 2015.
  2. Kožić, Ivan & Sever, Ivan, 2014. "Measuring business cycles: Empirical Mode Decomposition of economic time series," Economics Letters, Elsevier, vol. 123(3), pages 287-290.
  3. Ibrahim Ahamada & Philippe Jolivaldt, 2010. "Classical vs wavelet-based filters Comparative study and application to business cycle," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00476022, HAL.
  4. Lubos Hanus & Lukas Vacha, 2015. "Business cycle synchronization within the European Union: A wavelet cohesion approach," Papers 1506.03106, arXiv.org, revised Feb 2016.
  5. Crowley, Patrick M., 2010. "Long cycles in growth : explorations using new frequency domain techniques with US data," Research Discussion Papers 6/2010, Bank of Finland.
  6. Ardila, Diego & Sornette, Didier, 2016. "Dating the financial cycle with uncertainty estimates: a wavelet proposition," Finance Research Letters, Elsevier, vol. 19(C), pages 298-304.
  7. Maissa Elmrabet & Boulila Ghazi, 2018. "Causality deficit-inflation : wavelet transform," Working Papers hal-01941464, HAL.
  8. Luboš Hanus & Lukáš Vácha, 2020. "Growth cycle synchronization of the Visegrad Four and the European Union," Empirical Economics, Springer, vol. 58(4), pages 1779-1795, April.
  9. Benhmad, François, 2013. "Dynamic cyclical comovements between oil prices and US GDP: A wavelet perspective," Energy Policy, Elsevier, vol. 57(C), pages 141-151.
  10. Michis, Antonis A., 2014. "Time scale evaluation of economic forecasts," Economics Letters, Elsevier, vol. 123(3), pages 279-281.
  11. Madaleno, Mara & Pinho, Carlos, 2014. "Wavelet dynamics for oil-stock world interactions," Energy Economics, Elsevier, vol. 45(C), pages 120-133.
  12. Aloui, Chaker & Hkiri, Besma & Nguyen, Duc Khuong, 2016. "Real growth co-movements and business cycle synchronization in the GCC countries: Evidence from time-frequency analysis," Economic Modelling, Elsevier, vol. 52(PB), pages 322-331.
  13. Olaolu Richard Olayeni, 2016. "Causality in Continuous Wavelet Transform Without Spectral Matrix Factorization: Theory and Application," Computational Economics, Springer;Society for Computational Economics, vol. 47(3), pages 321-340, March.
  14. Rania Jammazi & Duc Khuong Nguyen, 2017. "Estimating and forecasting portfolio’s Value-at-Risk with wavelet-based extreme value theory: Evidence from crude oil prices and US exchange rates," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(11), pages 1352-1362, November.
  15. Stelios Bekiros & Jose Arreola Hernandez & Gazi Salah Uddin & Ahmed Taneem Muzaffar, 2020. "On the predictability of crude oil market: A hybrid multiscale wavelet approach," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(4), pages 599-614, July.
  16. Crowley, Patrick M., 2010. "Long cycles in growth: explorations using new frequency domain techniques with US data," Bank of Finland Research Discussion Papers 6/2010, Bank of Finland.
  17. Cifter, Atilla & Yilmazer, Sait & Cifter, Elif, 2009. "Analysis of sectoral credit default cycle dependency with wavelet networks: Evidence from Turkey," Economic Modelling, Elsevier, vol. 26(6), pages 1382-1388, November.
  18. de Carvalho, Miguel & Rodrigues, Paulo C. & Rua, António, 2012. "Tracking the US business cycle with a singular spectrum analysis," Economics Letters, Elsevier, vol. 114(1), pages 32-35.
  19. Joanna Bruzda, 2011. "Business cycle synchronization according to wavelets – the case of Poland and the euro zone member countries," Bank i Kredyt, Narodowy Bank Polski, vol. 42(3), pages 5-32.
  20. Alqaralleh, Huthaifa & Canepa, Alessandra & Chini, Zanetti, 2021. "Financial Contagion During the Covid-19 Pandemic: A Wavelet-Copula-GARCH Approach," Department of Economics and Statistics Cognetti de Martiis. Working Papers 202110, University of Turin.
  21. Tiwari, Aviral Kumar & Mukherjee, Zinnia & Gupta, Rangan & Balcilar, Mehmet, 2019. "A wavelet analysis of the relationship between oil and natural gas prices," Resources Policy, Elsevier, vol. 60(C), pages 118-124.
  22. Christophe Boucher & Bertrand Maillet, 2011. "Une analyse temps-fréquences des cycles financiers," Revue économique, Presses de Sciences-Po, vol. 62(3), pages 441-450.
  23. repec:dau:papers:123456789/6515 is not listed on IDEAS
  24. Rua, António, 2010. "Measuring comovement in the time-frequency space," Journal of Macroeconomics, Elsevier, vol. 32(2), pages 685-691, June.
  25. Gazi Salah Uddin & Aviral Kumar Tiwari, 2013. "Measuring co-movement of oil price and exchange rate differential in Bangladesh," Economics Bulletin, AccessEcon, vol. 33(3), pages 1922-1930.
  26. Jitka Pomenkova & Eva Klejmova & Zuzana Kucerova, 2019. "Cyclicality in lending activity of Euro area in pre- and post- 2008 crisis: a local-adaptive-based testing of wavelets," Baltic Journal of Economics, Baltic International Centre for Economic Policy Studies, vol. 19(1), pages 155-175.
  27. Rua, António & Nunes, Luis C., 2012. "A wavelet-based assessment of market risk: The emerging markets case," The Quarterly Review of Economics and Finance, Elsevier, vol. 52(1), pages 84-92.
  28. S. AL Wadi & Ghassan Obeidat, 2018. "Detecting the Fluctuations in Large Samples Using Wavelet Transform," Modern Applied Science, Canadian Center of Science and Education, vol. 12(12), pages 245-245, December.
  29. Rémi Odry & Roman Mestre, 2021. "Monetary Policy and Business Cycle Synchronization in Europe," Working Papers hal-04159759, HAL.
  30. Roman Marsalek & Jitka Pomenkova & Svatopluk Kapounek, 2014. "A Wavelet-Based Approach to Filter Out Symmetric Macroeconomic Shocks," Computational Economics, Springer;Society for Computational Economics, vol. 44(4), pages 477-488, December.
  31. Nigatu, Getachew & Adjemian, Michael K., 2016. "The U.S. Role in the Price Determination of Major Agricultural Commodities," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236045, Agricultural and Applied Economics Association.
  32. repec:zbw:bofrdp:2010_006 is not listed on IDEAS
  33. Zuzana Kucerova & Jitka Pomenkova, 2014. "Financial and Trade Integration of Selected EU Regions: Dynamic Correlation and Wavelet Approach," MENDELU Working Papers in Business and Economics 2014-45, Mendel University in Brno, Faculty of Business and Economics.
  34. Muhammad Nadim Hanif & Sajjad Zaheer & Javed Iqbal, 2022. "Time-Frequency Analysis of Determinants of Inflation Rate in Pakistan," SBP Working Paper Series 111, State Bank of Pakistan, Research Department.
  35. Huang, Yuting & Li, Qiang & Liow, Kim Hiang & Zhou, Xiaoxia, 2020. "Is Housing the Business Cycle? A Multiresolution Analysis for OECD Countries," Journal of Housing Economics, Elsevier, vol. 49(C).
  36. Hassan Farazmand & Amin Mansouri & Morteza Afghah, 2014. "Choosing the best type of wavelet: Case study-business cycle in Iran," Asian Journal of Empirical Research, Asian Economic and Social Society, vol. 4(5), pages 293-314, May.
  37. Caraiani, Petre, 2012. "Money and output: New evidence based on wavelet coherence," Economics Letters, Elsevier, vol. 116(3), pages 547-550.
  38. Yoshito Funashima, 2018. "Macroeconomic policy coordination between Japanese central and local governments," Empirical Economics, Springer, vol. 54(4), pages 1631-1651, June.
  39. Ibrahim Ahamada & Philippe Jolivaldt, 2010. "Classical vs wavelet-based filters Comparative study and application to business cycle," Post-Print halshs-00476022, HAL.
  40. Reboredo, Juan C. & Rivera-Castro, Miguel A., 2014. "Wavelet-based evidence of the impact of oil prices on stock returns," International Review of Economics & Finance, Elsevier, vol. 29(C), pages 145-176.
  41. Xiao Jing Cai & Zheng Fang & Youngho Chang & Shuairu Tian & Shigeyuki Hamori, 2020. "Co-movements in commodity markets and implications in diversification benefits," Empirical Economics, Springer, vol. 58(2), pages 393-425, February.
  42. Chiara Perricone, 2018. "Wavelet analysis for temporal disaggregation," CEIS Research Paper 444, Tor Vergata University, CEIS, revised 29 Oct 2018.
  43. Kang, Byoung Uk & In, Francis & Kim, Tong Suk, 2017. "Timescale betas and the cross section of equity returns: Framework, application, and implications for interpreting the Fama–French factors," Journal of Empirical Finance, Elsevier, vol. 42(C), pages 15-39.
  44. Lu Han & Ruihuan Ge, 2017. "Wavelets Analysis on Structural Model for Default Prediction," Computational Economics, Springer;Society for Computational Economics, vol. 50(1), pages 111-140, June.
  45. António Rua & Artur Silva Lopes, 2015. "Cohesion within the euro area and the US: A wavelet-based view," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2014(2), pages 63-76.
  46. Chentong Sun & Naiqian Li, 2023. "Extracting business cycles with three filters: A comparative study and application in the case of China," Bulletin of Economic Research, Wiley Blackwell, vol. 75(2), pages 254-269, April.
  47. Muhammad Nadim Hanif & Javaid Iqbal & Syed Hamza Ali & Muhammad Abdus Salam, 2020. "Denoised Inflation: A New Measure of Core Inflation," Journal of Central Banking Theory and Practice, Central bank of Montenegro, vol. 9(2), pages 131-154.
  48. Funashima, Yoshito, 2014. "Macroeconomic policy coordination between Japanese central and local governments," MPRA Paper 59821, University Library of Munich, Germany.
  49. Haniff, Norazza Mohd & Masih, Mansur, 2016. "Shariah stocks as an inflation hedge in Malaysia," MPRA Paper 71681, University Library of Munich, Germany.
  50. Luís Aguiar-Conraria & Pedro Brinca & Haukur Viðar Guðjónsson & Maria Joana Soares, 2015. "Optimum Currency Area and Business Cycle Synchronization Across U.S. States," NIPE Working Papers 1/2015, NIPE - Universidade do Minho.
  51. Antonis A Michis, 2011. "Denoised least squars forecasting of GDP changes using indexes of consumer and business sentiment," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Proceedings of the IFC Conference on "Initiatives to address data gaps revealed by the financial crisis", Basel, 25-26 August 2010, volume 34, pages 383-392, Bank for International Settlements.
  52. António Rua, 2011. "A wavelet approach for factor‐augmented forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 30(7), pages 666-678, November.
  53. Bruzda, Joanna, 2011. "Some aspects of the discrete wavelet analysis of bivariate spectra for business cycle synchronisation," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 5, pages 1-46.
  54. Valentina Aprigliano, 2020. "A large Bayesian VAR with a block‐specific shrinkage: A forecasting application for Italian industrial production," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(8), pages 1291-1304, December.
  55. Crowley, Patrick M. & Hughes Hallett, Andrew, 2015. "Great moderation or “Will o’ the Wisp”? A time–frequency decomposition of GDP for the US and UK," Journal of Macroeconomics, Elsevier, vol. 44(C), pages 82-97.
  56. Luís Aguiar-Conraria & Maria Joana Soares, 2014. "The Continuous Wavelet Transform: Moving Beyond Uni- And Bivariate Analysis," Journal of Economic Surveys, Wiley Blackwell, vol. 28(2), pages 344-375, April.
  57. Sun, Xiaolei & Chen, Xiuwen & Wang, Jun & Li, Jianping, 2020. "Multi-scale interactions between economic policy uncertainty and oil prices in time-frequency domains," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
  58. Harald Schmidbauer & Angi Rösch & Erhan Uluceviz, 2012. "Connectedness Cycles in Equity Markets: A Wavelet Approach," EcoMod2012 4502, EcoMod.
  59. Bruzda Joanna, 2015. "Amplitude and phase synchronization of European business cycles: a wavelet approach," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 19(5), pages 625-655, December.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.