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Patrick Matthew Crowley

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Crowley, Patrick M. & Hudgins, David, 2019. "U.S. Macroeconomic Policy Evaluation in an Open Economy Context using Wavelet Decomposed Optimal Control Methods," Bank of Finland Research Discussion Papers 11/2019, Bank of Finland.

    Cited by:

    1. Crowley, Patrick M. & Hughes Hallett, Andrew, 2019. "The evolution of US and UK GDP components in the time-frequency domain: A continuous wavelet analysis," Bank of Finland Research Discussion Papers 23/2019, Bank of Finland.

  2. Patrick Matthew Crowley & David Hudgins, 2017. "Evaluating South African Fiscal and Monetary Policy Using a Wavelet-Based Model," School of Economics Macroeconomic Discussion Paper Series 2017-08, School of Economics, University of Cape Town.

    Cited by:

    1. Ying Fan & Abdullah Yavas, 2023. "Price Dynamics in Public and Private Commercial Real Estate Markets," The Journal of Real Estate Finance and Economics, Springer, vol. 67(1), pages 150-190, July.
    2. Hudgins, David & Crowley, Patrick M., 2017. "Modelling a small open economy using a wavelet-based control model," Bank of Finland Research Discussion Papers 32/2017, Bank of Finland.

  3. Crowley, Patrick M. & Hudgins, David, 2016. "Analysis of the balance between U.S. monetary and fiscal policy using simulated wavelet-based optimal tracking control," Bank of Finland Research Discussion Papers 21/2016, Bank of Finland.

    Cited by:

    1. Dalia Mansour-Ibrahim, 2023. "Are the Eurozone Financial and Business Cycles Convergent Across Time and Frequency?," Computational Economics, Springer;Society for Computational Economics, vol. 61(1), pages 389-427, January.

  4. Crowley, Patrick M. & Hudgins, David, 2015. "Euro area monetary and fiscal policy tracking design in the time-frequency domain," Bank of Finland Research Discussion Papers 12/2015, Bank of Finland.

    Cited by:

    1. Daron Acemoglu & Ufuk Akcigit & Douglas Hanley & William R. Kerr, 2014. "Transition to Clean Technology," Harvard Business School Working Papers 15-045, Harvard Business School.
    2. Kerr, William R. & Nanda, Ramana, 2015. "Financing innovation," Bank of Finland Research Discussion Papers 28/2015, Bank of Finland.

  5. Crowley, Patrick M. & Hudgins, David, 2015. "Euro area monetary and fiscal policy tracking design in the time-frequency domain," Bank of Finland Research Discussion Papers 12/2015, Bank of Finland.

    Cited by:

    1. Daron Acemoglu & Ufuk Akcigit & Douglas Hanley & William R. Kerr, 2014. "Transition to Clean Technology," Harvard Business School Working Papers 15-045, Harvard Business School.
    2. Kerr, William R. & Nanda, Ramana, 2015. "Financing innovation," Bank of Finland Research Discussion Papers 28/2015, Bank of Finland.

  6. Crowley, Patrick M. & Hudgins, David, 2014. "Fiscal policy tracking design in the time frequency domain using wavelet analysis," Bank of Finland Research Discussion Papers 32/2014, Bank of Finland.

    Cited by:

    1. Huang, Shupei & An, Haizhong & Wen, Shaobo & An, Feng, 2017. "Revisiting driving factors of oil price shocks across time scales," Energy, Elsevier, vol. 139(C), pages 617-629.
    2. Patrick M. Crowley & David Hudgins, 2022. "Monetary policy objectives and economic outcomes: What can we learn from a wavelet‐based optimal control approach?," Manchester School, University of Manchester, vol. 90(2), pages 144-170, March.
    3. Crowley, Patrick M. & Hudgins, David, 2016. "Analysis of the balance between U.S. monetary and fiscal policy using simulated wavelet-based optimal tracking control," Bank of Finland Research Discussion Papers 21/2016, Bank of Finland.
    4. Patrick M. Crowley & David Hudgins, 2018. "What is the right balance between US monetary and fiscal policy? Explorations using simulated wavelet-based optimal tracking control," Empirical Economics, Springer, vol. 55(4), pages 1537-1568, December.
    5. Crowley, Patrick M. & Hudgins, David, 2015. "Euro area monetary and fiscal policy tracking design in the time-frequency domain," Bank of Finland Research Discussion Papers 12/2015, Bank of Finland.
    6. Hudgins, David & Crowley, Patrick M., 2017. "Modelling a small open economy using a wavelet-based control model," Bank of Finland Research Discussion Papers 32/2017, Bank of Finland.
    7. Power, Gabriel J. & Eaves, James & Turvey, Calum & Vedenov, Dmitry, 2017. "Catching the curl: Wavelet thresholding improves forward curve modelling," Economic Modelling, Elsevier, vol. 64(C), pages 312-321.
    8. Hathroubi, Salem & Aloui, Chaker, 2022. "Oil price dynamics and fiscal policy cyclicality in Saudi Arabia: New evidence from partial and multiple wavelet coherences," The Quarterly Review of Economics and Finance, Elsevier, vol. 85(C), pages 149-160.
    9. Patrick M. Crowley & David Hudgins, 2021. "Okun’s law revisited in the time–frequency domain: introducing unemployment into a wavelet-based control model," Empirical Economics, Springer, vol. 61(5), pages 2635-2662, November.
    10. Funashima Yoshito, 2021. "Time–Frequency Regression," Journal of Econometric Methods, De Gruyter, vol. 10(1), pages 21-32, January.
    11. David Hudgins & Patrick M. Crowley, 2019. "Stress-Testing U.S. Macroeconomic Policy: A Computational Approach Using Stochastic and Robust Designs in a Wavelet-Based Optimal Control Framework," Computational Economics, Springer;Society for Computational Economics, vol. 53(4), pages 1509-1546, April.
    12. António Rua, 2016. "A wavelet-based multivariate multiscale approach for forecasting," Working Papers w201612, Banco de Portugal, Economics and Research Department.
    13. Crowley, Patrick M. & Hudgins, David, 2019. "U.S. Macroeconomic Policy Evaluation in an Open Economy Context using Wavelet Decomposed Optimal Control Methods," Bank of Finland Research Discussion Papers 11/2019, Bank of Finland.
    14. Fousekis, Panos & Grigoriadis, Vasilis, 2016. "Spatial price dependence by time scale: Empirical evidence from the international butter markets," Economic Modelling, Elsevier, vol. 54(C), pages 195-204.
    15. Crowley, Patrick M. & Hudgins, David, 2020. "How effective is the Taylor rule? Some insights from the time-frequency domain," BoF Economics Review 1/2020, Bank of Finland.

  7. Crowley, Patrick M. & Hudgins, David, 2014. "Fiscal policy tracking design in the time frequency domain using wavelet analysis," Bank of Finland Research Discussion Papers 32/2014, Bank of Finland.

    Cited by:

    1. Huang, Shupei & An, Haizhong & Wen, Shaobo & An, Feng, 2017. "Revisiting driving factors of oil price shocks across time scales," Energy, Elsevier, vol. 139(C), pages 617-629.
    2. Patrick M. Crowley & David Hudgins, 2022. "Monetary policy objectives and economic outcomes: What can we learn from a wavelet‐based optimal control approach?," Manchester School, University of Manchester, vol. 90(2), pages 144-170, March.
    3. Crowley, Patrick M. & Hudgins, David, 2016. "Analysis of the balance between U.S. monetary and fiscal policy using simulated wavelet-based optimal tracking control," Bank of Finland Research Discussion Papers 21/2016, Bank of Finland.
    4. Patrick M. Crowley & David Hudgins, 2018. "What is the right balance between US monetary and fiscal policy? Explorations using simulated wavelet-based optimal tracking control," Empirical Economics, Springer, vol. 55(4), pages 1537-1568, December.
    5. Crowley, Patrick M. & Hudgins, David, 2015. "Euro area monetary and fiscal policy tracking design in the time-frequency domain," Bank of Finland Research Discussion Papers 12/2015, Bank of Finland.
    6. Hudgins, David & Crowley, Patrick M., 2017. "Modelling a small open economy using a wavelet-based control model," Bank of Finland Research Discussion Papers 32/2017, Bank of Finland.
    7. Power, Gabriel J. & Eaves, James & Turvey, Calum & Vedenov, Dmitry, 2017. "Catching the curl: Wavelet thresholding improves forward curve modelling," Economic Modelling, Elsevier, vol. 64(C), pages 312-321.
    8. Hathroubi, Salem & Aloui, Chaker, 2022. "Oil price dynamics and fiscal policy cyclicality in Saudi Arabia: New evidence from partial and multiple wavelet coherences," The Quarterly Review of Economics and Finance, Elsevier, vol. 85(C), pages 149-160.
    9. Patrick M. Crowley & David Hudgins, 2021. "Okun’s law revisited in the time–frequency domain: introducing unemployment into a wavelet-based control model," Empirical Economics, Springer, vol. 61(5), pages 2635-2662, November.
    10. Funashima Yoshito, 2021. "Time–Frequency Regression," Journal of Econometric Methods, De Gruyter, vol. 10(1), pages 21-32, January.
    11. David Hudgins & Patrick M. Crowley, 2019. "Stress-Testing U.S. Macroeconomic Policy: A Computational Approach Using Stochastic and Robust Designs in a Wavelet-Based Optimal Control Framework," Computational Economics, Springer;Society for Computational Economics, vol. 53(4), pages 1509-1546, April.
    12. António Rua, 2016. "A wavelet-based multivariate multiscale approach for forecasting," Working Papers w201612, Banco de Portugal, Economics and Research Department.
    13. Crowley, Patrick M. & Hudgins, David, 2019. "U.S. Macroeconomic Policy Evaluation in an Open Economy Context using Wavelet Decomposed Optimal Control Methods," Bank of Finland Research Discussion Papers 11/2019, Bank of Finland.
    14. Fousekis, Panos & Grigoriadis, Vasilis, 2016. "Spatial price dependence by time scale: Empirical evidence from the international butter markets," Economic Modelling, Elsevier, vol. 54(C), pages 195-204.
    15. Crowley, Patrick M. & Hudgins, David, 2020. "How effective is the Taylor rule? Some insights from the time-frequency domain," BoF Economics Review 1/2020, Bank of Finland.

  8. Crowley, Patrick M. & Garcia, Enrique & Chee-Heong, Quah, 2013. "Is Europe growing together or growing apart?," Bank of Finland Research Discussion Papers 33/2013, Bank of Finland.

    Cited by:

    1. Campos, Nauro F. & Macchiarelli, Corrado, 2021. "The dynamics of core and periphery in the European monetary union: a new approach," LSE Research Online Documents on Economics 113423, London School of Economics and Political Science, LSE Library.
    2. Abban, Stanley, 2020. "Currency Union as a Panacea for ills in Africa: A New Institutional Framework and Theoretical Consideration," MPRA Paper 105459, University Library of Munich, Germany.

  9. Crowley, Patrick M. & Hallett, Andrew Hughes, 2011. "The great moderation under the microscope: decomposition of macroeconomic cycles in US and UK aggregate demand," Bank of Finland Research Discussion Papers 13/2011, Bank of Finland.

    Cited by:

    1. Crowley, Patrick M. & Hudgins, David, 2016. "Analysis of the balance between U.S. monetary and fiscal policy using simulated wavelet-based optimal tracking control," Bank of Finland Research Discussion Papers 21/2016, Bank of Finland.
    2. Patrick M. Crowley & David Hudgins, 2018. "What is the right balance between US monetary and fiscal policy? Explorations using simulated wavelet-based optimal tracking control," Empirical Economics, Springer, vol. 55(4), pages 1537-1568, December.
    3. Wen-Yi Chen & Yai-Wun Liang & Yu-Hui Lin, 2018. "Does Health Spending Crowd out Defense in the United States? Evidence from Wavelet Multiresolution Analysis," Defence and Peace Economics, Taylor & Francis Journals, vol. 29(7), pages 780-793, November.
    4. 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.
    5. Vassilios Babalos & Guglielmo Maria Caporale & Nicola Spagnolo, 2016. "Equity Fund Flows and Stock Market Returns in the US before and after the Global Financial Crisis: A VAR-GARCH-in-mean Analysis," CESifo Working Paper Series 5932, CESifo.
    6. Crowley, Patrick M. & Hudgins, David, 2014. "Fiscal policy tracking design in the time frequency domain using wavelet analysis," Bank of Finland Research Discussion Papers 32/2014, Bank of Finland.
    7. Crowley, Patrick M. & Hudgins, David, 2017. "Wavelet-based monetary and fiscal policy in the Euro area," Journal of Policy Modeling, Elsevier, vol. 39(2), pages 206-231.
    8. Fousekis, Panos & Grigoriadis, Vasilis, 2016. "Spatial price dependence by time scale: Empirical evidence from the international butter markets," Economic Modelling, Elsevier, vol. 54(C), pages 195-204.

  10. Crowley, Patrick M. & Hallett, Andrew Hughes, 2011. "The great moderation under the microscope: decomposition of macroeconomic cycles in US and UK aggregate demand," Bank of Finland Research Discussion Papers 13/2011, Bank of Finland.

    Cited by:

    1. Crowley, Patrick M. & Hudgins, David, 2016. "Analysis of the balance between U.S. monetary and fiscal policy using simulated wavelet-based optimal tracking control," Bank of Finland Research Discussion Papers 21/2016, Bank of Finland.
    2. Patrick M. Crowley & David Hudgins, 2018. "What is the right balance between US monetary and fiscal policy? Explorations using simulated wavelet-based optimal tracking control," Empirical Economics, Springer, vol. 55(4), pages 1537-1568, December.
    3. Wen-Yi Chen & Yai-Wun Liang & Yu-Hui Lin, 2018. "Does Health Spending Crowd out Defense in the United States? Evidence from Wavelet Multiresolution Analysis," Defence and Peace Economics, Taylor & Francis Journals, vol. 29(7), pages 780-793, November.
    4. 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.
    5. Vassilios Babalos & Guglielmo Maria Caporale & Nicola Spagnolo, 2016. "Equity Fund Flows and Stock Market Returns in the US before and after the Global Financial Crisis: A VAR-GARCH-in-mean Analysis," CESifo Working Paper Series 5932, CESifo.
    6. Crowley, Patrick M. & Hudgins, David, 2014. "Fiscal policy tracking design in the time frequency domain using wavelet analysis," Bank of Finland Research Discussion Papers 32/2014, Bank of Finland.
    7. Crowley, Patrick M. & Hudgins, David, 2017. "Wavelet-based monetary and fiscal policy in the Euro area," Journal of Policy Modeling, Elsevier, vol. 39(2), pages 206-231.
    8. Fousekis, Panos & Grigoriadis, Vasilis, 2016. "Spatial price dependence by time scale: Empirical evidence from the international butter markets," Economic Modelling, Elsevier, vol. 54(C), pages 195-204.

  11. 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.

    Cited by:

    1. Crowley, Patrick M. & Hudgins, David, 2015. "Euro area monetary and fiscal policy tracking design in the time-frequency domain," Bank of Finland Research Discussion Papers 12/2015, Bank of Finland.
    2. 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.

  12. Crowley, Patrick & Aaron, Schultz, 2010. "A New Approach to Analyzing Convergence and Synchronicity in Growth and Business Cycles: Cross Recurrence Plots and Quantification Analysis," MPRA Paper 23728, University Library of Munich, Germany.

    Cited by:

    1. Ashe, Sinéad & Egan, Paul, 2023. "Examining financial and business cycle interaction using cross recurrence plot analysis," Finance Research Letters, Elsevier, vol. 51(C).
    2. de Lucas-Santos, Sonia & Delgado-Rodríguez, María Jesús & Cabezas-Ares, Alfredo, 2021. "Cyclical convergence in per capita carbon dioxide emission in US states: A dynamic unobserved component approach," Energy, Elsevier, vol. 217(C).
    3. Orlando, Giuseppe & Zimatore, Giovanna, 2018. "Recurrence quantification analysis of business cycles," Chaos, Solitons & Fractals, Elsevier, vol. 110(C), pages 82-94.

  13. 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.

    Cited by:

    1. Crowley, Patrick M. & Hudgins, David, 2015. "Euro area monetary and fiscal policy tracking design in the time-frequency domain," Bank of Finland Research Discussion Papers 12/2015, Bank of Finland.
    2. 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.

  14. Crowley, Patrick M. & Schildt, Tony, 2009. "An analysis of the embedded frequency content of macroeconomic indicators and their counterparts using the Hilbert-Huang transform," Bank of Finland Research Discussion Papers 33/2009, Bank of Finland.

    Cited by:

    1. Crowley, Patrick M. & Hallett, Andrew Hughes, 2018. "What causes business cycles to elongate, or recessions to intensify?," Journal of Macroeconomics, Elsevier, vol. 57(C), pages 338-349.

  15. Crowley, Patrick M. & Maraun, Douglas & Mayes, David, 2006. "How hard is the euro area core? An evaluation of growth cycles using wavelet analysis," Bank of Finland Research Discussion Papers 18/2006, Bank of Finland.

    Cited by:

    1. David G. Mayes & Vesa Korhonen, 2006. "The CIS: Does the Regional Hegemony Facilitate Monetary Integration?," Economie Internationale, CEPII research center, issue 107, pages 173-196.

  16. Crowley, Patrick M. & Lee, Jim, 2005. "Decomposing the co-movement of the business cycle: a time-frequency analysis of growth cycles in the euro area," Bank of Finland Research Discussion Papers 12/2005, Bank of Finland.

    Cited by:

    1. 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.
    2. Crowley, Patrick M. & Hudgins, David, 2015. "Euro area monetary and fiscal policy tracking design in the time-frequency domain," Bank of Finland Research Discussion Papers 12/2015, Bank of Finland.
    3. Crowley, Patrick M. & Maraun, Douglas & Mayes, David, 2006. "How hard is the euro area core? An evaluation of growth cycles using wavelet analysis," Bank of Finland Research Discussion Papers 18/2006, Bank of Finland.
    4. Crowley, Patrick M., 2008. "One money, several cycles? Evaluation of European business cycles using model-based cluster analysis," Bank of Finland Research Discussion Papers 3/2008, Bank of Finland.

  17. Crowley, Patrick M., 2005. "An intuitive guide to wavelets for economists," Bank of Finland Research Discussion Papers 1/2005, Bank of Finland.

    Cited by:

    1. Bilgili, Faik & Mugaloglu, Erhan & Koçak, Emrah, 2018. "The impact of oil prices on CO2 emissions in China: A Wavelet coherence approach," MPRA Paper 90170, University Library of Munich, Germany.
    2. Deniz Kenan Kılıç & Ömür Uğur, 2018. "Multiresolution analysis of S&P500 time series," Annals of Operations Research, Springer, vol. 260(1), pages 197-216, January.
    3. Kuşkaya, Sevda, 2022. "Residential solar energy consumption and greenhouse gas nexus: Evidence from Morlet wavelet transforms," Renewable Energy, Elsevier, vol. 192(C), pages 793-804.
    4. Mpoha, Salifya & Bonga-Bonga, Lumengo, 2021. "Spillover effects from China and the US to global emerging markets: a dynamic analysis," MPRA Paper 109349, University Library of Munich, Germany.
    5. 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.
    6. Chee Kian Leong & Weihong Huang, 2010. "Testing for spurious and cointegrated regressions: A wavelet approach," Journal of Applied Statistics, Taylor & Francis Journals, vol. 37(2), pages 215-233.
    7. Aktham Maghyereh & Hussein Abdoh, 2022. "COVID-19 and the volatility interlinkage between bitcoin and financial assets," Empirical Economics, Springer, vol. 63(6), pages 2875-2901, December.
    8. Werner Kristjanpoller R. & Alejandro Sierra C., 2014. "Relationship between the dollar, the price of copper and the IPSA indifferent time scales: An approach through Wavelet," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 17(3), pages 56-85, December.
    9. Jammazi, Rania & Aloui, Chaker, 2015. "On the interplay between energy consumption, economic growth and CO2 emission nexus in the GCC countries: A comparative analysis through wavelet approaches," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 1737-1751.
    10. Yushu Li, 2015. "Estimate Long Memory Causality Relationship by Wavelet Method," Computational Economics, Springer;Society for Computational Economics, vol. 45(4), pages 531-544, April.
    11. Avishek BHANDARI, 2017. "Wavelets based multiscale analysis of select global equity returns," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(4(613), W), pages 75-88, Winter.
    12. Maghyereh, Aktham I. & Awartani, Basel & Abdoh, Hussein, 2019. "The co-movement between oil and clean energy stocks: A wavelet-based analysis of horizon associations," Energy, Elsevier, vol. 169(C), pages 895-913.
    13. Bilgili, Faik & Koçak, Emrah & Kuşkaya, Sevda & Bulut, Ümit, 2020. "Estimation of the co-movements between biofuel production and food prices: A wavelet-based analysis," Energy, Elsevier, vol. 213(C).
    14. Roger Bowden & Jennifer Zhu, 2010. "Multi-scale variation, path risk and long-term portfolio management," Quantitative Finance, Taylor & Francis Journals, vol. 10(7), pages 783-796.
    15. Crowley, Patrick M. & Lee, Jim, 2005. "Decomposing the co-movement of the business cycle: a time-frequency analysis of growth cycles in the euro area," Bank of Finland Research Discussion Papers 12/2005, Bank of Finland.
    16. 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.
    17. Anderson Antonio Denardin & Alice Kozakevicius & Alex A. Schmidt, 2018. "Avaliação Da Medida De Núcleo De Inflação Baseada No Método Wavelet Para O Brasil," Anais do XLIV Encontro Nacional de Economia [Proceedings of the 44th Brazilian Economics Meeting] 34, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    18. Jia, Xiaoliang & An, Haizhong & Sun, Xiaoqi & Huang, Xuan & Wang, Lijun, 2017. "Evolution of world crude oil market integration and diversification: A wavelet-based complex network perspective," Applied Energy, Elsevier, vol. 185(P2), pages 1788-1798.
    19. Ahamada, Ibrahim & Jolivaldt, Philippe, 2013. "Time-spectral density and wavelets approaches. Comparative study. Applications to SP500 returns and US GDP," Economic Modelling, Elsevier, vol. 31(C), pages 460-466.
    20. Ozun, Alper & Cifter, Atilla, 2007. "Modeling Long-Term Memory Effect in Stock Prices: A Comparative Analysis with GPH Test and Daubechies Wavelets," MPRA Paper 2481, University Library of Munich, Germany.
    21. Aktham Maghyereh & Basel Awartani & Abul Hassan, 2018. "Can gold be used as a hedge against the risks of Sharia-compliant securities? Application for Islamic portfolio management," Journal of Asset Management, Palgrave Macmillan, vol. 19(6), pages 394-412, October.
    22. Hanif, Waqas & Teplova, Tamara & Rodina, Victoria & Alomari, Mohammed & Mensi, Walid, 2023. "Volatility spillovers and frequency dependence between oil price shocks and green stock markets," Resources Policy, Elsevier, vol. 85(PB).
    23. Jia, Xiaoliang & An, Haizhong & Fang, Wei & Sun, Xiaoqi & Huang, Xuan, 2015. "How do correlations of crude oil prices co-move? A grey correlation-based wavelet perspective," Energy Economics, Elsevier, vol. 49(C), pages 588-598.
    24. Crowley, Patrick M. & Maraun, Douglas & Mayes, David, 2006. "How hard is the euro area core? An evaluation of growth cycles using wavelet analysis," Bank of Finland Research Discussion Papers 18/2006, Bank of Finland.
    25. Faik Bilgili & Emrah Koçak & Sevda Kuşkaya, 2023. "Dynamics and Co-movements Between the COVID-19 Outbreak and the Stock Market in Latin American Countries: An Evaluation Based on the Wavelet-Partial Wavelet Coherence Model," Evaluation Review, , vol. 47(4), pages 630-652, August.
    26. Maghyereh, Aktham & Abdoh, Hussein, 2020. "Tail dependence between Bitcoin and financial assets: Evidence from a quantile cross-spectral approach," International Review of Financial Analysis, Elsevier, vol. 71(C).
    27. Maghyereh, Aktham & Abdoh, Hussein, 2021. "Time–frequency quantile dependence between Bitcoin and global equity markets," The North American Journal of Economics and Finance, Elsevier, vol. 56(C).
    28. Shehzad, Khurram & Bilgili, Faik & Zaman, Umer & Kocak, Emrah & Kuskaya, Sevda, 2021. "Is gold favourable than bitcoin during the COVID-19 outbreak? Comparative analysis through wavelet approach," Resources Policy, Elsevier, vol. 73(C).
    29. Philippe Jolivaldt & Ibrahim Ahamada, 2010. "Filtres usuels et filtre fondé sur les ondelettes : étude comparative et application au cycle économique," Économie et Prévision, Programme National Persée, vol. 195(4), pages 149-161.
    30. Avishek Bhandari, 2020. "A wavelet analysis of inter-dependence, contagion and long memory among global equity markets," Papers 2003.14110, arXiv.org.
    31. Ysusi Carla, 2009. "Analysis of the Dynamics of Mexican Inflation Using Wavelets," Working Papers 2009-09, Banco de México.
    32. Ibrahim Ahamada & Philippe Jolivaldt, 2010. "Classical vs wavelet-based filters Comparative study and application to business cycle," Post-Print halshs-00476022, HAL.
    33. Sevda Kuşkaya & Nurhan Toğuç & Faik Bilgili, 2022. "Wavelet coherence analysis and exchange rate movements," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(6), pages 4675-4692, December.
    34. Fousekis, Panos & Grigoriadis, Vasilis, 2016. "Spatial price dependence by time scale: Empirical evidence from the international butter markets," Economic Modelling, Elsevier, vol. 54(C), pages 195-204.

  18. Patrick Crowley & Jim Lee, 2005. "Decomposing the co-movement of the business cycle: a time- frequency analysis of growth cycles in the eurozone," Macroeconomics 0503015, University Library of Munich, Germany.

    Cited by:

    1. Zagaglia, Paolo, 2006. "The Predictive Power of the Yield Spread under the Veil of Time," Research Papers in Economics 2006:4, Stockholm University, Department of Economics.
    2. Avishek BHANDARI, 2017. "Wavelets based multiscale analysis of select global equity returns," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(4(613), W), pages 75-88, Winter.
    3. Milan Bašta & Peter Molnár, 2019. "Long‐term dynamics of the VIX index and its tradable counterpart VXX," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(3), pages 322-341, March.
    4. Crowley, Patrick M. & Maraun, Douglas & Mayes, David, 2006. "How hard is the euro area core? An evaluation of growth cycles using wavelet analysis," Bank of Finland Research Discussion Papers 18/2006, Bank of Finland.
    5. Lehkonen, Heikki & Heimonen, Kari, 2014. "Timescale-dependent stock market comovement: BRICs vs. developed markets," Journal of Empirical Finance, Elsevier, vol. 28(C), pages 90-103.
    6. Arkadiusz Kijek, 2017. "Spectral analysis of business cycles in Poland and its major trading partners," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 27(1), pages 57-75.

  19. Crowley, Patrick M., 2005. "An intuitive guide to wavelets for economists," Bank of Finland Research Discussion Papers 1/2005, Bank of Finland.

    Cited by:

    1. Bilgili, Faik & Mugaloglu, Erhan & Koçak, Emrah, 2018. "The impact of oil prices on CO2 emissions in China: A Wavelet coherence approach," MPRA Paper 90170, University Library of Munich, Germany.
    2. Deniz Kenan Kılıç & Ömür Uğur, 2018. "Multiresolution analysis of S&P500 time series," Annals of Operations Research, Springer, vol. 260(1), pages 197-216, January.
    3. Kuşkaya, Sevda, 2022. "Residential solar energy consumption and greenhouse gas nexus: Evidence from Morlet wavelet transforms," Renewable Energy, Elsevier, vol. 192(C), pages 793-804.
    4. Mpoha, Salifya & Bonga-Bonga, Lumengo, 2021. "Spillover effects from China and the US to global emerging markets: a dynamic analysis," MPRA Paper 109349, University Library of Munich, Germany.
    5. 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.
    6. Chee Kian Leong & Weihong Huang, 2010. "Testing for spurious and cointegrated regressions: A wavelet approach," Journal of Applied Statistics, Taylor & Francis Journals, vol. 37(2), pages 215-233.
    7. Aktham Maghyereh & Hussein Abdoh, 2022. "COVID-19 and the volatility interlinkage between bitcoin and financial assets," Empirical Economics, Springer, vol. 63(6), pages 2875-2901, December.
    8. Werner Kristjanpoller R. & Alejandro Sierra C., 2014. "Relationship between the dollar, the price of copper and the IPSA indifferent time scales: An approach through Wavelet," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 17(3), pages 56-85, December.
    9. Jammazi, Rania & Aloui, Chaker, 2015. "On the interplay between energy consumption, economic growth and CO2 emission nexus in the GCC countries: A comparative analysis through wavelet approaches," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 1737-1751.
    10. Yushu Li, 2015. "Estimate Long Memory Causality Relationship by Wavelet Method," Computational Economics, Springer;Society for Computational Economics, vol. 45(4), pages 531-544, April.
    11. Avishek BHANDARI, 2017. "Wavelets based multiscale analysis of select global equity returns," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(4(613), W), pages 75-88, Winter.
    12. Maghyereh, Aktham I. & Awartani, Basel & Abdoh, Hussein, 2019. "The co-movement between oil and clean energy stocks: A wavelet-based analysis of horizon associations," Energy, Elsevier, vol. 169(C), pages 895-913.
    13. Bilgili, Faik & Koçak, Emrah & Kuşkaya, Sevda & Bulut, Ümit, 2020. "Estimation of the co-movements between biofuel production and food prices: A wavelet-based analysis," Energy, Elsevier, vol. 213(C).
    14. Roger Bowden & Jennifer Zhu, 2010. "Multi-scale variation, path risk and long-term portfolio management," Quantitative Finance, Taylor & Francis Journals, vol. 10(7), pages 783-796.
    15. Crowley, Patrick M. & Lee, Jim, 2005. "Decomposing the co-movement of the business cycle: a time-frequency analysis of growth cycles in the euro area," Bank of Finland Research Discussion Papers 12/2005, Bank of Finland.
    16. 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.
    17. Anderson Antonio Denardin & Alice Kozakevicius & Alex A. Schmidt, 2018. "Avaliação Da Medida De Núcleo De Inflação Baseada No Método Wavelet Para O Brasil," Anais do XLIV Encontro Nacional de Economia [Proceedings of the 44th Brazilian Economics Meeting] 34, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    18. Jia, Xiaoliang & An, Haizhong & Sun, Xiaoqi & Huang, Xuan & Wang, Lijun, 2017. "Evolution of world crude oil market integration and diversification: A wavelet-based complex network perspective," Applied Energy, Elsevier, vol. 185(P2), pages 1788-1798.
    19. Ahamada, Ibrahim & Jolivaldt, Philippe, 2013. "Time-spectral density and wavelets approaches. Comparative study. Applications to SP500 returns and US GDP," Economic Modelling, Elsevier, vol. 31(C), pages 460-466.
    20. Ozun, Alper & Cifter, Atilla, 2007. "Modeling Long-Term Memory Effect in Stock Prices: A Comparative Analysis with GPH Test and Daubechies Wavelets," MPRA Paper 2481, University Library of Munich, Germany.
    21. Aktham Maghyereh & Basel Awartani & Abul Hassan, 2018. "Can gold be used as a hedge against the risks of Sharia-compliant securities? Application for Islamic portfolio management," Journal of Asset Management, Palgrave Macmillan, vol. 19(6), pages 394-412, October.
    22. Hanif, Waqas & Teplova, Tamara & Rodina, Victoria & Alomari, Mohammed & Mensi, Walid, 2023. "Volatility spillovers and frequency dependence between oil price shocks and green stock markets," Resources Policy, Elsevier, vol. 85(PB).
    23. Jia, Xiaoliang & An, Haizhong & Fang, Wei & Sun, Xiaoqi & Huang, Xuan, 2015. "How do correlations of crude oil prices co-move? A grey correlation-based wavelet perspective," Energy Economics, Elsevier, vol. 49(C), pages 588-598.
    24. Crowley, Patrick M. & Maraun, Douglas & Mayes, David, 2006. "How hard is the euro area core? An evaluation of growth cycles using wavelet analysis," Bank of Finland Research Discussion Papers 18/2006, Bank of Finland.
    25. Faik Bilgili & Emrah Koçak & Sevda Kuşkaya, 2023. "Dynamics and Co-movements Between the COVID-19 Outbreak and the Stock Market in Latin American Countries: An Evaluation Based on the Wavelet-Partial Wavelet Coherence Model," Evaluation Review, , vol. 47(4), pages 630-652, August.
    26. Maghyereh, Aktham & Abdoh, Hussein, 2020. "Tail dependence between Bitcoin and financial assets: Evidence from a quantile cross-spectral approach," International Review of Financial Analysis, Elsevier, vol. 71(C).
    27. Maghyereh, Aktham & Abdoh, Hussein, 2021. "Time–frequency quantile dependence between Bitcoin and global equity markets," The North American Journal of Economics and Finance, Elsevier, vol. 56(C).
    28. Shehzad, Khurram & Bilgili, Faik & Zaman, Umer & Kocak, Emrah & Kuskaya, Sevda, 2021. "Is gold favourable than bitcoin during the COVID-19 outbreak? Comparative analysis through wavelet approach," Resources Policy, Elsevier, vol. 73(C).
    29. Philippe Jolivaldt & Ibrahim Ahamada, 2010. "Filtres usuels et filtre fondé sur les ondelettes : étude comparative et application au cycle économique," Économie et Prévision, Programme National Persée, vol. 195(4), pages 149-161.
    30. Avishek Bhandari, 2020. "A wavelet analysis of inter-dependence, contagion and long memory among global equity markets," Papers 2003.14110, arXiv.org.
    31. Ysusi Carla, 2009. "Analysis of the Dynamics of Mexican Inflation Using Wavelets," Working Papers 2009-09, Banco de México.
    32. Ibrahim Ahamada & Philippe Jolivaldt, 2010. "Classical vs wavelet-based filters Comparative study and application to business cycle," Post-Print halshs-00476022, HAL.
    33. Sevda Kuşkaya & Nurhan Toğuç & Faik Bilgili, 2022. "Wavelet coherence analysis and exchange rate movements," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(6), pages 4675-4692, December.
    34. Fousekis, Panos & Grigoriadis, Vasilis, 2016. "Spatial price dependence by time scale: Empirical evidence from the international butter markets," Economic Modelling, Elsevier, vol. 54(C), pages 195-204.

  20. Crowley, Patrick M. & Lee, Jim, 2005. "Decomposing the co-movement of the business cycle: a time-frequency analysis of growth cycles in the euro area," Bank of Finland Research Discussion Papers 12/2005, Bank of Finland.

    Cited by:

    1. 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.
    2. Crowley, Patrick M. & Hudgins, David, 2015. "Euro area monetary and fiscal policy tracking design in the time-frequency domain," Bank of Finland Research Discussion Papers 12/2015, Bank of Finland.
    3. Crowley, Patrick M. & Maraun, Douglas & Mayes, David, 2006. "How hard is the euro area core? An evaluation of growth cycles using wavelet analysis," Bank of Finland Research Discussion Papers 18/2006, Bank of Finland.
    4. Crowley, Patrick M., 2008. "One money, several cycles? Evaluation of European business cycles using model-based cluster analysis," Bank of Finland Research Discussion Papers 3/2008, Bank of Finland.

Articles

  1. Patrick M. Crowley & David Hudgins, 2021. "Is the Taylor rule optimal? Evaluation using a wavelet-based control model," Applied Economics Letters, Taylor & Francis Journals, vol. 28(1), pages 54-60, January.

    Cited by:

    1. Patrick M. Crowley & David Hudgins, 2022. "Monetary policy objectives and economic outcomes: What can we learn from a wavelet‐based optimal control approach?," Manchester School, University of Manchester, vol. 90(2), pages 144-170, March.
    2. David Hudgins & Patrick M. Crowley, 2023. "Resilient Control for Macroeconomic Models," Computational Economics, Springer;Society for Computational Economics, vol. 61(4), pages 1403-1431, April.

  2. Patrick M. Crowley & David Hudgins, 2021. "Okun’s law revisited in the time–frequency domain: introducing unemployment into a wavelet-based control model," Empirical Economics, Springer, vol. 61(5), pages 2635-2662, November.

    Cited by:

    1. Fratianni, Michele & Gallegati, Marco & Giri, Federico, 2022. "The medium-run Phillips curve: A time–frequency investigation for the UK," Journal of Macroeconomics, Elsevier, vol. 73(C).
    2. Patrick M. Crowley & David Hudgins, 2022. "Monetary policy objectives and economic outcomes: What can we learn from a wavelet‐based optimal control approach?," Manchester School, University of Manchester, vol. 90(2), pages 144-170, March.
    3. David Hudgins & Patrick M. Crowley, 2023. "Resilient Control for Macroeconomic Models," Computational Economics, Springer;Society for Computational Economics, vol. 61(4), pages 1403-1431, April.

  3. David Hudgins & Patrick M. Crowley, 2019. "Stress-Testing U.S. Macroeconomic Policy: A Computational Approach Using Stochastic and Robust Designs in a Wavelet-Based Optimal Control Framework," Computational Economics, Springer;Society for Computational Economics, vol. 53(4), pages 1509-1546, April.

    Cited by:

    1. David Hudgins & Patrick M. Crowley, 2023. "Resilient Control for Macroeconomic Models," Computational Economics, Springer;Society for Computational Economics, vol. 61(4), pages 1403-1431, April.
    2. João Martins, 2022. "Bond Yields Movement Similarities and Synchronization in the G7: A Time–Frequency Analysis," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 18(2), pages 189-214, July.
    3. Yakov Ben‐Haim & Jan Willem Van den End, 2022. "Assessing uncertainty in the natural rate of interest: Info‐gap as guide for monetary policy in the euro area," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(3), pages 3228-3245, July.
    4. Dalia Mansour-Ibrahim, 2023. "Are the Eurozone Financial and Business Cycles Convergent Across Time and Frequency?," Computational Economics, Springer;Society for Computational Economics, vol. 61(1), pages 389-427, January.

  4. Patrick M. Crowley & David Hudgins, 2018. "What is the right balance between US monetary and fiscal policy? Explorations using simulated wavelet-based optimal tracking control," Empirical Economics, Springer, vol. 55(4), pages 1537-1568, December.

    Cited by:

    1. Patrick M. Crowley & David Hudgins, 2022. "Monetary policy objectives and economic outcomes: What can we learn from a wavelet‐based optimal control approach?," Manchester School, University of Manchester, vol. 90(2), pages 144-170, March.
    2. David Hudgins & Patrick M. Crowley, 2023. "Resilient Control for Macroeconomic Models," Computational Economics, Springer;Society for Computational Economics, vol. 61(4), pages 1403-1431, April.
    3. João Martins, 2022. "Bond Yields Movement Similarities and Synchronization in the G7: A Time–Frequency Analysis," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 18(2), pages 189-214, July.
    4. David Hudgins & Patrick M. Crowley, 2019. "Stress-Testing U.S. Macroeconomic Policy: A Computational Approach Using Stochastic and Robust Designs in a Wavelet-Based Optimal Control Framework," Computational Economics, Springer;Society for Computational Economics, vol. 53(4), pages 1509-1546, April.
    5. Crowley, Patrick M. & Hudgins, David, 2019. "U.S. Macroeconomic Policy Evaluation in an Open Economy Context using Wavelet Decomposed Optimal Control Methods," Bank of Finland Research Discussion Papers 11/2019, Bank of Finland.
    6. Crowley, Patrick M. & Hudgins, David, 2020. "How effective is the Taylor rule? Some insights from the time-frequency domain," BoF Economics Review 1/2020, Bank of Finland.
    7. Patrick M. Crowley & Andrew Hughes Hallett, 2021. "The Evolution of US and UK Real GDP Components in the Time-Frequency Domain: A Continuous Wavelet Analysis," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 17(3), pages 233-261, December.
    8. Meng, Xiangcai & Huang, Chia-Hsing, 2021. "The time-frequency analysis of conventional and unconventional monetary policy: Evidence from Japan," Japan and the World Economy, Elsevier, vol. 59(C).

  5. Patrick M. Crowley & David Hudgins, 2018. "Evaluating South African Fiscal and Monetary Policy Trade‐offs Using a Wavelet‐Based Model," South African Journal of Economics, Economic Society of South Africa, vol. 86(4), pages 401-427, December.

    Cited by:

    1. Patrick M. Crowley & David Hudgins, 2022. "Monetary policy objectives and economic outcomes: What can we learn from a wavelet‐based optimal control approach?," Manchester School, University of Manchester, vol. 90(2), pages 144-170, March.
    2. Eugene Msizi BUTHELEZI, 2023. "Examining the Dynamic Nexus of Monetary and Fiscal Policy in South Africa: Evidence from Key Macroeconomic Economic Indicators," Journal of Economics and Financial Analysis, Tripal Publishing House, vol. 7(1), pages 13-42.
    3. Crowley, Patrick M. & Hudgins, David, 2019. "U.S. Macroeconomic Policy Evaluation in an Open Economy Context using Wavelet Decomposed Optimal Control Methods," Bank of Finland Research Discussion Papers 11/2019, Bank of Finland.
    4. Pavitra Dhamija, 2020. "Economic Development and South Africa: 25 Years Analysis (1994 to 2019)," South African Journal of Economics, Economic Society of South Africa, vol. 88(3), pages 298-322, September.

  6. Crowley, Patrick M. & Hallett, Andrew Hughes, 2018. "What causes business cycles to elongate, or recessions to intensify?," Journal of Macroeconomics, Elsevier, vol. 57(C), pages 338-349.

    Cited by:

    1. Fratianni, Michele & Gallegati, Marco & Giri, Federico, 2022. "The medium-run Phillips curve: A time–frequency investigation for the UK," Journal of Macroeconomics, Elsevier, vol. 73(C).
    2. Luís Aguiar-Conraria & Manuel M. F. Martins & Maria Joana Soares, 2019. "The Phillips Curve at 60: time for time and frequency," CEF.UP Working Papers 1902, Universidade do Porto, Faculdade de Economia do Porto.
    3. Luís Aguiar-Conraria & Manuel M. F. Martins & Maria Joana Soares, 2019. "Okun’s Law Across Time and Frequencies," NIPE Working Papers 13/2019, NIPE - Universidade do Minho.
    4. Patrick M. Crowley & David Hudgins, 2022. "Monetary policy objectives and economic outcomes: What can we learn from a wavelet‐based optimal control approach?," Manchester School, University of Manchester, vol. 90(2), pages 144-170, March.
    5. Aguiar-Conraria, Luís & Martins, Manuel M.F. & Soares, Maria Joana, 2023. "The Phillips curve at 65: Time for time and frequency," Journal of Economic Dynamics and Control, Elsevier, vol. 151(C).
    6. Patrick M. Crowley & David Hudgins, 2021. "Okun’s law revisited in the time–frequency domain: introducing unemployment into a wavelet-based control model," Empirical Economics, Springer, vol. 61(5), pages 2635-2662, November.
    7. João Martins, 2022. "Bond Yields Movement Similarities and Synchronization in the G7: A Time–Frequency Analysis," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 18(2), pages 189-214, July.
    8. Patrick M. Crowley & Andrew Hughes Hallett, 2021. "The Evolution of US and UK Real GDP Components in the Time-Frequency Domain: A Continuous Wavelet Analysis," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 17(3), pages 233-261, December.
    9. Dalia Mansour-Ibrahim, 2023. "Are the Eurozone Financial and Business Cycles Convergent Across Time and Frequency?," Computational Economics, Springer;Society for Computational Economics, vol. 61(1), pages 389-427, January.

  7. Crowley, Patrick M. & Hudgins, David, 2017. "Wavelet-based monetary and fiscal policy in the Euro area," Journal of Policy Modeling, Elsevier, vol. 39(2), pages 206-231.

    Cited by:

    1. Patrick M. Crowley & David Hudgins, 2022. "Monetary policy objectives and economic outcomes: What can we learn from a wavelet‐based optimal control approach?," Manchester School, University of Manchester, vol. 90(2), pages 144-170, March.
    2. David Hudgins & Patrick M. Crowley, 2023. "Resilient Control for Macroeconomic Models," Computational Economics, Springer;Society for Computational Economics, vol. 61(4), pages 1403-1431, April.
    3. Rémi Odry & Roman Mestre, 2021. "Monetary Policy and Business Cycle Synchronization in Europe," Working Papers hal-04159759, HAL.
    4. Patrick M. Crowley & David Hudgins, 2018. "What is the right balance between US monetary and fiscal policy? Explorations using simulated wavelet-based optimal tracking control," Empirical Economics, Springer, vol. 55(4), pages 1537-1568, December.
    5. Hudgins, David & Crowley, Patrick M., 2017. "Modelling a small open economy using a wavelet-based control model," Bank of Finland Research Discussion Papers 32/2017, Bank of Finland.
    6. Hathroubi, Salem & Aloui, Chaker, 2022. "Oil price dynamics and fiscal policy cyclicality in Saudi Arabia: New evidence from partial and multiple wavelet coherences," The Quarterly Review of Economics and Finance, Elsevier, vol. 85(C), pages 149-160.
    7. João Martins, 2022. "Bond Yields Movement Similarities and Synchronization in the G7: A Time–Frequency Analysis," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 18(2), pages 189-214, July.
    8. David Hudgins & Patrick M. Crowley, 2019. "Stress-Testing U.S. Macroeconomic Policy: A Computational Approach Using Stochastic and Robust Designs in a Wavelet-Based Optimal Control Framework," Computational Economics, Springer;Society for Computational Economics, vol. 53(4), pages 1509-1546, April.
    9. Crowley, Patrick M. & Hudgins, David, 2019. "U.S. Macroeconomic Policy Evaluation in an Open Economy Context using Wavelet Decomposed Optimal Control Methods," Bank of Finland Research Discussion Papers 11/2019, Bank of Finland.
    10. Crowley, Patrick M. & Hudgins, David, 2020. "How effective is the Taylor rule? Some insights from the time-frequency domain," BoF Economics Review 1/2020, Bank of Finland.
    11. Meng, Xiangcai & Huang, Chia-Hsing, 2021. "The time-frequency analysis of conventional and unconventional monetary policy: Evidence from Japan," Japan and the World Economy, Elsevier, vol. 59(C).
    12. Dalia Mansour-Ibrahim, 2023. "Are the Eurozone Financial and Business Cycles Convergent Across Time and Frequency?," Computational Economics, Springer;Society for Computational Economics, vol. 61(1), pages 389-427, January.

  8. 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.

    Cited by:

    1. Faria, Gonçalo & Verona, Fabio, 2020. "The yield curve and the stock market: Mind the long run," Journal of Financial Markets, Elsevier, vol. 50(C).
    2. Crowley, Patrick M. & Hallett, Andrew Hughes, 2018. "What causes business cycles to elongate, or recessions to intensify?," Journal of Macroeconomics, Elsevier, vol. 57(C), pages 338-349.
    3. Luís Aguiar-Conraria & Manuel M. F. Martins & Maria Joana Soares, 2018. "Estimating the Taylor Rule in the Time-Frequency Domain," NIPE Working Papers 04/2018, NIPE - Universidade do Minho.
    4. Power, Gabriel J. & Eaves, James & Turvey, Calum & Vedenov, Dmitry, 2017. "Catching the curl: Wavelet thresholding improves forward curve modelling," Economic Modelling, Elsevier, vol. 64(C), pages 312-321.
    5. 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.
    6. Crowley, Patrick M. & Hudgins, David, 2017. "Wavelet-based monetary and fiscal policy in the Euro area," Journal of Policy Modeling, Elsevier, vol. 39(2), pages 206-231.
    7. António Rua, 2016. "A wavelet-based multivariate multiscale approach for forecasting," Working Papers w201612, Banco de Portugal, Economics and Research Department.

  9. Crowley, Patrick M. & Hudgins, David, 2015. "Fiscal policy tracking design in the time–frequency domain using wavelet analysis," Economic Modelling, Elsevier, vol. 51(C), pages 502-514.
    See citations under working paper version above.
  10. Chee-Heong Quah & Patrick M. Crowley, 2012. "China and the Dollar: An Optimum Currency Area View," Prague Economic Papers, Prague University of Economics and Business, vol. 2012(4), pages 391-411.

    Cited by:

    1. Chee-Heong Quah, 2016. "A Diagnostic on the West African Monetary Union," South African Journal of Economics, Economic Society of South Africa, vol. 84(1), pages 129-148, March.
    2. Chee-Heong Quah, 2011. "Is East Asia as prepared as eurozone for monetary union?," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 13(3), pages 471-488, April.
    3. Chee-Heong Quah, 2017. "Exchange Rate Fixation between US, China, Japan and Eurozone," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 11(2), pages 99-120, May.

  11. Crowley Patrick M., 2012. "How Do You Make A Time Series Sing Like a Choir? Extracting Embedded Frequencies from Economic and Financial Time Series using Empirical Mode Decomposition," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 16(5), pages 1-31, December.

    Cited by:

    1. Afanasyev, Dmitriy O. & Fedorova, Elena A. & Popov, Viktor U., 2015. "Fine structure of the price–demand relationship in the electricity market: Multi-scale correlation analysis," Energy Economics, Elsevier, vol. 51(C), pages 215-226.
    2. Crowley, Patrick M. & Hallett, Andrew Hughes, 2018. "What causes business cycles to elongate, or recessions to intensify?," Journal of Macroeconomics, Elsevier, vol. 57(C), pages 338-349.
    3. Jason Angelopoulos, 2017. "Creating and assessing composite indicators: Dynamic applications for the port industry and seaborne trade," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 19(1), pages 126-159, March.
    4. Jason Angelopoulos, 2017. "Time–frequency analysis of the Baltic Dry Index," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 19(2), pages 211-233, June.
    5. He, Kaijian & Liu, Youjin & Yu, Lean & Lai, Kin Keung, 2016. "Multiscale dependence analysis and portfolio risk modeling for precious metal markets," Resources Policy, Elsevier, vol. 50(C), pages 224-233.
    6. He, Kaijian & Yu, Lean & Tang, Ling, 2015. "Electricity price forecasting with a BED (Bivariate EMD Denoising) methodology," Energy, Elsevier, vol. 91(C), pages 601-609.

  12. Chee-Heong Quah & Patrick Crowley, 2012. "Which country should be the monetary anchor for East Asia: the US, Japan or China?," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 17(1), pages 94-112.

    Cited by:

    1. Quah, Chee-Heong & Ho, Yew-Joe, 2020. "Economic Feasibility of Malaysia and Singapore-Brunei Monetary Reunion: A Scrutiny during Major Financial Crises," Asian Journal of Applied Economics, Kasetsart University, Center for Applied Economics Research, vol. 27(1).
    2. Mengdi Song, 2018. "Network Effects of Countries’ Exchange Rate Regime Choices: A Spatial Analysis," Open Economies Review, Springer, vol. 29(5), pages 1061-1093, November.
    3. Quah Chee-Heong, 2019. "China’s Dollar-linked Hong Kong during the Global Crisis," Apuntes del Cenes, Universidad Pedagógica y Tecnológica de Colombia, vol. 38(67), pages 95-121, February.
    4. Berdiev, Aziz N. & Chang, Chun-Ping, 2015. "Business cycle synchronization in Asia-Pacific: New evidence from wavelet analysis," Journal of Asian Economics, Elsevier, vol. 37(C), pages 20-33.
    5. Chee-Heong Quah, 2016. "Germany versus the United States: Monetary Dominance in the Eurozone," Economies, MDPI, vol. 4(2), pages 1-16, April.
    6. Ibrahim Bakari Hassan & M. Azali & Lee Chin & Wan N.W. Azman-Saini, 2017. "Macroeconomic linkages and international shock transmissions in East Asia: A global vector autoregressive approach," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1370772-137, January.
    7. Lindman, Sebastian & Tuvhag, Tom & Jayasekera, Ranadeva & Uddin, Gazi Salah & Troster, Victor, 2020. "Market Impact on financial market integration: Cross-quantilogram analysis of the global impact of the euro," Journal of Empirical Finance, Elsevier, vol. 56(C), pages 42-73.
    8. Jamshaid ur Rehman & Tasneem Zafar & Shabbir Ahmad & Aftab Anwar, 2022. "In Search of Common Currency Anchor for ASEAN+3+3 Countries," Journal of Policy Research (JPR), Research Foundation for Humanity (RFH), vol. 8(3), pages 237-264, September.

  13. Patrick M. Crowley & Tony Schildt, 2012. "An Analysis of the Embedded Frequency Content of Macroeconomic Indicators and their Counterparts using the Hilbert-Huang Transform," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2012(1), pages 1-31.
    See citations under working paper version above.
  14. Chee‐Heong Quah & Patrick M. Crowley, 2010. "Monetary Integration in East Asia: A Hierarchical Clustering Approach," International Finance, Wiley Blackwell, vol. 13(2), pages 283-309, August.

    Cited by:

    1. Chee-Heong Quah, 2016. "A Diagnostic on the West African Monetary Union," South African Journal of Economics, Economic Society of South Africa, vol. 84(1), pages 129-148, March.
    2. Ionel Bostan & Otilia-Roxana Oprea & Ovidiu Stoica, 2020. "Approaching Monetary Integration in the Context of the Imperative to Ensure the Sustainable Growth in the EU," Sustainability, MDPI, vol. 12(17), pages 1-15, August.
    3. Quah Chee-Heong, 2019. "China’s Dollar-linked Hong Kong during the Global Crisis," Apuntes del Cenes, Universidad Pedagógica y Tecnológica de Colombia, vol. 38(67), pages 95-121, February.
    4. Mattera, Raffaele & Franses, Philip Hans, 2023. "Are African business cycles synchronized? Evidence from spatio-temporal modeling," Economic Modelling, Elsevier, vol. 128(C).
    5. Zeitsch, Peter J., 2019. "A jump model for credit default swaps with hierarchical clustering," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 524(C), pages 737-775.
    6. Berdiev, Aziz N. & Chang, Chun-Ping, 2015. "Business cycle synchronization in Asia-Pacific: New evidence from wavelet analysis," Journal of Asian Economics, Elsevier, vol. 37(C), pages 20-33.
    7. Chee-Heong Quah, 2017. "Exchange Rate Fixation between US, China, Japan and Eurozone," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 11(2), pages 99-120, May.
    8. Chee-Heong Quah & Patrick M. Crowley, 2012. "China and the Dollar: An Optimum Currency Area View," Prague Economic Papers, Prague University of Economics and Business, vol. 2012(4), pages 391-411.
    9. Nikola Najman & Petr Rozmahel & Luděk Kouba & Ladislava Grochová, 2013. "Integration of Central and Eastern European Countries: Increasing EU Heterogeneity? WWWforEurope Working Paper No. 9," WIFO Studies, WIFO, number 46856, Juni.
    10. Chee-Heong Quah, 2016. "Germany versus the United States: Monetary Dominance in the Eurozone," Economies, MDPI, vol. 4(2), pages 1-16, April.
    11. A. Seetharaman & A.S. Saravanan & Nitin Patwa & Jigar Mehta, 2017. "Impact of Bitcoin as a World Currency," Accounting and Finance Research, Sciedu Press, vol. 6(2), pages 230-230, May.
    12. Chee-Heong Quah, 2014. "Clustering eurozone cycles," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(6), pages 3447-3462, November.

  15. Arndt, Sven W. & Crowley, Patrick M. & Mayes, David G., 2009. "The implications of integration for globalization," The North American Journal of Economics and Finance, Elsevier, vol. 20(2), pages 83-90, August.

    Cited by:

    1. Lee, Chien-Chiang & Chiu, Yi-Bin, 2016. "Globalization and insurance activity: Evidence on the industrial and emerging countries," The North American Journal of Economics and Finance, Elsevier, vol. 36(C), pages 328-349.

  16. Patrick M. Crowley & David G. Mayes, 2009. "How fused is the euro area core?: An evaluation of growth cycle co-movement and synchronization using wavelet analysis," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2008(1), pages 63-95.

    Cited by:

    1. Aviral Tiwari & Niyati Bhanja & Arif Dar & Faridul Islam, 2015. "Time–frequency relationship between share prices and exchange rates in India: Evidence from continuous wavelets," Empirical Economics, Springer, vol. 48(2), pages 699-714, March.
    2. Gallegati, Marco & Ramsey, James B., 2014. "The forward looking information content of equity and bond markets for aggregate investments," Journal of Economics and Business, Elsevier, vol. 75(C), pages 1-24.
    3. Luís Francisco Aguiar & Pedro C. Magalhães & Maria Joana Soares, 2010. "On Waves in War and Elections Wavelet Analysis of Political Time-Series," NIPE Working Papers 1/2010, NIPE - Universidade do Minho.
    4. Gallegati Marco & Gallegati Mauro & Ramsey James B. & Semmler Willi, 2016. "Productivity and unemployment: a scale-by-scale panel data analysis for the G7 countries," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 20(4), pages 477-493, September.
    5. Monge, Manuel & Gil-Alana, Luis A., 2021. "Lithium industry and the U.S. crude oil prices. A fractional cointegration VAR and a Continuous Wavelet Transform analysis," Resources Policy, Elsevier, vol. 72(C).
    6. Brunhart, Andreas, 2015. "The Swiss business cycle and the lead of small neighbor Liechtenstein," EconStor Preprints 130154, ZBW - Leibniz Information Centre for Economics.
    7. Verona, Fabio, 2016. "Time-frequency characterization of the U.S. financial cycle," Bank of Finland Research Discussion Papers 14/2016, Bank of Finland.
    8. Luís Aguiar-Conraria & Teresa Maria Rodrigues & Maria Joana Soares, 2014. "Oil Shocks and the Euro as an Optimum Currency Area," Dynamic Modeling and Econometrics in Economics and Finance, in: Marco Gallegati & Willi Semmler (ed.), Wavelet Applications in Economics and Finance, edition 127, pages 143-156, Springer.
    9. Aviral Tiwari & Niyati Bhanja & Arif Dar & Olaolu Olayeni, 2015. "Analyzing Time–Frequency Based Co-movement in Inflation: Evidence from G-7 Countries," Computational Economics, Springer;Society for Computational Economics, vol. 45(1), pages 91-109, January.
    10. Esser, Andreas, 2014. "A Wavelet Approach to Synchronization of Output Cycles," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100545, Verein für Socialpolitik / German Economic Association.
    11. Schmidbauer, Harald & Rösch, Angi & Uluceviz, Erhan, 2017. "Frequency aspects of information transmission in a network of three western equity markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 486(C), pages 933-946.
    12. António Rua & Artur Silva Lopes, 2012. "Cohesion within the euro area and the U. S.: a wavelet-based view," Working Papers w201204, Banco de Portugal, Economics and Research Department.
    13. Gallegati, Marco & Ramsey, James B., 2013. "Structural change and phase variation: A re-examination of the q-model using wavelet exploratory analysis," Structural Change and Economic Dynamics, Elsevier, vol. 25(C), pages 60-73.
    14. Tanveer Bagh & Abdul Waheed & Muhammad Asif Khan & Mirza Muhammad Naseer, 2023. "Effect of Economic Policy Uncertainty on China’s Stock Price Index: A Comprehensive Analysis Using Wavelet Coherence Approach," SAGE Open, , vol. 13(4), pages 21582440231, December.
    15. Saulius Jokubaitis & Dmitrij Celov, 2022. "Business Cycle Synchronization in the EU: A Regional-Sectoral Look through Soft-Clustering and Wavelet Decomposition," Papers 2206.14128, arXiv.org.
    16. 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.
    17. Marczak, Martyna & Gómez, Víctor, 2012. "Cyclicality of real wages in the USA and Germany: New insights from wavelet analysis," FZID Discussion Papers 50-2012, University of Hohenheim, Center for Research on Innovation and Services (FZID).
    18. Angi Roesch & Harald Schmidbauer & Erhan Uluceviz, 2014. "Frequency Aspects Of Information Transmission In Networks Of Equity Markets," EcoMod2014 7200, EcoMod.
    19. Luís Aguiar-Conraria & Maria Soares, 2011. "Oil and the macroeconomy: using wavelets to analyze old issues," Empirical Economics, Springer, vol. 40(3), pages 645-655, May.
    20. Styliani Christodoulopoulou, 2014. "The effect of currency unions on business cycle correlations: the EMU case," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 41(2), pages 177-222, May.
    21. Luís Francisco Aguiar & Maria Joana Soares, 2010. "Business Cycle Synchronization and the Euro: a Wavelet Analysis," NIPE Working Papers 36/2010, NIPE - Universidade do Minho.
    22. Aguiar-Conraria, Luis & Brinca, Pedro & Gudjonsson, Haukur & Soares, Joana, 2015. "Optimal currency area and business cycle synchronization across U.S. states," MPRA Paper 62125, University Library of Munich, Germany.
    23. Monge, Manuel & Lazcano, Ana & Parada, José Luis, 2023. "Growth vs value investing: Persistence and time trend before and after COVID-19," Research in International Business and Finance, Elsevier, vol. 65(C).

  17. Patrick M. Crowley, 2007. "A Guide To Wavelets For Economists," Journal of Economic Surveys, Wiley Blackwell, vol. 21(2), pages 207-267, April.

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    1. Marfatia, Hardik A., 2017. "A fresh look at integration of risks in the international stock markets: A wavelet approach," Review of Financial Economics, Elsevier, vol. 34(C), pages 33-49.
    2. Jens J. Krüger, 2021. "A Wavelet Evaluation of Some Leading Business Cycle Indicators for the German Economy," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 17(3), pages 293-319, December.
    3. Fratianni, Michele & Gallegati, Marco & Giri, Federico, 2022. "The medium-run Phillips curve: A time–frequency investigation for the UK," Journal of Macroeconomics, Elsevier, vol. 73(C).
    4. Patrick M. Crowley & Tony Schildt, 2012. "An Analysis of the Embedded Frequency Content of Macroeconomic Indicators and their Counterparts using the Hilbert-Huang Transform," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2012(1), pages 1-31.
    5. Huang, Shupei & An, Haizhong & Gao, Xiangyun & Sun, Xiaoqi, 2017. "Do oil price asymmetric effects on the stock market persist in multiple time horizons?," Applied Energy, Elsevier, vol. 185(P2), pages 1799-1808.
    6. George Tzagkarakis & Frantz Maurer, 2020. "An energy-based measure for long-run horizon risk quantification," Annals of Operations Research, Springer, vol. 289(2), pages 363-390, June.
    7. Marco Gallegati, 2019. "A system for dating long wave phases in economic development," Journal of Evolutionary Economics, Springer, vol. 29(3), pages 803-822, July.
    8. Andersson, Fredrik N.G. & Edgerton, David L. & Opper, Sonja, 2013. "A Matter of Time: Revisiting Growth Convergence in China," World Development, Elsevier, vol. 45(C), pages 239-251.
    9. Aguiar-Conraria, Luís & Azevedo, Nuno & Soares, Maria Joana, 2008. "Using wavelets to decompose the time–frequency effects of monetary policy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(12), pages 2863-2878.
    10. Gallegati, Marco & Ramsey, James B., 2014. "The forward looking information content of equity and bond markets for aggregate investments," Journal of Economics and Business, Elsevier, vol. 75(C), pages 1-24.
    11. Ran Lu & Hongjun Zeng, 2022. "VIX and major agricultural future markets: dynamic linkage and time-frequency relations around the COVID-19 outbreak," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 40(2), pages 334-353, September.
    12. Kilponen, Juha & Verona, Fabio, 2016. "Testing the Q theory of investment in the frequency domain," Bank of Finland Research Discussion Papers 32/2016, Bank of Finland.
    13. Li, Yushu & Andersson, Fredrik N. G., 2013. "A Simple Wavelet-Based Test for Serial Correlation in Panel Data Models," Working Papers 2013:39, Lund University, Department of Economics.
    14. Luís Francisco Aguiar & Pedro C. Magalhães & Maria Joana Soares, 2010. "On Waves in War and Elections Wavelet Analysis of Political Time-Series," NIPE Working Papers 1/2010, NIPE - Universidade do Minho.
    15. Takuji Kinkyo, 2022. "Hedging capabilities of Bitcoin for Asian currencies," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 1769-1784, April.
    16. Ender Demir & Mehmet Huseyin Bilgin & Gokhan Karabulut & Asli Cansin Doker, 2020. "The relationship between cryptocurrencies and COVID-19 pandemic," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 10(3), pages 349-360, September.
    17. Saldivia, Mauricio & Kristjanpoller, Werner & Olson, Josephine E., 2020. "Energy consumption and GDP revisited: A new panel data approach with wavelet decomposition," Applied Energy, Elsevier, vol. 272(C).
    18. Bouoiyour, Jamal & Selmi, Refk, 2013. "Nonlinearities and the nexus between inflation and inflation uncertainty in Egypt: New evidence from wavelets transform framework," MPRA Paper 52414, University Library of Munich, Germany.
    19. Khan, Khalid & Su, Chi-Wei & Zhu, Meng Nan, 2022. "Examining the behaviour of energy prices to COVID-19 uncertainty: A quantile on quantile approach," Energy, Elsevier, vol. 239(PE).
    20. 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.
    21. Svatopluk Kapounek & Zuzana Kucerova, 2018. "Historical Decoupling in the EU: Evidence from Time-Frequency Analysis," MENDELU Working Papers in Business and Economics 2018-75, Mendel University in Brno, Faculty of Business and Economics.
    22. Alqaralleh, Huthaifa & Canepa, Alessandra & Zanetti Chini, Emilio, 2020. "COVID-19 Pandemic and Stock Market Contagion: A Wavelet-Copula GARCH Approach," Department of Economics and Statistics Cognetti de Martiis. Working Papers 202012, University of Turin.
    23. Manuel Monge & Luis A. Gil-Alana, 2020. "The Lithium Industry and Analysis of the Beta Term Structure of Oil Companies," Risks, MDPI, vol. 8(4), pages 1-17, December.
    24. Kang, Sang Hoon & Maitra, Debasish & Dash, Saumya Ranjan & Brooks, Robert, 2019. "Dynamic spillovers and connectedness between stock, commodities, bonds, and VIX markets," Pacific-Basin Finance Journal, Elsevier, vol. 58(C).
    25. Jusoh, Hashim & Bacha, Obiyathulla & Masih, Abul Mansur M., 2014. "Multi-scale Lead-Lag Relationship between the Stock and Futures Markets: Malaysia as a Case Study," MPRA Paper 56954, University Library of Munich, Germany.
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    27. Huang, Xuan & An, Haizhong & Gao, Xiangyun & Hao, Xiaoqing & Liu, Pengpeng, 2015. "Multiresolution transmission of the correlation modes between bivariate time series based on complex network theory," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 428(C), pages 493-506.
    28. Maghyereh, Aktham & Awartani, Basel & Abdoh, Hussein, 2020. "The effects of investor emotions sentiments on crude oil returns: A time and frequency dynamics analysis," International Economics, Elsevier, vol. 162(C), pages 110-124.
    29. Patrick M. Crowley & David Hudgins, 2022. "Monetary policy objectives and economic outcomes: What can we learn from a wavelet‐based optimal control approach?," Manchester School, University of Manchester, vol. 90(2), pages 144-170, March.
    30. Henning, Martin & Enflo, Kerstin & Andersson, Fredrik N.G., 2011. "Trends and cycles in regional economic growth," Explorations in Economic History, Elsevier, vol. 48(4), pages 538-555.
    31. Chi-Wei Su & Kai-Hua Wang & Oana-Ramona Lobonţ & Meng Qin, 2023. "Continuous Wavelet Transform of Time-Frequency Analysis Technique to Capture the Dynamic Hedging Ability of Precious Metals," Mathematics, MDPI, vol. 11(5), pages 1-18, February.
    32. Michael A. Flor & Torben Klarl, 2015. "On the Cyclicity of Regional House Prices: New Evidence for U.S. Metropolitan Statistical Areas," CESifo Working Paper Series 5471, CESifo.
    33. Rua, António, 2010. "Measuring comovement in the time-frequency space," Journal of Macroeconomics, Elsevier, vol. 32(2), pages 685-691, June.
    34. Andersson, Fredrik N.G. & Karpestam, Peter, 2013. "CO2 emissions and economic activity: Short- and long-run economic determinants of scale, energy intensity and carbon intensity," Energy Policy, Elsevier, vol. 61(C), pages 1285-1294.
    35. Benhmad, François, 2013. "Bull or bear markets: A wavelet dynamic correlation perspective," Economic Modelling, Elsevier, vol. 32(C), pages 576-591.
    36. Jamal Bouoiyour & Refk Selmi, 2015. "GCC countries and the nexus between exchange rate and oil price: What wavelet decomposition reveals?," International Journal of Computational Economics and Econometrics, Inderscience Enterprises Ltd, vol. 5(1), pages 55-70.
    37. Andersson, Fredrik N. G., 2008. "Bandspectrum Cointegration," Working Papers 2008:18, Lund University, Department of Economics.
    38. Wang, Xinya & Liu, Huifang & Huang, Shupei & Lucey, Brian, 2019. "Identifying the multiscale financial contagion in precious metal markets," International Review of Financial Analysis, Elsevier, vol. 63(C), pages 209-219.
    39. Esparcia, Carlos & Jareño, Francisco & Umar, Zaghum, 2022. "Revisiting the safe haven role of Gold across time and frequencies during the COVID-19 pandemic," The North American Journal of Economics and Finance, Elsevier, vol. 61(C).
    40. Gök, Remzi & Bouri, Elie & Gemici, Eray, 2022. "Can Twitter-based economic uncertainty predict safe-haven assets under all market conditions and investment horizons?," Technological Forecasting and Social Change, Elsevier, vol. 185(C).
    41. Benhmad, François, 2012. "Modeling nonlinear Granger causality between the oil price and U.S. dollar: A wavelet based approach," Economic Modelling, Elsevier, vol. 29(4), pages 1505-1514.
    42. Andersson , Fredrik N. G. & Ljungberg, Jonas, 2014. "Grain Market Integration in the Baltic Sea Region in the 19th Century," Working Papers 2014:3, Lund University, Department of Economics.
    43. Baqaee, David, 2010. "Using wavelets to measure core inflation: The case of New Zealand," The North American Journal of Economics and Finance, Elsevier, vol. 21(3), pages 241-255, December.
    44. Gandjon Fankem, Gislain Stéphane & Fouda Mbesa, Lucien Cédric, 2023. "Business cycle synchronization and African monetary union: A wavelet analysis," Journal of Macroeconomics, Elsevier, vol. 77(C).
    45. Gallegati, Marco & Ramsey, James B., 2013. "Bond vs stock market's Q: Testing for stability across frequencies and over time," Journal of Empirical Finance, Elsevier, vol. 24(C), pages 138-150.
    46. Boubaker Heni & Canarella Giorgio & Miller Stephen M. & Gupta Rangan, 2017. "Time-varying persistence of inflation: evidence from a wavelet-based approach," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 21(4), pages 1-18, September.
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    48. Bilgili, Faik & Kuşkaya, Sevda & Toğuç, Nurhan & Muğaloğlu, Erhan & Koçak, Emrah & Bulut, Ümit & Bağlıtaş, H. Hilal, 2019. "A revisited renewable consumption-growth nexus: A continuous wavelet approach through disaggregated data," Renewable and Sustainable Energy Reviews, Elsevier, vol. 107(C), pages 1-19.
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    61. Siab Mamipour & Sanaz Yazdani & Elmira Sepehri, 2022. "Examining the spillover effects of volatile oil prices on Iran’s stock market using wavelet-based multivariate GARCH model," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 46(4), pages 785-801, October.
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    98. Jarno Kiviaho & Jussi Nikkinen & Vanja Piljak & Timo Rothovius, 2014. "The Co†movement Dynamics of European Frontier Stock Markets," European Financial Management, European Financial Management Association, vol. 20(3), pages 574-595, June.
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  18. Crowley, Patrick M., 2006. "Is there a Logical Integration Sequence After EMU?," Journal of Economic Integration, Center for Economic Integration, Sejong University, vol. 21, pages 1-20.

    Cited by:

    1. Setyastuti, Rini & Adiningsih, Sri & Widodo, Tri, 2018. "The Dynamics of Comparative Advantage in the ASEAN Region," MPRA Paper 86541, University Library of Munich, Germany.
    2. Setyastuti, Rini & Adiningsih, Sri & Widodo, Tri, 2018. "ASEAN Economic Community: Theoretical versus Practical Economic Integration," MPRA Paper 86919, University Library of Munich, Germany.
    3. Pariwat Kanithasen & Vacharakoon Jivakanont & Charnon Boonnuch, 2011. "AEC 2015: Ambitions, Expectations and Challenges ASEAN's Path towards Greater Economic and Financial Integration," Working Papers 2011-03, Monetary Policy Group, Bank of Thailand.

  19. Patrick M. Crowley, 2001. "The Institutional Implications of EMU," Journal of Common Market Studies, Wiley Blackwell, vol. 39(3), pages 385-404, September.

    Cited by:

    1. Hasan Engin Duran & Pawe³ Gajewski, 2023. "State-level Taylor rule and monetary policy stress," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 18(1), pages 89-120, March.
    2. Layna Mosley, 2004. "Government–Financial Market Relations after EMU," European Union Politics, , vol. 5(2), pages 181-209, June.
    3. Pagoulatos, George & Pelagidis, Theodore, 2004. "EMU and the New "Stabilization State": Demand Disturbances and Asymmetric Responses," MPRA Paper 106960, University Library of Munich, Germany.

  20. Patrick M. Crowley, 1996. "Emu, Maastricht, And The 1996 Intergovernmental Conference," Contemporary Economic Policy, Western Economic Association International, vol. 14(2), pages 41-55, April.

    Cited by:

    1. Layna Mosley, 2004. "Government–Financial Market Relations after EMU," European Union Politics, , vol. 5(2), pages 181-209, June.
    2. International Monetary Fund, 2007. "Euro Area Policies: Selected Issues," IMF Staff Country Reports 2007/259, International Monetary Fund.

Chapters

  1. Patrick M. Crowley & Andrew Hughes Hallett, 2014. "The Great Moderation Under the Microscope: Decomposition of Macroeconomic Cycles in US and UK Aggregate Demand," Dynamic Modeling and Econometrics in Economics and Finance, in: Marco Gallegati & Willi Semmler (ed.), Wavelet Applications in Economics and Finance, edition 127, pages 47-71, Springer.
    See citations under working paper version above.Sorry, no citations of chapters recorded.
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