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The yield curve and the macro-economy across time and frequencies

Citations

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Cited by:

  1. Akosah, Nana Kwame & Alagidede, Imhotep Paul & Schaling, Eric, 2020. "Testing for asymmetry in monetary policy rule for small-open developing economies: Multiscale Bayesian quantile evidence from Ghana," The Journal of Economic Asymmetries, Elsevier, vol. 22(C).
  2. Khalfaoui, Rabeh & Padhan, Hemachandra & Tiwari, Aviral Kumar & Hammoudeh, Shawkat, 2020. "Understanding the time-frequency dynamics of money demand, oil prices and macroeconomic variables: The case of India," Resources Policy, Elsevier, vol. 68(C).
  3. Jun‐Hyung Ko & Yoshito Funashima, 2019. "On the Sources of the Feldstein–Horioka Puzzle across Time and Frequencies," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 81(4), pages 889-910, August.
  4. Luís Aguiar-Conraria & Manuel M. F. Martins & Maria Joana Soares, 2019. "The Phillips Curve at 60: time for time and frequency," NIPE Working Papers 04/2019, NIPE - Universidade do Minho.
  5. Paccagnini, Alessia, 2016. "The macroeconomic determinants of the US term structure during the Great Moderation," Economic Modelling, Elsevier, vol. 52(PA), pages 216-225.
  6. B. De Backer & M. Deroose & Ch. Van Nieuwenhuyze, 2019. "Is a recession imminent? The signal of the yield curve," Economic Review, National Bank of Belgium, issue i, pages 69-93, June.
  7. Yan, Chuanpeng & Huang, Kevin X.D., 2020. "Financial cycle and business cycle: An empirical analysis based on the data from the U.S," Economic Modelling, Elsevier, vol. 93(C), pages 693-701.
  8. Hännikäinen, Jari, 2017. "When does the yield curve contain predictive power? Evidence from a data-rich environment," International Journal of Forecasting, Elsevier, vol. 33(4), pages 1044-1064.
  9. Audrino, Francesco & Serwart, Jan, 2024. "Yield curve trading strategies exploiting sentiment data," The North American Journal of Economics and Finance, Elsevier, vol. 74(C).
  10. Cai, Xiao Jing & Tian, Shuairu & Yuan, Nannan & Hamori, Shigeyuki, 2017. "Interdependence between oil and East Asian stock markets: Evidence from wavelet coherence analysis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 48(C), pages 206-223.
  11. Filip Smolik & Lukas Vacha, 2015. "Time-scale analysis of co-movement in EU sovereign bond markets," Papers 1506.03347, arXiv.org, revised Mar 2016.
  12. Verona, Fabio, 2016. "Time–frequency characterization of the U.S. financial cycle," Economics Letters, Elsevier, vol. 144(C), pages 75-79.
  13. Luís Francisco Aguiar-Conraria & Manuel M. F. Martins & Maria Joana Soares, 2014. "Analyzing the Taylor Rule with Wavelet Lenses," NIPE Working Papers 18/2014, NIPE - Universidade do Minho.
  14. Yifeng Yan & Ju'e Guo, 2015. "The Sovereign Yield Curve and the Macroeconomy in China," Pacific Economic Review, Wiley Blackwell, vol. 20(3), pages 415-441, August.
  15. Lubik, Thomas A. & Matthes, Christian & Verona, Fabio, 2019. "Assessing U.S. aggregate fluctuations across time and frequencies," Bank of Finland Research Discussion Papers 5/2019, Bank of Finland.
  16. Aguiar-Conraria, Luís & Martins, Manuel M.F. & Soares, Maria Joana, 2020. "Okun’s Law across time and frequencies," Journal of Economic Dynamics and Control, Elsevier, vol. 116(C).
  17. Flor, Michael A. & Klarl, Torben, 2017. "On the cyclicity of regional house prices: New evidence for U.S. metropolitan statistical areas," Journal of Economic Dynamics and Control, Elsevier, vol. 77(C), pages 134-156.
  18. Rita Sousa & Luís Aguiar-Conraria & Maria Joana Soares, 2014. "Carbon Financial Markets: a time-frequency analysis of CO2 price drivers," NIPE Working Papers 03/2014, NIPE - Universidade do Minho.
  19. 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).
  20. Shekhar Mishra & Avik Sinha & Arshian Sharif & Norazah Mohd Suki, 2020. "Dynamic linkages between tourism, transportation, growth and carbon emission in the USA: evidence from partial and multiple wavelet coherence," Current Issues in Tourism, Taylor & Francis Journals, vol. 23(21), pages 2733-2755, November.
  21. Baruník, Jozef & Kočenda, Evžen & Vácha, Lukáš, 2016. "Gold, oil, and stocks: Dynamic correlations," International Review of Economics & Finance, Elsevier, vol. 42(C), pages 186-201.
  22. Jiang, Chun & Chang, Tsangyao & Li, Xiao-Lin, 2015. "Money growth and inflation in China: New evidence from a wavelet analysis," International Review of Economics & Finance, Elsevier, vol. 35(C), pages 249-261.
  23. Dewandaru, Ginanjar & Masih, Rumi & Masih, A. Mansur M., 2016. "What can wavelets unveil about the vulnerabilities of monetary integration? A tale of Eurozone stock markets," Economic Modelling, Elsevier, vol. 52(PB), pages 981-996.
  24. Hegelund, Erik & Taalbi, Josef, 2023. "What determines unemployment in the long run? Band spectrum regression on ten countries 1913–2016," Structural Change and Economic Dynamics, Elsevier, vol. 64(C), pages 144-167.
  25. Funashima, Yoshito, 2015. "The Fed-Induced Political Business Cycle," MPRA Paper 63654, University Library of Munich, Germany.
  26. Yoshito Funashima, 2018. "Macroeconomic policy coordination between Japanese central and local governments," Empirical Economics, Springer, vol. 54(4), pages 1631-1651, June.
  27. Faria, Gonçalo & Verona, Fabio, 2018. "Forecasting stock market returns by summing the frequency-decomposed parts," Journal of Empirical Finance, Elsevier, vol. 45(C), pages 228-242.
  28. 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.
  29. Faria, Gonçalo & Verona, Fabio, 2018. "The equity risk premium and the low frequency of the term spread," Research Discussion Papers 7/2018, Bank of Finland.
  30. Funashima, Yoshito, 2017. "Time-varying leads and lags across frequencies using a continuous wavelet transform approach," Economic Modelling, Elsevier, vol. 60(C), pages 24-28.
  31. Thomas Conlon & Brian M. Lucey & Gazi Salah Uddin, 2018. "Is gold a hedge against inflation? A wavelet time-scale perspective," Review of Quantitative Finance and Accounting, Springer, vol. 51(2), pages 317-345, August.
  32. Funashima, Yoshito, 2014. "Macroeconomic policy coordination between Japanese central and local governments," MPRA Paper 59821, University Library of Munich, Germany.
  33. Funashima, Yoshito, 2016. "The Fed-induced political business cycle: Empirical evidence from a time–frequency view," Economic Modelling, Elsevier, vol. 54(C), pages 402-411.
  34. repec:zbw:bofrdp:2017_001 is not listed on IDEAS
  35. Guidolin, Massimo & Pedio, Manuela, 2019. "Forecasting and trading monetary policy effects on the riskless yield curve with regime switching Nelson–Siegel models," Journal of Economic Dynamics and Control, Elsevier, vol. 107(C), pages 1-1.
  36. Aguiar-Conraria, Luis & Martins, Manuel M.F. & Soares, Maria Joana, 2018. "Estimating the Taylor rule in the time-frequency domain," Journal of Macroeconomics, Elsevier, vol. 57(C), pages 122-137.
  37. repec:zbw:bofrdp:2019_012 is not listed on IDEAS
  38. Sowmya, Subramaniam & Prasanna, Krishna & Bhaduri, Saumitra, 2016. "Linkages in the term structure of interest rates across sovereign bond markets," Emerging Markets Review, Elsevier, vol. 27(C), pages 118-139.
  39. Dewandaru, Ginanjar & Masih, Rumi & Masih, A. Mansur M., 2015. "Why is no financial crisis a dress rehearsal for the next? Exploring contagious heterogeneities across major Asian stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 419(C), pages 241-259.
  40. Vacha, Lukas & Janda, Karel & Kristoufek, Ladislav & Zilberman, David, 2013. "Time–frequency dynamics of biofuel–fuel–food system," Energy Economics, Elsevier, vol. 40(C), pages 233-241.
  41. Luís Aguiar-Conraria & Pedro Magalhães & Maria Soares, 2013. "The nationalization of electoral cycles in the United States: a wavelet analysis," Public Choice, Springer, vol. 156(3), pages 387-408, September.
  42. 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.
  43. Rabeh Khalfaoui & Sakiru Adebola Solarin & Adel Al-Qadasi & Sami Ben Jabeur, 2022. "Dynamic causality interplay from COVID-19 pandemic to oil price, stock market, and economic policy uncertainty: evidence from oil-importing and oil-exporting countries," Annals of Operations Research, Springer, vol. 313(1), pages 105-143, June.
  44. Yoshito Funashima, 2017. "Wagner’s law versus displacement effect," Applied Economics, Taylor & Francis Journals, vol. 49(7), pages 619-634, February.
  45. Nathan Zavanelli, 2023. "Wavelet Analysis for Time Series Financial Signals via Element Analysis," Papers 2301.13255, arXiv.org.
  46. 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.
  47. Funashima, Yoshito, 2015. "Automatic stabilizers in the Japanese tax system," Journal of Asian Economics, Elsevier, vol. 39(C), pages 86-93.
  48. Bulíř, Aleš & Vlček, Jan, 2021. "Monetary transmission: Are emerging market and low-income countries different?," Journal of Policy Modeling, Elsevier, vol. 43(1), pages 95-108.
  49. Funashima Yoshito, 2021. "Time–Frequency Regression," Journal of Econometric Methods, De Gruyter, vol. 10(1), pages 21-32, January.
  50. Gonçalo Faria & Fabio Verona, 2016. "Forecasting the equity risk premium with frequency-decomposed predictors," Working Papers de Economia (Economics Working Papers) 06, Católica Porto Business School, Universidade Católica Portuguesa.
  51. Marczak, Martyna & Gómez, Víctor, 2015. "Cyclicality of real wages in the USA and Germany: New insights from wavelet analysis," Economic Modelling, Elsevier, vol. 47(C), pages 40-52.
  52. Bekiros Stelios & Muzaffar Ahmed T. & Uddin Gazi S. & Vidal-García Javier, 2017. "Money supply and inflation dynamics in the Asia-Pacific economies: a time-frequency approach," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 21(3), pages 1-12, June.
  53. Deng, Chuang & Zhao, Xiuyi & Xu, Man, 2022. "Financial cycle and the effect of monetary policy," Finance Research Letters, Elsevier, vol. 47(PA).
  54. Abid, Fathi & Kaffel, Bilel, 2018. "Time–frequency wavelet analysis of the interrelationship between the global macro assets and the fear indexes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 1028-1045.
  55. 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.
  56. Gonçalo Faria & Fabio Verona, 2016. "Forecasting the equity risk premium with frequency-decomposed predictors," Working Papers de Economia (Economics Working Papers) 06, Católica Porto Business School, Universidade Católica Portuguesa.
  57. Gallegati, Marco & Ramsey, James B. & Semmler, Willi, 2014. "Interest rate spreads and output: A time scale decomposition analysis using wavelets," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 283-290.
  58. Bayaa, Yasmeen & Qadan, Mahmoud, 2024. "The shape of the Treasury yield curve and commodity prices," International Review of Financial Analysis, Elsevier, vol. 94(C).
  59. Firouzi, Shahrokh & Wang, Xiangning, 2021. "The interrelationship between order flow, exchange rate, and the role of American economic news," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
  60. Erdost Torun & Afife Duygu Ayhan Akdeniz & Erhan Demireli & Simon Grima, 2022. "Long-Term US Economic Growth and the Carbon Dioxide Emissions Nexus: A Wavelet-Based Approach," Sustainability, MDPI, vol. 14(17), pages 1-16, August.
  61. repec:zbw:bofrdp:2018_007 is not listed on IDEAS
  62. Stona, Filipe & Caldeira, João F., 2019. "Do U.S. factors impact the Brazilian yield curve? Evidence from a dynamic factor model," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 76-89.
  63. Torben Klarl, 2016. "The nexus between housing and GDP re-visited: A wavelet coherence view on housing and GDP for the U.S," Economics Bulletin, AccessEcon, vol. 36(2), pages 704-720.
  64. Funashima, Yoshito, 2015. "Wagner's law versus displacement effect," MPRA Paper 68390, University Library of Munich, Germany.
  65. Sousa, Rita & Aguiar-Conraria, Luís & Soares, Maria Joana, 2014. "Carbon financial markets: A time–frequency analysis of CO2 prices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 414(C), pages 118-127.
  66. Smolik, Filip & Vacha, Lukas, 2015. "Time-scale analysis of sovereign bonds market co-movement in the EU," FinMaP-Working Papers 44, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
  67. Idilbi-Bayaa, Yasmeen & Qadan, Mahmoud, 2022. "What the current yield curve says, and what the future prices of energy do," Resources Policy, Elsevier, vol. 75(C).
  68. Fernandes, Marcelo & Vieira, Fausto, 2019. "A dynamic Nelson–Siegel model with forward-looking macroeconomic factors for the yield curve in the US," Journal of Economic Dynamics and Control, Elsevier, vol. 106(C), pages 1-1.
  69. Vácha, Lukáš & Šmolík, Filip & Baxa, Jaromír, 2019. "Comovement and disintegration of EU sovereign bond markets during the crisis," International Review of Economics & Finance, Elsevier, vol. 64(C), pages 541-556.
  70. Krishna Prasanna & Subramaniam Sowmya, 2017. "Yield curve in India and its interactions with the US bond market," International Economics and Economic Policy, Springer, vol. 14(2), pages 353-375, April.
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