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1. Money Growth and Inflation—How to Account for the Differences in Empirical Results. (2025). Mandler, Martin ; Scharnagl, Michael.
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2. On the time-frequency effects of macroeconomic policy on growth cycles in Brazil. (2025). Monteiro, Valdeir ; Alves, Douglas ; Matos, Paulo.
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3. Analysis of the Relationship between Inflation, Exchange Rate and Household Expenditures in the Russian Economy Using Wavelet Analysis. (2025). Serkov, Leonid A.
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4. On the Risk-based Contagion of G7 Banking System and the COVID-19 Pandemic. (2024). da Silva, Cristiano ; Costa, Antonio ; Matos, Paulo.
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5. Mortgages, house prices, and business cycle dynamic: A medium-run exploration using the continuous wavelet transform. (2024). Giri, Federico ; Andreani, Michele.
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7. Financial cycle comovement with monetary and macroprudential policy and global factors: Evidence from India. (2024). Mundra, Sruti ; Bicchal, Motilal.
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8. Public attention, sentiment and the default of Silicon Valley Bank. (2024). Bales, Stephan ; Burghof, Hans-Peter.
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10. Whether and when did bitcoin sentiment matter for investors? Before and during the COVID-19 pandemic. (2023). Mugaloglu, Erhan ; Tekin, Hasan ; Polat, Ali Yavuz ; Mualolu, Erhan ; Aysan, Ahmet Faruk.
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11. Phillips curve and the exchange rate pass-through: a time–frequency approach. (2023). Ferreira, Roberto ; Alves, Weider Loureto.
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12. State-level Taylor rule and monetary policy stress. (2023). Gajewski, Pawel ; Duran, Hasan Engin.
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13. Resilient Control for Macroeconomic Models. (2023). Hudgins, David ; Crowley, Patrick.
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15. The Phillips curve at 65: Time for time and frequency. (2023). Martins, Manuel ; Soares, Maria Joana ; Aguiar-Conraria, Luis.
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16. Risk factors for involvement in care proceedings for mothers receiving treatment for substance use: A cohort study using linked and administrative data in South London. (2023). Norton, Sam ; Canfield, Martha ; Wijlaars, Linda Pmm ; Downs, Johnny ; Gilchrist, Gail.
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17. The Brazilian financial market reaction to COVID-19: A wavelet analysis. (2022). Matos, Paulo ; da Silva, Cristiano ; Costa, Antonio.
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19. The medium-run Phillips curve: A time–frequency investigation for the UK. (2022). Giri, Federico ; Gallegati, Marco ; Fratianni, Michele.
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21. The relationship between headline, core, and energy inflation: A wavelet investigation. (2022). Giri, Federico.
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22. The Evolution of US and UK Real GDP Components in the Time-Frequency Domain: A Continuous Wavelet Analysis. (2021). Crowley, Patrick ; Hallett, Andrew Hughes.
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23. Okun’s law revisited in the time–frequency domain: introducing unemployment into a wavelet-based control model. (2021). Hudgins, David ; Crowley, Patrick.
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24. Assessing the Time-Frequency Co-Movements among the Five Largest Engineering Consulting Companies: A Wavelet-Base Metrics of Contagion and VaR Ratio. (2021). de Melo, Paulo ; Junior, Marcos Albuquerque ; Filipe, Jose Antonio ; da Costa, Cristiano.
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25. COVID-19, stock market and sectoral contagion in US: a time-frequency analysis. (2021). Matos, Paulo ; da Silva, Cristiano ; Costa, Antonio.
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26. Credit, default, financial system and development. (2021). Matos, Paulo ; Reinaldo, Luciana ; Santos, Davi Dos ; da Silva, Cristiano.
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27. Inflation synchronization among the G7and China: The important role of oil inflation. (2021). Sousa, Ricardo ; Elsayed, Ahmed ; Hammoudeh, Shawkat.
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29. Efekt fiskalny uszczelniania systemu podatkowego w Polsce: próba oszacowania w zakresie podatku CIT. (2021). Konopczak, Karolina ; Oykowski, Aleksander.
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30. How effective is the Taylor rule? Some insights from the time-frequency domain. (2020). Hudgins, David ; Crowley, Patrick.
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32. Time-frequency Connectedness between Coal Market Prices, New Energy Stock Prices and CO 2 Emissions Trading Prices in China. (2020). Wu, Yi-Fan ; Li, Xin ; Jiang, Chun.
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33. Estimating the income inequality-health relationship for the United States between 1941 and 2015: Will the relevant frequencies please stand up?. (2020). Klarl, Torben ; Antony, Jürgen.
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35. Money stock versus monetary base in time–frequency exchange rate determination. (2020). Funashima, Yoshito.
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36. Okun’s Law across time and frequencies. (2020). Martins, Manuel ; Aguiar-Conraria, Luís ; Soares, Maria Joana.
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37. Estimating the income inequality-health relationship for the United States between 1941 and 2015: Will the relevant frequencies please stand up?. (2020). Klarl, Torben ; Antony, Jürgen.
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38. The Phillips Curve at 60: time for time and frequency. (2019). Martins, Manuel ; Aguiar-Conraria, Luís ; Soares, Maria Joana.
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39. The Phillips Curve at 60: time for time and frequency. (2019). Martins, Manuel ; Aguiar-Conraria, Luís ; Soares, Maria Joana.
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40. The Phillips Curve at 60: time for time and frequency. (2019). Martins, Manuel ; Aguiar-Conraria, Luís ; Soares, Maria Joana.
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41. Time frequency analysis of the commonalities between Bitcoin and major Cryptocurrencies: Portfolio risk management implications. (2019). Mensi, Walid ; Kang, Sang Hoon ; Ur, Mobeen ; Al-Yahyaee, Khamis Hamed ; Wanas, Idries Mohammad.
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42. The Phillips Curve at 60: time for time and frequency. (2019). Martins, Manuel ; Aguiar-Conraria, Luís ; Soares, Maria Joana.
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43. What causes business cycles to elongate, or recessions to intensify?. (2018). Crowley, Patrick ; Hallett, Andrew Hughes.
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