Macroeconomics with a Thick Pen
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Schüler, Yves S. & Hiebert, Paul P. & Peltonen, Tuomas A., 2020. "Financial cycles: Characterisation and real-time measurement," Journal of International Money and Finance, Elsevier, vol. 100(C).
- Fryzlewicz, Piotr & Oh, H. S., 2011. "Thick pen transformation for time series," LSE Research Online Documents on Economics 37663, London School of Economics and Political Science, LSE Library.
- Ulrich K. Müller & Mark W. Watson, 2018. "Long†Run Covariability," Econometrica, Econometric Society, vol. 86(3), pages 775-804, May.
- Christophe Croux & Mario Forni & Lucrezia Reichlin, 2001.
"A Measure Of Comovement For Economic Variables: Theory And Empirics,"
The Review of Economics and Statistics, MIT Press, vol. 83(2), pages 232-241, May.
- Croux, Christophe & Forni, Mario & Reichlin, Lucrezia, 1999. "A Measure of Comovement for Economic Variables: Theory and Empirics," CEPR Discussion Papers 2339, C.E.P.R. Discussion Papers.
- Christophe Croux & Mario Forni & Lucrezia Reichlin, 2001. "A measure of co-movement for economic variables: theory and empirics," ULB Institutional Repository 2013/10139, ULB -- Universite Libre de Bruxelles.
- 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.
- Jozef BarunÃk & Tobias Kley, 2019.
"Quantile coherency: A general measure for dependence between cyclical economic variables,"
The Econometrics Journal, Royal Economic Society, vol. 22(2), pages 131-152.
- Jozef Barun'ik & Tobias Kley, 2015. "Quantile Coherency: A General Measure for Dependence between Cyclical Economic Variables," Papers 1510.06946, arXiv.org, revised Dec 2018.
- Jach, Agnieszka, 2017. "International stock market comovement in time and scale outlined with a thick pen," Journal of Empirical Finance, Elsevier, vol. 43(C), pages 115-129.
- P. Fryzlewicz & H.‐S. Oh, 2011. "Thick pen transformation for time series," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 73(4), pages 499-529, September.
- Papell, David H. & Prodan, Ruxandra, 2020. "Long-run purchasing power parity redux," Journal of International Money and Finance, Elsevier, vol. 109(C).
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Gronwald, Marc & Jin, Xin, 2024. "Measuring world oil market integration with a Thick Pen," Energy Economics, Elsevier, vol. 130(C).
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Gronwald, Marc & Jin, Xin, 2024. "Measuring world oil market integration with a Thick Pen," Energy Economics, Elsevier, vol. 130(C).
- Wadud, Sania & Gronwald, Marc & Durand, Robert B. & Lee, Seungho, 2023. "Co-movement between commodity and equity markets revisited—An application of the Thick Pen method," International Review of Financial Analysis, Elsevier, vol. 87(C).
- Hwang, Sun Ho & Kim, Yun Jung, 2021. "International output synchronization at different frequencies," Economic Modelling, Elsevier, vol. 104(C).
- Lasse Holmström & Leena Pasanen, 2017. "Statistical Scale Space Methods," International Statistical Review, International Statistical Institute, vol. 85(1), pages 1-30, April.
- Tommaso Proietti, 2023.
"Peaks, gaps, and time‐reversibility of economic time series,"
Journal of Time Series Analysis, Wiley Blackwell, vol. 44(1), pages 43-68, January.
- Tommaso Proietti, 2020. "Peaks, Gaps, and Time Reversibility of Economic Time Series," CEIS Research Paper 492, Tor Vergata University, CEIS, revised 17 Jun 2020.
- Mandler, Martin & Scharnagl, Michael, 2022.
"Financial cycles across G7 economies: A view from wavelet analysis,"
The Journal of Economic Asymmetries, Elsevier, vol. 26(C).
- Mandler, Martin & Scharnagl, Michael, 2019. "Financial cycles across G7 economies: A view from wavelet analysis," Discussion Papers 22/2019, Deutsche Bundesbank.
- Minji Kim & Hee-Seok Oh & Yaeji Lim, 2023. "Zero-Inflated Time Series Clustering Via Ensemble Thick-Pen Transform," Journal of Classification, Springer;The Classification Society, vol. 40(2), pages 407-431, July.
- Jach, Agnieszka, 2017. "International stock market comovement in time and scale outlined with a thick pen," Journal of Empirical Finance, Elsevier, vol. 43(C), pages 115-129.
- Salah Uddin, Gazi & Lucey, Brian & Rahman, Md Lutfur & Stenvall, David, 2024. "Quantile coherency across bonds, commodities, currencies, and equities," Journal of Commodity Markets, Elsevier, vol. 33(C).
- Mensi, Walid & Lee, Yun-Jung & Vo, Xuan Vinh & Yoon, Seong-Min, 2021. "Quantile connectedness among gold, gold mining, silver, oil and energy sector uncertainty indexes," Resources Policy, Elsevier, vol. 74(C).
- Lubos Hanus & Lukas Vacha, 2015.
"Business cycle synchronization of the Visegrad Four and the European Union,"
Working Papers IES
2015/19, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Jul 2015.
- Hanus, Lubos & Vacha, Lukas, 2015. "Business cycle synchronization of the Visegrad Four and the European Union," FinMaP-Working Papers 42, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
- Michis Antonis A, 2009. "Regression Analysis of Marketing Time Series: A Wavelet Approach with Some Frequency Domain Insights," Review of Marketing Science, De Gruyter, vol. 7(1), pages 1-43, July.
- Jozef BarunÃk & Tobias Kley, 2019.
"Quantile coherency: A general measure for dependence between cyclical economic variables,"
The Econometrics Journal, Royal Economic Society, vol. 22(2), pages 131-152.
- Jozef Barun'ik & Tobias Kley, 2015. "Quantile Coherency: A General Measure for Dependence between Cyclical Economic Variables," Papers 1510.06946, arXiv.org, revised Dec 2018.
- Karim, Sitara & Naeem, Muhammad Abubakr & Lucey, Brian M., 2022. "Do ethics outpace sins?," Finance Research Letters, Elsevier, vol. 47(PB).
- António Rua, 2012. "Wavelets in economics," Economic Bulletin and Financial Stability Report Articles and Banco de Portugal Economic Studies, Banco de Portugal, Economics and Research Department.
- Ludmila Fadejeva & Aleksejs Melihovs, 2008.
"The Baltic states and Europe: common factors of economic activity,"
Baltic Journal of Economics, Baltic International Centre for Economic Policy Studies, vol. 8(1), pages 75-96, October.
- Ludmila Fadejeva & Aleksejs Melihovs, 2008. "The Baltic States and Europe: Common Factors of Economic Activity," Working Papers 2008/03, Latvijas Banka.
- Zied Ftiti & Aviral Tiwari & Amél Belanès & Khaled Guesmi, 2015. "Tests of Financial Market Contagion: Evolutionary Cospectral Analysis Versus Wavelet Analysis," Computational Economics, Springer;Society for Computational Economics, vol. 46(4), pages 575-611, December.
- Avouyi-Dovi, S. & Matheron, J., 2003.
"Interactions between business cycles, stock market cycles and interest rates: the stylised facts,"
Financial Stability Review, Banque de France, issue 3, pages 80-99, November.
- Avouyi-Dovi, S. & Matheron, J., 2005. "Interactions between Business Cycles, stock Market Cycles and Interest Rates: the Stylised Facts," Working papers 121, Banque de France.
- Schüler, Yves S. & Hiebert, Paul P. & Peltonen, Tuomas A., 2020. "Financial cycles: Characterisation and real-time measurement," Journal of International Money and Finance, Elsevier, vol. 100(C).
- Jiang, Yonghong & Wu, Lanxin & Tian, Gengyu & Nie, He, 2021. "Do cryptocurrencies hedge against EPU and the equity market volatility during COVID-19? – New evidence from quantile coherency analysis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 72(C).
More about this item
Keywords
co-movement; macroeconomics; Thick Pen; covariability;All these keywords.
JEL classification:
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)
- G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
NEP fields
This paper has been announced in the following NEP Reports:- NEP-GRO-2023-07-10 (Economic Growth)
- NEP-MFD-2023-07-10 (Microfinance)
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ces:ceswps:_10430. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Klaus Wohlrabe (email available below). General contact details of provider: https://edirc.repec.org/data/cesifde.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.