Adaptive ARFIMA models with applications to inflation
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DOI: 10.1016/j.econmod.2012.07.011
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Citations
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Cited by:
- Claudio Morana, 2014. "Factor Vector Autoregressive Estimation of Heteroskedastic Persistent and Non Persistent Processes Subject to Structural Breaks," Working Papers 273, University of Milano-Bicocca, Department of Economics, revised May 2014.
- Claudio, Morana, 2015.
"The US$/€ exchange rate: Structural modeling and forecasting during the recent financial crises,"
Working Papers
321, University of Milano-Bicocca, Department of Economics, revised 28 Dec 2015.
- Claudio Morana, 2016. "The US$/€ exchange rate: Structural modeling and forecasting during the recent financial crises," CeRP Working Papers 155, Center for Research on Pensions and Welfare Policies, Turin (Italy).
- Kunal Saha & Vinodh Madhavan & Chandrashekhar G. R. & David McMillan, 2020. "Pitfalls in long memory research," Cogent Economics & Finance, Taylor & Francis Journals, vol. 8(1), pages 1733280-173, January.
- Pami Dua & Deepika Goel, 2021. "Inflation Persistence in India," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(3), pages 525-553, September.
- Baillie Richard T. & Kapetanios George, 2016. "On the estimation of short memory components in long memory time series models," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 20(4), pages 365-375, September.
- Dark, Jonathan, 2024. "An adaptive long memory conditional correlation model," Journal of Empirical Finance, Elsevier, vol. 75(C).
- Morana, Claudio, 2024.
"A new macro-financial condition index for the euro area,"
Econometrics and Statistics, Elsevier, vol. 29(C), pages 64-87.
- Claudio Morana, 2021. "A new macro-financial condition index for the euro area," Working Papers 467, University of Milano-Bicocca, Department of Economics, revised Sep 2021.
- Claudio Morana, 2021. "A new macro-financial condition index for the euro area," Working Paper series 21-07, Rimini Centre for Economic Analysis, revised Sep 2021.
- Chen, Xuehui & Zhu, Hongli & Zhang, Xinru & Zhao, Lutao, 2022. "A novel time-varying FIGARCH model for improving volatility predictions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 589(C).
- Avci-Surucu, Ezgi & Aydogan, A. Kursat & Akgul, Doganbey, 2016. "Bidding structure, market efficiency and persistence in a multi-time tariff setting," Energy Economics, Elsevier, vol. 54(C), pages 77-87.
- Jonathan Dark, 2021. "The lead of oil price rises on US equity market beliefs and preferences," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(11), pages 1861-1887, November.
- Chronis, George A., 2016. "Modelling the extreme variability of the US Consumer Price Index inflation with a stable non-symmetric distribution," Economic Modelling, Elsevier, vol. 59(C), pages 271-277.
- Abadir, Karim M. & Caggiano, Giovanni & Talmain, Gabriel, 2013.
"Nelson–Plosser revisited: The ACF approach,"
Journal of Econometrics, Elsevier, vol. 175(1), pages 22-34.
- Karim Abadir & Giovanni Caggiano & Gabriel Talmain, 2005. "Nelson-Plosser Revisited: the ACF Approach," Working Papers 2005_7, Business School - Economics, University of Glasgow.
- Karim M. Abadir & Gabriel Talmain & Giovanni Caggiano, 2008. "Nelson-Plosser revisited: the ACF approach," Working Paper series 18_08, Rimini Centre for Economic Analysis.
- Baillie, Richard T. & Cho, Dooyeon & Rho, Seunghwa, 2024. "Combining Long and Short Memory in Time Series Models: the Role of Asymptotic Correlations of the MLEs," Econometrics and Statistics, Elsevier, vol. 29(C), pages 88-112.
- Stefanos Kechagias & Vladas Pipiras, 2020. "Modeling bivariate long‐range dependence with general phase," Journal of Time Series Analysis, Wiley Blackwell, vol. 41(2), pages 268-292, March.
- Davide Delle Monache & Stefano Grassi & Paolo Santucci de Magistris, 2017. "Does the ARFIMA really shift?," CREATES Research Papers 2017-16, Department of Economics and Business Economics, Aarhus University.
- Claudio Morana, 2014.
"New insights on the US OIS spreads term structure during the recent financial turmoil,"
Applied Financial Economics, Taylor & Francis Journals, vol. 24(5), pages 291-317, March.
- Claudio Morana, 2013. "New Insights on the US OIS Spreads Term Structure During the Recent Financial Turmoil," CeRP Working Papers 137, Center for Research on Pensions and Welfare Policies, Turin (Italy).
- Shyh-Wei Chen & Chi-Sheng Hsu & Cyun-Jhen Pen, 2016. "Are Inflation Rates Mean-reverting Processes? Evidence from Six Asian Countries," Journal of Economics and Management, College of Business, Feng Chia University, Taiwan, vol. 12(1), pages 119-155, February.
- Belkhouja, Mustapha & Mootamri, Imene, 2016. "Long memory and structural change in the G7 inflation dynamics," Economic Modelling, Elsevier, vol. 54(C), pages 450-462.
- Chen, Shyh-Wei & Hsu, Chi-Sheng, 2016. "Threshold, smooth transition and mean reversion in inflation: New evidence from European countries," Economic Modelling, Elsevier, vol. 53(C), pages 23-36.
- Claudio Morana, 2013. "Factor Vector Autoregressive Estimation of Heteroskedastic Persistent and Non Persistent Processes Subject to Structural Breaks: New Insights on the US OIS SPreads Term Structure," Working Papers 233, University of Milano-Bicocca, Department of Economics, revised Feb 2013.
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More about this item
Keywords
ARFIMA; FIGARCH; Long memory; Structural change; Inflation; G7;All these keywords.
JEL classification:
- C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
Statistics
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