Co-movement of precious metals and forecasting using scale by scale wavelet transform
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DOI: 10.1142/S2424786317500074
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- Hannan, E. J., 1981. "Estimating the dimension of a linear system," Journal of Multivariate Analysis, Elsevier, vol. 11(4), pages 459-473, December.
- Luís Francisco Aguiar & Maria Joana Soares, 2010.
"The Continuous Wavelet Transform: A Primer,"
NIPE Working Papers
23/2010, NIPE - Universidade do Minho.
- Luís Francisco Aguiar & Maria Joana Soares, 2011. "The Continuous Wavelet Transform: A Primer," NIPE Working Papers 16/2011, NIPE - Universidade do Minho.
- De Mol, Christine & Giannone, Domenico & Reichlin, Lucrezia, 2008.
"Forecasting using a large number of predictors: Is Bayesian shrinkage a valid alternative to principal components?,"
Journal of Econometrics, Elsevier, vol. 146(2), pages 318-328, October.
- Reichlin, Lucrezia & Giannone, Domenico & De Mol, Christine, 2006. "Forecasting Using a Large Number of Predictors: Is Bayesian Regression a Valid Alternative to Principal Components?," CEPR Discussion Papers 5829, C.E.P.R. Discussion Papers.
- De Mol, Christine & Giannone, Domenico & Reichlin, Lucrezia, 2006. "Forecasting using a large number of predictors: is Bayesian regression a valid alternative to principal components?," Discussion Paper Series 1: Economic Studies 2006,32, Deutsche Bundesbank.
- Giannone, Domenico & Reichlin, Lucrezia & De Mol, Christine, 2006. "Forecasting using a large number of predictors: Is Bayesian regression a valid alternative to principal components?," Working Paper Series 700, European Central Bank.
- Athanasopoulos, George & Vahid, Farshid, 2008.
"VARMA versus VAR for Macroeconomic Forecasting,"
Journal of Business & Economic Statistics, American Statistical Association, vol. 26, pages 237-252, April.
- George Athanasopoulos & Farshid Vahid, 2006. "VARMA versus VAR for Macroeconomic Forecasting," Monash Econometrics and Business Statistics Working Papers 4/06, Monash University, Department of Econometrics and Business Statistics.
- Dias, Gustavo Fruet & Kapetanios, George, 2018.
"Estimation and forecasting in vector autoregressive moving average models for rich datasets,"
Journal of Econometrics, Elsevier, vol. 202(1), pages 75-91.
- Gustavo Fruet Dias & George Kapetanios, 2014. "Estimation and Forecasting in Vector Autoregressive Moving Average Models for Rich Datasets," CREATES Research Papers 2014-37, Department of Economics and Business Economics, Aarhus University.
- 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.
- Jozef Barunik & Evzen Kocenda & Lukas Vacha, 2013. "Gold, Oil, and Stocks," Papers 1308.0210, arXiv.org, revised Mar 2014.
- Jozef Baruník & Evžen Kocenda & Lukáš Vácha, 2015. "Gold, Oil, and Stocks: Dynamic Correlations," CESifo Working Paper Series 5333, CESifo.
- Baruník, Jozef & Kočenda, Evžen & Vácha, Lukáš, 2014. "Gold, Oil, and Stocks," FinMaP-Working Papers 14, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
- Emre Kahraman & Gazanfer Unal, 2016. "Multiple Wavelet Coherency Analysis and Forecasting of Metal Prices," Papers 1602.01960, arXiv.org.
- Luís Aguiar-Conraria & Maria Joana Soares, 2014. "The Continuous Wavelet Transform: Moving Beyond Uni- And Bivariate Analysis," Journal of Economic Surveys, Wiley Blackwell, vol. 28(2), pages 344-375, April.
- Andrea Carriero & George Kapetanios & Massimiliano Marcellino, 2008. "Forecasting with Dynamic Models using Shrinkage-based Estimation," Working Papers 635, Queen Mary University of London, School of Economics and Finance.
- Andrea Carriero & George Kapetanios & Massimiliano Marcellino, 2008.
"Forecasting with Dynamic Models using Shrinkage-based Estimation,"
Working Papers
635, Queen Mary University of London, School of Economics and Finance.
- Andrea Carriero & George Kapetanios & Massimiliano Marcellino, 2008. "Forecasting with Dynamic Models using Shrinkage-based Estimation," Working Papers 635, Queen Mary University of London, School of Economics and Finance.
- Adil Yilmaz & Gazanfer Unal, 2016. "Co-movement analysis of Asian stock markets against FTSE100 and S&P 500: Wavelet-based approach," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 3(04), pages 1-19, December.
- Stock J.H. & Watson M.W., 2002. "Forecasting Using Principal Components From a Large Number of Predictors," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 1167-1179, December.
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Cited by:
- Alqaralleh, Huthaifa & Canepa, Alessandra, 2022. "The role of precious metals in portfolio diversification during the Covid19 pandemic: A wavelet-based quantile approach," Resources Policy, Elsevier, vol. 75(C).
- Tweneboah, George & Alagidede, Paul, 2018. "Interdependence structure of precious metal prices: A multi-scale perspective," Resources Policy, Elsevier, vol. 59(C), pages 427-434.
- Nekhili, Ramzi & Sultan, Jahangir & Mensi, Walid, 2021. "Co-movements among precious metals and implications for portfolio management: A multivariate wavelet-based dynamic analysis," Resources Policy, Elsevier, vol. 74(C).
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Keywords
Wavelet transform; multiple wavelet coherence; co-movement; vector auto regressive moving average; forecast;All these keywords.
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