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Christoph Schleicher

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First Name:Christoph
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Last Name:Schleicher
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RePEc Short-ID:psc196
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Research output

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Working papers

  1. M. Hashem Pesaran & Christoph Schleicher & Paolo Zaffaroni, 2008. "Model Averaging in Risk Management with an Application to Futures Markets," CESifo Working Paper Series 2231, CESifo.
  2. Simon Price & Christoph Schleicher, 2006. "Returns to equity, investment and Q: evidence from the United Kingdom," Bank of England working papers 310, Bank of England.
  3. Christoph Schleicher & Matthew Hurd & Mark Salmon, 2005. "Using Copulas to Construct Bivariate Foreign Exchange Distributions with an Application to the Sterling Exchange Rate Index," Computing in Economics and Finance 2005 215, Society for Computational Economics.
  4. Christoph Schleicher & Francisco Barillas, 2005. "Common Trends and Common Cycles in Canadian Sectoral Output," Computing in Economics and Finance 2005 214, Society for Computational Economics.
  5. Christoph Schleicher, 2004. "Codependence in Cointegrated Autoregressive Models," Computing in Economics and Finance 2004 286, Society for Computational Economics.
  6. Christoph Schleicher, 2003. "Kolmogorov-Wiener Filters for Finite Time Series," Computing in Economics and Finance 2003 109, Society for Computational Economics.
  7. Christoph Schleicher, 2003. "Structural Time-Series Models with Common Trends and Common Cycles," Computing in Economics and Finance 2003 108, Society for Computational Economics.
  8. Christoph Schleicher, 2002. "An Introduction to Wavelets for Economists," Staff Working Papers 02-3, Bank of Canada.

Articles

  1. Pesaran, M. Hashem & Schleicher, Christoph & Zaffaroni, Paolo, 2009. "Model averaging in risk management with an application to futures markets," Journal of Empirical Finance, Elsevier, vol. 16(2), pages 280-305, March.
  2. Christoph Schleicher, 2007. "Codependence in cointegrated autoregressive models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(1), pages 137-159.
  3. Simon Price & Christoph Schleicher, 2005. "Returns To Equity, Investment And Q: Evidence From The Uk," Manchester School, University of Manchester, vol. 73(s1), pages 32-57, September.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. M. Hashem Pesaran & Christoph Schleicher & Paolo Zaffaroni, 2008. "Model Averaging in Risk Management with an Application to Futures Markets," CESifo Working Paper Series 2231, CESifo.

    Cited by:

    1. Qingfeng Liu & Qingsong Yao & Guoqing Zhao, 2020. "Model averaging estimation for conditional volatility models with an application to stock market volatility forecast," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(5), pages 841-863, August.
    2. Antonio Ciccone & Marek Jarocinski, 2010. "Determinants of Economic Growth: Will Data Tell?," Working Papers 1009, BBVA Bank, Economic Research Department.
    3. Bahram Pesaran & M. Hashem Pesaran, 2010. "Conditional Volatility and Correlations of Weekly Returns and the VaR Analysis of 2008 Stock Market Crash," CESifo Working Paper Series 3023, CESifo.
    4. Valeria Bignozzi & Claudio Macci & Lea Petrella, 2017. "Large deviations for risk measures in finite mixture models," Papers 1710.03252, arXiv.org, revised Feb 2018.
    5. McAleer, M.J., 2008. "The ten commandments for optimizing value-at-risk and daily capital charges," Econometric Institute Research Papers EI 2008-32, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    6. Amengual, Dante & Fiorentini, Gabriele & Sentana, Enrique, 2013. "Sequential estimation of shape parameters in multivariate dynamic models," Journal of Econometrics, Elsevier, vol. 177(2), pages 233-249.
    7. Gloria Gonzalez-Rivera & Emre Yoldas, 2010. "Multivariate Autocontours for Specification Testing in Multivariate GARCH Models," Working Papers 201436, University of California at Riverside, Department of Economics.
    8. Nanying Wang & Jack E. Houston, 2016. "The Co-Movement between Non-GM and GM Soybean Prices in China: Evidence from Dalian Futures Market (2004-2014)," Applied Economics and Finance, Redfame publishing, vol. 3(4), pages 37-47, November.
    9. Wang, Nanying & Houston, Jack, 2015. "The Comovement between Non-GM and GM Soybean Price in China: Evidence from Dalian Futures Market," 2015 Annual Meeting, January 31-February 3, 2015, Atlanta, Georgia 196775, Southern Agricultural Economics Association.
    10. González-Rivera, Gloria & Yoldas, Emre, 2012. "Autocontour-based evaluation of multivariate predictive densities," International Journal of Forecasting, Elsevier, vol. 28(2), pages 328-342.
    11. Hugh Christensen & Simon Godsill & Richard E Turner, 2020. "Hidden Markov Models Applied To Intraday Momentum Trading With Side Information," Papers 2006.08307, arXiv.org.
    12. Zhang, Xinyu & Wan, Alan T.K. & Zou, Guohua, 2013. "Model averaging by jackknife criterion in models with dependent data," Journal of Econometrics, Elsevier, vol. 174(2), pages 82-94.
    13. Adam Clements & Mark Bernard Doolan, 2020. "Combining multivariate volatility forecasts using weighted losses," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(4), pages 628-641, July.
    14. Vanina Forget, 2012. "Doing well and doing good: a multi-dimensional puzzle," Working Papers hal-00672037, HAL.
    15. Assenmacher-Wesche, Katrin & Pesaran, M. Hashem, 2007. "Assessing Forecast Uncertainties in a VECX Model for Switzerland: An Exercise in Forecast Combination across Models and Observation Windows," IZA Discussion Papers 3071, Institute of Labor Economics (IZA).
    16. Sundusit Saekow & Phisanu Chiawkhun & Woraphon Yamaka & Nawapon Nakharutai & Parkpoom Phetpradap, 2024. "Estimation of Contagion: Bayesian Model Averaging on Tail Dependence of Mixture Copula," Mathematics, MDPI, vol. 12(21), pages 1-23, October.
    17. Wang, Nanying & Houston, Jack E., 2015. "The Co-movement between Non-GM and GM Soybean Price in China: Evidence from China Futures Market," 2015 Conference, August 9-14, 2015, Milan, Italy 211914, International Association of Agricultural Economists.
    18. Laporta, Alessandro G. & Merlo, Luca & Petrella, Lea, 2018. "Selection of Value at Risk Models for Energy Commodities," Energy Economics, Elsevier, vol. 74(C), pages 628-643.
    19. Farhat Iqbal & Mamoona Zahid & Dimitrios Koutmos, 2023. "Cryptocurrency Trading and Downside Risk," Risks, MDPI, vol. 11(7), pages 1-18, July.
    20. Noman, Abu Hanifa Md & Karim, Muhammad Mahmudul & Hassan, Mohammad Kabir & Khan, Muhammad Asif & Pervin, Sajeda, 2023. "COVID-19 pandemic and the dynamics of major investable assets: What gives shelter to investors?," International Review of Economics & Finance, Elsevier, vol. 86(C), pages 14-30.
    21. Gradojevic, Nikola & Gençay, Ramazan, 2013. "Fuzzy logic, trading uncertainty and technical trading," Journal of Banking & Finance, Elsevier, vol. 37(2), pages 578-586.
    22. Moral-Benito, Enrique, 2010. "Model averaging in economics," MPRA Paper 26047, University Library of Munich, Germany.
    23. Zeng, Qing & Lu, Xinjie & Xu, Jin & Lin, Yu, 2024. "Macro-Driven Stock Market Volatility Prediction: Insights from a New Hybrid Machine Learning Approach," International Review of Financial Analysis, Elsevier, vol. 96(PB).
    24. George Chalamandaris & Leonidas S. Rompolis, 2021. "Recovering the market risk premium from higher‐order moment risks," European Financial Management, European Financial Management Association, vol. 27(1), pages 147-186, January.
    25. Enrique Moral-Benito, 2015. "Model Averaging In Economics: An Overview," Journal of Economic Surveys, Wiley Blackwell, vol. 29(1), pages 46-75, February.
    26. Alena Skolkova, 2023. "Model Averaging with Ridge Regularization," CERGE-EI Working Papers wp758, The Center for Economic Research and Graduate Education - Economics Institute, Prague.

  2. Simon Price & Christoph Schleicher, 2006. "Returns to equity, investment and Q: evidence from the United Kingdom," Bank of England working papers 310, Bank of England.

    Cited by:

    1. Gallegati, Marco & Ramsey, James B., 2014. "The forward looking information content of equity and bond markets for aggregate investments," Journal of Economics and Business, Elsevier, vol. 75(C), pages 1-24.

  3. Christoph Schleicher & Matthew Hurd & Mark Salmon, 2005. "Using Copulas to Construct Bivariate Foreign Exchange Distributions with an Application to the Sterling Exchange Rate Index," Computing in Economics and Finance 2005 215, Society for Computational Economics.

    Cited by:

    1. Fabrizio Durante & Erich Klement & Carlo Sempi & Manuel Úbeda-Flores, 2010. "Measures of non-exchangeability for bivariate random vectors," Statistical Papers, Springer, vol. 51(3), pages 687-699, September.
    2. Zhichao Zhang & Li Ding & Fan Zhang & Zhuang Zhang, 2015. "Optimal Currency Composition for China's Foreign Reserves: A Copula Approach," The World Economy, Wiley Blackwell, vol. 38(12), pages 1947-1965, December.
    3. Constantino, Michel & Candido, Osvaldo & Tabak, Benjamin M. & da Costa, Reginaldo Brito, 2017. "Modeling stochastic frontier based on vine copulas," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 486(C), pages 595-609.
    4. Fouad Marri & Khouzeima Moutanabbir, 2021. "Risk aggregation and capital allocation using a new generalized Archimedean copula," Papers 2103.10989, arXiv.org.
    5. Marri, Fouad & Moutanabbir, Khouzeima, 2022. "Risk aggregation and capital allocation using a new generalized Archimedean copula," Insurance: Mathematics and Economics, Elsevier, vol. 102(C), pages 75-90.
    6. Mendoza-Velázquez, Alfonso & Galvanovskis, Evalds, 2009. "Introducing the GED-Copula with an application to Financial Contagion in Latin America," MPRA Paper 46669, University Library of Munich, Germany, revised 01 Feb 2010.
    7. Alvise De Col & Alessandro Gnoatto & Martino Grasselli, 2012. "Smiles all around: FX joint calibration in a multi-Heston model," Papers 1201.1782, arXiv.org, revised Jun 2013.
    8. Tavin, Bertrand, 2015. "Detection of arbitrage in a market with multi-asset derivatives and known risk-neutral marginals," Journal of Banking & Finance, Elsevier, vol. 53(C), pages 158-178.
    9. Mendoza, Alfonso. & Galvanovskis, Evalds., 2014. "La cópula GED bivariada. Una aplicación en entornos de crisis," El Trimestre Económico, Fondo de Cultura Económica, vol. 0(323), pages .721-746, julio-sep.
    10. Fouad Marri & Khouzeima Moutanabbir, 2021. "Risk aggregation and capital allocation using a new generalized Archimedean copula," Working Papers hal-03169291, HAL.
    11. Toan Luu Duc Huynh & Tobias Burggraf, 2020. "If worst comes to worst: Co-movement of global stock markets in the US-China trade war," Economics and Business Letters, Oviedo University Press, vol. 9(1), pages 21-30.
    12. Alessandro Gnoatto & Martino Grasselli, 2013. "An analytic multi-currency model with stochastic volatility and stochastic interest rates," Papers 1302.7246, arXiv.org, revised Mar 2013.

  4. Christoph Schleicher & Francisco Barillas, 2005. "Common Trends and Common Cycles in Canadian Sectoral Output," Computing in Economics and Finance 2005 214, Society for Computational Economics.

    Cited by:

    1. de Silva, Ashton, 2007. "A multivariate innovations state space Beveridge Nelson decomposition," MPRA Paper 5431, University Library of Munich, Germany.
    2. Elizabeth C. Wakerly & Byron G. Scott & James M. Nason, 2006. "Common trends and common cycles in Canada: who knew so much has been going on?," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 39(1), pages 320-347, February.
    3. Christoph Schleicher, 2007. "Codependence in cointegrated autoregressive models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(1), pages 137-159.
    4. Cesar R. Sobrino, 2021. "Analyzing the Role of the Permanent and Temporary Shocks in Peru Using the Co-Movements Approach," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 13(11), pages 111-111, November.

  5. Christoph Schleicher, 2004. "Codependence in Cointegrated Autoregressive Models," Computing in Economics and Finance 2004 286, Society for Computational Economics.

    Cited by:

    1. Trenkler, Carsten & Weber, Enzo, 2012. "Identifying the Shocks behind Business Cycle Asynchrony in Euroland," University of Regensburg Working Papers in Business, Economics and Management Information Systems 466, University of Regensburg, Department of Economics.
    2. Gianluca Cubadda & Alain Hecq, 2021. "Reduced Rank Regression Models in Economics and Finance," CEIS Research Paper 525, Tor Vergata University, CEIS, revised 08 Nov 2021.
    3. Marco Centoni & Gianluca Cubadda, 2015. "Common Feature Analysis of Economic Time Series: An Overview and Recent Developments," CEIS Research Paper 355, Tor Vergata University, CEIS, revised 05 Oct 2015.
    4. Cubadda, G. & Hecq, A.W. & Palm, F.C., 2007. "Studying co-movements in large multivariate models without multivariate modelling," Research Memorandum 032, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    5. Franchi, Massimo & Paruolo, Paolo, 2011. "A characterization of vector autoregressive processes with common cyclical features," Journal of Econometrics, Elsevier, vol. 163(1), pages 105-117, July.
    6. Gianluca Cubadda & Alain Hecq & Franz C. Palm, 2008. "Studying Co-Movements in Large Multivariate Data Prior to Multivariate Modelling," CEIS Research Paper 125, Tor Vergata University, CEIS, revised 14 Jul 2008.
    7. Chen, Xiaoshan & Mills, Terence C., 2009. "Evaluating growth cycle synchronisation in the EU," Economic Modelling, Elsevier, vol. 26(2), pages 342-351, March.
    8. Trenkler, Carsten & Weber, Enzo, 2012. "Codependent VAR Models and the Pseudo-Structural Form," Working Papers 12-10, University of Mannheim, Department of Economics.
    9. Gourieroux, Christian & Jasiak, Joann, 2017. "Noncausal vector autoregressive process: Representation, identification and semi-parametric estimation," Journal of Econometrics, Elsevier, vol. 200(1), pages 118-134.
    10. Marco Centoni & Gianluca Cubadda, 2011. "Modelling Comovements of Economic Time Series: A Selective Survey," CEIS Research Paper 215, Tor Vergata University, CEIS, revised 26 Oct 2011.
    11. Nannette Lindenberg & Frank Westermann, 2009. "Common Trends and Common Cycles among Interest Rates of the G7-Countries," IEER Working Papers 77, Institute of Empirical Economic Research, Osnabrueck University.
    12. Marcel Gorenflo, 2013. "Futures price dynamics of CO 2 emission allowances," Empirical Economics, Springer, vol. 45(3), pages 1025-1047, December.
    13. Carsten Trenkler & Enzo Weber, 2013. "Testing for codependence of cointegrated variables," Applied Economics, Taylor & Francis Journals, vol. 45(15), pages 1953-1964, May.

  6. Christoph Schleicher, 2003. "Kolmogorov-Wiener Filters for Finite Time Series," Computing in Economics and Finance 2003 109, Society for Computational Economics.

    Cited by:

    1. Dimitrios Thomakos, 2008. "Optimal Linear Filtering, Smoothing and Trend Extraction for Processes with Unit Roots and Cointegration," Working Papers 0024, University of Peloponnese, Department of Economics.
    2. Andrle, Michal, 2012. "Understanding DSGE Filters in Forecasting and Policy Analysis," Dynare Working Papers 16, CEPREMAP.
    3. Dimitrios Thomakos & Hossein Hassani & Kerry Patterson, 2013. "Optimal Linear Filtering, Smoothing and Trend Extraction for the m-th Differences of a Unit Root Process: A Singular Spectrum Analysis Approach," Economics Discussion Papers em-dp2013-04, Department of Economics, University of Reading.
    4. Ghysels, Eric & Wright, Jonathan H., 2009. "Forecasting Professional Forecasters," Journal of Business & Economic Statistics, American Statistical Association, vol. 27(4), pages 504-516.
    5. Michal Andrle, 2013. "What Is in Your Output Gap? Unified Framework & Decomposition into Observables," IMF Working Papers 2013/105, International Monetary Fund.

  7. Christoph Schleicher, 2003. "Structural Time-Series Models with Common Trends and Common Cycles," Computing in Economics and Finance 2003 108, Society for Computational Economics.

    Cited by:

    1. Trenkler, Carsten & Weber, Enzo, 2015. "On the identification of multivariate correlated unobserved components models," Working Papers 15-12, University of Mannheim, Department of Economics.
    2. Soloschenko, Max & Weber, Enzo, 2014. "Capturing the Interaction of Trend, Cycle, Expectations and Risk Premia in the US Term Structure," University of Regensburg Working Papers in Business, Economics and Management Information Systems 475, University of Regensburg, Department of Economics.
    3. James C. Morley, 2007. "The Slow Adjustment of Aggregate Consumption to Permanent Income," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(2‐3), pages 615-638, March.
    4. Esposti, Roberto, 2021. "On the long-term common movement of resource and commodity prices.A methodological proposal," Resources Policy, Elsevier, vol. 72(C).
    5. Tara Sinclair & Sinchan Mitra, 2008. "Output Fluctuations in the G-7: An Unobserved Components Approach," Working Papers 2008-04, The George Washington University, Institute for International Economic Policy.
    6. Esa Mangeloja, 2003. "Structural testing of Business Cycles," Macroeconomics 0308004, University Library of Munich, Germany.
    7. Tara M. Sinclair, 2009. "The Relationships between Permanent and Transitory Movements in U.S. Output and the Unemployment Rate," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(2‐3), pages 529-542, March.
    8. Arabinda Basistha, 2007. "Trend‐cycle correlation, drift break and the estimation of trend and cycle in Canadian GDP," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 40(2), pages 584-606, May.
    9. James Morley & Tara M. Sinclair, 2005. "Testing for Stationarity and Cointegration in an Unobserved Components Framework," Computing in Economics and Finance 2005 451, Society for Computational Economics.
    10. Riccardo Corradini, 2005. "An Empirical Analysis of Permanent Income Hypothesis Applied to Italy using State Space Models with non zero correlation between trend and cycle," Econometrics 0509009, University Library of Munich, Germany.
    11. Esposti, Roberto, 2017. "What Makes Commodity Prices Move Together? An Answer From A Dynamic Factor Model," 2017 International Congress, August 28-September 1, 2017, Parma, Italy 260889, European Association of Agricultural Economists.
    12. Cortez, Willy Walter & Islas C., Alejandro, 2013. "An assessment of the dynamics between the permanent and transitory components of Mexico's output and unemployment," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), December.

  8. Christoph Schleicher, 2002. "An Introduction to Wavelets for Economists," Staff Working Papers 02-3, Bank of Canada.

    Cited by:

    1. Joanna Bruzda, 2004. "Wavelet vs. Spectral Analysis of an Economic Process," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 6, pages 183-194.
    2. Alexandra-Anca Purcel, 2020. "New insights into the environmental Kuznets curve hypothesis in developing and transition economies: a literature survey," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 22(4), pages 585-631, October.
    3. Ahmed, Walid M.A., 2022. "On the higher-order moment interdependence of stock and commodity markets: A wavelet coherence analysis," The Quarterly Review of Economics and Finance, Elsevier, vol. 83(C), pages 135-151.
    4. Antonio Focacci, 2023. "A Wavelet Investigation of Periodic Long Swings in the Economy: The Original Data of Kondratieff and Some Important Series of GDP per Capita," Economies, MDPI, vol. 11(9), pages 1-21, September.
    5. Li, Yushu & Andersson, Fredrik N. G., 2013. "A Simple Wavelet-Based Test for Serial Correlation in Panel Data Models," Working Papers 2013:39, Lund University, Department of Economics.
    6. Lahura, Erick & Vega, Marco, 2011. "Wavelet-based Core Inflation Measures: Evidence from Peru," Working Papers 2011-019, Banco Central de Reserva del Perú.
    7. Crowley, Patrick M. & Habibdoust, Amir, 2013. "Assessing the exchange rate exposure of US multinationals," Bank of Finland Research Discussion Papers 34/2013, Bank of Finland.
    8. Gallegati Marco & Gallegati Mauro & Ramsey James B. & Semmler Willi, 2016. "Productivity and unemployment: a scale-by-scale panel data analysis for the G7 countries," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 20(4), pages 477-493, September.
    9. Li, Yushu & Shukur, Ghazi, 2010. "Linear and Non-linear Causality Test in a LSTAR model - wavelet decomposition in a non-linear environment," Working Paper Series in Economics and Institutions of Innovation 227, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.
    10. Hacker, Scott & Kim, Hyunjoo & Månsson, Kristofer, 2010. "The Relationship between Exchange Rates and Interest Rate Differentials: a Wavelet Approach," Working Paper Series in Economics and Institutions of Innovation 217, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.
    11. Marco Gallegati, 2005. "Stock market returns and economic activity: evidence from wavelet analysis," Macroeconomics 0512016, University Library of Munich, Germany.
    12. Erick Lahura & Marco Vega, 2011. "Evaluation of Wavelet-based Core Inflation Measures: Evidence from Peru," Documentos de Trabajo / Working Papers 2011-320, Departamento de Economía - Pontificia Universidad Católica del Perú.
    13. Dowd, Kevin & Cotter, John & Loh, Lixia, 2011. "U.S. Core Inflation: A Wavelet Analysis," Macroeconomic Dynamics, Cambridge University Press, vol. 15(4), pages 513-536, September.
    14. Patrick Crowley, 2005. "An intuitive guide to wavelets for economists," Econometrics 0503017, University Library of Munich, Germany.
    15. Reese, Simon & Li, Yushu, 2013. "Testing for Structural Breaks in the Presence of Data Perturbations: Impacts and Wavelet Based Improvements," Working Papers 2013:36, Lund University, Department of Economics.
    16. María del Carmen Valls Martínez & Pedro Antonio Martín Cervantes, 2021. "Testing the Resilience of CSR Stocks during the COVID-19 Crisis: A Transcontinental Analysis," Mathematics, MDPI, vol. 9(5), pages 1-24, March.
    17. Mikhail Starichkov, 2025. "Using Wavelets to Analyse the Dynamics of Inflation Processes," Russian Journal of Money and Finance, Bank of Russia, vol. 84(1), pages 105-128, March.
    18. Benhmad, François, 2013. "Bull or bear markets: A wavelet dynamic correlation perspective," Economic Modelling, Elsevier, vol. 32(C), pages 576-591.
    19. Francis In & Sangbae Kim, 2012. "An Introduction to Wavelet Theory in Finance:A Wavelet Multiscale Approach," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 8431, September.
    20. Benhmad, François, 2012. "Modeling nonlinear Granger causality between the oil price and U.S. dollar: A wavelet based approach," Economic Modelling, Elsevier, vol. 29(4), pages 1505-1514.
    21. Baqaee, David, 2010. "Using wavelets to measure core inflation: The case of New Zealand," The North American Journal of Economics and Finance, Elsevier, vol. 21(3), pages 241-255, December.
    22. Boubaker Heni & Canarella Giorgio & Gupta Rangan & Miller Stephen M., 2017. "Time-varying persistence of inflation: evidence from a wavelet-based approach," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 21(4), pages 1-18, September.
    23. Neeraj & Prasanta K. Panigrahi, 2016. "Causality and Correlations between BSE and NYSE indexes: A Janus Faced Relationship," Papers 1608.07796, arXiv.org.
    24. Yushu Li, 2015. "Estimate Long Memory Causality Relationship by Wavelet Method," Computational Economics, Springer;Society for Computational Economics, vol. 45(4), pages 531-544, April.
    25. Pourghorban, Mojtaba & Mamipour, Siab, 2020. "Modeling and Forecasting the Electricity Price in Iran Using Wavelet-Based GARCH Model," MPRA Paper 115042, University Library of Munich, Germany.
    26. Luca De Benedictis & Marco Gallegati, 2005. "Trade balance and terms of trade in U.S.: a time-scale decomposition analysis," International Trade 0512016, University Library of Munich, Germany.
    27. Chakrabarty, Anindya & De, Anupam & Gunasekaran, Angappa & Dubey, Rameshwar, 2015. "Investment horizon heterogeneity and wavelet: Overview and further research directions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 429(C), pages 45-61.
    28. Usman Khalid & Olivier Habimana, 2021. "Military Spending and Economic Growth in Turkey: A Wavelet Approach," Defence and Peace Economics, Taylor & Francis Journals, vol. 32(3), pages 362-376, April.
    29. Roger Bowden & Jennifer Zhu, 2010. "Multi-scale variation, path risk and long-term portfolio management," Quantitative Finance, Taylor & Francis Journals, vol. 10(7), pages 783-796.
    30. Quinton Morris & Gary Van Vuuren & Paul Styger, 2009. "Further Evidence Of Long Memory In The South African Stock Market," South African Journal of Economics, Economic Society of South Africa, vol. 77(1), pages 81-101, March.
    31. Hyunjoo Kim Karlsson & Kristofer Månsson & Scott Hacker, 2021. "Revisiting the nexus of the financial development and economic development: new international evidence using a wavelet approach," Empirical Economics, Springer, vol. 60(5), pages 2323-2350, May.
    32. Hansen, Bjørn Gunnar & Li, Yushu, 2015. "Future world market prices of milk and feed looking into the crystal ball," Discussion Papers 2015/17, Norwegian School of Economics, Department of Business and Management Science.
    33. Thabani Ndlovu & Delson Chikobvu, 2023. "A Wavelet-Decomposed WD-ARMA-GARCH-EVT Model Approach to Comparing the Riskiness of the BitCoin and South African Rand Exchange Rates," Data, MDPI, vol. 8(7), pages 1-24, July.
    34. Neeraj, & Panigrahi, Prasanta K., 2017. "Causality and correlations between BSE and NYSE indexes: A Janus faced relationship," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 481(C), pages 284-313.
    35. Besma Hkiri & Shawkat Hammoudeh & Chaker Aloui, 2016. "Strength of co-movement between sector CDS indexes and relationship with major economic and financial variables over time and during investment horizons," Applied Economics, Taylor & Francis Journals, vol. 48(48), pages 4635-4654, October.
    36. Ibrahim Ahamada & Philippe Jolivaldt, 2010. "Classical vs wavelet-based filters Comparative study and application to business cycle," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00476022, HAL.
    37. Andrew Phiri, 2023. "Fisher’s hypothesis in time–frequency space: a premier using South Africa as a case study," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(5), pages 4255-4284, October.
    38. Gallegati, Marco & Ramsey, James B., 2013. "Structural change and phase variation: A re-examination of the q-model using wavelet exploratory analysis," Structural Change and Economic Dynamics, Elsevier, vol. 25(C), pages 60-73.
    39. Kunio Okina & Shigenori Shiratsuka, 2004. "Policy Duration Effect under Zero Interest Rates: An Application of Wavelet Analysis," CESifo Working Paper Series 1138, CESifo.
    40. Javier Fernandez-Macho, 2013. "A wavelet approach to multiple cointegration testing," Economics Series Working Papers 668, University of Oxford, Department of Economics.
    41. Muhammad Azmat Hayat & Huma Ghulam & Maryam Batool & Muhammad Zahid Naeem & Abdullah Ejaz & Cristi Spulbar & Ramona Birau, 2021. "Investigating the Causal Linkages among Inflation, Interest Rate, and Economic Growth in Pakistan under the Influence of COVID-19 Pandemic: A Wavelet Transformation Approach," JRFM, MDPI, vol. 14(6), pages 1-22, June.
    42. Bera, Anil Kumar & Uyar, Umut & Kangalli Uyar, Sinem Guler, 2020. "Analysis of the five-factor asset pricing model with wavelet multiscaling approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 76(C), pages 414-423.
    43. Ozun, Alper & Cifter, Atilla, 2007. "Modeling Long-Term Memory Effect in Stock Prices: A Comparative Analysis with GPH Test and Daubechies Wavelets," MPRA Paper 2481, University Library of Munich, Germany.
    44. Musa, Mustafa & Masih, Mansur, 2016. "Are the ASEAN stock markets integrated with the US market ? new evidence from wavelet coherence," MPRA Paper 101256, University Library of Munich, Germany.
    45. Patrick M. Crowley, 2007. "A Guide To Wavelets For Economists," Journal of Economic Surveys, Wiley Blackwell, vol. 21(2), pages 207-267, April.
    46. Zsuzsanna Hosszu & Gergely Lakos, 2022. "Early Warning Performance of Univariate Credit-to-GDP Gaps," MNB Occasional Papers 2022/142, Magyar Nemzeti Bank (Central Bank of Hungary).
    47. Lehkonen, Heikki & Heimonen, Kari, 2014. "Timescale-dependent stock market comovement: BRICs vs. developed markets," Journal of Empirical Finance, Elsevier, vol. 28(C), pages 90-103.
    48. Joanna Bruzda, 2011. "Business cycle synchronization according to wavelets – the case of Poland and the euro zone member countries," Bank i Kredyt, Narodowy Bank Polski, vol. 42(3), pages 5-32.
    49. Cortés Espada Josué Fernando & Sámano Daniel & Gutiérrez Villanueva Rubí, 2019. "Dynamics of Mexican Inflation: A Wavelet Analysis," Working Papers 2019-17, Banco de México.
    50. Zsolt Darvas & Gábor Vadas, 2003. "Univariate Potential Output Estimations for Hungary," MNB Working Papers 2003/8, Magyar Nemzeti Bank (Central Bank of Hungary).
    51. Li, Yushu & Shukur, Ghazi, 2009. "Testing for Unit Root against LSTAR Model: Wavelet Improvement under GARCH Distortion," CAFO Working Papers 2009:6, Linnaeus University, Centre for Labour Market Policy Research (CAFO), School of Business and Economics.
    52. Majed S. Balalaa & Anouar Ben Mabrouk & Habiba Abdessalem, 2021. "A Wavelet-Based Method for the Impact of Social Media on the Economic Situation: The Saudi Arabia 2030-Vision Case," Mathematics, MDPI, vol. 9(10), pages 1-21, May.
    53. Habimana, Olivier, 2018. "Asymmetry and Multiscale Dynamics in Macroeconomic Time Series Analysis," MPRA Paper 87823, University Library of Munich, Germany.
    54. Qureshi, Saba & Rehman, Ijaz Ur & Qureshi, Fiza, 2018. "Does gold act as a safe haven against exchange rate fluctuations? The case of Pakistan rupee," Journal of Policy Modeling, Elsevier, vol. 40(4), pages 685-708.
    55. Ysusi Carla, 2009. "Analysis of the Dynamics of Mexican Inflation Using Wavelets," Working Papers 2009-09, Banco de México.
    56. C. Colther & J. L. Rojo & R. Hornero, 2022. "A Wavelet Method for Detecting Turning Points in the Business Cycle," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 18(2), pages 171-187, July.
    57. Bowden Roger J. & Zhu Jennifer Z, 2007. "Which Are the World's Wobblier Currencies? Reference Exchange Rates and Their Variation," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 11(3), pages 1-32, September.
    58. Marco Gallegati, 2005. "A Wavelet Analysis of MENA Stock Markets," Finance 0512027, University Library of Munich, Germany.
    59. Pejman Bahramian & Andisheh Saliminezhad, 2021. "Does Capacity Utilization Predict Inflation? A Wavelet Based Evidence from United States," Computational Economics, Springer;Society for Computational Economics, vol. 58(4), pages 1103-1125, December.
    60. Stan Plessis & Gideon Rand & Kevin Kotzé, 2015. "Measuring Core Inflation in South Africa," South African Journal of Economics, Economic Society of South Africa, vol. 83(4), pages 527-548, December.
    61. Kuşkaya, Sevda & Bilgili, Faik & Muğaloğlu, Erhan & Khan, Kamran & Hoque, Mohammad Enamul & Toguç, Nurhan, 2023. "The role of solar energy usage in environmental sustainability: Fresh evidence through time-frequency analyses," Renewable Energy, Elsevier, vol. 206(C), pages 858-871.
    62. Lu, Changrong & Li, Jiaxiang & Liu, Lian & Yu, Fandi, 2023. "Spillover effect of the RMB and Non-USD currencies after the COVID-19 pandemic: Evidence captured from 30-minute high frequency data," International Review of Economics & Finance, Elsevier, vol. 84(C), pages 527-552.

Articles

  1. Pesaran, M. Hashem & Schleicher, Christoph & Zaffaroni, Paolo, 2009. "Model averaging in risk management with an application to futures markets," Journal of Empirical Finance, Elsevier, vol. 16(2), pages 280-305, March.
    See citations under working paper version above.
  2. Christoph Schleicher, 2007. "Codependence in cointegrated autoregressive models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(1), pages 137-159.
    See citations under working paper version above.
  3. Simon Price & Christoph Schleicher, 2005. "Returns To Equity, Investment And Q: Evidence From The Uk," Manchester School, University of Manchester, vol. 73(s1), pages 32-57, September.

    Cited by:

    1. Kilponen, Juha & Verona, Fabio, 2016. "Testing the Q theory of investment in the frequency domain," Bank of Finland Research Discussion Papers 32/2016, Bank of Finland.
    2. Gallegati, Marco & Ramsey, James B., 2013. "Bond vs stock market's Q: Testing for stability across frequencies and over time," Journal of Empirical Finance, Elsevier, vol. 24(C), pages 138-150.
    3. Basu, Parantap & Gillman, Max & Pearlman, Joseph, 2012. "Inflation, human capital and Tobin's q," Journal of Economic Dynamics and Control, Elsevier, vol. 36(7), pages 1057-1074.
    4. Gallegati, Marco & Ramsey, James B., 2013. "Structural change and phase variation: A re-examination of the q-model using wavelet exploratory analysis," Structural Change and Economic Dynamics, Elsevier, vol. 25(C), pages 60-73.
    5. Mark J. Holmes, 2010. "An Alternative Perspective on Tobin's Q and Aggregate Investment Expenditure," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 9(1), pages 23-28, April.

More information

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Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 6 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-ETS: Econometric Time Series (3) 2002-02-10 2004-01-12 2005-11-19
  2. NEP-MAC: Macroeconomics (3) 2004-01-12 2005-11-19 2006-12-01
  3. NEP-BEC: Business Economics (2) 2005-11-19 2006-12-01
  4. NEP-FIN: Finance (2) 2004-01-12 2005-08-13
  5. NEP-FMK: Financial Markets (2) 2005-08-13 2008-06-13
  6. NEP-CFN: Corporate Finance (1) 2006-12-01
  7. NEP-ECM: Econometrics (1) 2008-06-13
  8. NEP-FOR: Forecasting (1) 2005-11-19
  9. NEP-IFN: International Finance (1) 2005-08-13
  10. NEP-MON: Monetary Economics (1) 2005-08-13
  11. NEP-RMG: Risk Management (1) 2008-06-13

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