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Yuanhua Feng

Personal Details

First Name:Yuanhua
Middle Name:
Last Name:Feng
Suffix:
RePEc Short-ID:pfe24
http://wiwi.uni-paderborn.de/dep4/oekonometrie-quantitative-methoden-prof-feng/
Prof Dr. Yuanhua Feng, Faculty of Business Administration and Economics, University of Paderborn, Warburger Straße 100, D-33098 Paderborn, Germany
+49 5251 60 3379

Affiliation

Universität Paderborn, Fakultät Wirtschaftswissenschaften, Department of Economics (University of Paderborn, Faculty of Business Administration and Economics, Department of Economics)

http://pbfb5www.uni-paderborn.de/www/fb5/wiwi-web.nsf/id/Startseite_DE
Paderborn, Germany

Research output

as
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Working papers

  1. Yuanhua Feng & Jan Beran & Sebastian Letmathe, 2021. "An extended exponential SEMIFAR model with application in R," Working Papers CIE 145, Paderborn University, CIE Center for International Economics.
  2. Bastian Schäfer & Yuanhua Feng, 2021. "Fast Computation and Bandwidth Selection Algorithms for Smoothing Functional Time Series," Working Papers CIE 143, Paderborn University, CIE Center for International Economics.
  3. Yuanhua Feng & Bastian Schäfer, 2021. "Boundary modification in local polynomial regression," Working Papers CIE 144, Paderborn University, CIE Center for International Economics.
  4. Sebastian Letmathe & Yuanhua Feng & André Uhde, 2021. "Semiparametric GARCH models with long memory applied to Value at Risk and Expected Shortfall," Working Papers CIE 141, Paderborn University, CIE Center for International Economics.
  5. Yuanhua Feng & Wolfgang Karl Härdle, 2021. "Uni- and multivariate extensions of the sinh-arcsinh normal distribution applied to distributional regression," Working Papers CIE 142, Paderborn University, CIE Center for International Economics.
  6. Feng, Yuanhua & Härdle, Wolfgang Karl, 2020. "A data-driven P-spline smoother and the P-Spline-GARCH models," IRTG 1792 Discussion Papers 2020-016, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
  7. Yuanhua Feng & Jan Beran & Sebastian Letmathe & Sucharita Ghosh, 2020. "Fractionally integrated Log-GARCH with application to value at risk and expected shortfall," Working Papers CIE 137, Paderborn University, CIE Center for International Economics.
  8. Xuehai Zhang & Yuanhua Feng & Christian Peitz, 2017. "A general class of SemiGARCH models based on the Box-Cox transformation," Working Papers CIE 104, Paderborn University, CIE Center for International Economics.
  9. Yuanhua Feng & Thomas Gries, 2017. "Data-driven local polynomial for the trend and its derivatives in economic time series," Working Papers CIE 102, Paderborn University, CIE Center for International Economics.
  10. Marlon Fritz & Thomas Gries & Yuanhua Feng, 2016. "Growth Trends and Systematic Patterns of Booms and Busts - Testing 200 Years of Business Cycle Dynamics -," Working Papers CIE 96, Paderborn University, CIE Center for International Economics.
  11. Yuanhua Feng & Chen Zhou, 2015. "An iterative plug-in algorithm for realized kernels," Working Papers CIE 87, Paderborn University, CIE Center for International Economics.
  12. Zhichao Guo & Yuanhua Feng & Thomas Gries, 2013. "Changes of China's agri-food exports to Germany caused by its accession to WTO and the 2008 financial crisis," Working Papers CIE 72, Paderborn University, CIE Center for International Economics.
  13. Yuanhua Feng & Sarah Forstinger & Christian Peitz, 2013. "On the iterative plug-in algorithm for estimating diurnal patterns of financial trade durations," Working Papers CIE 66, Paderborn University, CIE Center for International Economics.
  14. Yuanhua Feng & Chen Zhou, 2013. "Forecasting financial market activity using a semiparametric fractionally integrated Log-ACD," Working Papers CIE 59, Paderborn University, CIE Center for International Economics.
  15. Yuanhua Feng, 2013. "Double-conditional smoothing of high-frequency volatility surface in a spatial multiplicative component GARCH with random effects," Working Papers CIE 65, Paderborn University, CIE Center for International Economics.
  16. Yuanhua Feng & Lixin Sun, 2013. "A semi-APARCH approach for comparing long-term and short-term risk in Chinese financial market and in mature financial markets," Working Papers CIE 69, Paderborn University, CIE Center for International Economics.
  17. Yuanhua Feng & David Hand & Yuanhua Feng, 2012. "A Multivariate Random Walk Model with Slowly Changing Drift and Cross-correlation Applied to Finance," Working Papers CIE 50, Paderborn University, CIE Center for International Economics.
  18. Yuanhua Feng & Zhichao Guo & Christian Peitz & Xiangyong Tan, 2011. "A tree-form constant market share analysis for modelling growth causes in international trade," Working Papers CIE 37, Paderborn University, CIE Center for International Economics.
  19. Yuanhua Feng & Zhichao Guo & Christian Peitz & Xiangyong Tan, 2011. "A tree-form constant market share model for growth causes in international trade based on multi-level classification," Working Papers CIE 42, Paderborn University, CIE Center for International Economics.
  20. Zhichao Guo & Yuanhua Feng & Xiangyong Tan, 2011. "Impact of China's accession to WTO and the financial crisis on China's exports to Germany," Working Papers CIE 36, Paderborn University, CIE Center for International Economics.
  21. Yuanhua Feng, 2011. "Data-driven estimation of diurnal duration patterns," Working Papers CIE 44, Paderborn University, CIE Center for International Economics.
  22. Yuanhua Feng, 2010. "An iterative plug-in algorithm for decomposing seasonal time series using the Berlin Method," Working Papers CIE 33, Paderborn University, CIE Center for International Economics.
  23. Zhichao Guo & Yuanhua Feng & Xiangyong Tan, 2010. "Short- and long-term impact of remarkable economic events on the growth causes of China-Germany trade in agri-food products," Working Papers CIE 32, Paderborn University, CIE Center for International Economics.
  24. Feng, Yuanhua & Beran, Jan, 2008. "Filtered Log-periodogram Regression of long memory processes," CoFE Discussion Papers 08/10, University of Konstanz, Center of Finance and Econometrics (CoFE).
  25. Feng, Yuanhua & Beran, Jan, 2007. "Optimal convergence rates in nonparametric regression with fractional time series errors," CoFE Discussion Papers 07/15, University of Konstanz, Center of Finance and Econometrics (CoFE).
  26. Feng, Yuanhua, 2006. "A local dynamic conditional correlation model," MPRA Paper 1592, University Library of Munich, Germany.
  27. Feng, Yuanhua & Beran, Jan & Yu, Keming, 2006. "Modelling financial time series with SEMIFAR-GARCH model," MPRA Paper 1593, University Library of Munich, Germany.
  28. Feng, Yuanhua & Yu, Keming, 2006. "Nonparametric estimation of time-varying covariance matrix in a slowly changing vector random walk model," MPRA Paper 1597, University Library of Munich, Germany.
  29. Feng, Yuanhua, 2003. "Kernel Dependent Functions in Nonparametric Regression with Fractional Time Series Errors," CoFE Discussion Papers 03/02, University of Konstanz, Center of Finance and Econometrics (CoFE).
  30. Feng, Yuanhua, 2002. "An Iterative Plug-In Algorithm for Nonparametric Modelling of Seasonal Time Series," CoFE Discussion Papers 02/04, University of Konstanz, Center of Finance and Econometrics (CoFE).
  31. Feng, Yuanhua, 2002. "Modelling Different Volatility Components," CoFE Discussion Papers 02/18, University of Konstanz, Center of Finance and Econometrics (CoFE).
  32. Beran, Jan & Feng, Yuanhua, 2002. "Recent Developments in Non- and Semiparametric Regression with Fractional Time Series Errors," CoFE Discussion Papers 02/13, University of Konstanz, Center of Finance and Econometrics (CoFE).
  33. Feng, Yuanhua, 2002. "Simultaneously Modelling Conditional Heteroskedasticity and Scale Change," CoFE Discussion Papers 02/12, University of Konstanz, Center of Finance and Econometrics (CoFE).
  34. Beran, Jan & Feng, Yuanhua, 2001. "Iterative plug-in algorithms for SEMIFAR models - definition, convergence and asymptotic properties," CoFE Discussion Papers 01/11, University of Konstanz, Center of Finance and Econometrics (CoFE).
  35. Beran, Jan & Feng, Yuanhua, 2001. "Supplement to the Paper "Interative plug-in algorithms for SEMIFAR models - definition, convergence and asymptotic properties": Detailed Simulation Results," CoFE Discussion Papers 01/12, University of Konstanz, Center of Finance and Econometrics (CoFE).
  36. Beran, Jan & Feng, Yuanhua & Heiler, Siegfried, 2000. "Modifying the double smoothing bandwidth selector in nonparametric regression," CoFE Discussion Papers 00/37, University of Konstanz, Center of Finance and Econometrics (CoFE).
  37. Heiler, Siegfried & Feng, Yuanhua, 2000. "A robust data-driven version of the Berlin Method," CoFE Discussion Papers 00/15, University of Konstanz, Center of Finance and Econometrics (CoFE).
  38. Beran, Jan & Feng, Yuanhua & Ghosh, Sucharita & Sibbertsen, Philipp, 2000. "On robust local polynominal estimation with long-memory errors," Technical Reports 2000,35, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
  39. Beran, Jan & Feng, Yuanhua, 2000. "Data-driven estimation of semiparametric fractional autoregressive models," CoFE Discussion Papers 00/16, University of Konstanz, Center of Finance and Econometrics (CoFE).
  40. Beran, Jan & Feng, Yuanhua, 1999. "Local Polynomial Estimation with a FARIMA-GARCH Error Process," CoFE Discussion Papers 99/08, University of Konstanz, Center of Finance and Econometrics (CoFE).
  41. Beran, Jan & Feng, Yuanhua & Ocker, Dirk, 1999. "SEMIFAR models," Technical Reports 1999,03, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
  42. Beran, Jan & Feng, Yuanhua & Franke, Günter & Hess, Dieter & Ocker, Dirk, 1999. "SEMIFAR Models, with Applications to Commodities, Exchange Rates and the Volatility of Stock Market Indices," CoFE Discussion Papers 99/18, University of Konstanz, Center of Finance and Econometrics (CoFE).
  43. Beran, Jan & Feng, Yuanhua, 1999. "Local Polynomial Fitting with Long-Memory, Short-Memory and Antipersistent errors," CoFE Discussion Papers 99/07, University of Konstanz, Center of Finance and Econometrics (CoFE).
  44. Heiler, Siegfried & Feng, Yuanhua, 1997. "A bootstrap bandwidth selector for local polynomial fitting," Discussion Papers, Series II 344, University of Konstanz, Collaborative Research Centre (SFB) 178 "Internationalization of the Economy".
  45. Heiler, Siegfried & Feng, Yuanhua, 1995. "Data-driven optimal decomposition of time series," Discussion Papers, Series II 287, University of Konstanz, Collaborative Research Centre (SFB) 178 "Internationalization of the Economy".
  46. Heiler, Siegfried & Feng, Yuanhua, 1995. "A simple root n bandwidth selector for nonparametric regression," Discussion Papers, Series II 286, University of Konstanz, Collaborative Research Centre (SFB) 178 "Internationalization of the Economy".

Articles

  1. Yuanhua Feng & Thomas Gries & Marlon Fritz, 2020. "Data-driven local polynomial for the trend and its derivatives in economic time series," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 32(2), pages 510-533, April.
  2. Christian Peitz & Yuanhua Feng & Bernard M Gilroy & Nico Stoeckmann, 2020. "The Shanghai- Hong Kong Stock Connect: An Application of the Semi-CGARCH and Semi-EGARCH," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 10(4), pages 427-438.
  3. Fritz, Marlon & Gries, Thomas & Feng, Yuanhua, 2019. "Secular stagnation? Is there statistical evidence of an unprecedented, systematic decline in growth?," Economics Letters, Elsevier, vol. 181(C), pages 47-50.
  4. Marlon Fritz & Thomas Gries & Yuanhua Feng, 2019. "Growth Trends and Systematic Patterns of Booms and Busts‐Testing 200 Years of Business Cycle Dynamics," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 81(1), pages 62-78, February.
  5. Gries Thomas & Fritz Marlon & Feng Yuanhua, 2017. "Slow Booms and Deep Busts: 160 Years of Business Cycles in Spain," Review of Economics, De Gruyter, vol. 68(2), pages 153-166, August.
  6. Zhichao Guo & Yuanhua Feng & Thomas Gries, 2015. "Changes of China’s agri-food exports to Germany caused by its accession to WTO and the 2008 financial crisis," China Agricultural Economic Review, Emerald Group Publishing, vol. 7(2), pages 262-279, May.
  7. Jan Beran & Yuanhua Feng & Sucharita Ghosh, 2015. "Modelling long-range dependence and trends in duration series: an approach based on EFARIMA and ESEMIFAR models," Statistical Papers, Springer, vol. 56(2), pages 431-451, May.
  8. Feng, Yuanhua & Zhou, Chen, 2015. "Forecasting financial market activity using a semiparametric fractionally integrated Log-ACD," International Journal of Forecasting, Elsevier, vol. 31(2), pages 349-363.
  9. Yuanhua Feng & Zhichao Guo & Christian Peitz, 2014. "A Tree-form Constant Market Share Model for Growth Causes in International Trade Based on Multi-level Classification," Journal of Industry, Competition and Trade, Springer, vol. 14(2), pages 207-228, June.
  10. Guo, Zhichao & Feng, Yuanhua, 2013. "Modeling of the impact of the financial crisis and China's accession to WTO on China's exports to Germany," Economic Modelling, Elsevier, vol. 31(C), pages 474-483.
  11. Yuanhua Feng & Jan Beran, 2013. "Optimal convergence rates in non-parametric regression with fractional time series errors," Journal of Time Series Analysis, Wiley Blackwell, vol. 34(1), pages 30-39, January.
  12. Yuanhua Feng, 2013. "An iterative plug-in algorithm for decomposing seasonal time series using the Berlin Method," Journal of Applied Statistics, Taylor & Francis Journals, vol. 40(2), pages 266-281, February.
  13. Guo, Zhichao & Feng, Yuanhua & Tan, Xiangyong, 2011. "Short- and long-term impact of remarkable economic events on the growth causes of China–Germany trade in agri-food products," Economic Modelling, Elsevier, vol. 28(6), pages 2359-2368.
  14. Feng, Yuanhua & McNeil, Alexander J., 2008. "Modelling of scale change, periodicity and conditional heteroskedasticity in return volatility," Economic Modelling, Elsevier, vol. 25(5), pages 850-867, September.
  15. Feng, Yuanhua, 2004. "Simultaneously Modeling Conditional Heteroskedasticity And Scale Change," Econometric Theory, Cambridge University Press, vol. 20(3), pages 563-596, June.
  16. Beran, Jan & Feng, Yuanhua & Ghosh, Sucharita & Sibbertsen, Philipp, 2002. "On robust local polynomial estimation with long-memory errors," International Journal of Forecasting, Elsevier, vol. 18(2), pages 227-241.
  17. Beran, Jan & Feng, Yuanhua, 2002. "SEMIFAR models--a semiparametric approach to modelling trends, long-range dependence and nonstationarity," Computational Statistics & Data Analysis, Elsevier, vol. 40(2), pages 393-419, August.
  18. Jan Beran & Yuanhua Feng, 2002. "Local Polynomial Fitting with Long-Memory, Short-Memory and Antipersistent Errors," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 54(2), pages 291-311, June.
  19. Y. Feng & J. Sun, 2001. "Computing the Optimal Replenishment Policy for Inventory Systems with Random Discount Opportunities," Operations Research, INFORMS, vol. 49(5), pages 790-795, October.

Books

  1. Jan Beran & Yuanhua Feng & Hartmut Hebbel (ed.), 2015. "Empirical Economic and Financial Research," Advanced Studies in Theoretical and Applied Econometrics, Springer, edition 127, number 978-3-319-03122-4, January-J.

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. Bastian Schäfer & Yuanhua Feng, 2021. "Fast Computation and Bandwidth Selection Algorithms for Smoothing Functional Time Series," Working Papers CIE 143, Paderborn University, CIE Center for International Economics.

    Cited by:

    1. Bastian Schäfer, 2021. "Bandwidth selection for the Local Polynomial Double Conditional Smoothing under Spatial ARMA Errors," Working Papers CIE 146, Paderborn University, CIE Center for International Economics.

  2. Yuanhua Feng & Jan Beran & Sebastian Letmathe & Sucharita Ghosh, 2020. "Fractionally integrated Log-GARCH with application to value at risk and expected shortfall," Working Papers CIE 137, Paderborn University, CIE Center for International Economics.

    Cited by:

    1. Sebastian Letmathe & Yuanhua Feng & André Uhde, 2021. "Semiparametric GARCH models with long memory applied to Value at Risk and Expected Shortfall," Working Papers CIE 141, Paderborn University, CIE Center for International Economics.

  3. Xuehai Zhang & Yuanhua Feng & Christian Peitz, 2017. "A general class of SemiGARCH models based on the Box-Cox transformation," Working Papers CIE 104, Paderborn University, CIE Center for International Economics.

    Cited by:

    1. Cristina Amado & Annastiina Silvennoinen & Timo Teräsvirta, 2018. "Models with Multiplicative Decomposition of Conditional Variances and Correlations," CREATES Research Papers 2018-14, Department of Economics and Business Economics, Aarhus University.
    2. Xuehai Zhang, 2019. "A Box-Cox semiparametric multiplicative error model," Working Papers CIE 125, Paderborn University, CIE Center for International Economics.
    3. Xuehai Zhang, 2019. "A Box-Cox semiparametric multiplicative error model," Working Papers CIE 122, Paderborn University, CIE Center for International Economics.

  4. Yuanhua Feng & Thomas Gries, 2017. "Data-driven local polynomial for the trend and its derivatives in economic time series," Working Papers CIE 102, Paderborn University, CIE Center for International Economics.

    Cited by:

    1. Feng, Yuanhua & Härdle, Wolfgang Karl, 2020. "A data-driven P-spline smoother and the P-Spline-GARCH models," IRTG 1792 Discussion Papers 2020-016, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
    2. Xuehai Zhang, 2019. "A Box-Cox semiparametric multiplicative error model," Working Papers CIE 125, Paderborn University, CIE Center for International Economics.
    3. Xuehai Zhang, 2019. "A Box-Cox semiparametric multiplicative error model," Working Papers CIE 122, Paderborn University, CIE Center for International Economics.

  5. Marlon Fritz & Thomas Gries & Yuanhua Feng, 2016. "Growth Trends and Systematic Patterns of Booms and Busts - Testing 200 Years of Business Cycle Dynamics -," Working Papers CIE 96, Paderborn University, CIE Center for International Economics.

    Cited by:

    1. Fritz, Marlon, 2019. "Steady state adjusting trends using a data-driven local polynomial regression," Economic Modelling, Elsevier, vol. 83(C), pages 312-325.
    2. Fritz, Marlon & Gries, Thomas & Feng, Yuanhua, 2019. "Secular stagnation? Is there statistical evidence of an unprecedented, systematic decline in growth?," Economics Letters, Elsevier, vol. 181(C), pages 47-50.

  6. Zhichao Guo & Yuanhua Feng & Thomas Gries, 2013. "Changes of China's agri-food exports to Germany caused by its accession to WTO and the 2008 financial crisis," Working Papers CIE 72, Paderborn University, CIE Center for International Economics.

    Cited by:

    1. Vítor João Pereira Domingues Martinho, 2019. "Testing for Structural Changes in the European Union’s Agricultural Sector," Agriculture, MDPI, vol. 9(5), pages 1-21, May.
    2. Kaisheng Luo & Fulu Tao & Juana P. Moiwo, 2018. "Transfer of Virtual Water of Woody Forest Products from China," Sustainability, MDPI, vol. 10(2), pages 1-14, February.

  7. Yuanhua Feng & Sarah Forstinger & Christian Peitz, 2013. "On the iterative plug-in algorithm for estimating diurnal patterns of financial trade durations," Working Papers CIE 66, Paderborn University, CIE Center for International Economics.

    Cited by:

    1. Marlon Fritz & Thomas Gries & Yuanhua Feng, 2019. "Growth Trends and Systematic Patterns of Booms and Busts‐Testing 200 Years of Business Cycle Dynamics," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 81(1), pages 62-78, February.

  8. Yuanhua Feng & Chen Zhou, 2013. "Forecasting financial market activity using a semiparametric fractionally integrated Log-ACD," Working Papers CIE 59, Paderborn University, CIE Center for International Economics.

    Cited by:

    1. Yuanhua Feng & Jan Beran & Sebastian Letmathe & Sucharita Ghosh, 2020. "Fractionally integrated Log-GARCH with application to value at risk and expected shortfall," Working Papers CIE 137, Paderborn University, CIE Center for International Economics.
    2. Yuanhua Feng & Jan Beran & Sebastian Letmathe, 2021. "An extended exponential SEMIFAR model with application in R," Working Papers CIE 145, Paderborn University, CIE Center for International Economics.
    3. Sucarrat, Genaro, 2018. "The Log-GARCH Model via ARMA Representations," MPRA Paper 100386, University Library of Munich, Germany.

  9. Yuanhua Feng, 2013. "Double-conditional smoothing of high-frequency volatility surface in a spatial multiplicative component GARCH with random effects," Working Papers CIE 65, Paderborn University, CIE Center for International Economics.

    Cited by:

    1. Yuanhua Feng & Sarah Forstinger & Christian Peitz, 2013. "On the iterative plug-in algorithm for estimating diurnal patterns of financial trade durations," Working Papers CIE 66, Paderborn University, CIE Center for International Economics.
    2. Bastian Schäfer, 2021. "Bandwidth selection for the Local Polynomial Double Conditional Smoothing under Spatial ARMA Errors," Working Papers CIE 146, Paderborn University, CIE Center for International Economics.

  10. Yuanhua Feng & Lixin Sun, 2013. "A semi-APARCH approach for comparing long-term and short-term risk in Chinese financial market and in mature financial markets," Working Papers CIE 69, Paderborn University, CIE Center for International Economics.

    Cited by:

    1. Song, Wenjuan & Sun, Lixin, 2014. "The Measurement of the Long-Term and Short-Term Risks of Chinese Listed Banks," MPRA Paper 70007, University Library of Munich, Germany, revised Jul 2014.
    2. Xuehai Zhang & Yuanhua Feng & Christian Peitz, 2017. "A general class of SemiGARCH models based on the Box-Cox transformation," Working Papers CIE 104, Paderborn University, CIE Center for International Economics.

  11. Yuanhua Feng & Zhichao Guo & Christian Peitz & Xiangyong Tan, 2011. "A tree-form constant market share analysis for modelling growth causes in international trade," Working Papers CIE 37, Paderborn University, CIE Center for International Economics.

    Cited by:

    1. Zhichao Guo & Yuanhua Feng & Xiangyong Tan, 2011. "Impact of China's accession to WTO and the financial crisis on China's exports to Germany," Working Papers CIE 36, Paderborn University, CIE Center for International Economics.
    2. Petra Čekmeová, 2016. "Konkurecieschopnosť ako cieľ hospodárskej politiky [Competitiveness as a Goal of Economic Policy]," Politická ekonomie, Prague University of Economics and Business, vol. 2016(3), pages 338-350.

  12. Yuanhua Feng, 2011. "Data-driven estimation of diurnal duration patterns," Working Papers CIE 44, Paderborn University, CIE Center for International Economics.

    Cited by:

    1. Yuanhua Feng & Sarah Forstinger & Christian Peitz, 2013. "On the iterative plug-in algorithm for estimating diurnal patterns of financial trade durations," Working Papers CIE 66, Paderborn University, CIE Center for International Economics.

  13. Zhichao Guo & Yuanhua Feng & Xiangyong Tan, 2010. "Short- and long-term impact of remarkable economic events on the growth causes of China-Germany trade in agri-food products," Working Papers CIE 32, Paderborn University, CIE Center for International Economics.

    Cited by:

    1. Zhichao Guo & Yuanhua Feng & Xiangyong Tan, 2011. "Impact of China's accession to WTO and the financial crisis on China's exports to Germany," Working Papers CIE 36, Paderborn University, CIE Center for International Economics.
    2. Guo, Zhichao & Feng, Yuanhua, 2013. "Modeling of the impact of the financial crisis and China's accession to WTO on China's exports to Germany," Economic Modelling, Elsevier, vol. 31(C), pages 474-483.
    3. Zhichao Guo & Yuanhua Feng & Thomas Gries, 2013. "Changes of China's agri-food exports to Germany caused by its accession to WTO and the 2008 financial crisis," Working Papers CIE 72, Paderborn University, CIE Center for International Economics.
    4. Fitrianto, Gigih & Widodo, Tri, 2017. "Generalized Constant Market Shares (G-CMS) Analysis: Composition and Partition Approach," MPRA Paper 79484, University Library of Munich, Germany.
    5. Yuanhua Feng & Zhichao Guo & Christian Peitz & Xiangyong Tan, 2011. "A tree-form constant market share model for growth causes in international trade based on multi-level classification," Working Papers CIE 42, Paderborn University, CIE Center for International Economics.
    6. Yuanhua Feng & Zhichao Guo & Christian Peitz & Xiangyong Tan, 2011. "A tree-form constant market share analysis for modelling growth causes in international trade," Working Papers CIE 37, Paderborn University, CIE Center for International Economics.

  14. Feng, Yuanhua & Beran, Jan, 2007. "Optimal convergence rates in nonparametric regression with fractional time series errors," CoFE Discussion Papers 07/15, University of Konstanz, Center of Finance and Econometrics (CoFE).

    Cited by:

    1. Feng, Yuanhua & Zhou, Chen, 2015. "Forecasting financial market activity using a semiparametric fractionally integrated Log-ACD," International Journal of Forecasting, Elsevier, vol. 31(2), pages 349-363.
    2. Kris Brabanter & Farzad Sabzikar, 2021. "Asymptotic theory for regression models with fractional local to unity root errors," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 84(7), pages 997-1024, October.
    3. Beran, Jan & Feng, Yuanhua, 2002. "Recent Developments in Non- and Semiparametric Regression with Fractional Time Series Errors," CoFE Discussion Papers 02/13, University of Konstanz, Center of Finance and Econometrics (CoFE).

  15. Feng, Yuanhua, 2006. "A local dynamic conditional correlation model," MPRA Paper 1592, University Library of Munich, Germany.

    Cited by:

    1. Matteo Barigozzi & Christian T. Brownlees & Giampiero M. Gallo & David Veredas, 2010. "Disentangling Systematic and Idiosyncratic Risk for Large Panels of Assets," Econometrics Working Papers Archive wp2010_06, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
    2. Colacito, Riccardo & Engle, Robert F. & Ghysels, Eric, 2011. "A component model for dynamic correlations," Journal of Econometrics, Elsevier, vol. 164(1), pages 45-59, September.
    3. Cristina Amado & Annastiina Silvennoinen & Timo Teräsvirta, 2018. "Models with Multiplicative Decomposition of Conditional Variances and Correlations," CREATES Research Papers 2018-14, Department of Economics and Business Economics, Aarhus University.
    4. Barigozzi, Matteo & Brownlees, Christian & Gallo, Giampiero M. & Veredas, David, 2014. "Disentangling systematic and idiosyncratic dynamics in panels of volatility measures," Journal of Econometrics, Elsevier, vol. 182(2), pages 364-384.
    5. Vargas, Gregorio A., 2008. "What Drives the Dynamic Conditional Correlation of Foreign Exchange and Equity Returns?," MPRA Paper 7174, University Library of Munich, Germany.
    6. Philippe Charlot & Vêlayoudom Marimoutou, 2008. "Hierarchical hidden Markov structure for dynamic correlations: the hierarchical RSDC model," Working Papers halshs-00285866, HAL.
    7. Nadine McCloud & Yongmiao Hong, 2011. "Testing The Structure Of Conditional Correlations In Multivariate Garch Models: A Generalized Cross‐Spectrum Approach," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 52(4), pages 991-1037, November.
    8. Anthony D. Hall & Annastiina Silvennoinen & Timo Teräsvirta, 2021. "Four Australian Banks and the Multivariate Time-Varying Smooth Transition Correlation GARCH model," CREATES Research Papers 2021-13, Department of Economics and Business Economics, Aarhus University.

  16. Feng, Yuanhua & Beran, Jan & Yu, Keming, 2006. "Modelling financial time series with SEMIFAR-GARCH model," MPRA Paper 1593, University Library of Munich, Germany.

    Cited by:

    1. Mohamed Chikhi & Anne Peguin-Feissolle & Michel Terraza, 2013. "SEMIFARMA-HYGARCH Modeling of Dow Jones Return Persistence," Post-Print hal-01499630, HAL.
    2. Feng, Yuanhua & Beran, Jan, 2007. "Optimal convergence rates in nonparametric regression with fractional time series errors," CoFE Discussion Papers 07/15, University of Konstanz, Center of Finance and Econometrics (CoFE).
    3. Alpha Basweti Kenyatta & Antony Ngunyi & Anthony Gichuhi Waititu, 2020. "News Classification using Support Vector Machine to Model and Forecast Volatility," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, vol. 9(1), pages 1-1.
    4. Bos, Charles S. & Koopman, Siem Jan & Ooms, Marius, 2014. "Long memory with stochastic variance model: A recursive analysis for US inflation," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 144-157.
    5. Mohamed Chikhi & Claude Diebolt & Tapas Mishra, 2019. "Measuring Success: Does Predictive Ability of an Asset Price Rest in 'Memory'? Insights from a New Approach," Working Papers 11-19, Association Française de Cliométrie (AFC).
    6. Mohamed CHIKHI & Claude DIEBOLT & Tapas MISHRA, 2019. "Does Predictive Ability of an Asset Price Rest in 'Memory'? Insights from a New Approach," Working Papers of BETA 2019-43, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    7. Mohamed Chikhi & Claude Diebolt & Tapas Mishra, 2019. "Memory that Drives! New Insights into Forecasting Performance of Stock Prices from SEMIFARMA-AEGAS Model," Working Papers of BETA 2019-24, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    8. Heni Boubaker & Nadia Sghaier, 2014. "Semiparametric Generalized Long Memory Modelling of GCC Stock Market Returns: A Wavelet Approach," Working Papers 2014-66, Department of Research, Ipag Business School.
    9. Mohamed CHIKHI & Ali BENDOB & Ahmed Ramzi SIAGH, 2019. "Day-of-the-week and month-of-the-year effects on French Small-Cap Volatility: the role of asymmetry and long memory," Eastern Journal of European Studies, Centre for European Studies, Alexandru Ioan Cuza University, vol. 10, pages 221-248, December.
    10. Fatimah Alshahrani & Ibrahim M. Almanjahie & Zouaoui Chikr Elmezouar & Zoulikha Kaid & Ali Laksaci & Mustapha Rachdi, 2022. "Functional Ergodic Time Series Analysis Using Expectile Regression," Mathematics, MDPI, vol. 10(20), pages 1-17, October.
    11. Boubaker, Heni & Sghaier, Nadia, 2015. "Semiparametric generalized long-memory modeling of some mena stock market returns: A wavelet approach," Economic Modelling, Elsevier, vol. 50(C), pages 254-265.
    12. C.S. Bos & S.J. Koopman & M. Ooms, 2007. "Long Memory Modelling of Inflation with Stochastic Variance and Structural Breaks," Tinbergen Institute Discussion Papers 07-099/4, Tinbergen Institute.

  17. Feng, Yuanhua, 2002. "An Iterative Plug-In Algorithm for Nonparametric Modelling of Seasonal Time Series," CoFE Discussion Papers 02/04, University of Konstanz, Center of Finance and Econometrics (CoFE).

    Cited by:

    1. Feng, Yuanhua, 2002. "Simultaneously Modelling Conditional Heteroskedasticity and Scale Change," CoFE Discussion Papers 02/12, University of Konstanz, Center of Finance and Econometrics (CoFE).
    2. Beran, Jan & Feng, Yuanhua, 2002. "Recent Developments in Non- and Semiparametric Regression with Fractional Time Series Errors," CoFE Discussion Papers 02/13, University of Konstanz, Center of Finance and Econometrics (CoFE).

  18. Feng, Yuanhua, 2002. "Simultaneously Modelling Conditional Heteroskedasticity and Scale Change," CoFE Discussion Papers 02/12, University of Konstanz, Center of Finance and Econometrics (CoFE).

    Cited by:

    1. Matthieu Garcin & Clément Goulet, 2017. "Non-parametric news impact curve: a variational approach," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01244292, HAL.
    2. Cristina Amado & Annastiina Silvennoinen & Timo Teräsvirta, 2018. "Models with Multiplicative Decomposition of Conditional Variances and Correlations," CREATES Research Papers 2018-14, Department of Economics and Business Economics, Aarhus University.
    3. Conrad, Christian & Schienle, Melanie, 2019. "Testing for an omitted multiplicative long-term component in GARCH models," Working Paper Series in Economics 121, Karlsruhe Institute of Technology (KIT), Department of Economics and Management.
    4. Cristina Amado & Timo Teräsvirta, 2012. "Modelling Changes in the Unconditional Variance of Long Stock Return Series," CREATES Research Papers 2012-07, Department of Economics and Business Economics, Aarhus University.
    5. Feng, Yuanhua & Zhou, Chen, 2015. "Forecasting financial market activity using a semiparametric fractionally integrated Log-ACD," International Journal of Forecasting, Elsevier, vol. 31(2), pages 349-363.
    6. Feng, Yuanhua, 2002. "Modelling Different Volatility Components," CoFE Discussion Papers 02/18, University of Konstanz, Center of Finance and Econometrics (CoFE).
    7. Silvennoinen Annastiina & Teräsvirta Timo, 2016. "Testing constancy of unconditional variance in volatility models by misspecification and specification tests," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 20(4), pages 347-364, September.
    8. Matthieu Garcin & Clément Goulet, 2017. "Non-parametric news impact curve: a variational approach," Post-Print halshs-01244292, HAL.
    9. Feng, Yuanhua & Yu, Keming, 2006. "Nonparametric estimation of time-varying covariance matrix in a slowly changing vector random walk model," MPRA Paper 1597, University Library of Munich, Germany.
    10. Yuanhua Feng & Sarah Forstinger & Christian Peitz, 2013. "On the iterative plug-in algorithm for estimating diurnal patterns of financial trade durations," Working Papers CIE 66, Paderborn University, CIE Center for International Economics.
    11. Feng, Yuanhua & Härdle, Wolfgang Karl, 2020. "A data-driven P-spline smoother and the P-Spline-GARCH models," IRTG 1792 Discussion Papers 2020-016, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
    12. Xuehai Zhang, 2019. "A Box-Cox semiparametric multiplicative error model," Working Papers CIE 125, Paderborn University, CIE Center for International Economics.
    13. Beran, Jan & Feng, Yuanhua, 2002. "Recent Developments in Non- and Semiparametric Regression with Fractional Time Series Errors," CoFE Discussion Papers 02/13, University of Konstanz, Center of Finance and Econometrics (CoFE).
    14. Xuehai Zhang, 2019. "A Box-Cox semiparametric multiplicative error model," Working Papers CIE 122, Paderborn University, CIE Center for International Economics.
    15. Feng, Yuanhua, 2006. "A local dynamic conditional correlation model," MPRA Paper 1592, University Library of Munich, Germany.
    16. Jing Wang, 2012. "Modelling time trend via spline confidence band," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 64(2), pages 275-301, April.
    17. Cristina Amado & Annastiina Silvennoinen & Timo Teräsvirta, 2017. "Modelling and forecasting WIG20 daily returns," CREATES Research Papers 2017-29, Department of Economics and Business Economics, Aarhus University.
    18. Matthieu Garcin & Clément Goulet, 2015. "A fully non-parametric heteroskedastic model," Documents de travail du Centre d'Economie de la Sorbonne 15086, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    19. Feiyu Jiang & Dong Li & Ke Zhu, 2019. "Adaptive inference for a semiparametric generalized autoregressive conditional heteroskedasticity model," Papers 1907.04147, arXiv.org, revised Oct 2020.
    20. Annastiina Silvennoinen & Timo Teräsvirta, 2017. "Consistency and asymptotic normality of maximum likelihood estimators of a multiplicative time-varying smooth transition correlation GARCH model," CREATES Research Papers 2017-28, Department of Economics and Business Economics, Aarhus University.
    21. Anthony D. Hall & Annastiina Silvennoinen & Timo Teräsvirta, 2021. "Four Australian Banks and the Multivariate Time-Varying Smooth Transition Correlation GARCH model," CREATES Research Papers 2021-13, Department of Economics and Business Economics, Aarhus University.
    22. Jian Kang & Johan Stax Jakobsen & Annastiina Silvennoinen & Timo Teräsvirta & Glen Wade, 2022. "A parsimonious test of constancy of a positive definite correlation matrix in a multivariate time-varying GARCH model," CREATES Research Papers 2022-01, Department of Economics and Business Economics, Aarhus University.
    23. Xuehai Zhang & Yuanhua Feng & Christian Peitz, 2017. "A general class of SemiGARCH models based on the Box-Cox transformation," Working Papers CIE 104, Paderborn University, CIE Center for International Economics.
    24. Yuanhua Feng, 2013. "Double-conditional smoothing of high-frequency volatility surface in a spatial multiplicative component GARCH with random effects," Working Papers CIE 65, Paderborn University, CIE Center for International Economics.

  19. Beran, Jan & Feng, Yuanhua, 2001. "Iterative plug-in algorithms for SEMIFAR models - definition, convergence and asymptotic properties," CoFE Discussion Papers 01/11, University of Konstanz, Center of Finance and Econometrics (CoFE).

    Cited by:

    1. Beran, Jan & Feng, Yuanhua, 2001. "Supplement to the Paper "Interative plug-in algorithms for SEMIFAR models - definition, convergence and asymptotic properties": Detailed Simulation Results," CoFE Discussion Papers 01/12, University of Konstanz, Center of Finance and Econometrics (CoFE).

  20. Beran, Jan & Feng, Yuanhua, 2001. "Supplement to the Paper "Interative plug-in algorithms for SEMIFAR models - definition, convergence and asymptotic properties": Detailed Simulation Results," CoFE Discussion Papers 01/12, University of Konstanz, Center of Finance and Econometrics (CoFE).

    Cited by:

    1. Beran, Jan & Feng, Yuanhua, 2002. "Recent Developments in Non- and Semiparametric Regression with Fractional Time Series Errors," CoFE Discussion Papers 02/13, University of Konstanz, Center of Finance and Econometrics (CoFE).

  21. Beran, Jan & Feng, Yuanhua & Heiler, Siegfried, 2000. "Modifying the double smoothing bandwidth selector in nonparametric regression," CoFE Discussion Papers 00/37, University of Konstanz, Center of Finance and Econometrics (CoFE).

    Cited by:

    1. Beran, Jan & Feng, Yuanhua, 2002. "Recent Developments in Non- and Semiparametric Regression with Fractional Time Series Errors," CoFE Discussion Papers 02/13, University of Konstanz, Center of Finance and Econometrics (CoFE).
    2. Feng, Yuanhua, 2002. "An Iterative Plug-In Algorithm for Nonparametric Modelling of Seasonal Time Series," CoFE Discussion Papers 02/04, University of Konstanz, Center of Finance and Econometrics (CoFE).

  22. Beran, Jan & Feng, Yuanhua & Ghosh, Sucharita & Sibbertsen, Philipp, 2000. "On robust local polynominal estimation with long-memory errors," Technical Reports 2000,35, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.

    Cited by:

    1. Quande Qin & Huangda He & Li Li & Ling-Yun He, 2020. "A Novel Decomposition-Ensemble Based Carbon Price Forecasting Model Integrated with Local Polynomial Prediction," Computational Economics, Springer;Society for Computational Economics, vol. 55(4), pages 1249-1273, April.
    2. Heni Boubaker & Nadia Sghaier, 2014. "Semiparametric Generalized Long Memory Modelling of GCC Stock Market Returns: A Wavelet Approach," Working Papers 2014-66, Department of Research, Ipag Business School.
    3. Jan G. de Gooijer & Rob J. Hyndman, 2005. "25 Years of IIF Time Series Forecasting: A Selective Review," Tinbergen Institute Discussion Papers 05-068/4, Tinbergen Institute.
    4. Beran, Jan & Shumeyko, Yevgen, 2012. "Bootstrap testing for discontinuities under long-range dependence," Journal of Multivariate Analysis, Elsevier, vol. 105(1), pages 322-347.
    5. Beran, Jan & Feng, Yuanhua, 2002. "Recent Developments in Non- and Semiparametric Regression with Fractional Time Series Errors," CoFE Discussion Papers 02/13, University of Konstanz, Center of Finance and Econometrics (CoFE).
    6. Sibbertsen, Philipp, 2001. "Long-memory versus structural breaks: An overview," Technical Reports 2001,28, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
    7. De Gooijer, Jan G. & Hyndman, Rob J., 2006. "25 years of time series forecasting," International Journal of Forecasting, Elsevier, vol. 22(3), pages 443-473.
    8. Boubaker, Heni & Sghaier, Nadia, 2015. "Semiparametric generalized long-memory modeling of some mena stock market returns: A wavelet approach," Economic Modelling, Elsevier, vol. 50(C), pages 254-265.

  23. Beran, Jan & Feng, Yuanhua, 2000. "Data-driven estimation of semiparametric fractional autoregressive models," CoFE Discussion Papers 00/16, University of Konstanz, Center of Finance and Econometrics (CoFE).

    Cited by:

    1. Beran, Jan & Feng, Yuanhua & Ghosh, Sucharita & Sibbertsen, Philipp, 2002. "On robust local polynomial estimation with long-memory errors," International Journal of Forecasting, Elsevier, vol. 18(2), pages 227-241.
    2. Beran, Jan & Feng, Yuanhua & Heiler, Siegfried, 2000. "Modifying the double smoothing bandwidth selector in nonparametric regression," CoFE Discussion Papers 00/37, University of Konstanz, Center of Finance and Econometrics (CoFE).
    3. Beran, Jan & Feng, Yuanhua, 2002. "SEMIFAR models--a semiparametric approach to modelling trends, long-range dependence and nonstationarity," Computational Statistics & Data Analysis, Elsevier, vol. 40(2), pages 393-419, August.
    4. Beran, Jan & Feng, Yuanhua, 2001. "Iterative plug-in algorithms for SEMIFAR models - definition, convergence and asymptotic properties," CoFE Discussion Papers 01/11, University of Konstanz, Center of Finance and Econometrics (CoFE).

  24. Beran, Jan & Feng, Yuanhua, 1999. "Local Polynomial Estimation with a FARIMA-GARCH Error Process," CoFE Discussion Papers 99/08, University of Konstanz, Center of Finance and Econometrics (CoFE).

    Cited by:

    1. W. K. Li & Shiqing Ling & Michael McAleer, 2001. "A Survey of Recent Theoretical Results for Time Series Models with GARCH Errors," ISER Discussion Paper 0545, Institute of Social and Economic Research, Osaka University.

  25. Beran, Jan & Feng, Yuanhua & Ocker, Dirk, 1999. "SEMIFAR models," Technical Reports 1999,03, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.

    Cited by:

    1. Mohamed Chikhi & Anne Peguin-Feissolle & Michel Terraza, 2013. "SEMIFARMA-HYGARCH Modeling of Dow Jones Return Persistence," Post-Print hal-01499630, HAL.
    2. 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.
    3. Yuanhua Feng, 2011. "Data-driven estimation of diurnal duration patterns," Working Papers CIE 44, Paderborn University, CIE Center for International Economics.
    4. Yuanhua Feng & Lixin Sun, 2013. "A semi-APARCH approach for comparing long-term and short-term risk in Chinese financial market and in mature financial markets," Working Papers CIE 69, Paderborn University, CIE Center for International Economics.
    5. Yuanhua Feng & Sarah Forstinger & Christian Peitz, 2013. "On the iterative plug-in algorithm for estimating diurnal patterns of financial trade durations," Working Papers CIE 66, Paderborn University, CIE Center for International Economics.
    6. Rinke, Saskia & Busch, Marie & Leschinski, Christian, 2017. "Long Memory, Breaks, and Trends: On the Sources of Persistence in Inflation Rates," Hannover Economic Papers (HEP) dp-584, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    7. Heni Boubaker & Nadia Sghaier, 2014. "Semiparametric Generalized Long Memory Modelling of GCC Stock Market Returns: A Wavelet Approach," Working Papers 2014-66, Department of Research, Ipag Business School.
    8. Feng, Yuanhua & Beran, Jan & Yu, Keming, 2007. "Modelling financial time series with SEMIFAR-GARCH model," CoFE Discussion Papers 07/14, University of Konstanz, Center of Finance and Econometrics (CoFE).
    9. Beran, Jan & Shumeyko, Yevgen, 2012. "Bootstrap testing for discontinuities under long-range dependence," Journal of Multivariate Analysis, Elsevier, vol. 105(1), pages 322-347.
    10. Beran, Jan & Weiershäuser, Arno, 2011. "On spline regression under Gaussian subordination with long memory," Journal of Multivariate Analysis, Elsevier, vol. 102(2), pages 315-335, February.
    11. Sibbertsen, Philipp, 2001. "Long-memory versus structural breaks: An overview," Technical Reports 2001,28, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
    12. Yuanhua Feng, 2010. "An iterative plug-in algorithm for decomposing seasonal time series using the Berlin Method," Working Papers CIE 33, Paderborn University, CIE Center for International Economics.
    13. Xuehai Zhang & Yuanhua Feng & Christian Peitz, 2017. "A general class of SemiGARCH models based on the Box-Cox transformation," Working Papers CIE 104, Paderborn University, CIE Center for International Economics.

  26. Beran, Jan & Feng, Yuanhua & Franke, Günter & Hess, Dieter & Ocker, Dirk, 1999. "SEMIFAR Models, with Applications to Commodities, Exchange Rates and the Volatility of Stock Market Indices," CoFE Discussion Papers 99/18, University of Konstanz, Center of Finance and Econometrics (CoFE).

    Cited by:

    1. Beran, Jan & Feng, Yuanhua, 1999. "Local Polynomial Estimation with a FARIMA-GARCH Error Process," CoFE Discussion Papers 99/08, University of Konstanz, Center of Finance and Econometrics (CoFE).
    2. Beran, Jan & Ocker, Dirk, 1999. "Volatility of Stock Market Indices - An Analysis based on SEMIFAR Models," CoFE Discussion Papers 99/14, University of Konstanz, Center of Finance and Econometrics (CoFE).

  27. Beran, Jan & Feng, Yuanhua, 1999. "Local Polynomial Fitting with Long-Memory, Short-Memory and Antipersistent errors," CoFE Discussion Papers 99/07, University of Konstanz, Center of Finance and Econometrics (CoFE).

    Cited by:

    1. Beran, Jan & Feng, Yuanhua & Ghosh, Sucharita & Sibbertsen, Philipp, 2002. "On robust local polynomial estimation with long-memory errors," International Journal of Forecasting, Elsevier, vol. 18(2), pages 227-241.
    2. Feng, Yuanhua & Beran, Jan, 2007. "Optimal convergence rates in nonparametric regression with fractional time series errors," CoFE Discussion Papers 07/15, University of Konstanz, Center of Finance and Econometrics (CoFE).
    3. Marlon Fritz & Thomas Gries & Yuanhua Feng, 2019. "Growth Trends and Systematic Patterns of Booms and Busts‐Testing 200 Years of Business Cycle Dynamics," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 81(1), pages 62-78, February.
    4. Beran, Jan & Feng, Yuanhua & Franke, Günter & Hess, Dieter & Ocker, Dirk, 1999. "SEMIFAR Models, with Applications to Commodities, Exchange Rates and the Volatility of Stock Market Indices," CoFE Discussion Papers 99/18, University of Konstanz, Center of Finance and Econometrics (CoFE).
    5. Klaus Abberger, 2004. "Nonparametric Regression and the Detection of Turning Points in the Ifo Business Climate," CESifo Working Paper Series 1283, CESifo.
    6. Feng, Yuanhua & Zhou, Chen, 2015. "Forecasting financial market activity using a semiparametric fractionally integrated Log-ACD," International Journal of Forecasting, Elsevier, vol. 31(2), pages 349-363.
    7. Liu, Sisheng & Kong, Xiaoli, 2022. "A generalized correlated Cp criterion for derivative estimation with dependent errors," Computational Statistics & Data Analysis, Elsevier, vol. 171(C).
    8. Gao, Jiti & Robinson, Peter M., 2014. "Inference on nonstationary time series with moving mean," LSE Research Online Documents on Economics 66509, London School of Economics and Political Science, LSE Library.
    9. Gao, Jiti, 2007. "Nonlinear time series: semiparametric and nonparametric methods," MPRA Paper 39563, University Library of Munich, Germany, revised 01 Sep 2007.
    10. Fritz, Marlon, 2019. "Steady state adjusting trends using a data-driven local polynomial regression," Economic Modelling, Elsevier, vol. 83(C), pages 312-325.
    11. Beran, Jan & Shumeyko, Yevgen, 2012. "Bootstrap testing for discontinuities under long-range dependence," Journal of Multivariate Analysis, Elsevier, vol. 105(1), pages 322-347.
    12. Beran, Jan, 2002. "Prediction of 0-1-events for short- and long-memory time series," CoFE Discussion Papers 02/11, University of Konstanz, Center of Finance and Econometrics (CoFE).
    13. Beran, Jan & Feng, Yuanhua, 2002. "Recent Developments in Non- and Semiparametric Regression with Fractional Time Series Errors," CoFE Discussion Papers 02/13, University of Konstanz, Center of Finance and Econometrics (CoFE).
    14. Beran, Jan & Weiershäuser, Arno, 2011. "On spline regression under Gaussian subordination with long memory," Journal of Multivariate Analysis, Elsevier, vol. 102(2), pages 315-335, February.
    15. Yuanhua Feng, 2010. "An iterative plug-in algorithm for decomposing seasonal time series using the Berlin Method," Working Papers CIE 33, Paderborn University, CIE Center for International Economics.
    16. Jing Wang, 2012. "Modelling time trend via spline confidence band," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 64(2), pages 275-301, April.
    17. Feng, Yuanhua, 2002. "An Iterative Plug-In Algorithm for Nonparametric Modelling of Seasonal Time Series," CoFE Discussion Papers 02/04, University of Konstanz, Center of Finance and Econometrics (CoFE).
    18. Feng, Yuanhua, 2003. "Kernel Dependent Functions in Nonparametric Regression with Fractional Time Series Errors," CoFE Discussion Papers 03/02, University of Konstanz, Center of Finance and Econometrics (CoFE).
    19. Boubaker, Heni & Sghaier, Nadia, 2015. "Semiparametric generalized long-memory modeling of some mena stock market returns: A wavelet approach," Economic Modelling, Elsevier, vol. 50(C), pages 254-265.
    20. Gao, Jiti & Robinson, Peter M., 2016. "Inference On Nonstationary Time Series With Moving Mean," Econometric Theory, Cambridge University Press, vol. 32(2), pages 431-457, April.
    21. Zhibiao Zhao & Yiyun Zhang & Runze Li, 2014. "Non-Parametric Estimation Under Strong Dependence," Journal of Time Series Analysis, Wiley Blackwell, vol. 35(1), pages 4-15, January.
    22. Beran, Jan & Feng, Yuanhua, 2002. "SEMIFAR models--a semiparametric approach to modelling trends, long-range dependence and nonstationarity," Computational Statistics & Data Analysis, Elsevier, vol. 40(2), pages 393-419, August.
    23. Bastian Schäfer, 2021. "Bandwidth selection for the Local Polynomial Double Conditional Smoothing under Spatial ARMA Errors," Working Papers CIE 146, Paderborn University, CIE Center for International Economics.
    24. Gries Thomas & Fritz Marlon & Feng Yuanhua, 2017. "Slow Booms and Deep Busts: 160 Years of Business Cycles in Spain," Review of Economics, De Gruyter, vol. 68(2), pages 153-166, August.

  28. Heiler, Siegfried & Feng, Yuanhua, 1997. "A bootstrap bandwidth selector for local polynomial fitting," Discussion Papers, Series II 344, University of Konstanz, Collaborative Research Centre (SFB) 178 "Internationalization of the Economy".

    Cited by:

    1. K. Żychaluk, 2014. "Bootstrap bandwidth selection method for local linear estimator in exponential family models," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 26(2), pages 305-319, June.
    2. Yuanhua Feng, 2010. "An iterative plug-in algorithm for decomposing seasonal time series using the Berlin Method," Working Papers CIE 33, Paderborn University, CIE Center for International Economics.
    3. Heiler, Siegfried, 1999. "A Survey on Nonparametric Time Series Analysis," CoFE Discussion Papers 99/05, University of Konstanz, Center of Finance and Econometrics (CoFE).
    4. Yuanhua Feng, 2013. "Double-conditional smoothing of high-frequency volatility surface in a spatial multiplicative component GARCH with random effects," Working Papers CIE 65, Paderborn University, CIE Center for International Economics.

  29. Heiler, Siegfried & Feng, Yuanhua, 1995. "Data-driven optimal decomposition of time series," Discussion Papers, Series II 287, University of Konstanz, Collaborative Research Centre (SFB) 178 "Internationalization of the Economy".

    Cited by:

    1. Yuanhua Feng, 2010. "An iterative plug-in algorithm for decomposing seasonal time series using the Berlin Method," Working Papers CIE 33, Paderborn University, CIE Center for International Economics.
    2. Beran, Jan & Heiler, Mark A., 2008. "A nonparametric regression cross spectrum for multivariate time series," Journal of Multivariate Analysis, Elsevier, vol. 99(4), pages 684-714, April.
    3. Heiler, Siegfried & Feng, Yuanhua, 1995. "A simple root n bandwidth selector for nonparametric regression," Discussion Papers, Series II 286, University of Konstanz, Collaborative Research Centre (SFB) 178 "Internationalization of the Economy".

  30. Heiler, Siegfried & Feng, Yuanhua, 1995. "A simple root n bandwidth selector for nonparametric regression," Discussion Papers, Series II 286, University of Konstanz, Collaborative Research Centre (SFB) 178 "Internationalization of the Economy".

    Cited by:

    1. Beran, Jan & Feng, Yuanhua, 1999. "Local Polynomial Fitting with Long-Memory, Short-Memory and Antipersistent errors," CoFE Discussion Papers 99/07, University of Konstanz, Center of Finance and Econometrics (CoFE).
    2. Heiler, Siegfried & Feng, Yuanhua, 1997. "A bootstrap bandwidth selector for local polynomial fitting," Discussion Papers, Series II 344, University of Konstanz, Collaborative Research Centre (SFB) 178 "Internationalization of the Economy".
    3. Heiler, Siegfried & Feng, Yuanhua, 1995. "Data-driven optimal decomposition of time series," Discussion Papers, Series II 287, University of Konstanz, Collaborative Research Centre (SFB) 178 "Internationalization of the Economy".
    4. Yuanhua Feng, 2013. "Double-conditional smoothing of high-frequency volatility surface in a spatial multiplicative component GARCH with random effects," Working Papers CIE 65, Paderborn University, CIE Center for International Economics.

Articles

  1. Yuanhua Feng & Thomas Gries & Marlon Fritz, 2020. "Data-driven local polynomial for the trend and its derivatives in economic time series," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 32(2), pages 510-533, April.
    See citations under working paper version above.
  2. Fritz, Marlon & Gries, Thomas & Feng, Yuanhua, 2019. "Secular stagnation? Is there statistical evidence of an unprecedented, systematic decline in growth?," Economics Letters, Elsevier, vol. 181(C), pages 47-50.

    Cited by:

    1. Thomas Gries, 2020. "Income polarization and stagnation in astochastic model of growth: When the demand side matters," Working Papers CIE 132, Paderborn University, CIE Center for International Economics.
    2. Fritz, Marlon, 2019. "Steady state adjusting trends using a data-driven local polynomial regression," Economic Modelling, Elsevier, vol. 83(C), pages 312-325.
    3. Marlon Fritz & Thomas Gries & Lukas Wiechers, 2022. "An Early Indicator for Anomalous Stock Market Performance," Working Papers CIE 153, Paderborn University, CIE Center for International Economics.
    4. Di Bucchianico, Stefano, 2020. "Discussing Secular Stagnation: A case for freeing good ideas from theoretical constraints?," Structural Change and Economic Dynamics, Elsevier, vol. 55(C), pages 288-297.

  3. Marlon Fritz & Thomas Gries & Yuanhua Feng, 2019. "Growth Trends and Systematic Patterns of Booms and Busts‐Testing 200 Years of Business Cycle Dynamics," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 81(1), pages 62-78, February.
    See citations under working paper version above.
  4. Zhichao Guo & Yuanhua Feng & Thomas Gries, 2015. "Changes of China’s agri-food exports to Germany caused by its accession to WTO and the 2008 financial crisis," China Agricultural Economic Review, Emerald Group Publishing, vol. 7(2), pages 262-279, May.
    See citations under working paper version above.
  5. Jan Beran & Yuanhua Feng & Sucharita Ghosh, 2015. "Modelling long-range dependence and trends in duration series: an approach based on EFARIMA and ESEMIFAR models," Statistical Papers, Springer, vol. 56(2), pages 431-451, May.

    Cited by:

    1. Feng, Yuanhua & Zhou, Chen, 2015. "Forecasting financial market activity using a semiparametric fractionally integrated Log-ACD," International Journal of Forecasting, Elsevier, vol. 31(2), pages 349-363.
    2. Sebastian Letmathe, 2022. "Data-driven P-Splines under short-range dependence," Working Papers CIE 152, Paderborn University, CIE Center for International Economics.
    3. Lihong Wang, 2020. "Nearest neighbors estimation for long memory functional data," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 29(4), pages 709-725, December.
    4. Yuanhua Feng & Jan Beran & Sebastian Letmathe & Sucharita Ghosh, 2020. "Fractionally integrated Log-GARCH with application to value at risk and expected shortfall," Working Papers CIE 137, Paderborn University, CIE Center for International Economics.
    5. Yuanhua Feng & Jan Beran & Sebastian Letmathe, 2021. "An extended exponential SEMIFAR model with application in R," Working Papers CIE 145, Paderborn University, CIE Center for International Economics.
    6. Sucarrat, Genaro, 2018. "The Log-GARCH Model via ARMA Representations," MPRA Paper 100386, University Library of Munich, Germany.
    7. Lihong Wang, 2020. "Lack of fit test for long memory regression models," Statistical Papers, Springer, vol. 61(3), pages 1043-1067, June.
    8. Xuehai Zhang & Yuanhua Feng & Christian Peitz, 2017. "A general class of SemiGARCH models based on the Box-Cox transformation," Working Papers CIE 104, Paderborn University, CIE Center for International Economics.
    9. Sebastian Letmathe & Yuanhua Feng & André Uhde, 2021. "Semiparametric GARCH models with long memory applied to Value at Risk and Expected Shortfall," Working Papers CIE 141, Paderborn University, CIE Center for International Economics.

  6. Feng, Yuanhua & Zhou, Chen, 2015. "Forecasting financial market activity using a semiparametric fractionally integrated Log-ACD," International Journal of Forecasting, Elsevier, vol. 31(2), pages 349-363.
    See citations under working paper version above.
  7. Yuanhua Feng & Jan Beran, 2013. "Optimal convergence rates in non-parametric regression with fractional time series errors," Journal of Time Series Analysis, Wiley Blackwell, vol. 34(1), pages 30-39, January.
    See citations under working paper version above.
  8. Guo, Zhichao & Feng, Yuanhua & Tan, Xiangyong, 2011. "Short- and long-term impact of remarkable economic events on the growth causes of China–Germany trade in agri-food products," Economic Modelling, Elsevier, vol. 28(6), pages 2359-2368.
    See citations under working paper version above.
  9. Feng, Yuanhua & McNeil, Alexander J., 2008. "Modelling of scale change, periodicity and conditional heteroskedasticity in return volatility," Economic Modelling, Elsevier, vol. 25(5), pages 850-867, September.

    Cited by:

    1. Cristina Amado & Annastiina Silvennoinen & Timo Teräsvirta, 2018. "Models with Multiplicative Decomposition of Conditional Variances and Correlations," CREATES Research Papers 2018-14, Department of Economics and Business Economics, Aarhus University.
    2. Shiyi Chen & Wolfgang K. Härdle & Kiho Jeong, 2010. "Forecasting volatility with support vector machine-based GARCH model," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 29(4), pages 406-433.
    3. Xuehai Zhang & Yuanhua Feng & Christian Peitz, 2017. "A general class of SemiGARCH models based on the Box-Cox transformation," Working Papers CIE 104, Paderborn University, CIE Center for International Economics.
    4. Yuanhua Feng, 2013. "Double-conditional smoothing of high-frequency volatility surface in a spatial multiplicative component GARCH with random effects," Working Papers CIE 65, Paderborn University, CIE Center for International Economics.

  10. Feng, Yuanhua, 2004. "Simultaneously Modeling Conditional Heteroskedasticity And Scale Change," Econometric Theory, Cambridge University Press, vol. 20(3), pages 563-596, June.
    See citations under working paper version above.
  11. Beran, Jan & Feng, Yuanhua & Ghosh, Sucharita & Sibbertsen, Philipp, 2002. "On robust local polynomial estimation with long-memory errors," International Journal of Forecasting, Elsevier, vol. 18(2), pages 227-241.
    See citations under working paper version above.
  12. Beran, Jan & Feng, Yuanhua, 2002. "SEMIFAR models--a semiparametric approach to modelling trends, long-range dependence and nonstationarity," Computational Statistics & Data Analysis, Elsevier, vol. 40(2), pages 393-419, August.

    Cited by:

    1. Mohamed Chikhi & Anne Peguin-Feissolle & Michel Terraza, 2013. "SEMIFARMA-HYGARCH Modeling of Dow Jones Return Persistence," Post-Print hal-01499630, HAL.
    2. 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.
    3. Moghtaderi, Azadeh & Flandrin, Patrick & Borgnat, Pierre, 2013. "Trend filtering via empirical mode decompositions," Computational Statistics & Data Analysis, Elsevier, vol. 58(C), pages 114-126.
    4. Zhongjun Qu, 2010. "A Test Against Spurious Long Memory," Boston University - Department of Economics - Working Papers Series WP2010-051, Boston University - Department of Economics.
    5. Beran, Jan & Ocker, Dirk, 2002. "Pricing of cap-interest rates based on renewal processes," CoFE Discussion Papers 02/10, University of Konstanz, Center of Finance and Econometrics (CoFE).
    6. Feng, Yuanhua & Zhou, Chen, 2015. "Forecasting financial market activity using a semiparametric fractionally integrated Log-ACD," International Journal of Forecasting, Elsevier, vol. 31(2), pages 349-363.
    7. Sibbertsen, Philipp & Leschinski, Christian & Busch, Marie, 2018. "A multivariate test against spurious long memory," Journal of Econometrics, Elsevier, vol. 203(1), pages 33-49.
    8. Mohamed Chikhi & Claude Diebolt & Tapas Mishra, 2019. "Memory that Drives! New Insights into Forecasting Performance of Stock Prices from SEMIFARMA-AEGAS Model," Working Papers of BETA 2019-24, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    9. Rob J Hyndman & Maxwell L. King & Ivet Pitrun & Baki Billah, 2002. "Local Linear Forecasts Using Cubic Smoothing Splines," Monash Econometrics and Business Statistics Working Papers 10/02, Monash University, Department of Econometrics and Business Statistics.
    10. Feng, Yuanhua & Yu, Keming, 2006. "Nonparametric estimation of time-varying covariance matrix in a slowly changing vector random walk model," MPRA Paper 1597, University Library of Munich, Germany.
    11. Rinke, Saskia & Busch, Marie & Leschinski, Christian, 2017. "Long Memory, Breaks, and Trends: On the Sources of Persistence in Inflation Rates," Hannover Economic Papers (HEP) dp-584, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    12. Feng, Yuanhua & Beran, Jan & Yu, Keming, 2007. "Modelling financial time series with SEMIFAR-GARCH model," CoFE Discussion Papers 07/14, University of Konstanz, Center of Finance and Econometrics (CoFE).
    13. Beran, Jan & Shumeyko, Yevgen, 2012. "Bootstrap testing for discontinuities under long-range dependence," Journal of Multivariate Analysis, Elsevier, vol. 105(1), pages 322-347.
    14. Feng, Yuanhua & McNeil, Alexander J., 2008. "Modelling of scale change, periodicity and conditional heteroskedasticity in return volatility," Economic Modelling, Elsevier, vol. 25(5), pages 850-867, September.
    15. Beran, Jan & Feng, Yuanhua, 2002. "Recent Developments in Non- and Semiparametric Regression with Fractional Time Series Errors," CoFE Discussion Papers 02/13, University of Konstanz, Center of Finance and Econometrics (CoFE).
    16. Beran, Jan & Weiershäuser, Arno, 2011. "On spline regression under Gaussian subordination with long memory," Journal of Multivariate Analysis, Elsevier, vol. 102(2), pages 315-335, February.
    17. Feng, Yuanhua, 2006. "A local dynamic conditional correlation model," MPRA Paper 1592, University Library of Munich, Germany.
    18. Jing Wang, 2012. "Modelling time trend via spline confidence band," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 64(2), pages 275-301, April.
    19. Dalla, Violetta & Giraitis, Liudas & Robinson, Peter M., 2020. "Asymptotic theory for time series with changing mean and variance," Journal of Econometrics, Elsevier, vol. 219(2), pages 281-313.
    20. Chun-Hung Chen & Wei-Choun Yu & Eric Zivot, 2009. "Predicting Stock Volatility Using After-Hours Information," Working Papers UWEC-2009-01, University of Washington, Department of Economics.

  13. Jan Beran & Yuanhua Feng, 2002. "Local Polynomial Fitting with Long-Memory, Short-Memory and Antipersistent Errors," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 54(2), pages 291-311, June.
    See citations under working paper version above.
  14. Y. Feng & J. Sun, 2001. "Computing the Optimal Replenishment Policy for Inventory Systems with Random Discount Opportunities," Operations Research, INFORMS, vol. 49(5), pages 790-795, October.

    Cited by:

    1. Xiuli Chao & Frank Y. Chen, 2005. "An Optimal Production and Shutdown Strategy when a Supplier Offers an Incentive Program," Manufacturing & Service Operations Management, INFORMS, vol. 7(2), pages 130-143, March.
    2. Peter Berling & Victor Martínez-de-Albéniz, 2011. "Optimal Inventory Policies when Purchase Price and Demand Are Stochastic," Operations Research, INFORMS, vol. 59(1), pages 109-124, February.
    3. Tamjidzad, Shahrzad & Mirmohammadi, S. Hamid, 2015. "An optimal (r, Q) policy in a stochastic inventory system with all-units quantity discount and limited sharable resource," European Journal of Operational Research, Elsevier, vol. 247(1), pages 93-100.
    4. Mahdi Tajbakhsh, M. & Lee, Chi-Guhn & Zolfaghari, Saeed, 2011. "An inventory model with random discount offerings," Omega, Elsevier, vol. 39(6), pages 710-718, December.
    5. Srinivas R. Chakravarthy & B. Madhu Rao, 2021. "Queuing-Inventory Models with MAP Demands and Random Replenishment Opportunities," Mathematics, MDPI, vol. 9(10), pages 1-26, May.
    6. Berling, Peter, 2008. "The capital cost of holding inventory with stochastically mean-reverting purchase price," European Journal of Operational Research, Elsevier, vol. 186(2), pages 620-636, April.
    7. Pinçe, Çerağ, 2021. "Forward Buying and Strategic Stockouts," European Journal of Operational Research, Elsevier, vol. 289(1), pages 118-131.
    8. Youyi Feng & Zhan Pang, 2010. "Dynamic coordination of production planning and sales admission control in the presence of a spot market," Naval Research Logistics (NRL), John Wiley & Sons, vol. 57(4), pages 309-329, June.

Books

  1. Jan Beran & Yuanhua Feng & Hartmut Hebbel (ed.), 2015. "Empirical Economic and Financial Research," Advanced Studies in Theoretical and Applied Econometrics, Springer, edition 127, number 978-3-319-03122-4, January-J.

    Cited by:

    1. Derek Nokes & Lawrence Fulton, 2019. "Analysis of a Global Futures Trend-Following Strategy," JRFM, MDPI, vol. 12(3), pages 1-18, June.
    2. Henry R. Hyatt & Tucker S. McElroy, 2019. "Labor Reallocation, Employment, and Earnings: Vector Autoregression Evidence," LABOUR, CEIS, vol. 33(4), pages 463-487, December.
    3. McElroy, Tucker S. & Wildi, Marc, 2020. "The Multivariate Linear Prediction Problem: Model-Based and Direct Filtering Solutions," Econometrics and Statistics, Elsevier, vol. 14(C), pages 112-130.
    4. Bastian Schäfer, 2021. "Bandwidth selection for the Local Polynomial Double Conditional Smoothing under Spatial ARMA Errors," Working Papers CIE 146, Paderborn University, CIE Center for International Economics.

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 17 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 (12) 2007-02-10 2007-02-10 2007-02-10 2014-06-14 2014-06-14 2017-05-07 2017-05-07 2020-12-07 2021-03-15 2021-04-26 2021-08-23 2021-10-04. Author is listed
  2. NEP-ECM: Econometrics (10) 2007-02-10 2007-02-10 2007-02-10 2017-05-07 2017-05-07 2020-12-07 2021-03-15 2021-06-14 2021-08-23 2021-08-23. Author is listed
  3. NEP-ORE: Operations Research (6) 2021-03-15 2021-04-26 2021-06-14 2021-08-23 2021-08-23 2021-10-04. Author is listed
  4. NEP-RMG: Risk Management (4) 2014-06-14 2020-12-07 2021-03-15 2021-04-26
  5. NEP-FOR: Forecasting (3) 2007-02-10 2014-06-14 2020-12-07
  6. NEP-ISF: Islamic Finance (2) 2021-08-23 2021-08-23
  7. NEP-MST: Market Microstructure (2) 2014-06-14 2021-08-23
  8. NEP-TRA: Transition Economics (2) 2014-06-14 2014-06-14
  9. NEP-AGR: Agricultural Economics (1) 2014-06-14
  10. NEP-BAN: Banking (1) 2020-12-07
  11. NEP-CBA: Central Banking (1) 2021-04-26
  12. NEP-CMP: Computational Economics (1) 2014-06-14
  13. NEP-CNA: China (1) 2014-06-14
  14. NEP-INT: International Trade (1) 2014-06-14

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