IDEAS home Printed from https://ideas.repec.org/e/pmo25.html
   My authors  Follow this author

Martin Moryson

Personal Details

First Name:Martin
Middle Name:
Last Name:Moryson
Suffix:
RePEc Short-ID:pmo25
Terminal Degree:1998 Wirtschaftswissenschaftliche Fakultät; Humboldt-Universität Berlin (from RePEc Genealogy)

Research output

as
Jump to: Working papers

Working papers

  1. M. Moryson, 1996. "Tests for Random Walk Coefficients in State Space Models," SFB 373 Discussion Papers 1996,66, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
  2. Martin MORYSON, 1994. "Testing for Random Walk Coefficients in a Simple State Space Model," SFB 373 Discussion Papers 1994,21, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
  3. Helmut LÜTKEPOHL & Martin MORYSON & Jürgen WOLTERS, 1994. "Stabilitaetsanalyse der bundesdeutschen Geldnachfrage anhand alternativer Ansaetze zur Modellierung variierender Regressionskoeffizienten," SFB 373 Discussion Papers 1994,1, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.

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. Martin MORYSON, 1994. "Testing for Random Walk Coefficients in a Simple State Space Model," SFB 373 Discussion Papers 1994,21, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.

    Cited by:

    1. Meier Carsten-Patrick, 2001. "Trend und Zyklus im Bruttoinlandsprodukt der Bundesrepublik Deutschland. Eine Anmerkung / Trends and Cycles in Germany’s Real Gross Domestic Product. A Note," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 221(2), pages 168-178, April.
    2. Costas Anyfantakis & Guglielmo Maria Caporale & Nikitas Pittis, 2008. "Parameter instability and forecasting performance: a Monte Carlo study," International Journal of Business Forecasting and Marketing Intelligence, Inderscience Enterprises Ltd, vol. 1(1), pages 1-20.
    3. Caporale, Guglielmo Maria & Pittis, Nikitas, 2004. "Robustness of the CUSUM and CUSUM-of-Squares Tests to Serial Correlation, Endogeneity and Lack of Structural Invariance. Some Monte Carlo Evidence," Economics Series 157, Institute for Advanced Studies.
    4. Rainer Schulz & Hizir Sofyan & Axel Werwatz & Rodrigo Witzel, 2003. "Online Prediction of Berlin Single-Family House Prices," Computational Statistics, Springer, vol. 18(3), pages 449-462, September.
    5. Lütkepohl,Helmut & Krätzig,Markus (ed.), 2004. "Applied Time Series Econometrics," Cambridge Books, Cambridge University Press, number 9780521547871, May.
    6. Meier, Carsten-Patrick, 2000. "Trend und Zyklus im Bruttoinlandsprodukt der Bundesrepublik Deutschland - eine Anmerkung," Kiel Working Papers 993, Kiel Institute for the World Economy (IfW).
    7. Markus Ebner & Thorsten Neumann, 2005. "Time-Varying Betas of German Stock Returns," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 19(1), pages 29-46, June.
    8. Giuseppe Storti & Cosimo Vitale, 2003. "Likelihood inference in BL-GARCH models," Computational Statistics, Springer, vol. 18(3), pages 387-400, September.

  2. Helmut LÜTKEPOHL & Martin MORYSON & Jürgen WOLTERS, 1994. "Stabilitaetsanalyse der bundesdeutschen Geldnachfrage anhand alternativer Ansaetze zur Modellierung variierender Regressionskoeffizienten," SFB 373 Discussion Papers 1994,1, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.

    Cited by:

    1. Scharnagl, Michael, 1996. "Monetary aggregates with special reference to structural changes in the financial markets," Discussion Paper Series 1: Economic Studies 1996,02e, Deutsche Bundesbank.
    2. Michel Peytrignet & Christof Stahel, 1998. "Stability of money demand in Switzerland: A comparison of the M2 and M3 cases," Empirical Economics, Springer, vol. 23(3), pages 437-454.
    3. Markus Ebner & Thorsten Neumann, 2005. "Time-Varying Betas of German Stock Returns," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 19(1), pages 29-46, June.
    4. Scharnagl, Michael, 1996. "Geldmengenaggregate unter Berücksichtigung struktureller Veränderungen an den Finanzmärkten," Discussion Paper Series 1: Economic Studies 1996,02, Deutsche Bundesbank.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Co-authorship network on CollEc

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, Martin Moryson should log into the RePEc Author Service.

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

Please note that most corrections can take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.