IDEAS home Printed from https://ideas.repec.org/f/pch1197.html
   My authors  Follow this author

Efthymia Chrysanthidoy

Personal Details

First Name:Efthymia
Middle Name:
Last Name:Chrysanthidoy
Suffix:
RePEc Short-ID:pch1197
Terminal Degree: Department of Economics; Democritus University of Thrace (from RePEc Genealogy)

Affiliation

Department of Economics
Democritus University of Thrace

Komotini, Greece
http://www.econ.duth.gr/

: (25310) 39.503
(25310) 39.502
University Campus, Komotini, 69100
RePEc:edi:didutgr (more details at EDIRC)

Research output

as
Jump to: Working papers

Working papers

  1. Gogas, Periklis & Papadimitriou , Theophilos & Matthaiou, Maria- Artemis & Chrysanthidou, Efthymia, 2014. "Yield Curve and Recession Forecasting in a Machine Learning Framework," DUTH Research Papers in Economics 8-2014, Democritus University of Thrace, Department of Economics.
  2. Chrysanthidou, Efthimia & Gogas, Periklis & Papadimitriou, Theophilos, 2012. "Optimum Currency Areas within the US and Canada a Data Analysis Approach," DUTH Research Papers in Economics 4-2012, Democritus University of Thrace, Department of Economics.

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. Gogas, Periklis & Papadimitriou , Theophilos & Matthaiou, Maria- Artemis & Chrysanthidou, Efthymia, 2014. "Yield Curve and Recession Forecasting in a Machine Learning Framework," DUTH Research Papers in Economics 8-2014, Democritus University of Thrace, Department of Economics.

    Cited by:

    1. Vasilios Plakandaras & Rangan Gupta & Periklis Gogas & Theophilos Papadimitriou, 2017. "Forecasting the U.S. Real House Price Index," Papers 1707.04868, arXiv.org.
    2. Maas, Benedikt, 2019. "Nowcasting and forecasting US recessions: Evidence from the Super Learner," MPRA Paper 96408, University Library of Munich, Germany.
    3. Elie Bouri & Riza Demirer & Rangan Gupta & Mark E. Wohar, 2019. "Gold, Platinum and the Predictability of Bond Risk Premia," Working Papers 201967, University of Pretoria, Department of Economics.
    4. N. Loukeris & I. Eleftheriadis & E. Livanis, 2016. "The Portfolio Heuristic Optimisation System (PHOS)," Computational Economics, Springer;Society for Computational Economics, vol. 48(4), pages 627-648, December.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

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 2 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-MAC: Macroeconomics (2) 2012-10-13 2014-02-15. Author is listed
  2. NEP-FOR: Forecasting (1) 2014-02-15. Author is listed
  3. NEP-MON: Monetary Economics (1) 2012-10-13. Author is listed
  4. NEP-SOG: Sociology of Economics (1) 2014-02-15. Author is listed

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, Efthymia Chrysanthidoy 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.