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Alexander Foltas

Personal Details

First Name:Alexander
Middle Name:
Last Name:Foltas
Suffix:
RePEc Short-ID:pfo336
[This author has chosen not to make the email address public]

Affiliation

Fächergruppe Volkswirtschaftslehre
Helmut Schmidt Universität Hamburg

Hamburg, Germany
http://www.hsu-hh.de/fgvwl/
RePEc:edi:egbwhde (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Foltas, Alexander, 2024. "Inefficient forecast narratives: A BERT-based approach," Working Papers 45, German Research Foundation's Priority Programme 1859 "Experience and Expectation. Historical Foundations of Economic Behaviour", Humboldt University Berlin.
  2. Foltas, Alexander, 2023. "Quantifying priorities in business cycle reports: Analysis of recurring textual patterns around peaks and troughs," Working Papers 44, German Research Foundation's Priority Programme 1859 "Experience and Expectation. Historical Foundations of Economic Behaviour", Humboldt University Berlin.
  3. Heinisch, Katja & Behrens, Christoph & Döpke, Jörg & Foltas, Alexander & Fritsche, Ulrich & Köhler, Tim & Müller, Karsten & Puckelwald, Johannes & Reichmayr, Hannes, 2023. "The IWH Forecasting Dashboard: From forecasts to evaluation and comparison," IWH Technical Reports 1/2023, Halle Institute for Economic Research (IWH).
  4. Foltas, Alexander & Pierdzioch, Christian, 2020. "Business-cycle reports and the efficiency of macroeconomic forecasts for Germany," Working Papers 22, German Research Foundation's Priority Programme 1859 "Experience and Expectation. Historical Foundations of Economic Behaviour", Humboldt University Berlin.
  5. Foltas, Alexander, 2020. "Testing investment forecast efficiency with textual data," Working Papers 19, German Research Foundation's Priority Programme 1859 "Experience and Expectation. Historical Foundations of Economic Behaviour", Humboldt University Berlin.
  6. Foltas, Alexander & Pierdzioch, Christian, 2020. "On the efficiency of German growth forecasts: An empirical analysis using quantile random forests," Working Papers 21, German Research Foundation's Priority Programme 1859 "Experience and Expectation. Historical Foundations of Economic Behaviour", Humboldt University Berlin.

Articles

  1. Heinisch Katja & Behrens Christoph & Döpke Jörg & Foltas Alexander & Fritsche Ulrich & Köhler Tim & Müller Karsten & Puckelwald Johannes & Reichmayr Hannes, 2024. "The IWH Forecasting Dashboard: From Forecasts to Evaluation and Comparison," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 244(3), pages 277-288, June.
  2. Alexander Foltas & Christian Pierdzioch, 2022. "On the efficiency of German growth forecasts: an empirical analysis using quantile random forests and density forecasts," Applied Economics Letters, Taylor & Francis Journals, vol. 29(17), pages 1644-1653, October.
  3. Alexander Foltas & Christian Pierdzioch, 2022. "Business-cycle reports and the efficiency of macroeconomic forecasts for Germany," Applied Economics Letters, Taylor & Francis Journals, vol. 29(10), pages 867-872, June.
  4. Foltas Alexander, 2022. "Testing Investment Forecast Efficiency with Forecasting Narratives," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 242(2), pages 191-222, April.

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. Heinisch, Katja & Behrens, Christoph & Döpke, Jörg & Foltas, Alexander & Fritsche, Ulrich & Köhler, Tim & Müller, Karsten & Puckelwald, Johannes & Reichmayr, Hannes, 2023. "The IWH Forecasting Dashboard: From forecasts to evaluation and comparison," IWH Technical Reports 1/2023, Halle Institute for Economic Research (IWH).

    Cited by:

    1. Foltas, Alexander, 2023. "Quantifying priorities in business cycle reports: Analysis of recurring textual patterns around peaks and troughs," Working Papers 44, German Research Foundation's Priority Programme 1859 "Experience and Expectation. Historical Foundations of Economic Behaviour", Humboldt University Berlin.
    2. Foltas, Alexander, 2024. "Inefficient forecast narratives: A BERT-based approach," Working Papers 45, German Research Foundation's Priority Programme 1859 "Experience and Expectation. Historical Foundations of Economic Behaviour", Humboldt University Berlin.

  2. Foltas, Alexander & Pierdzioch, Christian, 2020. "Business-cycle reports and the efficiency of macroeconomic forecasts for Germany," Working Papers 22, German Research Foundation's Priority Programme 1859 "Experience and Expectation. Historical Foundations of Economic Behaviour", Humboldt University Berlin.

    Cited by:

    1. Pierdzioch, Christian, 2023. "A bootstrap-based efficiency test of growth and inflation forecasts for Germany," Economics Letters, Elsevier, vol. 224(C).
    2. Foltas, Alexander, 2023. "Quantifying priorities in business cycle reports: Analysis of recurring textual patterns around peaks and troughs," Working Papers 44, German Research Foundation's Priority Programme 1859 "Experience and Expectation. Historical Foundations of Economic Behaviour", Humboldt University Berlin.
    3. Foltas, Alexander, 2024. "Inefficient forecast narratives: A BERT-based approach," Working Papers 45, German Research Foundation's Priority Programme 1859 "Experience and Expectation. Historical Foundations of Economic Behaviour", Humboldt University Berlin.

  3. Foltas, Alexander, 2020. "Testing investment forecast efficiency with textual data," Working Papers 19, German Research Foundation's Priority Programme 1859 "Experience and Expectation. Historical Foundations of Economic Behaviour", Humboldt University Berlin.

    Cited by:

    1. Foltas, Alexander & Pierdzioch, Christian, 2020. "On the efficiency of German growth forecasts: An empirical analysis using quantile random forests," Working Papers 21, German Research Foundation's Priority Programme 1859 "Experience and Expectation. Historical Foundations of Economic Behaviour", Humboldt University Berlin.
    2. Alexander Foltas & Christian Pierdzioch, 2022. "Business-cycle reports and the efficiency of macroeconomic forecasts for Germany," Applied Economics Letters, Taylor & Francis Journals, vol. 29(10), pages 867-872, June.

Articles

  1. Heinisch Katja & Behrens Christoph & Döpke Jörg & Foltas Alexander & Fritsche Ulrich & Köhler Tim & Müller Karsten & Puckelwald Johannes & Reichmayr Hannes, 2024. "The IWH Forecasting Dashboard: From Forecasts to Evaluation and Comparison," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 244(3), pages 277-288, June.
    See citations under working paper version above.
  2. Alexander Foltas & Christian Pierdzioch, 2022. "On the efficiency of German growth forecasts: an empirical analysis using quantile random forests and density forecasts," Applied Economics Letters, Taylor & Francis Journals, vol. 29(17), pages 1644-1653, October.

    Cited by:

    1. Heinisch, Katja & Behrens, Christoph & Döpke, Jörg & Foltas, Alexander & Fritsche, Ulrich & Köhler, Tim & Müller, Karsten & Puckelwald, Johannes & Reichmayr, Hannes, 2023. "The IWH Forecasting Dashboard: From forecasts to evaluation and comparison," IWH Technical Reports 1/2023, Halle Institute for Economic Research (IWH).
    2. Pierdzioch, Christian, 2023. "A bootstrap-based efficiency test of growth and inflation forecasts for Germany," Economics Letters, Elsevier, vol. 224(C).
    3. Christian Pierdzioch, 2023. "A bootstrap test of the time-varying efficiency of German growth forecasts," Economics Bulletin, AccessEcon, vol. 43(1), pages 679-687.

  3. Alexander Foltas & Christian Pierdzioch, 2022. "Business-cycle reports and the efficiency of macroeconomic forecasts for Germany," Applied Economics Letters, Taylor & Francis Journals, vol. 29(10), pages 867-872, June.
    See citations under working paper version above.

More information

Research fields, statistics, top rankings, if available.

Statistics

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NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 5 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 (4) 2020-09-21 2020-10-19 2020-11-02 2023-08-21. Author is listed
  2. NEP-BIG: Big Data (3) 2020-09-21 2023-08-21 2024-08-26. Author is listed
  3. NEP-CMP: Computational Economics (3) 2020-09-21 2020-10-19 2024-08-26. Author is listed
  4. NEP-FOR: Forecasting (2) 2020-10-19 2020-11-02. Author is listed
  5. NEP-HIS: Business, Economic and Financial History (1) 2023-08-21

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