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Thomas O. Zoerner

Personal Details

First Name:Thomas
Middle Name:O.
Last Name:Zoerner
Suffix:
RePEc Short-ID:pzo79
[This author has chosen not to make the email address public]

Affiliation

(99%) Department Volkswirtschaft
WU Wirtschaftsuniversität Wien

Wien, Austria
http://www.wu.ac.at/economics




RePEc:edi:dvwuwat (more details at EDIRC)

(1%) Bereich Volkswirtschaftslehre
Paris-Lodron Universität Salzburg

Salzburg, Austria
https://www.uni-salzburg.at/index.php?id=31318

+43 662 8044-3770
+43 662 8044-3770
Residenzplatz 9, 5010 Salzburg
RePEc:edi:iwsbgat (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Böck, Maximilian & Zörner, Thomas O., 2019. "The Impact of Credit Market Sentiment Shocks - A TVAR Approach," Department of Economics Working Paper Series 288, WU Vienna University of Economics and Business.
  2. Zens, Gregor & Böck, Maximilian & Zörner, Thomas O., 2019. "Of clerks & cleaners: the heterogeneous impact of monetary policy on the US labor market," Department of Economics Working Paper Series 297, WU Vienna University of Economics and Business.
  3. Christian Hotz-Behofsits & Florian Huber & Thomas O. Zorner, 2018. "Predicting crypto-currencies using sparse non-Gaussian state space models," Papers 1801.06373, arXiv.org, revised Feb 2018.
  4. Niko Hauzenberger & Florian Huber & Michael Pfarrhofer & Thomas O. Zorner, 2018. "Stochastic model specification in Markov switching vector error correction models," Papers 1807.00529, arXiv.org, revised Sep 2019.
  5. Huber, Florian & Zörner, Thomas, 2017. "Threshold cointegration and adaptive shrinkage," Department of Economics Working Paper Series 250, WU Vienna University of Economics and Business.
  6. Ingrid Kubin & Thomas O. Zörner, 2017. "Human Capital in a Credit Cycle Model," Department of Economics Working Papers wuwp251, Vienna University of Economics and Business, Department of Economics.

Articles

  1. Kubin, Ingrid & Zörner, Thomas O. & Gardini, Laura & Commendatore, Pasquale, 2019. "A credit cycle model with market sentiments," Structural Change and Economic Dynamics, Elsevier, vol. 50(C), pages 159-174.
  2. Huber, Florian & Zörner, Thomas O., 2019. "Threshold cointegration in international exchange rates:A Bayesian approach," International Journal of Forecasting, Elsevier, vol. 35(2), pages 458-473.
  3. Christian Hotz‐Behofsits & Florian Huber & Thomas Otto Zörner, 2018. "Predicting crypto‐currencies using sparse non‐Gaussian state space models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 37(6), pages 627-640, 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. Böck, Maximilian & Zörner, Thomas O., 2019. "The Impact of Credit Market Sentiment Shocks - A TVAR Approach," Department of Economics Working Paper Series 288, WU Vienna University of Economics and Business.

    Cited by:

    1. Alessia Cafferata & Marwil J. Dávila-Fernández & Serena Sordi, 2020. "(Ir)rational explorers in the financial jungle: modelling Minsky with heterogeneous agents," Department of Economics University of Siena 819, Department of Economics, University of Siena.

  2. Christian Hotz-Behofsits & Florian Huber & Thomas O. Zorner, 2018. "Predicting crypto-currencies using sparse non-Gaussian state space models," Papers 1801.06373, arXiv.org, revised Feb 2018.

    Cited by:

    1. Kubin, Ingrid & Zörner, Thomas O. & Gardini, Laura & Commendatore, Pasquale, 2019. "A credit cycle model with market sentiments," Structural Change and Economic Dynamics, Elsevier, vol. 50(C), pages 159-174.
    2. Camilla Muglia & Luca Santabarbara & Stefano Grassi, 2019. "Is Bitcoin a Relevant Predictor of Standard & Poor’s 500?," Journal of Risk and Financial Management, MDPI, Open Access Journal, vol. 12(2), pages 1-10, May.
    3. Thanasis Stengos & Theodore Panagiotidis & Orestis Vravosinos, 2020. "A principal component-guided sparse regression approach for the determination of bitcoin returns," Working Papers 2001, University of Guelph, Department of Economics and Finance.
    4. Rick Bohte & Luca Rossini, 2019. "Comparing the Forecasting of Cryptocurrencies by Bayesian Time-Varying Volatility Models," Journal of Risk and Financial Management, MDPI, Open Access Journal, vol. 12(3), pages 1-18, September.
    5. Gupta, Rangan & Huber, Florian & Piribauer, Philipp, 2020. "Predicting international equity returns: Evidence from time-varying parameter vector autoregressive models," International Review of Financial Analysis, Elsevier, vol. 68(C).
    6. Catania, Leopoldo & Grassi, Stefano & Ravazzolo, Francesco, 2019. "Forecasting cryptocurrencies under model and parameter instability," International Journal of Forecasting, Elsevier, vol. 35(2), pages 485-501.
    7. Constandina Koki & Stefanos Leonardos & Georgios Piliouras, 2020. "Exploring the Predictability of Cryptocurrencies via Bayesian Hidden Markov Models," Papers 2011.03741, arXiv.org.
    8. Leopoldo Catania & Stefano Grassi & Francesco Ravazzolo, 2018. "Forecasting Cryptocurrencies Financial Time Series," Working Papers No 5/2018, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    9. Anoop S Kumar & Taufeeq Ajaz, 2019. "Co-movement in crypto-currency markets: evidences from wavelet analysis," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 5(1), pages 1-17, December.
    10. Constandina Koki & Stefanos Leonardos & Georgios Piliouras, 2019. "A Peek into the Unobservable: Hidden States and Bayesian Inference for the Bitcoin and Ether Price Series," Papers 1909.10957, arXiv.org.

  3. Huber, Florian & Zörner, Thomas, 2017. "Threshold cointegration and adaptive shrinkage," Department of Economics Working Paper Series 250, WU Vienna University of Economics and Business.

    Cited by:

    1. Huber, Florian & Pfarrhofer, Michael & Zörner, Thomas O., 2018. "Stochastic model specification in Markov switching vector error correction models," Working Papers in Economics 2018-3, University of Salzburg.

Articles

  1. Huber, Florian & Zörner, Thomas O., 2019. "Threshold cointegration in international exchange rates:A Bayesian approach," International Journal of Forecasting, Elsevier, vol. 35(2), pages 458-473.

    Cited by:

    1. Hauzenberger, Niko & Huber, Florian, 2018. "Model instability in predictive exchange rate regressions," Department of Economics Working Paper Series 276, WU Vienna University of Economics and Business.
    2. Kubin, Ingrid & Zörner, Thomas O. & Gardini, Laura & Commendatore, Pasquale, 2019. "A credit cycle model with market sentiments," Structural Change and Economic Dynamics, Elsevier, vol. 50(C), pages 159-174.
    3. Niko Hauzenberger & Michael Pfarrhofer & Luca Rossini, 2020. "Sparse time-varying parameter VECMs with an application to modeling electricity prices," Papers 2011.04577, arXiv.org.

  2. Christian Hotz‐Behofsits & Florian Huber & Thomas Otto Zörner, 2018. "Predicting crypto‐currencies using sparse non‐Gaussian state space models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 37(6), pages 627-640, September.
    See citations under working paper version above.

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 9 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 (5) 2017-08-20 2018-11-19 2019-08-19 2019-08-19 2019-12-02. Author is listed
  2. NEP-ECM: Econometrics (3) 2017-06-18 2018-02-05 2018-07-09. Author is listed
  3. NEP-ETS: Econometric Time Series (3) 2017-06-18 2018-02-05 2018-07-09. Author is listed
  4. NEP-ORE: Operations Research (3) 2017-06-18 2018-07-09 2018-11-19. Author is listed
  5. NEP-FDG: Financial Development & Growth (2) 2017-08-20 2019-08-19
  6. NEP-CMP: Computational Economics (1) 2017-08-20
  7. NEP-FOR: Forecasting (1) 2018-02-05
  8. NEP-KNM: Knowledge Management & Knowledge Economy (1) 2018-07-09
  9. NEP-LMA: Labor Markets - Supply, Demand, & Wages (1) 2017-08-20
  10. NEP-MON: Monetary Economics (1) 2019-12-02

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