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Hans-Jorg Henri von Mettenheim
(Hans-Jörg Henri von Mettenheim)

Personal Details

First Name:Hans-Jorg
Middle Name:Henri
Last Name:von Mettenheim
Suffix:
RePEc Short-ID:pvo268
[This author has chosen not to make the email address public]

Affiliation

Institut de Préparation à l'Administration et à la Gestion (IPAG)

Paris, France
http://www.ipag.edu/

: 33 1 53 63 36 00

184 Boulevard Saint-Germain, 75006 Paris
RePEc:edi:ipagpfr (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Korbinian Dress & Stefan Lessmann & Hans-Jorg von Mettenheim, 2017. "Residual Value Forecasting Using Asymmetric Cost Functions," Papers 1707.02736, arXiv.org.
  2. Matthias Paul & Hans-Jörg von Mettenheim & Prof. Dr. Michael H. Breitner, 2008. "Akzeptanz von Sicherheitsmaßnahmen: Modellierung, Numerische Simulation und Optimierung," IWI Discussion Paper Series 28, Institut für Wirtschaftsinformatik, Universität Hannover.

Articles

  1. Christoph Wegener & Tobias Basse & Frederik Kunze & Hans-Jörg von Mettenheim, 2016. "Oil prices and sovereign credit risk of oil producing countries: an empirical investigation," Quantitative Finance, Taylor & Francis Journals, vol. 16(12), pages 1961-1968, December.
  2. Christoph Wegener & Christian Spreckelsen & Tobias Basse & Hans‐Jörg Mettenheim, 2016. "Forecasting Government Bond Yields with Neural Networks Considering Cointegration," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 35(1), pages 86-92, January.
  3. Christian Von Spreckelsen & Frederik Kunze & Torsten Windels & Hans-Jörg Von Mettenheim, 2014. "Forecasting renminbi quotes in the revised Chinese FX market - can we get implications for the onshore/offshore spread-behaviour?," International Journal of Economic Policy in Emerging Economies, Inderscience Enterprises Ltd, vol. 7(1), pages 66-76.
  4. Cornelius Köpp & Hans-Jörg Mettenheim & Michael Breitner, 2014. "Decision Analytics with Heatmap Visualization for Multi-step Ensemble Data," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 6(3), pages 131-140, June.
  5. Michael H. Breitner & Christian Dunis & Hans-Jörg Mettenheim & Christopher Neely & Georgios Sermpinis & Christian Spreckelsen & Hans‐Jörg Mettenheim & Michael H. Breitner, 2014. "Real‐Time Pricing and Hedging of Options on Currency Futures with Artificial Neural Networks," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 33(6), pages 419-432, September.
  6. Cornelius Köpp & Hans-Jörg Mettenheim & Michael Breitner, 2013. "Load Management in Power Grids," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 5(1), pages 35-44, February.
  7. Hans-Jörg Von Mettenheim & Michael H. Breitner, 2005. "Coarse-Grained Parallelization Of The Advanced Neurosimulator Faun 1.0 With Pvm And The Enhanced Cornered Rat Game Revisited," International Game Theory Review (IGTR), World Scientific Publishing Co. Pte. Ltd., vol. 7(03), pages 347-365.

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

    Sorry, no citations of working papers recorded.

Articles

  1. Christoph Wegener & Tobias Basse & Frederik Kunze & Hans-Jörg von Mettenheim, 2016. "Oil prices and sovereign credit risk of oil producing countries: an empirical investigation," Quantitative Finance, Taylor & Francis Journals, vol. 16(12), pages 1961-1968, December.

    Cited by:

    1. Alqahtani, Abdullah & Klein, Tony & Khalid, Ali, 2019. "The impact of oil price uncertainty on GCC stock markets," Resources Policy, Elsevier, vol. 64(C).
    2. Sabkha, Saker & de Peretti, Christian & Hmaied, Dorra, 2019. "Nonlinearities in the oil effects on the sovereign credit risk: A self-exciting threshold autoregression approach," Research in International Business and Finance, Elsevier, vol. 50(C), pages 106-133.

  2. Christoph Wegener & Christian Spreckelsen & Tobias Basse & Hans‐Jörg Mettenheim, 2016. "Forecasting Government Bond Yields with Neural Networks Considering Cointegration," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 35(1), pages 86-92, January.

    Cited by:

    1. Kunze, Frederik & Wegener, Christoph & Bizer, Kilian & Spiwoks, Markus, 2017. "Forecasting European interest rates in times of financial crisis – What insights do we get from international survey forecasts?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 48(C), pages 192-205.

  3. Christian Von Spreckelsen & Frederik Kunze & Torsten Windels & Hans-Jörg Von Mettenheim, 2014. "Forecasting renminbi quotes in the revised Chinese FX market - can we get implications for the onshore/offshore spread-behaviour?," International Journal of Economic Policy in Emerging Economies, Inderscience Enterprises Ltd, vol. 7(1), pages 66-76.

    Cited by:

    1. Kunze, Frederik, 2017. "Predicting exchange rates in Asia: New insights on the accuracy of survey forecasts," Center for European, Governance and Economic Development Research Discussion Papers 326, University of Goettingen, Department of Economics.

  4. Cornelius Köpp & Hans-Jörg Mettenheim & Michael Breitner, 2014. "Decision Analytics with Heatmap Visualization for Multi-step Ensemble Data," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 6(3), pages 131-140, June.

    Cited by:

    1. Christoph Gleue & Dennis Eilers & Hans-Jörg Mettenheim & Michael H. Breitner, 2019. "Decision Support for the Automotive Industry," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 61(4), pages 385-397, August.

  5. Michael H. Breitner & Christian Dunis & Hans-Jörg Mettenheim & Christopher Neely & Georgios Sermpinis & Christian Spreckelsen & Hans‐Jörg Mettenheim & Michael H. Breitner, 2014. "Real‐Time Pricing and Hedging of Options on Currency Futures with Artificial Neural Networks," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 33(6), pages 419-432, September.

    Cited by:

    1. Christoph Gleue & Dennis Eilers & Hans-Jörg Mettenheim & Michael H. Breitner, 2019. "Decision Support for the Automotive Industry," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 61(4), pages 385-397, August.
    2. Oscar Claveria & Enric Monte & Salvador Torra, 2017. "“Regional tourism demand forecasting with machine learning models: Gaussian process regression vs. neural network models in a multiple-input multiple-output setting”," AQR Working Papers 201701, University of Barcelona, Regional Quantitative Analysis Group, revised Jan 2017.
    3. Huck, Nicolas, 2019. "Large data sets and machine learning: Applications to statistical arbitrage," European Journal of Operational Research, Elsevier, vol. 278(1), pages 330-342.
    4. Adriano Soares Koshiyama & Nick Firoozye & Philip Treleaven, 2018. "A Machine Learning-based Recommendation System for Swaptions Strategies," Papers 1810.02125, arXiv.org.

  6. Cornelius Köpp & Hans-Jörg Mettenheim & Michael Breitner, 2013. "Load Management in Power Grids," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 5(1), pages 35-44, February.

    Cited by:

    1. Arno E. Scheepens & Joost G. Vogtländer, 2018. "Insulation or Smart Temperature Control for Domestic Heating: A Combined Analysis of the Costs, the Eco-Costs, the Customer Perceived Value, and the Rebound Effect of Energy Saving," Sustainability, MDPI, Open Access Journal, vol. 10(9), pages 1-24, September.

More information

Research fields, statistics, top rankings, if available.

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 1 paper 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-CTA: Contract Theory & Applications (1) 2017-07-16
  2. NEP-FOR: Forecasting (1) 2017-07-16
  3. NEP-TRE: Transport Economics (1) 2017-07-16

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