Prof. Dr. Peter Schwendner

Arbeit an der ZHAW

Tätigkeit

• Leiter Institut für Wealth & Asset Management
• Leiter Fachstelle für Asset Management

Arbeits- und Forschungsschwerpunkte

Spatial Finance

Lehrtätigkeit

• Quantitative Investment Strategies
• Investments

Lehrtätigkeit in der Weiterbildung

CAS Sustainable Investing

Berufserfahrung

• Partner, COO
  Fortinbras Asset Management GmbH
  05 / 2009 - 02 / 2013
• Managing Director, Head of Quant Research
  Sal. Oppenheim jr. & Cie.
  06 / 1998 - 04 / 2009
• PhD Student
  Max-Planck-Institut Göttingen
  11 / 1995 - 05 / 1998

Aus- und Weiterbildung

Ausbildung

• Chartered Financial Analyst / Finance
  CFA Institute
  2000 - 2002
• Dr. rer. nat. / Physik
  Georg-August-Universität Göttingen
  11 / 1995 - 05 / 1998

Weiterbildung

CAS Foreign Affairs & Applied Diplomacy
ZHAW
2019

Netzwerk

Mitglied in Netzwerken

• CFA Society Switzerland
• Swiss Society for Financial Market Research
• Swiss Sustainable Finance
• SNF
• Researchgate
• CLAIRE AI Research Network
• EU Horizon 2020 FIN-TECH
• European AI Alliance
• Cost Action 19130 - Fintech and Artificial Intelligence in Finance - Towards a transparent financial industry / Working Group 3 Lead

Social Media

LinkedIn

Projekte

• Spatial sustainable finance: Satellite-based ratings of company footprints in biodiversity and water / ProjektleiterIn / Projekt laufend
• Konferenzserie Artificial Intelligence in Industry and Finance / Teammitglied / Projekt laufend
• BioVaR – Assessing and Digitizing Risk Exposure Resulting from Biodiversity Loss / Co-ProjektleiterIn / Projekt abgeschlossen
• Development of Customizable ESG-compliant Financial Products for Swiss Asset Owners and Managers / Co-ProjektleiterIn / Projekt abgeschlossen
• Employing Natural Language Processing to identify inconsistencies in companies’ non-financial communication / Teammitglied / Projekt abgeschlossen
• Tech4SDG – Guiding Swiss Asset Managers towards High-Impact SMEs / Teammitglied / Projekt abgeschlossen
• Environmental and Social Assessment at Mine Sites using Remote Sensing and Geoinformatics / Teammitglied / Projekt abgeschlossen
• COST Action – Fintech and Artificial Intelligence in Finance - Towards a transparent financial industry / ProjektleiterIn / Projekt abgeschlossen
• Evidence-based Sustainable Finance / ProjektleiterIn / Projekt abgeschlossen
• Funding Analytics Tools / ProjektleiterIn / Projekt abgeschlossen
• New Generation of ESG Indices / Co-ProjektleiterIn / Projekt abgeschlossen
• Feeder Structure for the Swiss Social Exchange / Teammitglied / Projekt abgeschlossen
• Digitalisierung nicht bankfähiger Vermögenswerte (insbesondere Kunst) / Teammitglied / Projekt abgeschlossen
• Systematic and Automated Investment Process for Selection of Investment Funds / Teammitglied / Projekt abgeschlossen
• Big Data Analytics Research / ProjektleiterIn / Projekt abgeschlossen
• Investment Process for Niche and Alternative Products / Co-ProjektleiterIn / Projekt abgeschlossen
• SNIS - Effektive Regulierung von Emissionshandelssystemen / Teammitglied / Projekt abgeschlossen
• Währungsabsicherung für KMUs und Pensionskassen / Teammitglied / Projekt abgeschlossen
• 3rd European COST Conference on Mathematics for Industry in Switzerland / Teammitglied / Projekt abgeschlossen
• 2nd European COST Conference on Mathematics for Industry in Switzerland / Teammitglied / Projekt abgeschlossen
• Predicting investor behaviour in European bond markets through machine learning / ProjektleiterIn / Projekt abgeschlossen
• European government bond dynamics and stability policies: taming contagion risks / ProjektleiterIn / Projekt abgeschlossen
• 1st European COST Conference on Mathematics for Industry in Switzerland / Teammitglied / Projekt abgeschlossen
• Schätzung von Cyber Risiken / Teammitglied / Projekt abgeschlossen
• Multi-Asset Investment Process using Bayes Ensembles of Trading Models / ProjektleiterIn / Projekt abgeschlossen

Publikationen

• Hillebrand, Martin; Mravlak, Marko; Schwendner, Peter,

  2023.

  Investor demand in syndicated EFSF/ESM bond issuances.

  Open Research Europe.

  3(96).

  Verfügbar unter: https://doi.org/10.12688/openreseurope.15961.1

• De Meer Pardo, Fernando; Schwendner, Peter; Wunsch, Marcus,

  2022.

  Tackling the exponential scaling of signature-based generative adversarial networks for high-dimensional financial time-series generation.

  The Journal of Financial Data Science.

  4(4), S. 110-132.

  Verfügbar unter: https://doi.org/10.3905/jfds.2022.1.109

• Posth, Jan-Alexander; Kotlarz, Piotr Kamil; Hadji Misheva, Branka; Osterrieder, Jörg; Schwendner, Peter,

  2021.

  The applicability of self-play algorithms to trading and forecasting financial markets.

  Frontiers in Artificial Intelligence.

  4(668465).

  Verfügbar unter: https://doi.org/10.3389/frai.2021.668465

• Papenbrock, Jochen; Schwendner, Peter; Jaeger, Markus; Krügel, Stephan,

  2021.

  Matrix evolutions : synthetic correlations and explainable machine learning for constructing robust investment portfolios.

  The Journal of Financial Data Science.

  3(2), S. 51-69.

  Verfügbar unter: https://doi.org/10.3905/jfds.2021.1.056

• Schwendner, Peter; Papenbrock, Jochen; Jaeger, Markus; Krügel, Stephan,

  2021.

  Adaptive seriational risk parity and other extensions for heuristic portfolio construction using machine learning and graph theory.

  The Journal of Financial Data Science.

  3(4), S. 65-83.

  Verfügbar unter: https://doi.org/10.3905/jfds.2021.1.078

• Jaeger, Markus; Krügel, Stephan; Marinelli, Dimitri; Papenbrock, Jochen; Schwendner, Peter,

  2021.

  Interpretable machine learning for diversified portfolio construction.

  The Journal of Financial Data Science.

  3(3), S. 31-51.

  Verfügbar unter: https://doi.org/10.3905/jfds.2021.1.066

• Schwendner, Peter,

  2020.

  Advances in financial machine learning.

  Quantitative Finance.

  20(2), S. 189-190.

  Verfügbar unter: https://doi.org/10.1080/14697688.2019.1703030

• Schwendner, Peter; Schüle, Martin; Hillebrand, Martin,

  2019.

  Sentiment analysis of European bonds 2016 - 2018.

  Frontiers in Artificial Intelligence.

  2(20).

  Verfügbar unter: https://doi.org/10.3389/frai.2019.00020

• Packham, Natalie; Papenbrock, Jochen; Schwendner, Peter; Woebbeking, Fabian,

  2016.

  Tail-risk protection trading strategies.

  Quantitative Finance.

  17(5), S. 729-744.

  Verfügbar unter: https://doi.org/10.1080/14697688.2016.1249512

• Schwendner, Peter; Schüle, Martin; Ott, Thomas; Hillebrand, Martin,

  2015.

  European government bond dynamics and stability policies : taming contagion risks.

  Journal of Network Theory in Finance.

  1(4), S. 1-25.

  Verfügbar unter: https://doi.org/10.21314/JNTF.2015.012

• Papenbrock, Jochen; Schwendner, Peter,

  2015.

  Handling risk-on/risk-off dynamics with correlation regimes and correlation networks.

  Financial Markets and Portfolio Management.

  29(2), S. 125-147.

  Verfügbar unter: https://doi.org/10.1007/s11408-015-0248-2

• Schüle, Martin; Ott, Thomas; Schwendner, Peter,

  2016.

  Forecasting correlation structures [Paper].

  In:

  Proceedings of the 2016 international symposium on nonlinear theory and its applications.

  2016 International Symposium on Nonlinear Theory and Its Applications (NOLTA2016), Yugawara, Japan, 27-30 November 2016.

  IEICE.

• Schwendner, Peter,

  2015.

  European government bond dynamics and stability policies : taming contagion risks [Poster].

  In:

  6th ESOBE Conference «Complexity in Economics», Gerzensee, 29. Oktober 2015.

• Schwendner, Peter; Packham, Nathalie; Papenbrock, Jochen,

  2014.

  Tail-risk protection trading strategies [Poster].

  In:

  8th World Congress of the Bachelier Finance Society, Brussels, Belgium, 2-6 June 2014.

• Kimmerle, Hendrik; Schwendner, Peter; Döbeli, Sabine,

  2023.

  The role of derivatives in sustainable investing : a practical guide to addressing sustainability-related challenges linked to the use of derivatives in sustainable portfolios.

  Zurich:

  Swiss Sustainable Finance.

  Verfügbar unter: https://www.sustainablefinance.ch/upload/rm/ss/fs/ssf-spotlight-derivatives-final-1.pdf

• Henrici, Andreas; Füchslin, Rudolf M.; Schwendner, Peter,

  2023.

  Editorial: Artificial Intelligence in Finance and Industry: volume II—highlights from the 7th European conference.

  Frontiers in Artificial Intelligence.

  6(1267377).

  Verfügbar unter: https://doi.org/10.3389/frai.2023.1267377

• Henrici, Andreas; Schwendner, Peter; Deflorin, Patricia; Wilhelm, Dirk; Füchslin, Rudolf Marcel, Hrsg.,

  2023.

  Artificial Intelligence in Finance and Industry : Volume II - Highlights from the 7th European Conference.

  7th European COST Conference on Artificial Intelligence in Industry and Finance, Winterthur, Switzerland, 28 September 2022.

  Frontiers Research Foundation.

  .

  Verfügbar unter: https://www.frontiersin.org/research-topics/38909/

• Papenbrock, Jochen; Ashley, John; Schwendner, Peter,

  2022.

  Accelerated data science, AI and GeoAI for sustainable finance in central banking and supervision [Paper].

  In:

  International Conference on "Statistics for Sustainable Finance", Paris, France, 14-15 September 2021.

  Verfügbar unter: https://www.bis.org/ifc/publ/ifcb56_23.pdf

• Deflorin, Patricia; Füchslin, Rudolf Marcel; Henrici, Andreas; Osterrieder, Joerg; Schwendner, Peter; Wilhelm, Dirk, Hrsg.,

  2022.

  Artificial Intelligence in Finance and Industry : highlights from 6 European COST conferences.

  5th European COST Conference on Artificial Intelligence in Industry and Finance, Winterthur, Switzerland (online), 3 September 2020.

  Frontiers Research Foundation.

  .

  Verfügbar unter: https://www.frontiersin.org/research-topics/18514/

• Jaeger, Markus; Krügel, Stephan; Papenbrock, Jochen; Schwendner, Peter,

  2021.

  'Adaptive seriational risk parity' and other extensions for heuristic portfolio construction using machine learning and graph theory.

  SSRN.

  Verfügbar unter: https://doi.org/10.2139/ssrn.3806714

• Hillebrand, Martin; Mravlak, Marko; Schwendner, Peter,

  2021.

  Investor demand in syndicated bond issuances : stylised facts.

  Working Paper Series

  ; 50.

  European Stability Mechanism.

  ISBN 978-92-95223-11-0.

  Verfügbar unter: https://doi.org/10.2852/793259

• Posth, Jan-Alexander; Hadji Misheva, Branka; Kotlarz, Piotr Kamil; Osterrieder, Jörg; Schwendner, Peter,

  2020.

  The applicability of self-play algorithms to trading and forecasting financial markets : a feasibility study.

  SSRN.

  Verfügbar unter: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3737714

• Papenbrock, Jochen; Schwendner, Peter; Jaeger, Markus; Krügel, Stephan,

  2020.

  Matrix evolutions : synthetic correlations and explainable machine learning for constructing robust investment portfolios.

  SSRN.

  Verfügbar unter: https://doi.org/10.2139/ssrn.3663220

• Jaeger, Markus; Krügel, Stephan; Marinelli, Dimitri; Papenbrock, Jochen; Schwendner, Peter,

  2020.

  Understanding machine learning for diversified portfolio construction by explainable AI.

  SSRN.

  Verfügbar unter: https://doi.org/10.2139/ssrn.3528616

• Giudici, Paolo; Hochreiter, Ronald; Osterrieder, Jörg; Papenbrock, Jochen; Schwendner, Peter,

  2019.

  Editorial : AI and financial technology.

  Frontiers in Artificial Intelligence.

  2(25).

  Verfügbar unter: https://doi.org/10.3389/frai.2019.00025

• Anhorn, Regina; Schwendner, Peter,

  2018.

  Das Hedge-Fund-Jahr hat die hohen Erwartungen erfüllt.

  Neue Zürcher Zeitung.

  S. 34.

• Schwendner, Peter,

  2017.

  The impact of the European Union’s funding programs on bond yields.

  The Charter.

  17, S. 16-17.

• Papenbrock, Jochen; Schwendner, Peter,

  2017.

  Maschinelle Intelligenz für Asset-Allokation und Portfoliokonstruktion.

  Portfolio Institutionell.

  2017(2), S. 16-18.

• Schwendner, Peter; Meier, Peter,

  2016.

  Multi-Asset-Portfolios konvergieren zu Hedge Funds.

  Schweizer Personalvorsorge.

  2016(11), S. 2-3.

• Schwendner, Peter,

  2016.

  The universe, an odd place.

  The Charter.

  2016(13), S. 13-16.

• Packham, Natalie; Papenbrock, Jochen; Schwendner, Peter; Woebbeking, Fabian,

  2015.

  Tail-risk protection trading strategies.

  Social Science Research Network.

  Verfügbar unter: https://doi.org/10.2139/ssrn.2702275

• Höllerich, Johannes; Schwendner, Peter,

  2015.

  Social Trading als Renditekick : Follower kopieren Trader.

  Finanz und Wirtschaft.

  S. 23.

• Kelly, Scott; Chaplin, Andrew; Coburn, Andrew; Copic, Jennifer; Evan, Tamara; Neduv, Eugene; Ralph, Daniel; Ruffle, Simon; Schwendner, Peter; Skelton, Andrew; Yeo, Jaclyn Zhiyi,

  2015.

  Stress test scenario : eurozone meltdown.

  Cambridge:

  Cambridge Centre for Risk Studies.

  Verfügbar unter: https://www.jbs.cam.ac.uk/fileadmin/user_upload/research/centres/risk/downloads/crs-eurozone-meltdown-financial-catastrophe.pdf

• Papenbrock, Jochen; Schwendner, Peter,

  2014.

  Jetzt absichern! Aber wie?.

  Portfolio Institutionell.

  2014(1), S. 16-19.

• Papenbrock, Jochen; Schwendner, Peter,

  2013.

  Dynamische Korrelationen : Wegweiser für Managed Futures.

  Portfolio Institutionell.

  2013(6), S. 12-15.

• Schwendner, Peter,

  2023.

  Case studies of primary and secondary market dynamics.

  In:

  16th International Conference of the ERCIM WG on Computational and Methodological Statistics, 17th International Conference on Computational and Financial Econometrics, Berlin, Germany, 16-18 December 2023.

• Orpiszewski, Tomasz; Schwendner, Peter; Thompson, Mark James,

  2022.

  How do stocks react to negative ESG incidents?.

  In:

  SSF/ZHAW Novel Data Solutions: Big Data and AI for Sustainable Investing - from Biodiversity Risks to Sustainable Gold, Zurich, Switzerland, 2 November 2022.

• Jaeger, Markus; Krügel, Stephan; Marinelli, Dimitri; Papenbrock, Jochen; Schwendner, Peter,

  2021.

  Interpretable machine learning for diversified portfolio construction.

  In:

  6th European Conference on Artificial Intelligence in Industry and Finance, Winterthur, Switzerland, 9 September 2021.

  Verfügbar unter: https://www.zhaw.ch/storage/engineering/institute-zentren/iamp/sp_acss/Schwendner_Interpretable_ML_20210909.pdf

• Schwendner, Peter; Schuele, Martin; Hillebrand, Martin,

  2020.

  Convergence and divergence in European bond correlations.

  In:

  4th Regtech Workshop on AI in Finance, Vienna (Austria), 26 February 2020.

• Schwendner, Peter; Kotsch, Raphaela; Betz, Regina,

  2019.

  Risks in carbon markets : lessons-learned from the flexibility mechanism under the Kyoto Protocol.

  In:

  UN Climate Change Conference (COP25), Side Events, Madrid (Spain), December 2019.

• Hillebrand, Martin; Schwendner, Peter; Winant, Bastien; Mravlak, Marko,

  2019.

  Predicting investor behaviour in European bond markets : a machine-learning approach.

  In:

  4th European Conference on Artificial Intelligence in Finance and Industry, Winterthur, Switzerland, 5 September 2019.

• Betz, Regina; Schwendner, Peter; Kotsch, Raphaela,

  2019.

  Transfers of Kyoto units in the Swiss Emissions Trading Registry : a network analysis from 2007-2014.

  In:

  4th European Conference on Artificial Intelligence in Finance and Industry, Winterthur, Switzerland, 5 September 2019.

• Schwendner, Peter,

  2019.

  Convergence and divergence in European sovereign bonds.

  In:

  1st European Workshop on ML-Based Solutions in Finance, Winterthur, Schweiz, 4. September 2019.

• Schwendner, Peter; Schüle, Martin; Hillebrand, Martin,

  2019.

  Correlation influence networks for sentiment analysis in European sovereign bonds.

  In:

  Financial Revolution - Sentiment Analysis, AI and Machine Learning, London, United Kingdom, 25-26 June 2019.

• Schwendner, Peter,

  2019.

  Current European sovereign bond dynamics.

  In:

  Zurich Volatility Investing Event, Zurich, Switzerland, 24 October 2019.

• Schwendner, Peter; Papenbrock, Jochen,

  2019.

  Financial application of network analysis.

  In:

  Big Data Analytics Knowledge Exchange Platform M1 Fin – Tech HO2020 project, Copenhagen, Denmark, 26-27 August 2019.

• Schüle, Martin; Ott, Thomas; Schwendner, Peter,

  2018.

  Influence networks in financial markets : forecast scenarios.

  In:

  NDES 2018, 26th Nonlinear Dynamics of Electronic Systems Conference, Acireale, Italy, June, 11-13 2018.

• Schwendner, Peter; Schüle, Martin; Hillebrand, Martin,

  2018.

  Correlation influence networks for sentiment analysis in European sovereign bonds.

  In:

  Financial Revolution - Sentiment Analysis, AI and Machine Learning, Zürich, Switzerland, 30 October 2018.

• Schwendner, Peter; Schüle, Martin; Ott, Thomas; Hillebrand, Martin,

  2018.

  Sentiment in European sovereign bonds.

  In:

  3rd European COST Conference on Mathematics for Industry in Switzerland, Winterthur, 6 September 2018.

  Verfügbar unter: https://www.zhaw.ch/storage/engineering/institute-zentren/iamp/sp_acss/Schwendner_20180906.pdf

• Schüle, Martin; Ott, Thomas; Schwendner, Peter,

  2017.

  Forecasting correlation structures.

  In:

  NDES 2017, 25th Nonlinear Dynamics of Electronic Systems Conference, Zernez, 5-7 June 2017.

  Verfügbar unter: https://www.ini.uzh.ch/~lorimert/NDES2017/assets/NDES2017_programme_booklet.pdf

• Schwendner, Peter,

  2017.

  Data-driven risk analytics.

  In:

  26th Risk Management Innovation Platform, Frankfurt a. M., 23 November 2017.

• Schwendner, Peter; Schüle, Martin; Hillebrand, Martin,

  2017.

  Network analytics of sovereign bond dynamics.

  In:

  Frankfurt Summit on Network Analysis, Frankfurt, Germany, 26 October 2017.

• Schwendner, Peter; Schüle, Martin; Hillebrand, Martin,

  2017.

  Sovereign bond network dynamics.

  In:

  Mathfinance Conference, Frankfurt, Germany, 20-21 April 2017.

• Hillebrand, Martin; Ott, Thomas; Schüle, Martin; Schwendner, Peter,

  2016.

  European government bond dynamics and stability policies.

  In:

  ADEMU Workshop on Risk-Sharing Mechanisms for the European Union, Fiesole, Italy, 20-21 May 2016.

• Schüle, Martin; Schwendner, Peter,

  2016.

  European government bond dynamics and stability policies : taming contagion risks.

  In:

  9th Financial Risks International Forum, Paris, France, 21 March 2016.

• Schwendner, Peter,

  2015.

  Case study : global macro correlation dynamics in 2016.

  In:

  TradeTech FX 2015, London. United Kingdom, 15-17 September 2015.

• Schwendner, Peter; Schüle, Martin; Hillebrand, Martin,

  2015.

  European government bond dynamics and stability policies : taming contagion risks.

  In:

  Financial Risk and Network Theory, Cambridge, United Kingdom, 9 September 2015.

  Verfügbar unter: https://www.jbs.cam.ac.uk/fileadmin/user_upload/research/centres/risk/downloads/150909_slides_schwendner.pdf

• Schwendner, Peter; Papenbrock, Jochen; Eichenberger, Alexander,

  2014.

  Currency correlations in various timeframes and what this means for trading strategies.

  In:

  TradeTech FX 2014, London, United Kingdom, 16-18 September 2014.

• Schwendner, Peter; Papenbrock, Jochen,

  2014.

  Multi-asset correlation dynamics : impact for specific investment strategies and portfolio risk.

  In:

  TSAM Europe: Performance Measurement & Investment Risk, London, United Kingdom, 1 March 2014.

  The Summit for Asset Management (TSAM).

• Schwendner, Peter,

  2013.

  New methodological answers to the new normal in risk and investment management.

  In:

  PRMIA Chapter Event, Frankfurt, Germany, 4-5 November 2013.

  Professional Risk Managers' International Association (PRMIA).

• Schwendner, Peter; Papenbrock, Jochen,

  2013.

  Understanding the changing relationships in asset class correlation and the impact for trading FX.

  In:

  TradeTech FX 2013, London. United Kingdom, 17-18 September 2013.

Zurück