Prof. Dr. Peter Schwendner
Prof. Dr. Peter Schwendner
ZHAW
School of Management and Law
Institute of Wealth & Asset Management
Gertrudstrasse 8
8400 Winterthur
Work at ZHAW
Position
Focus
Teaching
Experience
- Partner, COO
Fortinbras Asset Management GmbH
05 / 2009 - 02 / 2013 - Managing Director, Head of Quant Research
Sal. Oppenheim jr. & Cie.
06 / 1998 - 04 / 2009 - Doktorand
Max-Planck-Institute Göttingen
11 / 1995 - 05 / 1998
Education and Continuing education
Education
- Chartered Financial Analyst / Finance
CFA Institute
2000 - 2002 - Dr. rer. nat. / Physics
Georg-August-University of Göttingen
11 / 1995 - 05 / 1998
Continuing Education
CAS Foreign Affairs & Applied Diplomacy
ZHAW
2019
Network
Membership of networks
Social media
Projects
- Spatial sustainable finance: Satellite-based ratings of company footprints in biodiversity and water / Project leader / Project ongoing
- European Conference Series on Artificial Intelligence in Industry and Finance / Team member / Project ongoing
- BioVaR – Assessing and Digitizing Risk Exposure Resulting from Biodiversity Loss / Project co-leader / Project completed
- Development of Customizable ESG-compliant Financial Products for Swiss Asset Owners and Managers / Project co-leader / Project completed
- Employing Natural Language Processing to identify inconsistencies in companies’ non-financial communication / Team member / Project completed
- Tech4SDG – Guiding Swiss Asset Managers towards High-Impact SMEs / Team member / Project completed
- Environmental and Social Assessment at Mine Sites using Remote Sensing and Geoinformatics / Team member / Project completed
- COST Action – Fintech and Artificial Intelligence in Finance - Towards a transparent financial industry / Project leader / Project completed
- Evidence-based Sustainable Finance / Project leader / Project completed
- Funding Analytics Tools / Project leader / Project completed
- New Generation of ESG Indices / Project co-leader / Project completed
- Feeder Structure for the Swiss Social Exchange / Team member / Project completed
- Digitalisation non-bankable assets (specifically: art) / Team member / Project completed
- Systematic and Automated Investment Process for Selection of Investment Funds / Team member / Project completed
- Big Data Analytics Research / Project leader / Project completed
- Investment Process for Niche and Alternative Products / Project co-leader / Project completed
- SNIS - Effective Carbon Market Regulation / Team member / Project completed
- Currency hedging for SMEs and pension funds / Team member / Project completed
- 3rd European COST Conference on Mathematics for Industry in Switzerland / Team member / Project completed
- 2nd European COST Conference on Mathematics for Industry in Switzerland / Team member / Project completed
- Predicting investor behaviour in European bond markets through machine learning / Project leader / Project completed
- European government bond dynamics and stability policies: taming contagion risks / Project leader / Project completed
- 1st European COST Conference on Mathematics for Industry in Switzerland / Team member / Project completed
- Estimation of Cyber Risks / Team member / Project completed
- Multi-Asset Investment Process using Bayes Ensembles of Trading Models / Project leader / Project completed
Publications
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Hillebrand, Martin; Mravlak, Marko; Schwendner, Peter,
2023.
Investor demand in syndicated EFSF/ESM bond issuances.
Open Research Europe.
3(96).
Available from: https://doi.org/10.12688/openreseurope.15961.1
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De Meer Pardo, Fernando; Schwendner, Peter; Wunsch, Marcus,
2022.
The Journal of Financial Data Science.
4(4), pp. 110-132.
Available from: https://doi.org/10.3905/jfds.2022.1.109
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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).
Available from: https://doi.org/10.3389/frai.2021.668465
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Papenbrock, Jochen; Schwendner, Peter; Jaeger, Markus; Krügel, Stephan,
2021.
The Journal of Financial Data Science.
3(2), pp. 51-69.
Available from: https://doi.org/10.3905/jfds.2021.1.056
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Schwendner, Peter; Papenbrock, Jochen; Jaeger, Markus; Krügel, Stephan,
2021.
The Journal of Financial Data Science.
3(4), pp. 65-83.
Available from: https://doi.org/10.3905/jfds.2021.1.078
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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), pp. 31-51.
Available from: https://doi.org/10.3905/jfds.2021.1.066
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Schwendner, Peter,
2020.
Advances in financial machine learning.
Quantitative Finance.
20(2), pp. 189-190.
Available from: https://doi.org/10.1080/14697688.2019.1703030
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Schwendner, Peter; Schüle, Martin; Hillebrand, Martin,
2019.
Sentiment analysis of European bonds 2016 - 2018.
Frontiers in Artificial Intelligence.
2(20).
Available from: https://doi.org/10.3389/frai.2019.00020
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Packham, Natalie; Papenbrock, Jochen; Schwendner, Peter; Woebbeking, Fabian,
2016.
Tail-risk protection trading strategies.
Quantitative Finance.
17(5), pp. 729-744.
Available from: https://doi.org/10.1080/14697688.2016.1249512
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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), pp. 1-25.
Available from: https://doi.org/10.21314/JNTF.2015.012
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Papenbrock, Jochen; Schwendner, Peter,
2015.
Handling risk-on/risk-off dynamics with correlation regimes and correlation networks.
Financial Markets and Portfolio Management.
29(2), pp. 125-147.
Available from: https://doi.org/10.1007/s11408-015-0248-2
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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.
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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.
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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.
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Kimmerle, Hendrik; Schwendner, Peter; Döbeli, Sabine,
2023.
Zurich:
Swiss Sustainable Finance.
Available from: https://www.sustainablefinance.ch/upload/rm/ss/fs/ssf-spotlight-derivatives-final-1.pdf
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Henrici, Andreas; Füchslin, Rudolf M.; Schwendner, Peter,
2023.
Frontiers in Artificial Intelligence.
6(1267377).
Available from: https://doi.org/10.3389/frai.2023.1267377
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Henrici, Andreas; Schwendner, Peter; Deflorin, Patricia; Wilhelm, Dirk; Füchslin, Rudolf Marcel, eds.,
2023.
7th European COST Conference on Artificial Intelligence in Industry and Finance, Winterthur, Switzerland, 28 September 2022.
Frontiers Research Foundation.
.
Available from: https://www.frontiersin.org/research-topics/38909/
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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.
Available from: https://www.bis.org/ifc/publ/ifcb56_23.pdf
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Deflorin, Patricia; Füchslin, Rudolf Marcel; Henrici, Andreas; Osterrieder, Joerg; Schwendner, Peter; Wilhelm, Dirk, eds.,
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.
.
Available from: https://www.frontiersin.org/research-topics/18514/
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Jaeger, Markus; Krügel, Stephan; Papenbrock, Jochen; Schwendner, Peter,
2021.
SSRN.
Available from: 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.
Available from: https://doi.org/10.2852/793259
-
Posth, Jan-Alexander; Hadji Misheva, Branka; Kotlarz, Piotr Kamil; Osterrieder, Jörg; Schwendner, Peter,
2020.
SSRN.
Available from: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3737714
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Papenbrock, Jochen; Schwendner, Peter; Jaeger, Markus; Krügel, Stephan,
2020.
SSRN.
Available from: https://doi.org/10.2139/ssrn.3663220
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Jaeger, Markus; Krügel, Stephan; Marinelli, Dimitri; Papenbrock, Jochen; Schwendner, Peter,
2020.
Understanding machine learning for diversified portfolio construction by explainable AI.
SSRN.
Available from: https://doi.org/10.2139/ssrn.3528616
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Giudici, Paolo; Hochreiter, Ronald; Osterrieder, Jörg; Papenbrock, Jochen; Schwendner, Peter,
2019.
Editorial : AI and financial technology.
Frontiers in Artificial Intelligence.
2(25).
Available from: https://doi.org/10.3389/frai.2019.00025
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Anhorn, Regina; Schwendner, Peter,
2018.
Das Hedge-Fund-Jahr hat die hohen Erwartungen erfüllt.
Neue Zürcher Zeitung.
pp. 34.
-
Schwendner, Peter,
2017.
The impact of the European Union’s funding programs on bond yields.
The Charter.
17, pp. 16-17.
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Papenbrock, Jochen; Schwendner, Peter,
2017.
Maschinelle Intelligenz für Asset-Allokation und Portfoliokonstruktion.
Portfolio Institutionell.
2017(2), pp. 16-18.
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Schwendner, Peter; Meier, Peter,
2016.
Multi-Asset-Portfolios konvergieren zu Hedge Funds.
Schweizer Personalvorsorge.
2016(11), pp. 2-3.
-
Schwendner, Peter,
2016.
The Charter.
2016(13), pp. 13-16.
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Packham, Natalie; Papenbrock, Jochen; Schwendner, Peter; Woebbeking, Fabian,
2015.
Tail-risk protection trading strategies.
Social Science Research Network.
Available from: https://doi.org/10.2139/ssrn.2702275
-
Höllerich, Johannes; Schwendner, Peter,
2015.
Social Trading als Renditekick : Follower kopieren Trader.
Finanz und Wirtschaft.
pp. 23.
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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.
Available from: https://www.jbs.cam.ac.uk/fileadmin/user_upload/research/centres/risk/downloads/crs-eurozone-meltdown-financial-catastrophe.pdf
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Papenbrock, Jochen; Schwendner, Peter,
2014.
Portfolio Institutionell.
2014(1), pp. 16-19.
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Papenbrock, Jochen; Schwendner, Peter,
2013.
Dynamische Korrelationen : Wegweiser für Managed Futures.
Portfolio Institutionell.
2013(6), pp. 12-15.
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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.
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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.
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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.
Available from: https://www.zhaw.ch/storage/engineering/institute-zentren/iamp/sp_acss/Schwendner_Interpretable_ML_20210909.pdf
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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.
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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.
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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.
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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.
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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.
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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.
Available from: https://www.zhaw.ch/storage/engineering/institute-zentren/iamp/sp_acss/Schwendner_20180906.pdf
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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.
Available from: https://www.ini.uzh.ch/~lorimert/NDES2017/assets/NDES2017_programme_booklet.pdf
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Schwendner, Peter,
2017.
In:
26th Risk Management Innovation Platform, Frankfurt a. M., 23 November 2017.
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Schwendner, Peter; Schüle, Martin; Hillebrand, Martin,
2017.
Network analytics of sovereign bond dynamics.
In:
Frankfurt Summit on Network Analysis, Frankfurt, Germany, 26 October 2017.
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Schwendner, Peter; Schüle, Martin; Hillebrand, Martin,
2017.
Sovereign bond network dynamics.
In:
Mathfinance Conference, Frankfurt, Germany, 20-21 April 2017.
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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.
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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.
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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.
Available from: https://www.jbs.cam.ac.uk/fileadmin/user_upload/research/centres/risk/downloads/150909_slides_schwendner.pdf
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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.
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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).
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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).
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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.