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Michael Schuerle

Personal Details

First Name:Michael
Middle Name:
Last Name:Schuerle
Suffix:
RePEc Short-ID:psc573
[This author has chosen not to make the email address public]

Affiliation

Institut für Operations Research und Computational Finance (IORCF)
School of Finance
Universität St. Gallen

Sankt Gallen, Switzerland
http://www.iorcf.unisg.ch/
RePEc:edi:iorsgch (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Stein-Erik, Fleten & Paraschiv, Florentina & Schürle, Michel, 2013. "Spot-forward Model for Electricity Prices," Working Papers on Finance 1311, University of St. Gallen, School of Finance.

Articles

  1. Karl Frauendorfer & Florentina Paraschiv & Michael Schürle, 2018. "Cross-Border Effects on Swiss Electricity Prices in the Light of the Energy Transition," Energies, MDPI, vol. 11(9), pages 1-30, August.
  2. Paraschiv, Florentina & Fleten, Stein-Erik & Schürle, Michael, 2015. "A spot-forward model for electricity prices with regime shifts," Energy Economics, Elsevier, vol. 47(C), pages 142-153.
  3. Frauendorfer, Karl & Schurle, Michael, 2003. "Management of non-maturing deposits by multistage stochastic programming," European Journal of Operational Research, Elsevier, vol. 151(3), pages 602-616, December.
  4. Karl Frauendorfer & Michael Schürle, 2000. "Term Structure Models in Multistage Stochastic Programming: Estimation and Approximation," Annals of Operations Research, Springer, vol. 100(1), pages 189-209, December.

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. Stein-Erik, Fleten & Paraschiv, Florentina & Schürle, Michel, 2013. "Spot-forward Model for Electricity Prices," Working Papers on Finance 1311, University of St. Gallen, School of Finance.

    Cited by:

    1. Kiesel, Rüdiger & Paraschiv, Florentina, 2017. "Econometric analysis of 15-minute intraday electricity prices," Energy Economics, Elsevier, vol. 64(C), pages 77-90.
    2. Erdogdu, Erkan, 2016. "Asymmetric volatility in European day-ahead power markets: A comparative microeconomic analysis," Energy Economics, Elsevier, vol. 56(C), pages 398-409.
    3. Florian Ziel, 2015. "Forecasting Electricity Spot Prices using Lasso: On Capturing the Autoregressive Intraday Structure," Papers 1509.01966, arXiv.org, revised Jan 2016.

Articles

  1. Karl Frauendorfer & Florentina Paraschiv & Michael Schürle, 2018. "Cross-Border Effects on Swiss Electricity Prices in the Light of the Energy Transition," Energies, MDPI, vol. 11(9), pages 1-30, August.

    Cited by:

    1. Maciejowska, Katarzyna, 2020. "Assessing the impact of renewable energy sources on the electricity price level and variability – A quantile regression approach," Energy Economics, Elsevier, vol. 85(C).
    2. Keles, Dogan & Dehler-Holland, Joris & Densing, Martin & Panos, Evangelos & Hack, Felix, 2020. "Cross-border effects in interconnected electricity markets - an analysis of the Swiss electricity prices," Energy Economics, Elsevier, vol. 90(C).
    3. Li, Wei & Paraschiv, Florentina, 2022. "Modelling the evolution of wind and solar power infeed forecasts," Journal of Commodity Markets, Elsevier, vol. 25(C).
    4. Ozan Korkmaz & Bihrat Önöz, 2022. "Modelling the Potential Impacts of Nuclear Energy and Renewables in the Turkish Energy System," Energies, MDPI, vol. 15(4), pages 1-25, February.

  2. Paraschiv, Florentina & Fleten, Stein-Erik & Schürle, Michael, 2015. "A spot-forward model for electricity prices with regime shifts," Energy Economics, Elsevier, vol. 47(C), pages 142-153.

    Cited by:

    1. Hagfors, Lars Ivar & Kamperud , Hilde Horthe & Paraschiv, Florentina & Prokopczuk, Marcel & Sator, Alma & Westgaard, Sjur, 2016. "Prediction of Extreme Price Occurrences in the German Day-ahead Electricity Market," Working Papers on Finance 1622, University of St. Gallen, School of Finance.
    2. Algieri, Bernardina & Leccadito, Arturo & Tunaru, Diana, 2021. "Risk premia in electricity derivatives markets," Energy Economics, Elsevier, vol. 100(C).
    3. Deschatre, Thomas & Féron, Olivier & Gruet, Pierre, 2021. "A survey of electricity spot and futures price models for risk management applications," Energy Economics, Elsevier, vol. 102(C).
    4. Stein-Erik Fleten & Ronald Huisman & Mehtap Kilic & Enrico Pennings & Sjur Westgaard, 2014. "Electricity futures prices: time varying sensitivity to fundamentals," Working Papers 2014/21, Institut d'Economia de Barcelona (IEB).
    5. Berk, K. & Hoffmann, A. & Müller, A., 2018. "Probabilistic forecasting of industrial electricity load with regime switching behavior," International Journal of Forecasting, Elsevier, vol. 34(2), pages 147-162.
    6. Borovkova, Svetlana & Schmeck, Maren Diane, 2017. "Electricity price modeling with stochastic time change," Energy Economics, Elsevier, vol. 63(C), pages 51-65.
    7. Ioannidis, Filippos & Kosmidou, Kyriaki & Savva, Christos & Theodossiou, Panayiotis, 2021. "Electricity pricing using a periodic GARCH model with conditional skewness and kurtosis components," Energy Economics, Elsevier, vol. 95(C).
    8. Kiesel, Rüdiger & Paraschiv, Florentina, 2017. "Econometric analysis of 15-minute intraday electricity prices," Energy Economics, Elsevier, vol. 64(C), pages 77-90.
    9. Goodarzi, Shadi & Perera, H. Niles & Bunn, Derek, 2019. "The impact of renewable energy forecast errors on imbalance volumes and electricity spot prices," Energy Policy, Elsevier, vol. 134(C).
    10. Bartosz Uniejewski & Jakub Nowotarski & Rafał Weron, 2016. "Automated Variable Selection and Shrinkage for Day-Ahead Electricity Price Forecasting," Energies, MDPI, vol. 9(8), pages 1-22, August.
    11. Thomas Deschatre & Olivier F'eron & Pierre Gruet, 2021. "A survey of electricity spot and futures price models for risk management applications," Papers 2103.16918, arXiv.org, revised Jul 2021.
    12. Ida Bakke & Stein-Erik Fleten & Lars Ivar Hagfors & Verena Hagspiel & Beate Norheim & Sonja Wogrin, 2016. "Investment in electric energy storage under uncertainty: a real options approach," Computational Management Science, Springer, vol. 13(3), pages 483-500, July.
    13. Erdogdu, Erkan, 2016. "Asymmetric volatility in European day-ahead power markets: A comparative microeconomic analysis," Energy Economics, Elsevier, vol. 56(C), pages 398-409.
    14. Florian Ziel & Rafal Weron, 2016. "Day-ahead electricity price forecasting with high-dimensional structures: Univariate vs. multivariate models," HSC Research Reports HSC/16/08, Hugo Steinhaus Center, Wroclaw University of Science and Technology.
    15. Rick Steinert & Florian Ziel, 2018. "Short- to Mid-term Day-Ahead Electricity Price Forecasting Using Futures," Papers 1801.10583, arXiv.org.
    16. Kostrzewski, Maciej & Kostrzewska, Jadwiga, 2019. "Probabilistic electricity price forecasting with Bayesian stochastic volatility models," Energy Economics, Elsevier, vol. 80(C), pages 610-620.
    17. Benth, Fred Espen & Paraschiv, Florentina, 2016. "A Structural Model for Electricity Forward Prices," Working Papers on Finance 1611, University of St. Gallen, School of Finance.
    18. Hörnlein, Lena, 2019. "The value of gas-fired power plants in markets with high shares of renewable energy," Energy Economics, Elsevier, vol. 81(C), pages 1078-1098.
    19. Horky, Florian & Fidrmuc, Jarko, 2024. "Financial development and renewable energy adoption in EU and ASEAN countries," Energy Economics, Elsevier, vol. 131(C).
    20. Islyaev, Suren & Date, Paresh, 2015. "Electricity futures price models: Calibration and forecasting," European Journal of Operational Research, Elsevier, vol. 247(1), pages 144-154.
    21. Benth, Fred Espen & Paraschiv, Florentina, 2018. "A space-time random field model for electricity forward prices," Journal of Banking & Finance, Elsevier, vol. 95(C), pages 203-216.
    22. Pape, Christian & Hagemann, Simon & Weber, Christoph, 2016. "Are fundamentals enough? Explaining price variations in the German day-ahead and intraday power market," Energy Economics, Elsevier, vol. 54(C), pages 376-387.
    23. Carlo Mari & Emiliano Mari, 2021. "Gaussian clustering and jump-diffusion models of electricity prices: a deep learning analysis," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 44(2), pages 1039-1062, December.
    24. Monjazeb, Mohammad Reza & Amiri, Hossein & Movahedi, Akram, 2024. "Wholesale electricity price forecasting by Quantile Regression and Kalman Filter method," Energy, Elsevier, vol. 290(C).
    25. Andreis, Luisa & Flora, Maria & Fontini, Fulvio & Vargiolu, Tiziano, 2020. "Pricing reliability options under different electricity price regimes," Energy Economics, Elsevier, vol. 87(C).
    26. Caldana, Ruggero & Fusai, Gianluca & Roncoroni, Andrea, 2017. "Electricity forward curves with thin granularity: Theory and empirical evidence in the hourly EPEXspot market," European Journal of Operational Research, Elsevier, vol. 261(2), pages 715-734.
    27. Obermüller, Frank, 2017. "Explaining Electricity Forward Premiums - Evidence for the Weather Uncertainty Effect," EWI Working Papers 2017-10, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
    28. Rüdiger Kiesel & Florentina Paraschiv & Audun Sætherø, 2019. "On the construction of hourly price forward curves for electricity prices," Computational Management Science, Springer, vol. 16(1), pages 345-369, February.
    29. Marí, L. & Nabona, N. & Pagès-Bernaus, A., 2017. "Medium-term power planning in electricity markets with pool and bilateral contracts," European Journal of Operational Research, Elsevier, vol. 260(2), pages 432-443.
    30. Florian Ziel, 2015. "Forecasting Electricity Spot Prices using Lasso: On Capturing the Autoregressive Intraday Structure," Papers 1509.01966, arXiv.org, revised Jan 2016.
    31. Ziel, Florian & Weron, Rafał, 2018. "Day-ahead electricity price forecasting with high-dimensional structures: Univariate vs. multivariate modeling frameworks," Energy Economics, Elsevier, vol. 70(C), pages 396-420.
    32. Rodrigo A. de Marcos & Derek W. Bunn & Antonio Bello & Javier Reneses, 2020. "Short-Term Electricity Price Forecasting with Recurrent Regimes and Structural Breaks," Energies, MDPI, vol. 13(20), pages 1-14, October.

  3. Frauendorfer, Karl & Schurle, Michael, 2003. "Management of non-maturing deposits by multistage stochastic programming," European Journal of Operational Research, Elsevier, vol. 151(3), pages 602-616, December.

    Cited by:

    1. Thomas Krabichler & Josef Teichmann, 2020. "Deep Replication of a Runoff Portfolio," Papers 2009.05034, arXiv.org.
    2. Nyström, Kaj, 2008. "On deposit volumes and the valuation of non-maturing liabilities," Journal of Economic Dynamics and Control, Elsevier, vol. 32(3), pages 709-756, March.
    3. Alexandre Adam & Hamza Cherrat & Mohamed Houkari & Jean-Paul Laurent & Jean-Luc Prigent, 2020. "On the risk management of demand deposits: quadratic hedging of interest rate margins," Post-Print hal-03676446, HAL.
    4. Areski Cousin & Ying Jiao & Christian Yann Robert & Olivier David Zerbib, 2022. "Optimal Asset Allocation Subject to Withdrawal Risk and Solvency Constraints," Risks, MDPI, vol. 10(1), pages 1-28, January.
    5. Hamza Cherrat & Jean-Luc Prigent, 2023. "On the Hedging of Interest Rate Margins on Bank Demand Deposits," Computational Economics, Springer;Society for Computational Economics, vol. 62(3), pages 935-967, October.
    6. Hans Dewachter & Marco Lyrio & Konstantijn Maes, 2006. "A multi-factor model for the valuation and risk managment of demand deposits," Working Paper Research 83, National Bank of Belgium.
    7. Konstantijn Maes & Thierry Timmermans, 2005. "Measuring the interest rate risk of Belgian regulated savings deposits," Financial Stability Review, National Bank of Belgium, vol. 3(1), pages 137-151, June.

  4. Karl Frauendorfer & Michael Schürle, 2000. "Term Structure Models in Multistage Stochastic Programming: Estimation and Approximation," Annals of Operations Research, Springer, vol. 100(1), pages 189-209, December.

    Cited by:

    1. Vlasta Kaňková, 2007. "Multistage Stochastic Programming via Autoregressive Sequences [Autoregresní posloupnosti v úlohách vícestupňového stochastického programování]," Acta Oeconomica Pragensia, Prague University of Economics and Business, vol. 2007(4), pages 99-110.
    2. Frauendorfer, Karl & Schurle, Michael, 2003. "Management of non-maturing deposits by multistage stochastic programming," European Journal of Operational Research, Elsevier, vol. 151(3), pages 602-616, December.

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-ECM: Econometrics (1) 2013-10-05
  2. NEP-ENE: Energy Economics (1) 2013-10-05
  3. NEP-REG: Regulation (1) 2013-10-05

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