Completed dissertations

PhD Theses

2025 (0+), 2024 (1), 2023 (2), 2022 (1), 2018-2021 (0), 2017 (1), 2015-2016 (0), 2014 (1), 2013 (0), 2012 (1), 2011 (1)

  1. Weronika Nitka (2024) Decision support for electricity market participants: point and probabilistic forecasting using resampling methods and statistical learning [PDF 9.1 MB]. Faculty of Management, PWr, Poland 馃嚨馃嚤
    PhD defense: ??.??.2025, degree awarded: ??.??.2025
    Auxiliary supervisor: Katarzyna Maciejowska
    Reviewers: Florentina Paraschiv (Zeppelin University, Friedrichshafen, Germany 馃嚛馃嚜), Micha艂 Rubaszek (Warsaw School of Economics, Poland 馃嚨馃嚤), S艂awomir 艢miech (UE Krak贸w, Poland 馃嚨馃嚤)
    Prizes and awards: Best Youngster Presentation award (International Conference on Computational Finance - ICCF, Wuppertal, Germany 馃嚛馃嚜, 2022), DIAMOND GRANT (MNiSW, Poland 馃嚨馃嚤, 2020; see Grants for details)
    First job after PhD: ??
    See also: IDEAS/RePEc profile, Scopus profile

  2. Grzegorz Marcjasz (2023) Deep learning in point, probabilistic and ensemble forecasting of electricity prices [PDF 9.4 MB]. Faculty of Management, PWr, Poland 馃嚨馃嚤
    Slides: [PDF 3.6 MB] 馃嚨馃嚤
    PhD defense: 30.01.2024, degree awarded: 27.02.2024
    Reviewers: Grzegorz Dudek (Cz臋stochowa University of Technology, Poland 馃嚨馃嚤), Dogan Keles (Technical University of Denmark, Denmark 馃嚛馃嚢), Micha艂 Rubaszek (Warsaw School of Economics, Poland 馃嚨馃嚤)
    Prizes and awards: Outstanding paper in Energy Forecasting (International Institute of Forecasters, USA 馃嚭馃嚫, 2022), Jan Mozrzymas Scholarship of the Wroc艂aw Academic Center (WCA, Poland 馃嚨馃嚤, 2020), Ministry scholarship for outstanding young scientists (MNiSW, Poland 馃嚨馃嚤, 2020), DIAMOND GRANT (MNiSW, Poland 馃嚨馃嚤, 2019; see Grants for details), Best student paper (runner-up) at the XV Conference on Computational Management Science (Trondheim, Norway 馃嚦馃嚧, 2018)
    First job after PhD: Quant, Alpiq Energy SE, Poland 馃嚨馃嚤 / Switzerland 馃嚚馃嚟
    See also: IDEAS/RePEc profile, Scopus profile


  3. Bartosz Uniejewski (2023) Forecasting wholesale electricity prices to support decision-making in power companies: Use of regularization and forecast combinations [PDF 10.3 MB]. Faculty of Management, PWr, Poland 馃嚨馃嚤
    Slides: [PDF 4.2 MB] 馃嚨馃嚤
    PhD defense: 13.06.2023, degree awarded: 20.06.2023
    Auxiliary supervisor: Katarzyna Maciejowska
    Reviewers: Bogumi艂 Kami艅ski (Warsaw School of Economics, Poland 馃嚨馃嚤), S艂awomir 艢miech (UE Krak贸w, Poland 馃嚨馃嚤), James Taylor (Said Business School, University of Oxford, UK 馃嚞馃嚙)
    Prizes and awards: Best Student Presentation at the International Symposium on Forecasting (ISF, Oxford, UK 馃嚞馃嚙, 2022), Outstanding paper in Energy Forecasting (International Institute of Forecasters, USA 馃嚭馃嚫, 2022), Jan Mozrzymas Scholarship of the Wroc艂aw Academic Center (WCA, Poland 馃嚨馃嚤, 2021), Ministry scholarship for outstanding young scientists (MNiSW, Poland 馃嚨馃嚤, 2020), DIAMOND GRANT (MNiSW, Poland 馃嚨馃嚤, 2019; see Grants for details), laureate of the Best diploma of the year 2018/2019 among graduates of the second degree studies at PWR (Marshal's Office, Wroc艂aw, Poland 馃嚨馃嚤, 2019), Winner of the BNY Mellon Master's Thesis Competition (BNY Mellon Science, Poland 馃嚨馃嚤, 2019)
    First job after PhD: Assistant Professor, Department of Operations Research and Business Intelligence, Wroc艂aw University of Science and Technology, Poland
    See also: IDEAS/RePEc profile, Scopus profile


  4. Tomasz Antczak (2022) Opracowanie agentowego modelu kolejkowego oraz ocena wp艂ywu instalacji kas samoobs艂ugowych na wydajno艣膰 proces贸w kasowych w supermarketach (Development of an agent-based queuing model and evaluation of the impact of installing self-service checkouts on the efficiency of checkout processes in supermarkets). Faculty of Management, PWr, Poland 馃嚨馃嚤
    Slides: Polish version [PDF 2.3 MB] 馃嚨馃嚤
    PhD defense: 22.11.2022, degree awarded: 29.11.2022
    Auxiliary supervisor: Jacek Zabawa
    Reviewers: Bogumi艂 Kami艅ski (Warsaw School of Economics, Poland 馃嚨馃嚤), Agnieszka Kowalska-Stycze艅 (Politechnika 艢l膮ska, Poland 馃嚨馃嚤), Ma艂gorzata 艁atuszy艅ska (Uniwersytet Szczeci艅ski, Poland 馃嚨馃嚤)
    First job after PhD: Head of Projects in Sales Organisation, Kaufland Polska, Wroc艂aw, Poland


  5. Jakub Nowotarski (2017) Forecast averaging as a method to mitigate risks related to decision making in an energy company. Faculty of Computer Science and Management, PWr, Poland 馃嚨馃嚤
    Slides: English version [PDF 4.2 MB] 馃嚨馃嚤, Polish version [PDF 4.1 MB] 馃嚨馃嚤
    PhD defense: 01.06.2017, degree awarded: 27.06.2017
    Auxiliary supervisor: Katarzyna Maciejowska
    Reviewers: Derek Bunn (London Business School, UK 馃嚞馃嚙), S艂awomir 艢miech (UE Krak贸w, Poland 馃嚨馃嚤)
    Prizes and awards: Prime Minister's Prize for PhD Theses (Poland 馃嚨馃嚤, 2018), Ministry of Higher Education scholarship for PhD students (MNiSW, Poland 馃嚨馃嚤, 2016), Wincenty Sty艣 Scholarship for outstanding achievements in Social Sciences and Humanities (Wroc艂aw Municipality, Poland 馃嚨馃嚤, 2015), 2nd place in the Price Track of the Global Energy Finance Competition GEFCom2014 (USA 馃嚭馃嚫, 2015; jointly with Katarzyna Maciejowska), International Symposium on Forecasting 2015 travel grant award (International Institute of Forecasters, USA 馃嚭馃嚫, 2015), Best Ph.D. student paper and presentation at the Conference on Energy Finance (Erice, Italy 馃嚠馃嚬, 2014), PRELUDIUM research grant (NCN, Poland 馃嚨馃嚤, 2014; see Grants for details)
    First job after PhD: Quant, Model Risk Management Group, BNY Mellon, Wroc艂aw, Poland
    See also: IDEAS/RePEc profile, Scopus profile


  6. Artur Sierociuk (2014) System zarz膮dzania ryzykiem w uczelni publicznej (Risk management system at a public higher education institution). Faculty of Computer Science and Management, PWr, Poland 馃嚨馃嚤
    PhD defense: 08.07.2014, degree awarded: 30.09.2014
    Reviewers: Katarzyna Kuziak (UE Wroc艂aw, Poland 馃嚨馃嚤), Mateusz Pipie艅 (UE Krak贸w, Poland 馃嚨馃嚤)
    First job after PhD: Internal Auditor, PWr, Poland

  7. Adam Misiorek (2012) Kr贸tkoterminowe prognozowanie i zarz膮dzanie ryzykiem w przedsi臋biorstwie elektroenergetycznym z wykorzystaniem modeli niegaussowskich (Short-term forecasting and risk management in an energy company with non-Gaussian models). Faculty of Computer Science and Management, PWr, Poland 馃嚨馃嚤
    PhD defense: 08.01.2013, degree awarded: 29.01.2013
    Reviewers: Ma艂gorzata Doman (UE Pozna艅, Poland 馃嚨馃嚤), Jacek Mercik (PWr, Poland 馃嚨馃嚤)
    First job after PhD: Risk Manager, Santander Consumer Bank, Wroc艂aw, Poland
    See also: IDEAS/RePEc profile

  8. Joanna Janczura (2011) Stochastic modeling of prices in the energy market. Institute of Mathematics and Computer Science, PWr, Poland 馃嚨馃嚤
    PhD defense: 03.04.2012, degree awarded: 08.05.2012
    Reviewers: Jacek Jakubowski (Uniwersytet Warszawski, Poland 馃嚨馃嚤), 艁ukasz Stettner (IM PAN, Warszawa, Poland 馃嚨馃嚤)
    Prizes and awards: Scholarship Przedsi臋biorczy Doktorant - Entrepreneurial PhD Student (Lower Silesian Voivodship, Poland 馃嚨馃嚤, 2010), Scholarship GRANT for PhD students (Lower Silesian Voivodship, Poland 馃嚨馃嚤, 2009)
    First job after PhD: Assistant Professor, Institute of Mathematics and Computer Science, PWr, Wroc艂aw, Poland
    See also: IDEAS/RePEc profile, Scopus profile


Top


MSc Theses

2025 (0+), 2024 (1), 2023 (4), 2021-2022 (0), 2020 (3), 2019 (2), 2017-2018 (0), 2016 (1), 2015 (1), 2014 (0), 2013 (4), 2012 (1), 2011 (3), 2010 (4), 2009 (4), 2008 (2), 2007 (2), 2006 (3), 2005 (4), 2004 (3), 2003 (3), 2002 (1), 2001 (0), 2000 (4), 1999 (2)

  1. Erwin Marysiok (2024, BI) Ensemble forecasting of electricity prices for decision support 馃嚨馃嚤

  2. Katarzyna Ch臋膰 (2023, BI) Short-term forecasting of the seasonal component: Decision support in day-ahead electricity trading 馃嚨馃嚤
    Prizes and awards: 1st place in the 3-minute student talks competition (BI Day, 2023)
    Appointmenta after MSc: PhD Student, PWr, Poland 馃嚨馃嚤 (expected graduation: 2027); HEADFOUND GmbH, Poland 馃嚨馃嚤 / Germany 馃嚛馃嚜

  3. Karolina Dymek (2023, BI) Forecasting electricity prices by identifying breakpoints using Python and SAP: Selecting the best computing environment for business applications 馃嚨馃嚤

  4. Wioletta Szyku艂a (2023, AM) Forecasting electricity generation from wind farms 馃嚨馃嚤

  5. Hammad Ullah (2023, BI) Ensemble forecasting of electricity prices for managing a power portfolio 馃嚨馃嚤

  6. Alicja Kaszuba (2020, AM) Using local autoregressive (LAR) models for forecasting day-ahead electricity prices 馃嚨馃嚤

  7. Tomasz Serafin (2020, AM) Ensemble forecasting of intraday electricity prices 馃嚨馃嚤
    Prizes and awards: DIAMOND GRANT (MNiSW, Poland, 2020; see Grants for details), 3rd place in the BNY Mellon Master's Thesis Competition (BNY Mellon Science, Poland, 2020)
    First appointment after MSc: PhD Student, PWr, Poland 馃嚨馃嚤 (expected graduation: 2024)
    See also: IDEAS/RePEc profile, Scopus profile


  8. Adam Spycha艂a (2020, ZARZ) Modeling and forecasting of electricity prices and demand 馃嚨馃嚤

  9. Grzegorz Marcjasz (2019, AM) Forecasting electricity prices: A comparison of deep and shallow neural networks 馃嚨馃嚤
    Prizes and awards: DIAMOND GRANT (MNiSW, Poland, 2019; see Grants for details), Best Student Paper prize (runner-up) at the Computational Management Science CMS2018 conference (Trondheim, Norway, 2018)
    First appointment after MSc: PhD Student, PWr, Poland 馃嚨馃嚤 (see PhD students)
    See also: IDEAS/RePEc profile, Scopus profile


  10. Bartosz Uniejewski (2019, AM) Probabilistic forecasting based on quantile regression and regularization 馃嚨馃嚤
    Prizes and awards: DIAMOND GRANT (MNiSW, Poland, 2019; see Grants for details), laureate of the Best diploma of the year 2018/2019 among graduates of the second degree studies at PWR (Marshal's Office, Wroc艂aw, Poland, 2019), Winner of the BNY Mellon Master's Thesis Competition (BNY Mellon Science, Poland, 2019)
    First appointment after MSc: PhD Student, PWr, Poland 馃嚨馃嚤 (see PhD students)
    See also: IDEAS/RePEc profile, Scopus profile


  11. Micha艂 Kucharczyk (2016, MFU) Kr贸tkoterminowe prognozowanie cen energii elektrycznej z wykorzystaniem u艣redniania prognoz modeli siostrzanych 馃嚨馃嚤
    First job after MSc: Business Intelligence and Credit Risk Management Specialist, Bank Zachodni WBK S.A., Wroc艂aw, Poland 馃嚨馃嚤

  12. Micha艂 Olejnik (2015, MFU) Modelowanie i prognozowanie 艣ci膮galno艣ci wierzytelno艣ci 馃嚨馃嚤

  13. Iwona Klinowska (2013, ECMI) Forecasting spikes in Australian electricity spot prices 馃嚨馃嚤
    First job after MSc: Technical Analyst, Credit Suisse, Wroc艂aw, Poland 馃嚨馃嚤

  14. Pawe艂 Maryniak (2013, ECMI) Using indicated demand and generation data to predict price spikes in the UK power market 馃嚨馃嚤
    Prizes and awards: DIAMOND GRANT (MNiSW, Poland, 2012; see Grants for details)
    First appointment after MSc: Expert, Ministry of Development, Poland 馃嚨馃嚤
    Related publication(s): P. Maryniak, R. Weron (2019) What is the probability of an electricity price spike? Evidence from the UK power market, in "Handbook of Energy Finance: Theories, Practices and Simulations", eds. S. Goutte, D.K. Nguyen, World Scientific. Earlier working paper version available from RePEc: https://ideas.repec.org/p/wuu/wpaper/hsc1411.html

  15. Jakub Nowotarski (2013, MFU) Kr贸tkoterminowe prognozowanie spotowych cen energii elektrycznej z wykorzystaniem u艣redniania modeli 馃嚨馃嚤
    See: PhD Students

  16. Micha艂 Zator (2013, ECMI) Relationship between spot and futures prices in electricity markets. Pitfalls of regression analysis 馃嚨馃嚤
    Appointments after MSc: PKP Intercity, Poland 馃嚨馃嚤; Research Assistant, Center for Law & Economics, ETH Zurich, Switzerland 馃嚚馃嚟; PhD Student, Kellogg School of Management, Evanston, IL, USA 馃嚭馃嚫; Department of Finance, Mendoza College of Business, University of Notre Dame, USA 馃嚭馃嚫
    Related publication(s): R. Weron, M. Zator (2014) Revisiting the relationship between spot and futures prices in the Nord Pool electricity market, Energy Economics 44, 178-190 (doi:10.1016/j.eneco.2014.03.007). Working paper version available from RePEc: http://ideas.repec.org/p/wuu/wpaper/hsc1308.html
    See also: IDEAS/RePEc profile

  17. Monika Szyd艂o (2012, MFU) Wyg艂adzanie wyk艂adnicze w prognozowaniu proces贸w rynkowych 馃嚨馃嚤

  18. Adam Bukowski (2011, MFU) Szeregi czasowe z szumem niegaussowskim: kalibracja i prognozowanie 馃嚨馃嚤
    First job after MSc: Specialist, Bank Zachodni WBK S.A., Wroc艂aw, Poland 馃嚨馃嚤

  19. Agnieszka Janek (2011, MFU) The vanna-volga method for derivatives pricing 馃嚨馃嚤
    First job after MSc: Analyst, Ernst & Young, Cologne, Germany 馃嚛馃嚜
    Related publication(s): A. Janek, T. Kluge, R. Weron, U. Wystup (2011) FX smile in the Heston model, in "Statistical Tools for Finance and Insurance (2nd ed)", eds. P. Cizek, W. H鐩瞨dle, R. Weron, Springer-Verlag, Berlin, 133-162. Preprint version Available from MPRA: http://mpra.ub.uni-muenchen.de/25491/, arXiv.org: http://arxiv.org/abs/1010.1617
    See also: IDEAS/RePEc profile

  20. Daniel Kucharczyk (2011, ECMI) The Heston model for pricing path dependent options 馃嚨馃嚤
    First appointment after MSc: PhD Student, PWr, Poland 馃嚨馃嚤 (graduated: 2018)

  21. Piotr Majer (2010, MFU) Pricing structured currency products 馃嚨馃嚤
    First appointment after MSc: PhD Student, Humboldt University Berlin, Germany 馃嚛馃嚜 (graduated: 2015)

  22. Jaros艂aw Mruga艂a (2010, ECMI) Foreign exchange market - modeling and forecasting exchange rates 馃嚨馃嚤

  23. Mateusz Wiewi贸rko (2010, MFU) Zarz膮dzanie ryzykiem w przedsi臋biorstwie. Miary ryzyka EaR, CFaR i PaR 馃嚨馃嚤
    First job after MSc: Junior Analyst, Getin Noble Bank S.A., Wroc艂aw, Poland 馃嚨馃嚤

  24. Pawe艂 Wr贸bel (2010, MFU) Opcje realne w wycenie projekt贸w inwestycyjnych 馃嚨馃嚤

  25. Janusz Gajda (2009, MFU) Opcje koszykowe a lokaty strukturyzowane - wycena 馃嚨馃嚤
    First appointment after MSc: PhD Student, PWr, Poland 馃嚨馃嚤 (graduated: 2014)
    See also: IDEAS/RePEc profile

  26. Joanna Janczura (2009, ECMI) Subdynamics of financial data from fractional Fokker-Planck equation 馃嚨馃嚤
    First appointment after MSc: PhD Student, PWr, Poland 馃嚨馃嚤 See: PhD Students

  27. Piotr Ma艂ecki (2009, MFU) Symulacyjne metody wyceny opcji ameryka艅skich 馃嚨馃嚤

  28. Katarzyna Smaga (2009, MFU) Metody oceny ryzyka operacyjnego 馃嚨馃嚤
    First job after MSc: Consultant, Nagler & Company, Wroc艂aw, Poland 馃嚨馃嚤

  29. Andrzej Motyka (2008) Sztuczna inteligencja kontra modele statystyczne: Czy sieci neuronowe portrafi膮 lepiej prognozowa膰 ceny energii? 馃嚨馃嚤

  30. Maja W艂oszczowska (2008) Wojny Coli (Cola wars) - czyli si艂a reklamy na rynku oligopolicznym 馃嚨馃嚤
    Related publication(s): K. Sznajd-Weron, R. Weron, M. W艂oszczowska (2008) Outflow Dynamics in Modeling Oligopoly Markets: The Case of the Mobile Telecommunications Market in Poland, Journal of Statistical Mechanics P11018 (doi: 10.1088/1742-5468/2008/11/P11018). Available from MPRA: http://mpra.ub.uni-muenchen.de/10422/
    See also: Silver medalist - Beijing 馃嚚馃嚦 (2008) and Rio de Janeio 馃嚙馃嚪 (2016) Olympics!!! More on olimpijski.pl


  31. Micha艂 Baryli艅ski (2007) Modelowanie i prognozowanie cen i zapotrzebowania na energi臋 elektryczn膮 z wykorzystaniem sieci neuronowych 馃嚨馃嚤
    First job after MSc: Credit Risk Management Specialist, Bank Zachodni WBK S.A., Wroc艂aw, Poland 馃嚨馃嚤

  32. 艁ukasz Ma艂ek (2007) Finanse behawioralne; badanie sk艂onno艣ci poznawczych inwestor贸w 馃嚨馃嚤

  33. Joanna K膮tnik (2006) Algorytmy genetyczne i inne techniki sztucznej inteligencji w modelowaniu cen energii 馃嚨馃嚤

  34. Jakub Jurdziak (2006) Modele zmieniaj膮ce stany (regime-switching): symulacja, estymacja parametr贸w i zastosowania 馃嚨馃嚤

  35. Przemys艂aw Puchalski (2006) Modelowanie sezonowo艣ci w danych finansowych za pomoc膮 szereg贸w SARIMA i PARMA 馃嚨馃嚤

  36. Grzegorz Boczar (2005) Rozk艂ady hiperboliczne w modelowaniu finansowym 馃嚨馃嚤

  37. Przemys艂aw Kaczmarek (2005) Por贸wnanie modeli struktury terminowej st贸p procentowych 馃嚨馃嚤

  38. Adam Ocharski (2005) Analiza sk艂adowych g艂贸wnych w modelowaniu implikowanej zmienno艣ci 馃嚨馃嚤

  39. Pawe艂 Omelko (2005) Rozk艂ady gruboogonowe - implementacja w Javie 馃嚨馃嚤

  40. Katarzyna Samu艂a (2004) Modelowanie ryzyka kredytowego dla banku Pekao S.A. - oddzia艂 w Wa艂brzychu 馃嚨馃嚤

  41. Piotr Uniejewski (2004) Koherentne miary ryzyka 馃嚨馃嚤
    First job after MSc: Data Analyst, Kruk S.A., Wroc艂aw, Poland 馃嚨馃嚤

  42. Szymon Wysocza艅ski (2004) Por贸wnanie numerycznych metod wyceny opcji 馃嚨馃嚤

  43. Szymon Borak (2003) Implementacja bibliotek finansowych dla systemu XploRe 馃嚨馃嚤
    First appointment after MSc: PhD Student, Humboldt University Berlin, Germany 馃嚛馃嚜 (graduated: 2008)
    Related publication(s): Sz. Borak, W. Haerdle, R. Weron (2005) Stable distributions, in "Statistical Tools for Finance and Insurance", eds. P. Cizek, W. Haerdle, R. Weron, Springer-Verlag, Berlin, 21-44
    See also: IDEAS/RePEc profile

  44. Andrzej Szyma艅ski (2003) Prognozowanie cen i zapotrzebowania na energi臋 elektryczn膮 za pomoc膮 szereg贸w czasowych i sieci neuronowych 馃嚨馃嚤

  45. S艂awomir W贸jcik (2003) Generator scenariuszy dla portfeli opcyjnych - toolbox w Matlabie 馃嚨馃嚤
    First job after MSc: Business Solution Architect, Comarch, Krak贸w, Poland 馃嚨馃嚤

  46. Piotr Wilman (2002) Modelowanie cen i zapotrzebowania na energi臋 elektryczn膮 馃嚨馃嚤
    Related publication(s): R. Weron, I. Simonsen, P. Wilman (2004) Modeling highly volatile and seasonal markets: evidence from the Nord Pool electricity market, in "The Application of Econophysics", ed. H. Takayasu, Springer, Tokyo, 182-191

  47. Marek Koz艂owski (2000) Modu艂 Zarz膮dzania Ryzykiem w Symulatorze Rynku Instrument贸w Pochodnych 馃嚨馃嚤
    First job after MSc: Researcher, IASE, Wroc艂aw, Poland 馃嚨馃嚤

  48. Adam Misiorek (2000) Alternatywne modele wyceny opcji a u艣miech zmienno艣ci 馃嚨馃嚤
    See: PhD Students

  49. Tomasz Piesiewicz (2000) Sieciowy symulator rynku instrument贸w pochodnych w Polsce 馃嚨馃嚤
    First job after MSc: Researcher, IASE, Wroc艂aw, Poland 馃嚨馃嚤

  50. Pawe艂 Talar (2000) Por贸wnanie metod szacowania ryzyka rynkowego i kredytowego 馃嚨馃嚤
    First job after MSc: Specialist, Banking Supervision Department, National Bank of Poland (NBP) 馃嚨馃嚤

  51. Tomasz Garli艅ski (1999) Kontrakt VOLAX - pr贸b膮 opisu zmienno艣ci cen instrument贸w finansowych 馃嚨馃嚤

  52. Andrzej Zacharewicz (1999) Analiza zale偶no艣ci d艂ugoterminowej KGHM Polska Mied藕 S.A. 馃嚨馃嚤 Prizes and awards: 2nd place in the Warsaw University and Bank PEKAO S.A. competition for the best MSc Thesis in Financial Mathematics

Top


BSc and Engineering Theses

2025 (0+), 2024 (1), 2023 (0), 2022 (1), 2019-2021 (0), 2018 (3), 2017 (2), 2016 (9), 2015 (2), 2014-2009 (0), 2008 (6), 2007 (5), 2006 (1), 2005 (0), 2004 (1), 2003 (2), 2002 (6), 2001 (6)

  1. 艁ukasz Serafin (2024, MS) Wp艂yw funkcji kary w modelach autoregresyjnych na wynik finansowy strategii handlowych na rynku energii elektrycznej 馃嚨馃嚤

  2. Julia Nasiadka (2022, MS) Wyb贸r okna kalibracji na podstawie detekcji punkt贸w zmiany na potrzeby prognozowania cen energii elektrycznej na rynku dnia nast臋pnego 馃嚨馃嚤
    Related publication(s): J. Nasiadka, W. Nitka, R. Weron (2022) Calibration window selection based on change-point detection for forecasting electricity prices. In: D. Groen et al. (eds.), Computational Science ICCS 2022, Lecture Notes in Computer Science 13352, Springer, https://doi.org/10.1007/978-3-031-08757-8_24 . Working paper version available from arXiv: https://doi.org/10.48550/arXiv.2204.00872

  3. Agnieszka Boryczka (2018, INS) Kr贸tkoterminowe prognozowanie zapotrzebowania na energi臋 elektryczn膮 - por贸wnanie wyg艂adzania wyk艂adniczego i szereg贸w czasowych 馃嚨馃嚤

  4. Rafa艂 Jakuczek (2018, INS) Prognozowanie cen energii elektrycznej na rynku dnia nast臋pnego - por贸wnanie wyg艂adzania wyk艂adniczego i szereg贸w czasowych 馃嚨馃嚤

  5. Bartosz Uniejewski (2018, MS) Efektywne prognozowanie spotowych cen energii elektrycznej z wykorzystaniem modeli eksperckich i LASSO 馃嚨馃嚤
    Prizes and awards: Triple laureate of the Ministry of Higher Education scholarship for undergraduate students (MNiSW, Poland, 2016, 2017, 2018) 馃嚨馃嚤
    Related publication(s): B. Uniejewski, R. Weron (2018) Efficient forecasting of electricity spot prices with expert and LASSO models, Energies 11(8), 2039 (doi: 10.3390/en11082039); B. Uniejewski, J. Nowotarski, R. Weron (2016) Automated variable selection and shrinkage for day-ahead electricity price forecasting, Energies 9(8), 621 (doi: 10.3390/en9080621)


  6. Yelim Han (2017, OM) Cultural differences in investor decisions based on price trends: Korea vs. Poland 馃嚨馃嚤

  7. Natalia Przyby艂kiewicz (2017, OM) Gender differences in investor decisions based on price trends 馃嚨馃嚤

  8. Mateusz Kowalski (2016, MS) Modelowanie i prognozowanie cen aktyw贸w finansowych z wykorzystaniem modeli z d艂ug膮 pami臋ci膮 馃嚨馃嚤

  9. Joanna Krawczyk (2016, MS) Kr贸tkoterminowe prognozowanie cen i zapotrzebowania na energi臋 elektryczn膮 - por贸wnanie sieci neuronowych i szereg贸w czasowych 馃嚨馃嚤

  10. J臋drzej 艁apacz (2016, Z) Czy dyrektorzy finansowi dzia艂aj膮 racjonalne? Ocena ich zachowa艅 i decyzji handlowych na rynku finansowym 馃嚨馃嚤

  11. Jakub Maciejewski (2016, INS) Kr贸tkoterminowe prognozowanie zapotrzebowania na energi臋 elektryczn膮 z wykorzystaniem szereg贸w czasowych

  12. Felix Santa (2016, OM) Cola wars and agent-based models in marketing 馃嚨馃嚤

  13. Konrad Stachera (2016, INS) Kr贸tkoterminowe prognozowanie zapotrzebowania na energi臋 elektryczn膮 z wykorzystaniem u艣redniania prognoz 馃嚨馃嚤

  14. Tomasz Stanis艂awski (2016, MS) Wycena opcji egzotycznych na rynku walutowym 馃嚨馃嚤

  15. Agnieszka Szamocka (2016, MS) Kr贸tkoterminowe prognozowanie cen energii elektrycznej z wykorzystaniem wyg艂adzania wyk艂adniczego 馃嚨馃嚤

  16. Agnieszka Turkiewicz (2016, OM) Integration of the financial and insurance worlds - examples of products offered in the Polish market 馃嚨馃嚤

  17. Karolina Gibes (2015, OM) Are investors rational? Assessment of their behavior and trading decisions in the financial market 馃嚨馃嚤

  18. Laurentiu Nita (2015, OM) Managing a currency portfolio of an enterprise: The risks of employing technical analysis 馃嚨馃嚤

  19. Pawe艂 Billewicz (2008) Baza danych i portal materia艂贸w dydaktycznych dla pracownik贸w i student贸w WPPT 馃嚨馃嚤

  20. Piotr Figiel (2008) Chaos deterministyczny - wizualizacje struktur z艂o偶onych 馃嚨馃嚤

  21. Bartosz Grzyb (2008) Czy inwestorzy s膮 racjonalni? Badanie sk艂onno艣ci poznawczych inwestor贸w 馃嚨馃嚤

  22. Karolina Kopacz (2008) Co 艂膮czy 偶uka Mandelbrota z diagramem bifurkacyjnym? 馃嚨馃嚤

  23. Pawe艂 Kowol (2008) Jaka jest d艂ugo艣膰 wybrze偶a Ba艂tyku? Pomiar struktur fraktalnych 馃嚨馃嚤

  24. Karolina Kuli艅ska (2008) Jak skresla膰 偶eby wygra膰? Badanie zachowa艅 i strategii graczy w toto-lotka 馃嚨馃嚤

  25. Maciej Bartodziej (2007) Modelowanie ruchu ulicznego za pomoc膮 automat贸w kom贸rkowych 馃嚨馃嚤

  26. Aldona Bodasi艅ska (2007) Symulowanie nastroj贸w spo艂ecznych w Polsce za pomoc膮 modeli sieciowych 馃嚨馃嚤

  27. Anna Rutkowska (2007) Modelowanie biologicznych uk艂ad贸w typu drapiezca - ofiara z wykorzystaniem b艂膮dzenia losowego 馃嚨馃嚤

  28. Marcin Treffler (2007) Zagl膮dnij w g艂膮b 偶uka Mandelbrota, czyli samopodobie艅stwo i fraktale 馃嚨馃嚤

  29. Roksana Wdowiak (2007) Identyfikacja struktur sieci z艂o偶onych 馃嚨馃嚤

  30. Marcin Szkudlarz (2006) Analiza ryzyka w przedsi臋biorstwie: Implementacja metody CorporateMetrics 馃嚨馃嚤

  31. Renata Wywrot (2004) Modelowanie rozprzestrzeniania si臋 epidemii SARS 馃嚨馃嚤

  32. Katarzyna Morawska (2003) Rozk艂ady alfa-stabilne w modelowaniu finansowym 馃嚨馃嚤

  33. Joanna Szot (2003) Rozk艂ady hiperboliczne w modelowaniu finansowym 馃嚨馃嚤

  34. Barbara Boro艅 (2002) Analiza i modelowanie kurs贸w walutowych 馃嚨馃嚤

  35. Marta Chojecka (2002) Analiza i modelowanie cen akcji z GPWW 馃嚨馃嚤

  36. Przemys艂aw Cicho艅 (2002) Rynek terminowy a spotowy: analiza i modelowanie stochastyczne 馃嚨馃嚤

  37. Katarzyna Dura (2002) Kalkulator st贸p procentowych 馃嚨馃嚤

  38. Monika R贸偶ycka (2002) Modelowanie cen i zapotrzebowania na energi臋 elektryczn膮 馃嚨馃嚤

  39. Marcin Szyma艅ski (2002) Wycena opcji metod膮 Monte Carlo 馃嚨馃嚤

  40. Nicos Karagieorgopulus (2001) Warto艣膰 nara偶ona na ryzyko (VaR) dla polskiego rynku akcji - podej艣cie klasyczne 馃嚨馃嚤

  41. Dariusz Kwiatek (2001) Warto艣膰 nara偶ona na ryzyko (VaR) dla polskiego rynku akcji - symulacje Monte Carlo 馃嚨馃嚤

  42. Jaros艂aw Ma艂ek (2001) Modelowanie danych finansowych za pomoc膮 szereg贸w typu xARCH 馃嚨馃嚤

  43. Bartosz Rejent (2001) Analiza praw skalowania i zale偶no艣ci d艂ugoterminowych dla kurs贸w walutowych 馃嚨馃嚤

  44. Karina Za艂ucka (2001) Modelowanie danych finansowych za pomoc膮 proces贸w dyfuzji 馃嚨馃嚤

  45. Joanna Zg贸recka (2001) Analiza praw skalowania i zale偶no艣ci d艂ugoterminowych dla cen energii 馃嚨馃嚤

Top