Items where Subject is "H Social Sciences > HG Finance"

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Ahelegbey, Daniel Felix; Giudici, Paolo; Hadji Misheva, Branka (2019). Factorial Network Models to Improve P2P Credit Risk Management Frontiers in Artificial Intelligence, 2, pp. 1-9. Frontiers Research Foundation 10.3389/frai.2019.00008

Ahelegbey, Daniel Felix; Giudici, Paolo; Hadji Misheva, Branka (2019). Latent factor models for credit scoring in P2P systems Physica A: Statistical Mechanics and its Applications, 522, pp. 112-121. Elsevier 10.1016/j.physa.2019.01.130

Amato, Alessandra; Osterrieder, Jörg Robert; Machado, Marcos (2024). How can artificial intelligence help customer intelligence for credit portfolio management? A systematic literature review International Journal of Information Management Data Insights, 4(2), pp. 1-15. Elsevier 10.1016/j.jjimei.2024.100234

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Baals, Lennart John; Osterrieder, Jörg Robert; Hadji Misheva, Branka; Liu, Yiting (2024). Towards a new PhD Curriculum for Digital Finance Open Research Europe, 4(7), pp. 1-16. F1000 Research 10.12688/openreseurope.16513.1

Baumann, Flurina Fiona; Brunner, Nadine Belinda; Tokarski, Kim Oliver (2020). Big Data Analytics. Analyse der prädiktiven Fähigkeit von Twitter-Sentiments auf die Entwicklung des Börsenkurses von Technologieunternehmen In: Schellinger, Jochen; Tokarski, Kim Oliver; Kissling-Näf, Ingrid (eds.) Digitale Transformation und Unternehmensführung (pp. 223-248). Wiesbaden: Springer Gabler https://doi.org/10.1007/978-3-658-26960-9_9

Brinster, Leonhard; Hopp, Christian; Tykvová, Tereza (2020). The role of strategic alliances in VC exits: evidence from the biotechnology industry Venture Capital, 22(3), pp. 281-313. Taylor & Francis 10.1080/13691066.2020.1814192

Bucher, Chris; Osterrieder, Jörg Robert (2021). Risk Parity for Multi-Asset Futures Allocation: a Practical Analysis of the Equal Risk Contribution Portfolio Elsevier

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Chan, Stephen; Chu, Jeffrey; Nadarajah, Saralees; Osterrieder, Jörg Robert (2017). A statistical analysis of cryptocurrencies Journal of Risk and Financial Management, 10(2), p. 12. MDPI 10.3390/jrfm10020012

Chen, Ying; Giudici, Paolo; Hadji Misheva, Branka; Trimborn, Simon (2020). Lead Behaviour in Bitcoin Markets Risks, 8(1), p. 4. MDPI 10.3390/risks8010004

Christoffersen, Henrik; Beyeler, Michelle; Eichenberger, Reiner; Nannestad, Peter; Paldam, Martin (2014). The Good Society. A Comparative Study of Denmark and Switzerland Berlin, Heidelberg: Springer-Verlag 10.1007/978-3-642-37238-4

Coita, Ioana; Belbe, Stefana (Ștefana); Mare, Codruta (Codruța); Osterrieder, Jörg Robert; Hopp, Christian (2023). Modelling taxpayers’ behaviour based on prediction of trust using sentiment analysis Finance Research Letters, 58, p. 104549. Elsevier 10.1016/j.frl.2023.104549

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Farokhnia, Kia; Osterrieder, Joerg (2022). High-Frequency Causality between Stochastic Volatility Time Series: Empirical Evidence Elsevier 10.2139/ssrn.4087569

Fu, Weilong; Hirsa, Ali; Osterrieder, Jörg Robert (2022). Simulating financial time series using attention Cornell University 10.48550/arXiv.2207.00493

Furrer, Vincent; Deck, Klaus-Georg (2020). Das Potenzial von Smart Contracts an einem Beispiel aus der Finanzbranche – Smart Rating In: Schellinger, Jochen; Tokarski, Kim Oliver; Kissling-Näf, Ingrid (eds.) Digitale Transformation und Unternehmensführung (pp. 285-304). Wiesbaden: Springer Gabler https://doi.org/10.1007/978-3-658-26960-9_11

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Giudici, Paolo; Hadji Misheva, Branka; Spelta, Alessandro (2019). Network Based Scoring Models to Improve Credit Risk Management in Peer to Peer Lending Platforms Frontiers in Artificial Intelligence, 2, pp. 1-8. Frontiers Research Foundation 10.3389/frai.2019.00003

Giudici, Paolo; Hadji Misheva, Branka; Spelta, Alessandro (2020). Network based credit risk models Quality Engineering, 32(2), pp. 199-211. Taylor & Francis 10.1080/08982112.2019.1655159

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Hadji Misheva, Branka; Hirsa, Ali; Osterrieder, Joerg; Kulkarni, Onkar; Fung Lin, Stephen (2021). Explainable AI in Credit Risk Management Elsevier 10.2139/ssrn.3795322

Hirsa, Ali; Osterrieder, Jörg Robert; Misheva, Branka Hadji; Cao, Wenxin; Fu, Yiwen; Sun, Hanze; Wong, Kin Wai (2021). The VIX index under scrutiny of machine learning techniques and neural networks Cornell University 10.48550/arXiv.2102.02119

Hümbelin, Oliver; Farys, Rudolf (2019). The impact of redistribution through taxes and deductions on the income distribution - A decomposition analysis with administrative tax data from Switzerland In: 62nd ISI Wolrd Statistics Congress. Bern: Berner Fachhochschule BFH, Soziale Arbeit

Hümbelin, Oliver; Farys, Rudolf (2019). Ungleichheit und Steuern - Steuerdatenbasierte Einblicke in die redistributiven Effekte des Schweizer Steuersystems In: Jahrestagung der Schweizerischen Gesellschaft für Wirtschafts-und Sozialgeschichte zum Thema «Steuern und Ungleichheit». Bern: Berner Fachhochschule BFH, Soziale Arbeit

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Küffer, Simon Renato (11 May 2020). Das einzige, was interessiert, ist die grösstmögliche Profitrate Bieler Tagblatt

Küffer, Simon Renato (4 April 2022). Bitcoins & NFTs – mit Ela Kagel und David Simon In: Ein Abend im Museum: Money Talks. Bernisches Historisches Museum.

Küffer, Simon Renato (13 April 2022). Geld regiert die Welt - mit Joseph Vogl In: Ein Abend im Museum: Money Talks. Bernisches Historisches Museum.

Küffer, Simon Renato (20 April 2022). Geldflut? Wo? – mit Wolfgang Streeck In: Ein Abend im Museum: Money Talks. Bernisches Historisches Museum.

Küffer, Simon Renato (27 April 2022). Geld, Gender, Gaps – mit Nadine Jürgensen In: Ein Abend im Museum: Money Talks. Bernisches Historisches Museum.

Küffer, Simon Renato (4 May 2022). Finanzplatz Schweiz – mit Lea Haller und Stefan Leins In: Ein Abend im Museum: Money Talks. Bernisches Historisches Museum.

Küffer, Simon Renato (12 October 2022). Geld im Film – mit Elisabeth Bronfen und Wolfgang M. Schmitt In: Ein Abend im Museum: Money Talks. Bernisches Historisches Museum.

Küffer, Simon Renato (26 October 2022). Bilder des Geldes – mit Manuela Pfrunder und Cornelia Bohn In: Ein Abend im Museum: Money Talks. Bernisches Historisches Museum.

Küffer, Simon Renato (9 November 2022). Zentralbank-Zeiten – mit Leon Wansleben und Nicolas Cuche-Curti In: Ein Abend im Museum: Money Talks. Bernisches Historisches Museum.

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Liu, Yiting; Baals, Lennart John; Osterrieder, Jörg Robert; Hadji Misheva, Branka (2024). Network centrality and credit risk: A comprehensive analysis of peer-to-peer lending dynamics Finance Research Letters, 63, p. 105308. Elsevier 10.1016/j.frl.2024.105308

Liu, Yiting; Baals, Lennart John; Osterrieder, Jörg Robert; Hadji Misheva, Branka (2024). Leveraging network topology for credit risk assessment in P2P lending: A comparative study under the lens of machine learning Expert Systems with Applications, 252, p. 124100. Elsevier 10.1016/j.eswa.2024.124100

Liu, Yiting; Osterrieder, Jörg Robert; Hadji Misheva, Branka; Koenigstein, Nicole; Baals, Lennart John (2023). Navigating the Environmental, Social, and Governance (ESG) landscape: constructing a robust and reliable scoring engine - insights into Data Source Selection, Indicator Determination, Weighting and Aggregation Techniques, and Validation Processes for Comprehensive ESG Scoring Systems Open Research Europe, 3, p. 119. F1000 Research 10.12688/openreseurope.16278.1

Lorenz, Julian; Osterrieder, Jörg Robert (2008). Simulation of a limit order driven market The Journal Of Trading, 4(1), pp. 23-30. Portfolio Management Research 10.3905/JOT.2009.4.1.023

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Meili, Rahel; Stucki, Tobias (2023). Money matters: The role of money as a regional and corporate financial resource for circular economy transition at firm-level Research Policy, 52(10), p. 104884. Elsevier 10.1016/j.respol.2023.104884

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Odermatt, Leander; Beqiraj, Jetmir; Osterrieder, Jörg Robert (2021). Deep Reinforcement Learning for Finance and the Efficient Market Hypothesis Elsevier 10.2139/ssrn.3865019

Osterrieder, Jörg Robert (2007). Arbitrage, the limit order book and market microstructure aspects in financial market models (Dissertation, ETH Zürich)

Osterrieder, Jörg Robert (2005). A Dynamic Market Microstructure Model with Insider Information and Order Book Elsevier 10.2139/ssrn.676028

Osterrieder, Jörg Robert (2023). Share buybacks: a theoretical exploration of genetic algorithms and mathematical optionality Frontiers in Artificial Intelligence, 6 Frontiers Research Foundation 10.3389/frai.2023.1276804

Osterrieder, Jörg Robert; Hadji Misheva, Branka; Machado, Marcos (2023). Digital Finance: Reaching New Frontiers [version 1; peer review: 2 approved] Open Research Europe, 3(38) F1000 Research 10.12688/openreseurope.15386.1

Osterrieder, Jörg Robert; Lorenz, Julian (2017). A statistical risk assessment of Bitcoin and its extreme tail behavior Annals of Financial Economics, 12(01), p. 1750003. World Scientific Publishing Company 10.1142/S2010495217500038

Osterrieder, Jörg Robert; Seigne, Michael (2023). Unraveling market mysteries: a comprehensive review of financial anomalies and puzzles [version 1; peer review: 1 approved with reservations] Open Research Europe, 3(172) F1000 Research https://doi.org/10.12688/openreseurope.16436.1

Osterrieder, Jörg Robert; Seigne, Michael (2023). Examining share repurchase executions: insights and synthesis from the existing literature Frontiers in Applied Mathematics and Statistics, 9 Frontiers Research Foundation 10.3389/fams.2023.1265254

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Pfiffner, Roger (2019). Why Performance Information Use Requires a Managerial Identity: Evidence from the Field of Human Services Public Performance & Management Review, 42(2), pp. 405-431. Taylor & Francis Online 10.1080/15309576.2018.1464936

Posth, Jan-Alexander; Kotlarz, Piotr; Hadji Misheva, Branka; Osterrieder, Joerg; Schwendner, Peter (2021). The Applicability of Self-Play Algorithms to Trading and Forecasting Financial Markets Frontiers in Artificial Intelligence, 4, pp. 1-6. Frontiers Research Foundation 10.3389/frai.2021.668465

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Richmond, Craig; Kielhauser, Clemens; Adey, Bryan T. (June 2014). Genügender und effizienter Strassenunterhalt - Wie kann man es wissen? In: Konferenz „Verkehrsökonomik und -politik“ (2014). TU Berlin

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Vuojela, Juho; Rascón, Alberto (2022). Too Big to Fail Applied to Non-Financial Companies In: Schellinger, Jochen; Tokarski, Kim Oliver; Kissling-Näf, Ingrid (eds.) Resilienz durch Organisationsentwicklung: Forschung und Praxis (pp. 315-336). Wiesbaden: Spiringer Gabler 10.1007/978-3-658-36022-1_13

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Wenger, Tobias; Tokarski, Kim Oliver (2020). Kryptowährungen. Eine empirisch-qualitative Analyse von Kryptowährungen gegenüber dem traditionellen Währungssystem In: Schellinger, Jochen; Tokarski, Kim Oliver; Kissling-Näf, Ingrid (eds.) Digitale Transformation und Unternehmensführung (pp. 249-284). Springer Gabler 10.1007/978-3-658-26960-9_10

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Zejnullahu, Frensi; Moser, Maurice; Osterrieder, Jörg Robert (2022). Applications of Reinforcement Learning in Finance: Trading with a Double Deep Q-Network Cornell University 10.48550/arXiv.2206.14267