Difference between revisions of "Official COST FinAI Publications"
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== Working papers == | == Working papers == | ||
| − | 1. Devine, M.T, Russo, M., Cuffe, P., Blockchain electricity trading using tokenised power delivery contract. ESRI Working Paper 649 [https://www.esri.ie/publications/blockchain-electricity-trading-using-tokenised-power-delivery-contracts], | + | 1. Devine, M.T, Russo, M., Cuffe, P., Blockchain electricity trading using tokenised power delivery contract. ESRI Working Paper 649 [https://www.esri.ie/publications/blockchain-electricity-trading-using-tokenised-power-delivery-contracts], 2020. |
2. K. Khowaja, D. Saef, S. Sizov, and W. K. Härdle. Data Analytics Driven Controlling: bridging statistical modeling and managerial intuition. [https://www.wiwi.hu-berlin.de/de/forschung/irtg/results/discussion-papers/discussion-papers-2017-1/irtg1792dp2020-026.pdf IRTG 1792 Discussion Paper 2020-026], 2020. | 2. K. Khowaja, D. Saef, S. Sizov, and W. K. Härdle. Data Analytics Driven Controlling: bridging statistical modeling and managerial intuition. [https://www.wiwi.hu-berlin.de/de/forschung/irtg/results/discussion-papers/discussion-papers-2017-1/irtg1792dp2020-026.pdf IRTG 1792 Discussion Paper 2020-026], 2020. | ||
Revision as of 09:52, 17 December 2020
Here you find a list of all academic publications that were created in the context of our COST FinAI Action.
Academic peer-reviewed papers
Working papers
1. Devine, M.T, Russo, M., Cuffe, P., Blockchain electricity trading using tokenised power delivery contract. ESRI Working Paper 649 [1], 2020.
2. K. Khowaja, D. Saef, S. Sizov, and W. K. Härdle. Data Analytics Driven Controlling: bridging statistical modeling and managerial intuition. IRTG 1792 Discussion Paper 2020-026, 2020.
3. Paraschiv, F., Schmid, M., Wahlstrøm, R. R. Bankruptcy prediction of privately held SMEs using feature selection methods.
4. Wahlstrøm, R. R., Paraschiv, F., & Schürle, M. A Comparative Analysis of Parsimonious Yield Curve Models with Focus on the Nelson-Siegel, Svensson and Bliss Models. Available at SSRN: http://dx.doi.org/10.2139/ssrn.3600955