Autor: Spirzewski, Krzysztof - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Efficiency of the banking sector in Poland compared to other countries in the region
Autorzy:: Filipek, Anna
Spirzewski, Krzysztof
Powiązania:: https://bibliotekanauki.pl/articles/19322627.pdf
Data publikacji:: 2023-05-22
Wydawca:: Uniwersytet Warszawski. Wydawnictwo Naukowe Wydziału Zarządzania
Tematy:: banking sector
efficiency
financial system
DEA method
Opis:: The banking system is one of the most important components of the financial systems on which modern economies are largely based. The occurrence of instability in this area may lead to serious economic problems. Therefore, the interest of researchers in this area has been focused mainly on assessing the effectiveness and efficiency of the banking sector, which will allow for identifying possible areas for improvement. In this paper, we discuss the use of efficiency as one of the basic measures used to assess the functioning of the banking sector. The aim of this study is to examine the efficiency of the banking sector in Poland, and then to compare the obtained results with selected countries of the region in 2014–2018. The paper presents theoretical considerations in the field of the financial system, the banking system and the efficiency of entities. In the empirical part of the paper, we conducted our own research on the efficiency of the banking sector in Poland using the DEA (Data Envelopment Analysis) method. The results were compared with those obtained in selected countries in the region. The selected countries of the region are: Bulgaria, the Czech Republic, Estonia, Croatia, Hungary, Lithuania, Latvia, Romania and Slovakia.
Źródło:: Journal of Banking and Financial Economics; 2023, 1(19); 57-84
2353-6845
Pojawia się w:: Journal of Banking and Financial Economics
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Concept of Peer-to-Peer Lending and Application of Machine Learning in Credit Scoring
Autorzy:: Klimowicz, Aleksy
Spirzewski, Krzysztof
Powiązania:: https://bibliotekanauki.pl/articles/2053921.pdf
Data publikacji:: 2021-12-20
Wydawca:: Uniwersytet Warszawski. Wydawnictwo Naukowe Wydziału Zarządzania
Tematy:: artificial intelligence
peer-to-peer lending
credit risk assessment
credit scorecards
logistic regression
machine learning
Opis:: Numerous applications of AI are found in the banking sector. Starting from the front-office, enhancing customer recognition and personalized services, continuing in the middle-office with automated fraud-detection systems, ending with the back-office and internal processes automatization. In this paper we provide comprehensive information on the phenomenon of peer-to-peer lending in the modern view of alternative finance and crowdfunding from several perspectives. The aim of this research is to explore the phenomenon of peer-to-peer lending market model. We apply and check the suitability and effectiveness of credit scorecards in the marketplace lending along with determining the appropriate cut-off point. We conducted this research by exploring recent studies and open-source data on marketplace lending. The scorecard development is based on the P2P loans open dataset that contains repayments record along with both hard and soft features of each loan. The quantitative part consists in applying a machine learning algorithm in building a credit scorecard, namely logistic regression.
Źródło:: Journal of Banking and Financial Economics; 2021, 2(16); 25-55
2353-6845
Pojawia się w:: Journal of Banking and Financial Economics
Dostawca treści:: Biblioteka Nauki

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