Výsledky vyhledávání - "Banking Supervision"

Akademický článek

Climate Change as a Business Risk: An Indonesian Banking Industry Perspective

Autor: Indah Puspitasari, Taufiq Faturohman

Publikováno v: International Journal of Humanities Education and Social Sciences, Vol 4, Iss 3 (2024)

Climate change has emerged as a new business risk that must be carefully evaluated, forecasted, mitigated and managed by all corporate organizations, including banks. Climate change has a profound effect on finance and business continuity, so all sec

Externí odkaz: https://doaj.org/article/84a306ec0a994237bc1caee9e9a0026f

Zobrazit plný text záznamu

Akademický článek

Money laundering, media and European banks

Autor: Tiemann, Markus

Publikováno v: Journal of Money Laundering Control, 2023, Vol. 27, Issue 1, pp. 93-126.

Externí odkaz: http://www.emeraldinsight.com/doi/10.1108/JMLC-02-2023-0032

Zobrazit plný text záznamu

Akademický článek

Banking supervisory architecture and sovereign risk

Autor: Cuadros-Solas, Pedro J. ^{a, ⁎}, Salvador, Carlos ^b, Suárez, Nuria ^c

Publikováno v: In Journal of Financial Stability February 2025 76

Zobrazit plný text záznamu

Akademický článek

Does regulatory and supervisory independence affect financial stability?

Autor: Fraccaroli, Nicolò ^{a, b, ⁎}, Sowerbutts, Rhiannon ^c, Whitworth, Andrew ^c

Publikováno v: In Journal of Banking and Finance January 2025 170

Zobrazit plný text záznamu

Akademický článek

Implementing the Single Supervisory Mechanism in the Euro Area: Effects on Deposit Structure of Banks

Autor: Emilija Popovska, Marko Košak

Publikováno v: Economic and Business Review, Vol 26, Iss 2 (2024)

In this paper we investigate whether the banks which fall under direct supervision by the European Central Bank (ECB) are more likely to be considered more stable and trustworthy by the depositors due to the stricter supervisory activities performed

Externí odkaz: https://doaj.org/article/703b85d734bf48e79d208866c0dfd5d5

Zobrazit plný text záznamu

Akademický článek

EVALUATION OF PREDICTION ACCURACY MODELS FOR BANKRUPTCY IN INDONESIAN BANKS

Autor: Adi GUNANTO

Publikováno v: Financial Studies, Vol 27, Iss 2, Pp 53-71 (2023)

This research aims to find the most accurate model for predicting bankruptcy in the Indonesian banking industry. The data used are secondary data in the form of financial reports from 2018 to 2022. The methodology includes hypothesis testing using no

Externí odkaz: https://doaj.org/article/5fbe212a0f274b7fa47fc1cee336c1b3

Zobrazit plný text záznamu