Estimation of Maximum Potential Losses for Digital Banking Transaction Risks Using the Extreme Value-at-Risks Method

Saputra, Moch Panji Agung; Chaerani, Diah

doi:10.3390/risks10010010

Cited by 15 publications

(4 citation statements)

References 43 publications

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“…Check the GPD test value table [5], and under a certain significance level , repeat step 1 and 2 to get the threshold value and the excess number .…”

Section: Pot Modelmentioning

confidence: 99%

Building Value Assessment and Protection Model under Catastrophe Risk

Shen,

Wang,

Zhao

2024

HSET

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In recent years, with the change in the global environment, the frequency of catastrophes has been increasing, which poses a great threat to people's property and life safety. Many landmark buildings have high historical or economic value, and it is important to assess the value of these buildings and develop conservation plans. To evaluate the value of the building, this article first established the POT model to evaluate the risk of the building location. Then, based on the EWM-AHP method, we selected the first-level indicators and the second-level indicators to establish the value evaluation model of the building and used the logic function to establish the protection model through data fitting. According to the comprehensive analysis of the risk assessment and the value assessment of the building, the building protection measures are divided into three types: unprotected, reinforced, and relocated. It is applied to the church of San Marco in Venice, and it is concluded that the area needs to be reinforced. The establishment of the model is of great significance to the evaluation and protection of buildings.

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“…Check the GPD test value table [5], and under a certain significance level , repeat step 1 and 2 to get the threshold value and the excess number .…”

Section: Pot Modelmentioning

confidence: 99%

Building Value Assessment and Protection Model under Catastrophe Risk

Shen,

Wang,

Zhao

2024

HSET

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“…Walaupun perbankan digital memiliki keuntungan tersendiri bagi industri perbankan, namun sistem yang diterapkan pada perbankan digital juga dapat berisiko dengan adanya ancaman yang dilakukan dari pihak yang tidak bertanggung jawab (Saputra et al, 2022). Kominfo mencatat sejak Maret 2020 hingga November 2021 pengaduan yang diterima terkait fraud tercatat hampir 200 ribu laporan.…”

Section: Management Pendahuluanunclassified

Analisis Manajemen Risiko Bank Syariah Dalam Melakukan Transformasi Digital (Studi Kasus Pada Bank AS)

Fajri

Violita

2023

Owner

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This study aims to find out how appropriate the application of risk management is in carrying out digital transformation at Bank AS in accordance with the applicable provisions and concepts, so that it can be used as material for consideration for management to make improvements and strengthen the application of risk management, especially in carrying out the digitalization process in Islamic banking. This research uses a qualitative approach in the form of case study research. The data used is primary data with research data collection instruments in the form of interviews and secondary data in the form of documentation. The object of research is the Bank AS, which is one of the sharia banks that is currently carrying out digital transformation of its services. The results of the study show that Bank AS already has the implementation of risk management related to information technology in carrying out digital transformation which is in line with the three components of the Risk IT Framework however, there are several things that are considered to be obstacles such as in socializing a culture of risk awareness, delays in reporting, and regarding plans mitigation.

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“…With Asian Bulletin Of Contemporary Issues In Economics And Finance 3(1), 33-45 correct appraisals of these risks, the appropriate authorities will be able to better monitor and prevent the dangers that FinTech poses to financial systems. Saputra and Chaerani (2022) investigated the possibility of institutional financial hardship and banking risk exposure using statistical extreme value analysis. The authors assert that countries in the Eurozone have much lower levels of both tail risk and systemic risk in compared to those in the United States.…”

Section: Literature Reviewmentioning

confidence: 99%

Systemic Risk and Tail Risk of Fintech Firms During Covid 19: A Case of Southeast Asian Economy

Abdelsalam,

Sajid

2023

ABCIEF

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The main goal of this research is to compare the tail risk faced by Thai financial technology firms with the systemic risk experienced by financial technology companies in Thailand. During the COVID-19 outbreak, it was also investigated how the effects of tail risk and systemic risk affected Thailand's financial technology businesses. During COVID-19, the number of individuals using financial applications online surged drastically, giving clear proof of the sector's stratospheric ascent. During the same time period, the number of people using cryptocurrency apps increased dramatically. This study is the inaugural examination of its kind, investigating the interplay between tail risk, systemic risk, and Fintech, utilizing data from a sample representative of the Thai economy. Our study primarily centers on the financial technology sector, with the data for Fintech companies being computed for the periods between December 2019 and February 2022. Fintech businesses in Thailand look through the theoretical lens provided by the extreme value theory when calculating the tail risk of their portfolios. The fall in the value of technology businesses has given rise to the idea of establishing a significant number of financial technology companies located in Thailand. A lengthier and more widespread dispersion is consistent with an exponential growth of fintech businesses in Thailand during the course of the COVID-19 time period. Some businesses within our sample exhibit notably short tails, indicating a heightened susceptibility to adverse events, particularly during the COVID-19 period. The results indicate that the global technology index during COVID-19 is reliant on the systemic risk posed by Fintech. It's possible that these outcomes might be attributed to the large growth in customer bases seen by FinTech businesses during COVID-19. Fintech companies in Thailand saw significant growth during the epidemic of swine flu. The current research is among the first of its type when it comes to grasping the issues of tail risk and systemic risk in fintech enterprises in Thailand. This development is highly beneficial for policymakers, financial experts, and academics, as it facilitates a deeper comprehension of these issues.

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Estimation of Maximum Potential Losses for Digital Banking Transaction Risks Using the Extreme Value-at-Risks Method

Cited by 15 publications

References 43 publications

Building Value Assessment and Protection Model under Catastrophe Risk

Building Value Assessment and Protection Model under Catastrophe Risk

Analisis Manajemen Risiko Bank Syariah Dalam Melakukan Transformasi Digital (Studi Kasus Pada Bank AS)

Systemic Risk and Tail Risk of Fintech Firms During Covid 19: A Case of Southeast Asian Economy

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