Search Results for « Banking Sector »

We employ a comprehensive data set and a variety of methods to provide evidence on the magnitude of large banks' funding advantage in Canada in addition to the extent to which market discipline exists across different securities issued by the Canadian banks. The banking sector in Canada provides a unique setting in which to examine market discipline along with the prospects of proposed reforms because Canada has no history of government bailouts, and an implicit government guarantee has been in effect consistently since the 1920s. We find that large banks have a funding advantage over small banks after controlling for bank-specific and market risk factors. Large banks on average pay 80 basis points and 70 basis points less, respectively, on their deposits and subordinated debt. Working with hand-collected market data on debt issues by large banks, we also find that market discipline exists for subordinated debt and not for senior debt.

The inception of AI-based fraud detection systems has presented the banking sector across the globe the opportunity to enhance fraud prevention mechanisms. However, the extent of adoption in Nigeria has been slow, fragmented, and inconsistent due to high cost of implementation and lack of technical expertise. This study seeks to investigate extent of adoption and determinants of AI-driven fraud detection systems in Nigerian banks. This study adopted a cross-sectional survey research design. Data were extracted from primary sources through structured questionnaire based on 5-point Likert scale. The population of the study consist of 24 licensed banks in Nigeria. A purposive sampling technique was used to select 5 biggest banks based on market capitalization and customer base. The Ordered Logistic Regression (OLR) model was used to estimate the data. The results showed that top management support, IT infrastructure, regulatory compliance, staff competency and perceived effectiveness accelerate the uptake of AI-driven fraud detection systems adoption. However, high implementation cost discourages it. Therefore, the study recommended that banks should invest in modern and scalable IT systems that support the integration of AI tools; adopt open-source or cloud-based AI platforms that are cost-effective; embrace continuous professional development in AI, and fraud analytics for IT, fraud investigation, and risk management staff.

The cyberfraud techniques emerged as a significant threat to the banking sector in Nigeria. Bank customers have been losing their hard-earned funds to these measures due to a lack of sufficient awareness of the cyberfraud tactics and preventive measures. There has been an increased rate of loss recorded annually in the banking sector due to fraud. The banking sector in Nigeria recorded a loss to a tune amount of ₦17.6bn in 2023 amount higher than the budget allocation for education in most states of the country. Social engineering remains the persistent and predominant technique fraudsters employ to defraud bank customers in Nigeria. Phishing, identity theft, login credential theft, ATM card swap, and skimming are other techniques cybercriminals employ. This research paper aims to examine and analyze the modus operandi of these techniques and explore the strategic preventive measures that can be implemented by customers to mitigate these risks, such as using advanced cybersecurity technologies, multi-factor authentication systems, employee training, as well as regulatory controls. The paper highlights the significance of a proactive and adaptive cybersecurity posture, continuous monitoring, and collaboration with regulatory bodies to enhance the resilience of the banking sector against cyber threats. The research focuses more on cyberfrauds targeting bank customers, and secondary data will be used for research purposes.

In last few decades large technology development raised various new needs. Financial sector has also no exception. People are approaching all over the world to fulfill there dreams. Any sector needs to understand changing need of customer. In order to satisfy financial need for customer banks are taking help of new technology such as internet. Only problem remain is of security. The aim of this work is to provide a secure environment in terms of security for transaction by various ways. In order to improve security we are making use of "Steganography" technique in the way never used before. Task of enhancing security include construction of formula for both data encryption and also for hiding pattern. Server should not process any fake request hence concept of custom "Session id" and "Request id" is introduced. Implementation of such a security constraints in banking sector not only help to serve customer in better way but also make customer confident and satisfy.

The fourth industrial revolution promotes the integration of Information Technology (IT) and strategic resources. New IT demands and uses have been leading to changes in business processes and corporate governance. Lately, the financial industry has adopted a new integrated banking model known as Open Banking (OB) and the advent of cryptocurrencies has led to the Digital Economy (DE) materialization. Considering these facts, this paper expects to point out through literature review some IT enabling factors that allow the conception of a new industry design (or governance) specifically in the financial industry illustrated by the cases of the Open Banking and Digital Economy. This paper is structured mostly on literature review, accompanied by results, discussions, and finally, conclusions are presented. It was found five potential enabling factors. Keywords: Digital Economy, Information Technology (IT), Open Banking.

This theoretical model contains concept, equations, and graphical results for venture banking. A system of 27 equations describes the behavior of the venture-bank and underwriter system allowing phase-space type graphs that show where profits and losses occur. These results confirm and expand those obtained from the original spreadsheet based model. An example investment in a castle at a loss is provided to clarify concept. This model requires that all investments are in enterprises that create new utility value. The assessed utility value created is the new money out of which the venture bank and underwriter are paid. The model presented chooses parameters that ensure that the venture-bank experiences losses before the underwriter does. Parameters are: DIN Premium, 0.05; Clawback lien fraction, 0.77; Clawback bonds and equity futures discount, 1.5 x (USA 12 month LIBOR); Range of clawback bonds sold, 0 to 100%; Range of equity futures sold 0 to 70%.