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This paper examines the impact of Central Bank Digital Currencies (CBDCs), regulated stablecoins and tokenized traditional assets on the cryptocurrency market, following the guidelines set by the Basel Committee. This study aims to analyze the implications for secure storage, cross-border transfers and necessary investments.

The paper uses a policy analysis approach to assess the potential effects of the Basel Committee’s regulations on CBDCs, regulated stablecoins and tokenized traditional assets. It explores their impact on the cryptoasset market, strategies of central and commercial banks, payment systems and risk management.

The adoption of CBDCs, regulated stablecoins and tokenized traditional assets is expected to grow rapidly in the coming years. It raises concerns about secure storage, cross-border transfers and required investments. Central banks are likely to introduce CBDCs and authorize stablecoin issuance, aiming for efficient monetary policies and risk management. Basel III regulations may lead to asset tokenization by banks, reducing asset size and increasing fee-based income.

This paper provides insights into the potential impact of the Basel Committee's regulations on CBDCs, regulated stablecoins and tokenized traditional assets. It contributes to the understanding of the evolving cryptoasset market and the strategies of central and commercial banks in adopting these technologies. The findings offer valuable information for policymakers, regulators and market participants in navigating the changing landscape of digital assets.

This paper aims to examine the association between money laundering (ML)/terrorist financing (TF) risks (hereafter, money laundering risks) and democratic governance across 117 countries.

A cross-sectional design was used to examine the association between ML risks and democratic governance by a quantitative approach. The findings are based on annual ratings of 117 countries on ML/TF risks and democracy while controlling for criminality and peace. The data was compiled from the Basel Anti-Money Laundering/Countering Financing Terrorism Risks Index, the Economic Intelligence Unit (Democracy Index), the Global Initiative against Transnational Organized Crimes (Criminality Index) and the Institute for Economics and Peace Index for 2020.

A multiple linear regression model found a statistically significant negative association between democratic governance and ML risks (B = −0.354, t = −7.454, p = <0.001) and a significant positive association between criminality and ML risks (B = 0.242, t = 2.692, p = 0.008).

A cross-sectional design cannot determine causal inferences and generalization (Levin, 2006). The study only used a year to examine the hypothesis of a negative correlation between ML risks and democratic governance, thus making generalization difficult.

Extant literature examined ML, terrorism and AML diversely. There was a need to estimate the association between ML risks and democratic governance, especially globally, during a global crisis like COVID-19, when democratic principles, such as the rule of law, transparency and accountability, are challenged. Many personnel were laid off, thus limiting supervision for ML and TF. This study presents evidence of this association.

The new technology-enabled means to transfer funds or value via crypto assets have prompted regulators and supervisors to question the effectiveness of the anti-money laundering (AML) regulatory framework. This paper aims to examine the recent developments of the EU AML legislation – leading up to the 2021 AML package – focusing in particular on the banks’ internal governance obligations.

The analysis is based on the legal dogmatic methodology and is therefore conducted thanks to a critical exam of the current and upcoming EU policy and legislation, taking into account the relevant literature and case-law.

The recent regulatory developments, culminating in the AML regulation, are strengthening the causal links between ML risk assessment–ML risk exposure–ML risk management, via internal governance procedures. One of the major AML regulatory strategies to react to the new challenges brought up by crypto assets amounts to a stricter and more demanding AML risk management regime imposed on banks.

The originality of this article lies in the analysis of the causal connection between money laundering risk identification and internal governance obligations. In particular, this article examines how the risk assessment will be shaping the organizational procedures, processes and internal functions necessary to manage the money laundering risks.

This research aims to investigate the disciplinary functions of depositors and subordinated debt holders within Indonesia's dual banking system, examining the impact of regulatory changes on market discipline.

The study employs a comprehensive analysis of the dual banking system in Indonesia over 15 years. Utilizing a non-public dataset from the Financial Services Authority and the Indonesia Deposit Insurance Corporation, the study employs propensity score matching and difference-in-differences analysis.

The findings reveal distinct patterns in the exercise of market discipline by depositors over different regulatory regimes. During the blanket guarantee regime (2002–2005), depositors lacked the incentive to monitor banks but resumed their disciplinary role under the limited guarantee regime (2005–2017). Islamic banks faced simultaneous market and regulatory discipline, with market discipline prevailing.

This study contributes to the literature by providing novel insights into the interplay between regulatory changes, market discipline and depositor behavior within Indonesia's dual banking system. The utilization of a comprehensive non-public dataset from regulatory authorities adds to the originality of the research.

For over a decade, fintech has challenged traditional business models and processes in the financial services industry. The ongoing disruption has necessitated the digital transformation of financial institutions (FIs) to remain an integral part of the financial system. This paradigm shift is not merely a technological update. Still, it signifies a cultural and operational rebirth, compelling FIs to embrace innovation, adaptability, and a customer-centric approach in the digital era. Independent of the business model, FIs must become digitally ambidextrous, offer tailored and dynamic customer experiences, support financial inclusion, and promote an environmental, social, and governance (ESG) agenda while leveraging data and remaining compliant. From digitalization to fintegration, the financial services industry's future is deemed to be an exciting and productive one.

This chapter examines why the central banks might need to engage in innovation work. Externalities and public good rationales for innovation at central banks are examined. This chapter then looks at different tools such as sandboxes, innovation hubs and TechSprints that the central banks might use to promote innovation with external stakeholders, and how the central banks can promote internal innovation within the central banks. Governance issues related to innovation promotion are also examined.

The purpose of this study is to provide a timely synthesis of the empirical literature focusing on the economic consequences of money laundering, as this topic has been gaining momentum among policymakers and academic researchers due to its adverse effects.

Empirical studies are collected by consulting accounting and finance journals in diverse digital sources (e.g. Science Direct, Blackwell, Taylor and Francis, Springer, Sage and Emerald). Key words used to identify relevant papers include “money laundering” and “anti-money laundering regulations,” with specific focus on the economic consequences. Our search strategy includes 24 published papers over the period of 2018–2023.

Findings show that most studies represent cross-country investigations; the main topics investigated focus on accounting field (e.g. audit fees, real and accrual earnings management), tax evasion, financial stability, sustainability, economic indicators (inflation, economic growth, foreign direct investment) and financial inclusion; and the economic consequences of money laundering have been also examined within banking industry (e.g. banking profitability, banking stability). Reported findings of reviewed studies suggest that money laundering has diverse adverse impacts at the country level (e.g. increased tax evasion, higher inflation rate, less sustainability and foreign direct investments), at the firm level (e.g. increased audit risk and aggressive real and accrual earnings management) and within banking industry through negative impact of money laundering on bank’s loan portfolio quality, stability and profitability.

With respect to policymakers, strengthening anti-money laundering regulations may play a critical role in reducing money laundering activities. Furthermore, financial institutions should implement specific rules dealing with anti-money regulations to ensure adequate compliance and disclosure. Finally, policymakers should be aware about the importance of digital transformation to combat money laundering activities since it facilitates the detection of financial crimes due to their traceability.

The summary of the empirical literature focusing on the economic consequence of money laundering represents a historical record and an introduction for accounting researchers. It also urges them to further explore the economic implications of anti-money laundering disclosure within banking industry.

This study investigates the impact of corporate governance on FinTech disclosure levels in Jordanian conventional and Islamic banks. It aims to determine whether governance mechanisms affect disclosure practices in the FinTech sector, exploring the interplay between governance and transparency in financial innovations.

The research methodology entails a thorough analysis of data from all 15 Jordanian conventional and Islamic banks listed on the Amman Stock Exchange, covering the period from 2015 to 2022. This study uses manual content analysis using a custom FinTech Disclosure Index (FDI) and quantitative analysis with a two-way clustered error regression model.

The findings show that corporate governance mechanisms, particularly board size, board meetings and “Big4” audit firms, are crucial in enhancing FinTech disclosure across conventional and Islamic banks. However, Islamic banks consistently show higher disclosure levels than their conventional counterparts, attributed to their distinct governance structures that emphasize ethical governance and transparency. These results indicate an awareness among decision-makers about the importance of business model transformation toward FinTech.

This study pioneers the introduction of FDI, using it for a novel comparative analysis of FinTech disclosure levels between Islamic and conventional banks. By exploring how various governance structures influence FinTech disclosure, this research provides fresh insights into the interplay between corporate governance and financial technologies in the banking sector.

This chapter first reviews some of the background concepts on central bank digital currency (CBDC) to provide a broad context, before diving into wholesale CBDC often a starting point for central banks to build CBDC prototypes based on distributed ledger technology (DLT), as it involves less complexity in experimentation. This chapter also examines cross-border CBDC, often an extension of wholesale CBDC prototypes based on DLT. The next chapter will then discuss retail CBDC as well as the prospects of economy-wide roll out of CBDC going forward.

This study aims to estimate the amount of money laundering (ML) with multiple proxy approaches and measure the effects of ML on various indicators of the economic and financial sectors. Theoretical justifications are recruited from the parasite theory of organised crime.

A quantitative research methodology was used on a balanced panel data set to test the study’s hypothesis through generalised method of moment (GMM). The study sample consisted of 77 countries, and the data was collected for 15 years (2005–2019).

A study has found that 1.23% of global gross domestic product is laundered yearly, and there is no noticeable decline in ML activities. Further study has also found that ML has devastating effects on countries, government revenue, foreign investment, economic development, political and peace conditions, bank liquidity, interest rate volatility and exchange rate volatility. The study has not witnessed the negative consequence of ML on countries’ inflation rates.

Estimates of the study guide policymakers about the volume of resources fleeing and helps them to decide the level of response needed. Further findings help them prioritise the response system according to the area most affected.

This study is an original contribution by the authors and has studied the effects of ML by computing the amount of ML by four different proxies.