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Illegal wildlife trade (IWT) is a transnational organized crime that generates billions in criminal proceeds each year. Yet, it is not regarded by many countries as a serious crime. There is also no general consensus on its recognition as a predicate offence for money laundering. In this regard, banks are misused in different ways to facilitate financial flows linked to IWT. This paper aims to illustrate the importance of the banking sector in combating money laundering relating to IWT. It also aims to demonstrate the need for a general recognition of IWT as a predicate offence for money laundering.

This study investigates the implementation of money laundering controls by banks in the illegal-wildlife-trade context. As background to this investigation, it provides an overview of IWT, which is followed by an exploration of some of the general characteristics of the banking sector, before discussing the relevant Financial Action Task Force (FATF) recommendations.

This study finds that the banking sector is well-placed to combat money laundering relating to the IWT and is, by virtue of its international nature and strong focus on compliance, able to be effective in preventing the use of the proceeds of IWT as well as in identifying broader trafficking networks. Moreover, the banking sector is well-equipped to develop appropriate platforms to facilitate the swift, easy and effective sharing of financial intelligence between banks at the local, regional and especially international level.

This study draws on publicly available information on financial flows relating to IWT. Little data and research are available on the financial flows and consequently the money laundering techniques used in cases suspected of IWT.

There has been little scholarly research on the relationship between money laundering and the IWT as well as the financial flows of IWT in general. This study highlights some of the money laundering techniques used in relation to IWT by drawing on the works of various international organizations, including the FATF.

The purpose of this study is to examine the South African banks’ customer due diligence (CDD) practices in the fintech era to mitigate money laundering (ML) risks and ensure financial stability. Financial technologies have brought substantial transformations to the financial services sector. However, such technologies have exposed the sector to emerging risks that threaten the integrity and stability of the financial system globally. Before any bank–customer relationship is established, proper customer background checks must be conducted. These background checks enable financial institutions to validate information provided and ensure customers are properly risk profiled. Failure to risk profile customers could result in financial institutions being used as conduits for ML. Undoubtedly, CDD procedures are pivotal to overall anti-money laundering efforts and curbing financing terrorism in a regulatory framework.

A qualitative research approach was adopted to address the research questions of the study. Given the confidentiality associated with the financial services sector, data triangulation was used in blending mainly secondary and primary data sources. Secondary data sources used in the study were published reports available in the public domain that were corroborated with subject matter experts’ interviews.

Based on the findings of this study, it is concluded that in South Africa, technological solutions have been incorporated into CDD functions, which is now risk-based (enhanced due diligence). Also, legally, South Africa has incorporated the biometrics, integration with Department of Home Affairs and Companies and Intellectual Property Commission databases, customer consent to third-party sources with the Financial Intelligence Centre Act and the Protection of Personal Information Act.

The shift towards digital banking in South Africa results in increased data and dynamic risk profiling. This study advocates a policy shift requiring a risk-based approach to mitigating emerging ML risks (in particular digital laundering), especially in the wake of South Africa’s recent greylisting by the Financial Action Task Force.

The European Parliament and Commission are considering introducing a green supporting factor (GSF) or brown penalty (BP) for capital reserve requirements. This paper aims to estimate the potential impact such a policy intervention may have on both capital reserves of European banks and the cost and availability of capital to “green” and “brown” investments.

The paper draws on the existing empirical and theoretical literature on the impacts of changes to capital reserve requirements on the real economy. It applies these estimates on the particular policy intervention currently being discussed at EU level to estimate the potential range of impacts on the cost of capital – measured in basis points – and the availability of capital – measured in per cent changes to lending.

A GSF would have a limited effect on overall capital requirements of banks compared to a BP – given the larger universe of assets on which such a penalty would be applied. The estimated effect is a reduction in capital requirements associated with a GSF of around €3-4bn based on baseline “green” definitions. In terms of cost of capital, the paper estimates a reduction of 5 to 26 basis points for green projects (with inverse expected effects for a BP). In terms of availability of capital, analysing a BP suggests a potential reduction in lending to brown assets of up to 8 per cent.

The paper provides direct evidence, with the first quantitative analysis of the potential impact of the current policy proposition discussed at EU-level.

This paper aims to obtain a recent estimate of the cost of precautionary foreign reserve accumulation that emerging market and developing economies (EMDEs) had to endure to protect themselves against the risks of financial globalization. In addition, the study estimates the cost of excess reserves in emerging market economies (EMEs) using various reserve adequacy indicators that reflect potential sources of foreign exchange drains and vulnerability in EMEs' balance of payments.

This paper begins by explaining the accumulation of foreign reserves in EMDEs as a self-protection strategy against the risks of financial globalization. Next, it sheds light on the different types of economic costs of foreign reserve accumulation. Finally, it estimates the cost of foreign reserve accumulation in EMEs during the period (1990–2018) and in EMDEs during the period (1990–2015) due to data availability.

Results indicate that the cost of accumulating foreign reserves as a self-protection strategy in EMDEs and EMEs' was huge compared to their development financing needs. Applying various reserve adequacy measures demonstrates that many of the EMEs were holding inadequate precautionary reserves in 2018. Actually, this reflects the significant increase in external short term debt that many of the EMEs have witnessed since the eruption of the global financial crisis (2008). Thus increasing reserves in EMEs with weak reserve buffers and higher external debt is critical as they are more vulnerable to external shocks and capital flow reversals. Also given the estimated huge costs of accumulating foreign reserves, EMDEs should accompany it by other complementary self-protection policies and liquidity management policies to free up resources for productive investment.

The study contributes to the literature by estimating the cost of precautionary foreign reserve accumulation imposed on EMDEs during an extended period of time that covers a decade after the onset of the global financial crisis. Also to the authors' knowledge, this is the first study that estimates the cost of excess reserves in EMEs using various reserve adequacy indicators including the International Monetary Fund (IMF) assessing reserve adequacy (ARA) approach.

This paper examines the effectiveness of the three macro-prudential measures introduced by the Korean government in 2010 and 2011: (i) introduction of limit for FX forward positions of domestic banks and foreign bank branches, (ii) reintroduction of tax on foreign investors' earnings from Korean government bonds, and (iii) imposition of macro-prudential stability levy on non-deposit foreign currency liabilities appeared in bank balance sheets. The results show that the three measures were not successful: The limits of FX forward position did not lead to the decrease in foreign borrowings. The reintroduction of the tax did not reduce foreign investments in Korean government bonds. Lastly, the levy on non-deposit foreign currency liabilities did not lower the foreign borrowings from the banks and did not result in more financing through deposits for banks. The ineffectiveness of the capital flow management system in controling the amount of foreign capital flows implies that the system might not be effective in mitigating the pressure on exchange rate caused by excessive volatility of foreign capital flows.

The purpose of the paper is to examine the differences in the impact of financial stress in advanced and emerging economies.

The authors employ a panel vector autoregression model (PVAR) for a comparative analysis of the relationship between financial stress, economic growth and monetary stability in 14 advanced and emerging economies. A homogeneous measure of financial stress is constructed and measured as an index that provides signals of stress episodes in an economy.

The impact of financial stress shocks is greater on the economic growth of advanced economies; likewise, financial stress shocks are significant only in advanced economies. The interbank interest rate is negatively affected by financial stress in emerging economies. In general, the results show a clear view of the importance of financial stability and the economic relevance of financial stress measures in the context of macro-prudential regulation.

The results can be extended to monetary policy to implement measures that mitigate the impact of future financial crises.

This paper empirically investigates whether trade openness (TO) in Brazil, Russia, India, China and South Africa (BRICS) countries affects how banks might employ loan loss provisions (LLPs) to smooth out their earnings and how adopting the International Financial Reporting Standards (IFRS) can mitigate it.

The analysis includes 78 commercial banks from five BRICS nations and spans 2014 through 2020. To test these hypotheses, the authors utilized a fixed-effect and two-step system panel generalized methods of moments (GMM) estimator.

TO positively affects income smoothing (earnings management) across BRICS commercial banks. The effect is clearer in banks that make financial reports under the IFRS. Path analysis reveals that the effect of TO is driven by nonperforming loans (NPLs). Additionally, the IFRS restricts earnings management in the BRICS banking sector when a better institutional environment is present. The authors found that accounting rules (IFRS) and enforcement (better institutional settings) interact to enhance earnings’ quality.

The relationship between TO and bank earnings management practices is important for understanding the complex interplay between trade and finance and ensuring financial stability, investor confidence and regulatory compliance. This study recommends better regulations and governance mechanisms for financial reports in emerging nations like BRICS. Additionally, macro-prudential regulators and banking supervisors should work closely to ensure transparent TO decisions with improved discipline, institutional quality and regulatory support to enhance bank stability.

The study finds evidence of bank income smoothing in the BRICS and introduces TO as a determinant. It also identifies the evolving role of IFRS in the presence of higher institutional quality and TO, thereby expanding the financial reporting literature.

This study aims to capture the “persistence effect” of credit risk in Indian banking industry using the bank-level data spanning over the period of 19 years from 1998/1999 to 2016/17. Alongside, the study explored how the bank-specific, industry-specific, macroeconomic variables alongside regulatory reforms, ownership changes and financial crisis affect the bank's asset quality in India.

Using two-step system generalized method of moment (GMM) approach, the study derives key factors that affect the bank's asset quality in India.

The empirical results confirm the time persistence of credit risk among Indian banks during study period. This reflects that bank defaults are expected to increase in the current year, if it had increased past year due to time lag involved in the process of recovery of past dues. Further, higher profitability, better managerial efficiency, more diversified income from nontraditional activities, optimal size of banks, proper credit screening and monitoring and adherence regulatory norms would help in improving the credit quality of Indian banks.

The practical implication drawn from the study is that nonaccumulation of nonperforming loans (NPLs), higher profitability, better managerial efficiency, more diversified income from nontraditional activities, optimal size of banks, proper credit screening and monitoring and adherence regulatory norms would help in improving the credit quality of Indian banks.

This study is probably the first one that identifies in addition to the current year, whether lag of bank industry-macroeconomic affects the level of NPLs of Indian banks. So far, such an analysis has received less attention with respect to Indian banking industry, especially immediate aftermath of the global financial crisis.

Discretionary accruals are earnings quality proxies that illustrate that the greater the value of discretionary accruals, the greater the practice of earnings management and vice versa. High-quality financial reports (especially earnings quality) are expected to help investors and potential investors to make decisions. This study analyses the factors that affect earnings quality, such as pre-managed earnings, liquidity and efficiency. Furthermore, the authors identify the moderating effect of the governance mechanisms proxied by the proportion of independent commissioners in conventional commercial banks listed on the Indonesia Stock Exchange.

This study uses 226 banking data in the pre-corona crisis period 2013 until 2019. The data were analyzed using EViews 10 for hypothesis and MS Excel for a differential test.

The results show that pre-managed earnings, liquidity and efficiency affect earnings quality. The governance mechanisms can moderate liquidity and efficiency on earnings quality, while pre-managed earnings cannot be moderated. The different bank categories (BUKU) of earnings management mechanisms are shown for each BUKU (BUKU 1, 3 and 4 perform earnings management by increasing earnings, BUKU 2 lowering earnings). Another thing is information on the earnings quality between BUKU 2 with BUKU 3 and BUKU 4 because of differences in capital and bank operating coverage regulations.

Further research expects to analyze the factors affecting banking earnings quality concerning applying IFRS 9 (PSAK 71) in Indonesia. Future researchers expect to apply mixed methods to verify the financial statement data and provide comprehensive discussion and genuine insight from their study. Future research requires more samples from companies or an international scale (cross country) to obtain maximum results and be generally accepted.

This study implies that managers should have more control over pre-managed earnings and bank liquidity as manager's incentive to do earnings smoothing. Managers should also pay attention to cost-efficiency and effective implementation of governance mechanisms to maximize earnings quality. This study also implies that policymakers can encourage commercial banks to apply more prudential principles in terms of a reserve for failed loans to minimize earnings management in banking.

The significance of this study revealed in the discussion of the difference test between bank core capital categories (BUKU) and its relation to earnings quality.

This study aims to test the dynamic impact of public debt and economic growth on newly democratized African countries (South Africa and Namibia) and compare the findings with those of newly democratized European countries (Germany and Ukraine) during the period 1990–2022.

The methodology involves three stages: identifying the appropriate transition variable, assessing the linearity between public debt and economic growth and selecting the order m of the transition function. The linearity test helps identify the nature of relationships between public debt and economic growth. The wild cluster bootstrap-Lagrange Multiplier test is used to evaluate the model’s appropriateness. All these tests would be executed using the Lagrange Multiplier type of test.

The results signify the policy switch, as the authors find that the relationship between public debt and economic growth is characterized by two transitions that symbolize that the current stage of the relationship is beyond the U-shape; however, an S-shape. The results show that for newly democratized African countries, the threshold during the first waves was 50% of GDP, represented by a U-shape, which then transits to an inverted U-shape with a threshold of 65% of GDP. Then, for the European case, it was 60% of GDP, which is now 72% of GDP.

The findings suggest that an escalating level of public debt has a negative impact on economic growth; therefore, it is important to implement fiscal discipline, prioritize government spending and reduce reliance on debt financing. This can be achieved by focusing on revenue generation, implementing effective taxation policies, reducing wasteful expenditures and promoting investment and productivity-enhancing measures.