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The principal issue that will be considered in this chapter is how the banking sector facilitates the crimes of money laundering and tax evasion. This will entail asking a series of related questions. Does the assistance of the banking sector in financial crime involve a small number of wayward employees at the periphery of banking? Or are multinational financial institutions willing participants in the systemic evasion of global antifinancial crime standards? In exploring these questions, the theory and practice of money laundering will be explored by focusing on the three stages of the money laundering cycle. The global anti-money laundering standards that apply to the banking sector, and the role of bank secrecy in promoting tax evasion, will be examined through a series of case studies. It will be argued that there is strong empirical evidence that the banking sector is a systemic offender facilitating financial crimes, despite the enactment of international and national antifinancial crime standards and criminal prosecutions of financial institutions.

Over the last decade, foreign currency indebtedness in Hungary has become a systemic financial problem, and its crippling impact on the real economy has been aggravated by its significant constraints on economic policy. In international comparative terms, however, there are certain specific features relating to Hungary which make this issue particularly problematic, and during the financial crisis both exchange rates and interest rates were important factors in increasing the burden on individual households. We present here a case study whereby our research focuses on the causes and determining factors of the pricing of Swiss franc-denominated mortgage loans. Our empirical exercise examines four potential price shocks which might have affected the pricing decisions of credit institutions: foreign currency interest rates, the country risk premiums (measured by Credit Default Swap (CDS) spread), the deteriorating quality of the loan portfolio and the taxes levied on banks. The questions which arise concern the relationship of these costs to the changes in interest rates and the extent to which these cost shocks were passed on by banks to their clients. Empirical evidence based on Vector Error Correction Model (VECM) shows a significant long-run relationship between cost factors and CHF denominated mortgage loans interest rates — with a reasonable sign and magnitude of parameters, but also with moderate forecasting power. Finding a tractable solution to the foreign currency debt trap is only possible if a fair distribution of burdens is achieved, and this should be supported by empirical facts. At the end of the day, all three affected parties (debtors, banks, and the Hungarian State) had made their contribution, but how fair and reasonable the distribution was remains an open issue for further research.

A commonly misunderstood characteristic of ERM in Switzerland is that it is perceived as a risk minimization tool. However, ERM is about controlling an ideal risk exposure level to pursue strategic objectives. ERM has emerged as an important business topic in Switzerland. As major challenges still pose a threat to successful ERM implementation, this study provides some causes for reflection on how to implement ERM model in order to gain a comprehensive view on all risks, opportunities and their respective interdependencies. Moreover, this study suggests policy makers to think about how to strengthen risk-based disclosures in the future.

This chapter reviews developments concerning central bank digital currencies (CBDCs). It introduces, analyzes, and discusses the potential implications of CBDCs on the existing cryptoassets landscape. The chapter also provides an overview of the different approaches to adopting and implementing this new form of money. Additionally, it compares traditional cryptocurrencies, privately issued stablecoins, fiat currencies, and CBDCs. Although vastly divergent opinions exist on digital money’s purpose, benefits, and use cases, CBDCs can provide opportunities for innovation and experimentation at a central bank and systemic level. CBDCs may pave the way for democratizing access to unbundled financial services while rethinking the overall purpose of money, monetary systems, and global business.

There has been a financial revolution lead by technology firms over the past decade. Many large established technology giants, from Google, Apple to Amazon in the US are entering the financial service industry. Smaller start-ups, in particular, robotic advisors, a.k.a. robo-advisors have been taking market shares from traditional asset management firms. In China, firms like Tencent and Alibaba have created a whole new field of online finance. The center of our study is a critical examination of the essential components of the financial innovation over the past 10 years. Mobile banking was the beginning, followed by trading, investment, and insurance business. Artificial intelligence and machine learning are included for discussion in this chapter. Our goal is to develop a thorough understanding of the art and science of financial innovation, from both bottom-up market indicators and a top-down holistic view. Then, we apply to the situation in Russia. We want to demonstrate that the technological changes are likely to have a significant impact on Russia’s sustainable finance and banking development.

Remittances in the former Soviet Union have increased rapidly over the past decade. In some countries of the former Soviet Union, remittances have reached staggering levels. For example, in Armenia, Kyrgyzstan, Moldova, Tajikistan, and Uzbekistan remittances now account for over 10% of GDP, with Tajikistan leading the pack with annual remittances of approximately 40% of GDP. Remittances in this group of economies now exceed foreign direct investment and foreign assistance. Because this rapid rise in remittances is a relatively recent trend and obtaining reliable data is difficult, this area of research has been underexplored.

The aim of this paper is to provide a comprehensive review of existing remittance measurement methodologies. Moreover, we propose practical methods to adjust the Central Bank of Russia data to derive more accurate remittances estimates in selected countries of the former Soviet Union. These selected economies are major recipients of remittances among transition economies and account for as much as 10% of remittances worldwide. There have been attempts to provide this type of estimation in individual countries; however, there have been no studies, to our knowledge, that propose a general methodology for the region.

Purpose: The global financial services business has been transformed by Blockchain technology, making it safer and more efficient. Keeping this fact in mind, the authors will study how Blockchain technology improves financial services, including the banking and insurance sectors. The risks and roadblocks in the path of Blockchain adoption in financial services will also be discussed.

Need of the Study: Blockchain operates without any central authority. Instead, it could be understood as a transaction-containing ledger shared among many users. The adoption of Blockchain is gaining traction in every field, but still, a sense of doubt about its reliability can be observed among ordinary people. Thus, an investigation of the operational intricacies and technicalities could assist in clarifying the confusion associated with this technology.

Methodology: To achieve the aims mentioned above, an exploratory research design involving a review of the secondary data linked with the implementation and impact of Blockchain technology in the domain of finance is conducted.

Findings: The mode of operation of Blockchain technology is thoroughly explained, along with the influence it has exercised in the financial domain in recent years.

Practical Implications: The findings of this study can mainly assist global investors and users worldwide by clarifying the concept and operations of Blockchain technology. Also, it could guide future studies assessing the role of Blockchain in the financial domain.