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Many information systems' incidents result from inadequate protection of information assets. Assets classification and risks assessment procedures will no doubt help to identify the associated risks related to information systems for a better security control. In the banking industry, prior research and studies are rather lacking due to the nature of maintaining confidentiality. The purpose of this study is to develop an approach to classify information assets of financial institutions and also assess their corresponding risks. Delphi method was adopted and questionnaires based on the guidelines of the well-recognized standard of ISO/IEC 27001 were developed subsequently. A total of 99 information assets subject to security breaches are chosen for risks assessment and a panel of seven experts is invited to complete questionnaires. Consequently, a model for calculating the risk index is proposed according to an exponential scale ranging over 9 grades. The results reveal that three types of information assets exposed to a high level of risk warrant special protection. The experts also make some security enhancement suggestions for the assets with a risk grade ? 6. Aiming to enrich research literature on the risks assessment of information assets in the banking industry, the results of this study can provide a valuable reference for both academia and security practitioners.

A higher tax burden in individual countries need not always deter investors from investing profitably. Countries use tax burden levels in the form of changes in tax rates to attract foreign investment. The main objective of this study is to examine the tax competitiveness of the Slovak Republic compared to European Union (EU) countries (EU-27) and to evaluate the origin, extent, and form of investments from foreign investors in tangible and intangible assets in the Slovak Republic. To meet this objective, we first calculate the average tax rate for specific crossborder investments coming to Slovakia from all EU countries. To determine tax competitiveness, we compare the calculated effective average tax rate (EATR) with the EATR in individual EU countries. Finally, we perform an analysis of EATR and foreign direct investment (FDI) using cluster analysis, which categorises EU countries and evaluates their tax competitiveness. The analysis and comparison of values are conducted for the year 2019, while the countries are divided into old (EU-15) and new (EU-12) EU member countries. The article concludes that the calculated Slovak EART for cross-border investment is more profitable for old EU member countries and is, thus, more tax-competitive versus investors’ countries of origin. We can further state that the tax burden is among the most important indicators for investors and, thus, a lower EATR value than that in an investor’s country of origin contributes to the inflow of equity participation of FDI in Slovakia.

This paper shows that banks use accounting discretion to overstate the value of distressed assets. Banks' balance sheets overvalue real estate-related assets compared to the market value of these assets, especially during the U.S. mortgage crisis. Share prices of banks with large exposure to mortgage-backed securities also react favorably to recent changes in accounting rules that relax fair-value accounting, and these banks provision less for bad loans. Furthermore, distressed banks use discretion in the classification of mortgage-backed securities to inflate their books. Our results indicate that banks' balance sheets offer a distorted view of the financial health of the banks.

In recent years, the IMF has released a growing number of reports and other documents covering economic and financial developments and trends in member countries.

Extent ecosystems of crypto financial assets (crypto-assets) lack parity and coherence across the globe. This asymmetry is further heightened with a knowledge gap in operational risk management, wherein the global landscape of crypto-assets is characterized by unprecedented external risks and internal vulnerabilities. In this study, we present a critical examination and comprehensive analysis of current crypto-asset operational guidelines across geographies. We benchmark these guidelines to the Basel Committee for Banking Supervision (BCBS) risk classification framework for crypto-assets, identifying gaps in the operations across organizations. We, hence, conceptualize a novel institutional framework which may help in understanding and mitigating the gaps in operational risks’ regulation of crypto-assets. Our proposed Crypto-asset Operational Risk Management (CORM) framework determines how operational risk associated with crypto-assets of financial institutions can be mitigated to respond to the increasing demand for crypto-assets, cross border payments, electronic money, and cryptocurrencies, across countries. Applicable to firms irrespective of their size and scale of operations, CORM aligns with global regulatory initiatives, facilitating compliance and fostering trust among stakeholders. Strengthening our argument of CORM’s applicability, we present its efficacy in the form of alternate hypothetical outcomes in two distinct real-life cases wherein crypto-asset exchanges succumbed to either external risks, such as hacking, or internal vulnerabilities. It paves the way for future regulatory response with a structured approach to addressing the unique operational risks associated with crypto-assets. The framework advocates for collaborative efforts among industry stakeholders, ensuring its adaptability to the rapidly evolving crypto landscape. It further contributes to the establishment of a more resilient and regulated financial ecosystem, inclusive of crypto-assets. By implementing CORM, institutions can navigate the complexities of crypto-assets while safeguarding their interests and promoting sustainable growth in the digital asset market.

In recent years, the IMF has released a growing number of reports and other documents covering economic and financial developments and trends in member countries.