Realising Central Banks’ Climate Ambitions Through Financial Stability Mandates by Paola D’Orazio, Lilit Popoyan

“…Abstract This paper discusses how financial stability governance has evolved and how central banks and financial regulators are coping with the threats posed by climate uncertainty, providing an overview of G20 countries’ green central banking experiences in the past 20 years. …”
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Overview of retail investment instruments of the Russian economy by M. E. Kosov

“…The analysis of the essence, trends, opportunities, and risks of the retail investment instruments will allow us to assess the effectiveness of the activities of financial regulators in this area and identify promising and appropriate areas for its improvement.…”
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Crisis Monitoring in Financial Sectors Using CAMEL Partial Triadic Analysis Model by Rody Guzman-Garzon, Purificacion Galindo-Villardon, Purificacion Vicente-Galindo

“…By analyzing symmetries in data matrices and quantifying vector correlations, the model provides detailed insight into financial trends during recessionary periods, which is useful for financial regulators, public policy makers, and private banking institutions. …”
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AKPIN fintech application as one of the drivers for non-state pension system development by E. V. Knyazev, M. L. Dorofeev

“…Due to continuous monitoring of the news background, financial regulators’ actions, financial indicators and changes in legislation, the application can offer up-to-date recommendations and assist users in making effective individual decisions in the area of pension savings management for citizens of the Russian Federation.…”
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FINANCIAL INCLUSION AS A PARADOX FOR ECONOMIC GROWTH IN NIGERIA by Majeed Ajibola IBRAHIM, Olawale DADA, Kayode Abdul-Ganiyu AKANBI, Lateef Kayode JAJI

“…Therefore, it was recommended that financial regulators should request for comprehensive and adequate policy guidance that will encourage financial inter-mediation across board as this will no doubt foster economy growth. …”
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Can the Implied Information of Options Predict the Liquidity of Stock Market? A Data-Driven Research Based on SSE 50ETF Options by Hairong Cui, Jinfeng Fei, Xunfa Lu

“…By extracting the information of options price, investors and financial regulators can scientifically participate in the financial market under data guidance.…”
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Analisis Implementasi Pola Pengelolaan Keuangan Badan Layanan Umum Daerah pada Rumah Sakit Umum Daerah Dr. RM. Djoelham Binjai by Bambang Azis Silalahi, Marlon Sihombing, Isnaini Isnaini

“…Djoelham Binjai, there was a change where previously the budget management, finance and reporting processes, which had been purely based on financial regulations with the APBD mechanism. However, with the implementation of PPK-BLUD, all the income that the RSUD Dr. …”
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What could make seaports more committed to air quality? A qualitative content analysis of key barriers, drivers, and enablers by Flóra Zsuzsanna Gulyás, Aseem Kinra

“…The enabling factors were grouped into economic-financial, regulations and policies, informational, professional, and training categories. …”
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Blockchain and cloud platforms in banking services: A paradox perspective by Piotr Łasak, Sławomir Wyciślak

“…The research findings can be informative for financial regulators and they help work out a policy that reduces the asymmetry of benefits and contributes to the more sustainable development of digital platforms. …”
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Detection method of mixed coin transaction based on CoinJoin——take the Wasabi platform as an example by Hu LI, Yunfang CHEN, Wei ZHANG

“…Designed to enhance the privacy of user transactions, mixed coin technology has created disruptions to the address clustering rules typically used for cryptocurrency regulation.Consequently, hackers have begun utilizing mixed coin technology as a tool for money laundering and fund evasion, which has raised concerns among financial regulators regarding the detection of mixed coin transactions.Currently, most detection methods for mixed coin transactions rely on data analysis and statistics, lacking a comprehensive understanding of the internal workings of these transactions.This lack of knowledge may undermine the credibility and effectiveness of detection methods due to the absence of reliable verification data.CoinJoin, a decentralized mixed coin concept, represents one approach, and commercial implementations like Wasabi have gained popularity.Drawing from the characteristics of CoinJoin and its restriction on the size of anonymous transaction sets and mixed coin amounts, a general detection method for CoinJoin mixed coin transactions was devised.Such transactions typically involved multiple inputs and outputs, with more output items than UTXOs in the input, and a high occurrence of duplicate values among the output amounts.A basic detection method for Wasabi was developed by combining the generic detection method for CoinJoin with specific features of Wasabi, as identified in related studies, to complete the detection process.A trusted validation dataset was acquired from the Wasabi platform service interface, and this dataset was analyzed to achieve two objectives.First, the alignment of rule parameters in the Wasabi base detection method was accomplished.Second, a new metric was proposed, measuring the ratio of the highest frequency of duplicate values in the output amount of transactions to the number of UTXOs in the input.This metric assessed the level of user participation in mixed coin transactions, providing a measure of user freedom.Using these two approaches, significant progress is made in the detection of mixed coin transactions.The experiments show that the recall rate of Wasabi’s basic detection method is 94.2% and the accuracy rate is 67.2%.After the analytical feedback from the credible validation dataset, the recall rate of the improved detection method reaches 100% and the accuracy rate is above 99%.The total market size of the entire CoinJoin type of mixed coin transactions was evaluated and predicted based on a common test methodology.It is concluded that the number of CoinJoin mixed coin transactions in today’s mixed coin market represents 1.9 per 1 000 of all Bitcoin transactions and 3.7 per 1 000 of the transaction value at most.…”
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