Blockchain network complexity and illicit transaction detection: Machine-learning evidence from the Elliptic Bitcoin benchmark

Adopting International Financial Reporting 9 is critically relevant as it significantly transforms accounting practices, particularly in credit risk management, for banks in Jordan. The primary purpose of this study is to examine the impact of implementing International Financial Reporting 9 on the financial performance and credit risk management practices of Jordanian banks. A quantitative analysis was conducted using the Difference-in-Differences approach and Fixed Effects models on data from 19 banks operating between 2012 and 2022.
The results indicate that the adoption of International Financial Reporting 9 led to a substantial increase in loan loss provisions, with a mean increase of 0.25 (t-value = 18.00). This increase in loan loss provisions negatively affected profitability metrics such as Return on Assets and Return on Equity, which showed mean decreases of 0.0857 (t-value = 4.22) post-implementation. Despite the negative impact on profitability, the findings also highlight improvements in financial transparency and stability due to more accurate credit risk assessment.
While the adoption of International Financial Reporting 9 imposes operational and financial challenges, it enhances the robustness and clarity of financial reporting in Jordanian banks.

The purpose of this article is to analyze the effect that halving has on the fair market value of bitcoins. The main hypothesis of the study is that the decline in the cost of miners’ remuneration for mining is a significant factor that affects the price of cryptocurrencies. The article examines the factors that regulate the issuing process. The significance of a limited supply of bitcoin is detailed in the article, as well as the mechanism for the implementation of the issue of new bitcoins. The study compares the historical inflation data of the US dollar and the projected data on the inflation of bitcoin. The article analyzes the main technical element of cryptocurrency – halving – when the miner’s reward is halved. This analysis includes the mathematical methods of statistical data processing. Research results show that reducing remuneration by half every four years leads to an increased market value of the cryptocurrency. This relationship is clearly illustrated by the Kendall rank correlation method. The results of the study can have a significant impact on the fundamental assessment of bitcoin and can also enable investors to assess any of the existing and operating cryptocurrencies according to this method.

The emergence of Bitcoin in 2009 has received considerable attention surrounding the validity of cryptocurrencies as a viable and, in some jurisdictions, a legal currency alternative. Despite widespread concern that these cryptocurrencies are fostering the environment within which a substantial bubble can occur, it is important to analyze whether these new assets are behaving similarly to major international currencies. This paper investigates the effects of international monetary policy changes on bitcoin returns using a GARCH (1.1) estimation model. The results indicate that monetary policy decisions based on interest rates taken by the Federal Open Market Committee in the United States significantly impact upon bitcoin returns. After controlling for international effects, we find significant evidence of volatility effects driven by United States, European Union, United Kingdom and Japanese quantitative easing announcements. These results show that, despite its nature and ideals, bitcoin seems to be subject to the same economic factors as traditional fiat currencies, and is not entirely unaffected by government policies. This result has implications for investors using bitcoin as a hedging or diversification tool. In addition, we contribute to the existing debate regarding the classification of bitcoin as an asset class, by illustrating that bitcoin volatility exhibits various reactions that bear resemblance to both currency pairs and store-of-value assets.