Bank of Korea Proposes Banking Sector Stablecoin Issuance, Deposit Token Reserves
- Bias Rating
- Reliability
40% ReliableAverage
- Policy Leaning
6% Center
- Politician Portrayal
N/A
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Bias Score Analysis
The A.I. bias rating includes policy and politician portrayal leanings based on the author’s tone found in the article using machine learning. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral.
Sentiments
7% Positive
- Liberal
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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-100%
Liberal
100%
Conservative
Contributing sentiments towards policy:
57% : "Deposit tokens can realize the potential of won-stablecoins -- such as programmability, peer-to-peer payments, and support for tokenized asset settlements -- while suppressing evasion of capital and foreign exchange regulations," the Bank of Korea explained.55% : According to the Bank of Korea, major economies like the U.S. and the European Union (EU) are also designing policies to restrict or ban interest payments on stablecoins.
54% : "The issues mentioned earlier could largely be managed under the current regulatory framework if banks become the issuers of stablecoins or if issuance is pursued through a banking-sector-led consortium," the central bank stated.
41% : Risks include ▲ "depegging" (loss of value linkage) ▲ digital bank runs ▲ gaps in consumer protection ▲ violations of the principle separating financial and industrial capital ▲ circumvention of foreign exchange and capital regulations ▲ weakened monetary policy effectiveness ▲ and diminished intermediary functions.
40% : This is because banks are already subject to strict capital, foreign exchange, and anti-money laundering (AML) regulations, which could minimize risks associated with stablecoin adoption.
*Our bias meter rating uses data science including sentiment analysis, machine learning and our proprietary algorithm for determining biases in news articles. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral. The rating is an independent analysis and is not affiliated nor sponsored by the news source or any other organization.
