National Assembly Budget Office analyzes effects of introducing KRW stablecoin… concerns over foreign exchange market impact
Ethereum also traded around $2,510, shifting from a bearish trend last week to a bullish one this week.
This market movement is interpreted as a continuation of the bullish trend observed since the approval of Bitcoin spot ETFs.
A clear inflow of funds from large institutional investors has been observed over the past three weeks. US Bitcoin ETFs saw net inflows of $250 million two weeks ago and $680 million last week, maintaining a bullish trend.
This indicates a gradual expansion of institutional investors' participation in the virtual asset market.
This signifies a phenomenon where the short-term average price crosses above the long-term average price, interpreted as a clear rebound signal.
Such technical analysis acts as a factor providing positive investment sentiment to market participants.
This sudden outflow is acting as a pessimistic signal for the market.
Ethereum ETFs also recorded $24.29 million in outflows, negatively impacting overall investment sentiment in the virtual asset market.
This is the first report issued by a national research institution on KRW stablecoins.
The report identifies payment fee reduction as a core benefit of introducing KRW stablecoins, suggesting potential tangible benefits for self-employed individuals.
These savings are expected to greatly benefit self-employed individuals and small business owners.
In June, the transaction volume of stablecoins on Korea's top five KRW exchanges was approximately 6 trillion won.
The rise in domestic dollar stablecoins acts as a new variable for the won-dollar exchange rate, increasing concerns about financial stability.
Discussions are particularly active on how much equity a bank consortium should be mandated to hold in the issuer.
Furthermore, devising measures to minimize financial shocks that may arise depending on how the dominance of crypto exchanges is structured is identified as an important task.
While AI can accurately predict market direction, achieving performance through actual orders was analyzed as a separate issue.
This is because excess returns from AI tend to diminish due to transaction costs and strategy overlap.
AI models trained on stock market data may be unsuitable for the complex environment of the crypto market. The crypto market is open 24 hours, with scattered exchanges, gas fees, derivatives, and other new market environment variables that AI has not learned.
This lack of learning creates discrepancies between AI's past simulation results and actual operational data, increasing investment risk.
Answers come from the transcript, with the exact spot cited.
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