Financial Times Article Rating

Learning British financial stability lessons

Oct 17, 2023 View Original Article
  • Bias Rating

    -50% Medium Liberal

  • Reliability

    65% ReliableFair

  • Policy Leaning

    50% Medium Conservative

  • Politician Portrayal

    N/A

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

Overall Sentiment

N/A

  •   Liberal
  •   Conservative
SentenceSentimentBias
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Bias Meter

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-100%
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100%
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Bias Meter

Contributing sentiments towards policy:

53% : However, if they continue to do so, we would recommend that all regulation and supervision, functional as well as administrative, be completely removed from the regional banks and placed under the FPC.Placing regulation and supervision under an FPC could help ensure that bank examiners are overseen in Washington by a committee comprised of experts in the fields of regulation and financial stability.
45% : This would leave regulation and supervision with the Fed, but strengthen and elevate its importance in decision-making. .
44% : This could be accomplished by placing the Fed's monetary policy responsibilities under a newly constituted, seven-member Monetary Policy Committee (MPC) and placing regulation and supervision under a separate, seven-member Financial Policy Committee (FPC).
36% : While regional bank boards have no role in setting regulatory or supervisory policy, the optics of bank executives serving on them undermine public confidence and inevitably lead to speculation that their presence compromises bank oversight.
33% : Capital and liquidity stress tests continue to treat government securities as risk-free and highly liquid.

*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.

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