Yahoo News Article Rating

PIMCO Closed-End Funds Declare Monthly Common Share Distributions

Oct 04, 2022 View Original Article
  • Bias Rating

    -10% Center

  • Reliability

    N/AN/A

  • Policy Leaning

    22% Somewhat Conservative

  • Politician Portrayal

    -65% Negative

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

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  •   Conservative
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Bias Meter

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-100%
Liberal

100%
Conservative

Bias Meter

Contributing sentiments towards policy:

52% : It is important to note that differences exist between a Fund's daily internal accounting records and practices, the Fund's financial statements presented in accordance with U.S. GAAP, and recordkeeping practices under income tax regulations.
51% : These statements may involve a number of risks, uncertainties and other factors that could cause actual results to differ materially, including the performance of financial markets, the investment performance of PIMCO's sponsored investment products and separately managed accounts, general economic conditions, future acquisitions, competitive conditions and government regulations, including changes in tax laws.
50% : In addition, the tax treatment of such investment strategies may be changed by regulation or otherwise.
46% : There can be no assurance that all distributions paid by these Funds will be exempt from federal income taxes or applicable state or local income taxes.
41% : Income from municipal bonds is exempt from federal income tax and may be subject to state and local taxes and at times the alternative minimum tax; a strategy concentrating in a single or limited number of states is subject to greater risk of adverse economic conditions and regulatory changes.

*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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