Q4 2023 Flushing Financial Corp Earnings Call
- Bias Rating
10% Center
- Reliability
N/AN/A
- Policy Leaning
10% Center
- Politician Portrayal
N/A
Continue For Free
Create your free account to see the in-depth bias analytics and more.
Continue
Continue
By creating an account, you agree to our Terms and Privacy Policy, and subscribe to email updates. Already a member: Log inBias 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
23% Positive
- Liberal
- Conservative
Sentence | Sentiment | Bias |
---|---|---|
Unlock this feature by upgrading to the Pro plan. |
Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
Extremely
Liberal
Very
Liberal
Moderately
Liberal
Somewhat Liberal
Center
Somewhat Conservative
Moderately
Conservative
Very
Conservative
Extremely
Conservative
-100%
Liberal
100%
Conservative
Contributing sentiments towards policy:
52% : Such statements are subject to risks, uncertainties and other factors that may cause actual results to differ materially from those contained in any such statements, including as set forth in the Company's filings with the US Securities and Exchange Commission to which we refer you during this call, references will be made to non-GAAP financial measures as supplemental measures to review and assess operating performance.46% : As we look to drive operating efficiencies, while tax rates can fluctuate, we expect a mid 20s effective tax rate for 2024.
44% : For the past five years, non-interest expenses grew at a 5.6% compounded annual growth rate in 2024.
43% : The quarterly increase was partially attributable to seasonality and our focus on non-interest bearing deposits.
40% : Our growth in non-interest bearing deposits in the second half of the year underscores our progress in this area, and we expect this momentum to continue into 2024.
*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.