Financial Institutions Stock Analysis

Financial Stock Analysis Notes

About 65.0% of the company shares are owned by institutional investors. The company has price-to-book (P/B) ratio of 0.6. Some equities with similar Price to Book (P/B) outperform the market in the long run. Financial Institutions has Price/Earnings To Growth (PEG) ratio of 1.91. The entity last dividend was issued on the 14th of June 2024. Financial Institutions, Inc. operates as a holding company for the Five Star Bank, a chartered bank that provides banking and financial services to individuals, municipalities, and businesses in New York. Financial Institutions, Inc. was founded in 1817 and is headquartered in Warsaw, New York. Financial Institut operates under BanksRegional classification in the United States and is traded on NASDAQ Exchange. It employs 650 people. To learn more about Financial Institutions call Martin Birmingham at 585 786 1100 or check out https://www.fisi-investors.com.

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Financial Institutions Environmental, Social, and Governance (ESG) Scores

Financial Stock Institutional Investors

Note, although Financial Institutions' institutional investors appear to be way more sophisticated than retail investors, it remains unclear if professional active investment managers can reliably enhance risk-adjusted returns by an amount that exceeds fees and expenses.

Financial Market Capitalization

The company currently falls under 'Small-Cap' category with a current market capitalization of 272.02 M. Market capitalization usually refers to the total value of a company's stock within the entire market. To calculate Financial Institutions's market, we take the total number of its shares issued and multiply it by Financial Institutions's current market price. To manage market risk and economic uncertainty, many investors today build portfolios that are diversified across equities with different market capitalizations. However, as a general rule, conservative investors tend to hold large-cap stocks, and those looking for more risk prefer small-cap and mid-cap equities.

Financial Profitablity

The company has Profit Margin (PM) of 0.19 %, which maeans that even a very small decline in it revenue will erase profits resulting in a net loss. This is way below average. Similarly, it shows Operating Margin (OM) of 0.07 %, which suggests for every 100 dollars of sales, it generated a net operating income of $0.07.

Management Efficiency

The current Return On Tangible Assets is estimated to decrease to 0.01. The current Return On Capital Employed is estimated to decrease to 0.02. As of now, Financial Institutions' Intangibles To Total Assets are increasing as compared to previous years. The Financial Institutions' current Debt To Assets is estimated to increase to 0.06, while Total Assets are projected to decrease to under 3.2 B. Financial Institutions' management efficiency ratios could be used to measure how well Financial Institutions manages its routine affairs as well as how well it operates its assets and liabilities.

Technical Drivers

As of the 3rd of June, Financial Institutions shows the Coefficient Of Variation of 47558.8, downside deviation of 1.94, and Mean Deviation of 1.39. Financial Institutions technical analysis allows you to utilize historical prices and volume patterns in order to determine a pattern that computes the direction of the firm's future prices. Put another way, you can use this information to find out if the firm will indeed mirror its model of historical prices and volume momentum, or the prices will eventually revert. We are able to interpolate and collect nineteen technical drivers for Financial Institutions, which can be compared to its peers. Please confirm Financial Institutions coefficient of variation, treynor ratio, as well as the relationship between the Treynor Ratio and semi variance to decide if Financial Institutions is priced favorably, providing market reflects its regular price of 17.61 per share. Given that Financial Institutions has jensen alpha of (0.06), we urge you to verify Financial Institutions's prevailing market performance to make sure the company can sustain itself at a future point.

Financial Institutions Price Movement Analysis

Financial Institutions Insider Trading Activities

Financial Institutions Predictive Daily Indicators

Financial Institutions Corporate Filings

Financial Institutions Forecast Models

Financial Institutions' time-series forecasting models are one of many Financial Institutions' stock analysis techniques aimed at predicting future share value based on previously observed values. Time-series forecasting models ae widely used for non-stationary data. Non-stationary data are called the data whose statistical properties e.g. the mean and standard deviation are not constant over time but instead, these metrics vary over time. These non-stationary Financial Institutions' historical data is usually called time-series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the market movement and maximize returns from investment trading.

Stock analysis is the technique used by a trader or investor to examine and evaluate how Financial Institutions prices is reacting to, or reflecting on a current market direction and economic conditions. It can be used to make informed decisions about market timing, and when buying or selling Financial shares will generate the highest return on investment. We also built our stock analysis module to help investors to gain an insight into the world economy as a whole, the stock market, thematic ideas. a specific sector, or an individual Stock such as Financial Institutions. By using and applying Financial Stock analysis, traders can create a robust methodology for identifying Financial entry and exit points for their positions.

We track the performance of the top 100 financial experts across various large and mid-size financial boutiques. Financial analyst recommendations are determined by taking all analyst recommendations and averaging them as Strong Buy, Buy, Hold, Strong Sell or Sell. There is no one specific way to measure analysis performance other than comparing it to the past results via a very sophisticated attribution analysis. Financial analyst consensus and target price projections should be used in combination with other traditional techniques such as stock price forecasting, technical analysis, earnings estimate, and various momentum models.

Financial Institutions stock analysis indicators help investors evaluate how Financial Institutions stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing and determine when trading Financial Institutions shares will generate the highest return on investment. By understating and applying Financial Institutions stock analysis, traders can identify Financial Institutions position entry and exit signals to maximize returns.

Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in Financial Institutions. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in state. For more detail on how to invest in Financial Stock please use our How to Invest in Financial Institutions guide.You can also try the Equity Analysis module to research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities.

When running Financial Institutions' price analysis, check to measure Financial Institutions' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Financial Institutions is operating at the current time. Most of Financial Institutions' value examination focuses on studying past and present price action to predict the probability of Financial Institutions' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Financial Institutions' price. Additionally, you may evaluate how the addition of Financial Institutions to your portfolios can decrease your overall portfolio volatility.

Is Financial Institutions' industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Financial Institutions. If investors know Financial will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Financial Institutions listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.

The market value of Financial Institutions is measured differently than its book value, which is the value of Financial that is recorded on the company's balance sheet. Investors also form their own opinion of Financial Institutions' value that differs from its market value or its book value, called intrinsic value, which is Financial Institutions' true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Financial Institutions' market value can be influenced by many factors that don't directly affect Financial Institutions' underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.

Please note, there is a significant difference between Financial Institutions' value and its price as these two are different measures arrived at by different means. Investors typically determine if Financial Institutions is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Financial Institutions' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.