Financial Institutions Stock Market Value

FISI Stock  USD 27.25  0.34  1.26%   
Financial Institutions' market value is the price at which a share of Financial Institutions trades on a public exchange. It measures the collective expectations of Financial Institutions investors about its performance. Financial Institutions is trading at 27.25 as of the 19th of July 2025. This is a 1.26 percent increase since the beginning of the trading day. The stock's open price was 26.91.
With this module, you can estimate the performance of a buy and hold strategy of Financial Institutions and determine expected loss or profit from investing in Financial Institutions over a given investment horizon. Check out Financial Institutions Correlation, Financial Institutions Volatility and Financial Institutions Alpha and Beta module to complement your research on Financial Institutions.
For more detail on how to invest in Financial Stock please use our How to Invest in Financial Institutions guide.
Symbol

Financial Institutions Price To Book Ratio

Is Regional Banks space 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.
Quarterly Earnings Growth
6.364
Dividend Share
1.21
Earnings Share
(2.05)
Revenue Per Share
6.447
Quarterly Revenue Growth
(0.04)
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.

Financial Institutions 'What if' Analysis

In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Financial Institutions' stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Financial Institutions.
0.00
04/20/2025
No Change 0.00  0.0 
In 3 months and 1 day
07/19/2025
0.00
If you would invest  0.00  in Financial Institutions on April 20, 2025 and sell it all today you would earn a total of 0.00 from holding Financial Institutions or generate 0.0% return on investment in Financial Institutions over 90 days. Financial Institutions is related to or competes with Finward Bancorp, Northfield Bancorp, Community West, First Community, LINKBANCORP, First Community, and First Bancorp. Financial Institutions, Inc. operates as a holding company for the Five Star Bank, a chartered bank that provides bankin... More

Financial Institutions Upside/Downside Indicators

Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Financial Institutions' stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Financial Institutions upside and downside potential and time the market with a certain degree of confidence.

Financial Institutions Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Financial Institutions' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Financial Institutions' standard deviation. In reality, there are many statistical measures that can use Financial Institutions historical prices to predict the future Financial Institutions' volatility.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Financial Institutions' price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
25.3527.0928.83
Details
Intrinsic
Valuation
LowRealHigh
24.5331.9833.72
Details
Naive
Forecast
LowNextHigh
24.8426.5828.32
Details
2 Analysts
Consensus
LowTargetHigh
30.0333.0036.63
Details

Financial Institutions Backtested Returns

Financial Institutions appears to be very steady, given 3 months investment horizon. Financial Institutions secures Sharpe Ratio (or Efficiency) of 0.21, which denotes the company had a 0.21 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Financial Institutions, which you can use to evaluate the volatility of the firm. Please utilize Financial Institutions' Mean Deviation of 1.34, downside deviation of 1.36, and Coefficient Of Variation of 469.73 to check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Financial Institutions holds a performance score of 16. The firm shows a Beta (market volatility) of 1.18, which means a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Financial Institutions will likely underperform. Please check Financial Institutions' semi variance, and the relationship between the treynor ratio and daily balance of power , to make a quick decision on whether Financial Institutions' price patterns will revert.

Auto-correlation

    
  0.26  

Poor predictability

Financial Institutions has poor predictability. Overlapping area represents the amount of predictability between Financial Institutions time series from 20th of April 2025 to 4th of June 2025 and 4th of June 2025 to 19th of July 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Financial Institutions price movement. The serial correlation of 0.26 indicates that nearly 26.0% of current Financial Institutions price fluctuation can be explain by its past prices.
Correlation Coefficient0.26
Spearman Rank Test0.0
Residual Average0.0
Price Variance0.97

Financial Institutions lagged returns against current returns

Autocorrelation, which is Financial Institutions stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Financial Institutions' stock expected returns. We can calculate the autocorrelation of Financial Institutions returns to help us make a trade decision. For example, suppose you find that Financial Institutions has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
   Current and Lagged Values   
       Timeline  

Financial Institutions regressed lagged prices vs. current prices

Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Financial Institutions stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Financial Institutions stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Financial Institutions stock over time.
   Current vs Lagged Prices   
       Timeline  

Financial Institutions Lagged Returns

When evaluating Financial Institutions' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Financial Institutions stock have on its future price. Financial Institutions autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Financial Institutions autocorrelation shows the relationship between Financial Institutions stock current value and its past values and can show if there is a momentum factor associated with investing in Financial Institutions.
   Regressed Prices   
       Timeline  

Currently Active Assets on Macroaxis

When determining whether Financial Institutions offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Financial Institutions' financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Financial Institutions Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Financial Institutions Stock:
Check out Financial Institutions Correlation, Financial Institutions Volatility and Financial Institutions Alpha and Beta module to complement your research on Financial Institutions.
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
Financial Institutions technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.
A focus of Financial Institutions technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Financial Institutions trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...