Financial Institutions Stock Alpha and Beta Analysis

FISI Stock  USD 26.05  0.36  1.40%   
This module allows you to check different measures of market premium (i.e., alpha and beta) for all equities such as Financial Institutions. It also helps investors analyze the systematic and unsystematic risks associated with investing in Financial Institutions over a specified time horizon. Remember, high Financial Institutions' alpha is almost always a sign of good performance; however, a high beta will depend on investors' risk tolerance level and may signal increased volatility and potential future overvaluation. Key technical indicators related to Financial Institutions' market risk premium analysis include:
Beta
0.91
Alpha
0.11
Risk
1.6
Sharpe Ratio
(0.09)
Expected Return
(0.14)
Please note that although Financial Institutions alpha is a measure of relative return and represented here as a single number, it indicates the percentage above or below your selected benchmark (i.e., Dow Jones Industrial index.) So in this particular case, Financial Institutions did 0.11  better than the index. Remember, a high alpha is always good. Beta, on the other hand, measures the volatility (or risk) of an investment. It is an indication of Financial Institutions stock's relative risk over its benchmark. Financial Institutions has a beta of 0.91  . Financial Institutions returns are very sensitive to returns on the market. As the market goes up or down, Financial Institutions is expected to follow. As of now, Financial Institutions' Price Fair Value is increasing as compared to previous years. The Financial Institutions' current Enterprise Value is estimated to increase to about 247.7 M, while Enterprise Value Over EBITDA is projected to decrease to 7.23.

Enterprise Value

247.67 Million

Alpha is a measure of relative performance on a risk-adjusted basis, while beta measures volatility against the benchmark. The goal is to know if an investor is being compensated for the volatility risk taken. The return on investment might be better than its reference but still not compensate for the assumption of the risk.
  
Check out Financial Institutions Backtesting, Financial Institutions Valuation, Financial Institutions Correlation, Financial Institutions Hype Analysis, Financial Institutions Volatility, Financial Institutions History and analyze Financial Institutions Performance.
For more detail on how to invest in Financial Stock please use our How to Invest in Financial Institutions guide.

Financial Institutions Market Premiums

Investors always prefer to have the highest possible return on investment, coupled with the lowest possible volatility. Financial Institutions market risk premium is the additional return an investor will receive from holding Financial Institutions long position in a well-diversified portfolio. The market premium is part of the Capital Asset Pricing Model (CAPM), which most analysts and investors use to calculate the acceptable rate of return on investment in Financial Institutions. At the center of the CAPM is the concept of risk and reward, which is usually communicated by investors using alpha and beta measures. Alpha and beta are two of the key measurements used to evaluate Financial Institutions' performance over market.
α0.11   β0.91

Financial Institutions expected buy-and-hold returns

Although buy-and-hold investment strategy may not appeal to all investors, it may be used as a good measure of Financial Institutions' Buy-and-hold return. Our buy-and-hold chart shows how Financial Institutions performed over your current time horizon against a typical interest-earning bank account and a selected benchmark.

Financial Institutions Market Price Analysis

Market price analysis indicators help investors to 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 market price indicators, traders can identify Financial Institutions position entry and exit signals to maximize returns.

Financial Institutions Return and Market Media

The median price of Financial Institutions for the period between Sun, Dec 15, 2024 and Sat, Mar 15, 2025 is 27.12 with a coefficient of variation of 3.39. The daily time series for the period is distributed with a sample standard deviation of 0.93, arithmetic mean of 27.32, and mean deviation of 0.75. The Stock received substential amount of media coverage during this period.
 Price Growth (%)  
       Timeline  
1
Disposition of 1000 shares by Whiting Reid A of Financial Institutions subject to Rule 16b-3
12/13/2024
 
Financial Institutions dividend paid on 2nd of January 2025
01/02/2025
2
Insider Trading
01/22/2025
3
Financial Institutions, Inc. Announces 3.3 percent Increase in Common Stock Dividend
02/13/2025
4
Financial Institutions, Inc. Settles Auto Lending Litigation
03/10/2025
5
Dont Race Out To Buy Financial Institutions, Inc. Just Because Its Going Ex-Dividend
03/11/2025

About Financial Institutions Beta and Alpha

For many years both, Alpha and Beta indicators are used by professional money managers as critical performance measurement tools across virtually all financial instruments including Financial or other stocks. Alpha measures the amount that position in Financial Institutions has returned in comparison to a selected market index or another relevant benchmark. In other words, Alpha is the excess return on an investment relative to the performance of your selected benchmark. Beta, on the other hand, measures the relative risk of your investment.
 2022 2023 2024 2025 (projected)
Dividend Yield0.05080.06030.0034090.003239
Price To Sales Ratio1.761.641.371.3

Financial Institutions Upcoming Company Events

As portrayed in its financial statements, the presentation of Financial Institutions' financial position is often influenced by management's estimates, judgments, and sometimes even manipulations. In the best case, Financial Institutions' leadership is honest, while the outside auditors are strict and uncompromising. Whatever the case, investors should always follow all of Financial Institutions' public filing events to personally review all filings and be reasonable and skeptical to interpret all of the financial statements of Financial Institutions. Please utilize our Beneish M Score to check the likelihood of Financial Institutions' management manipulating its earnings.
24th of April 2024
Upcoming Quarterly Report
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25th of July 2024
Next Financial Report
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31st of March 2024
Next Fiscal Quarter End
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23rd of January 2025
Next Fiscal Year End
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31st of December 2023
Last Quarter Report
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31st of December 2023
Last Financial Announcement
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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:
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...