Financial Institutions Stock Probability of Future Stock Price Finishing Under 27.06
| FISI Stock | USD 27.02 0.29 1.08% |
Closest to current price Financial long CALL Option Payoff at Expiration
Financial |
Financial Institutions Target Price Odds to finish below 27.06
The tendency of Financial Stock price to converge on an average value over time is a known aspect in finance that investors have used since the beginning of the stock market for forecasting. However, many studies suggest that some traded equity instruments are consistently mispriced before traders' demand and supply correct the spread. One possible conclusion to this anomaly is that these stocks have additional risk, for which investors demand compensation in the form of extra returns.
| Current Price | Horizon | Target Price | Odds to stay under $ 27.06 after 90 days |
| 27.02 | 90 days | 27.06 | about 85.19 |
Based on a normal probability distribution, the odds of Financial Institutions to stay under $ 27.06 after 90 days from now is about 85.19 (This Financial Institutions probability density function shows the probability of Financial Stock to fall within a particular range of prices over 90 days) . Probability of Financial Institutions price to stay between its current price of $ 27.02 and $ 27.06 at the end of the 90-day period is near 1 .
Given the investment horizon of 90 days the stock has the beta coefficient of 2.48 . This usually indicates as the benchmark fluctuates upward, the company is expected to outperform it on average. However, if the benchmark returns are projected to be negative, Financial Institutions will likely underperform. Additionally Financial Institutions has a negative alpha, implying that the risk taken by holding this instrument is not justified. The company is significantly underperforming the Dow Jones Industrial. Financial Institutions Price Density |
| Price |
Predictive Modules for Financial Institutions
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Financial Institutions. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.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.
Financial Institutions Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Financial Institutions is not an exception. The market had few large corrections towards the Financial Institutions' value, including both sudden drops in prices as well as massive rallies. These swings have made and broken many portfolios. An investor can limit the violent swings in their portfolio by implementing a hedging strategy designed to limit downside losses. If you hold Financial Institutions, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Financial Institutions within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | -0.14 | |
β | Beta against Dow Jones | 2.48 | |
σ | Overall volatility | 1.17 | |
Ir | Information ratio | 0.01 |
Financial Institutions Alerts and Suggestions
In today's market, stock alerts give investors the competitive edge they need to time the market and increase returns. Checking the ongoing alerts of Financial Institutions for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Financial Institutions can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| Financial Institutions has a poor financial position based on the latest SEC disclosures | |
| About 71.0% of the company shares are owned by institutional investors | |
| Latest headline from MacroaxisInsider: Disposition of 1000 shares by Whiting Reid A of Financial Institutions subject to Rule 16b-3 |
Financial Institutions Price Density Drivers
Market volatility will typically increase when nervous long traders begin to feel the short-sellers pressure to drive the market lower. The future price of Financial Stock often depends not only on the future outlook of the current and potential Financial Institutions' investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Financial Institutions' indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 15.5 M | |
| Cash And Short Term Investments | 124.4 M |
Financial Institutions Technical Analysis
Financial Institutions' future price can be derived by breaking down and analyzing its technical indicators over time. Financial Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Financial Institutions. In general, you should focus on analyzing Financial Stock price patterns and their correlations with different microeconomic environments and drivers.
Financial Institutions Predictive Forecast Models
Financial Institutions' time-series forecasting models is one of many Financial Institutions' stock analysis techniques aimed to predict future share value based on previously observed values. Time-series forecasting models are 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. This 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 stock market movement and maximize returns from investment trading.
Things to note about Financial Institutions
Checking the ongoing alerts about Financial Institutions for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Financial Institutions help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| Financial Institutions has a poor financial position based on the latest SEC disclosures | |
| About 71.0% of the company shares are owned by institutional investors | |
| Latest headline from MacroaxisInsider: Disposition of 1000 shares by Whiting Reid A of Financial Institutions subject to Rule 16b-3 |
Check out Financial Institutions Backtesting, Financial Institutions Valuation, Financial Institutions Correlation, Financial Institutions Hype Analysis, Financial Institutions Volatility, Financial Institutions History as well as Financial Institutions Performance. 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 Portfolio File Import module to quickly import all of your third-party portfolios from your local drive in csv format.
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 (0.04) | Dividend Share 1.2 | Earnings Share 3.17 | Revenue Per Share 14.042 | Quarterly Revenue Growth (0.08) |
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.