U I Financial Stock Market Value
| UNIF Stock | USD 3.50 0.05 1.45% |
| Symbol | UNIF |
U I '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 U I's otc 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 U I.
| 01/31/2024 |
| 11/26/2024 |
If you would invest 0.00 in U I on January 31, 2024 and sell it all today you would earn a total of 0.00 from holding U I Financial or generate 0.0% return on investment in U I over 300 days. U I is related to or competes with CIB Marine, Heartland Banccorp, United Bancorporation, Harbor Bankshares, Citizens Bancshares, BankFirst Capital, and Security Federal. U I Financial Corp. operates as the holding company for UniBank that provides banking products and services for small to... More
U I 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 U I's otc 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 U I Financial upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.25) | |||
| Maximum Drawdown | 13.43 | |||
| Value At Risk | (4.16) | |||
| Potential Upside | 3.55 |
U I Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for U I's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as U I's standard deviation. In reality, there are many statistical measures that can use U I historical prices to predict the future U I's volatility.| Risk Adjusted Performance | (0.14) | |||
| Jensen Alpha | (0.48) | |||
| Total Risk Alpha | (0.83) | |||
| Treynor Ratio | (3.58) |
U I Financial Backtested Returns
U I Financial owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.15, which indicates the company had a -0.15% return per unit of volatility over the last 3 months. U I Financial exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate U I's Market Risk Adjusted Performance of (3.57), standard deviation of 2.37, and Risk Adjusted Performance of (0.14) to confirm the risk estimate we provide. The firm has a beta of 0.13, which indicates not very significant fluctuations relative to the market. As returns on the market increase, U I's returns are expected to increase less than the market. However, during the bear market, the loss of holding U I is expected to be smaller as well. At this point, U I Financial has a negative expected return of -0.37%. Please make sure to validate U I's treynor ratio, as well as the relationship between the daily balance of power and price action indicator , to decide if U I Financial performance from the past will be repeated sooner or later.
Auto-correlation | 0.74 |
Good predictability
U I Financial has good predictability. Overlapping area represents the amount of predictability between U I time series from 31st of January 2024 to 29th of June 2024 and 29th of June 2024 to 26th of November 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of U I Financial price movement. The serial correlation of 0.74 indicates that around 74.0% of current U I price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.74 | |
| Spearman Rank Test | 0.83 | |
| Residual Average | 0.0 | |
| Price Variance | 0.62 |
U I Financial lagged returns against current returns
Autocorrelation, which is U I otc 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 U I's otc stock expected returns. We can calculate the autocorrelation of U I returns to help us make a trade decision. For example, suppose you find that U I has exhibited high autocorrelation historically, and you observe that the otc 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 |
U I 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 U I otc stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if U I otc stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in U I otc stock over time.
Current vs Lagged Prices |
| Timeline |
U I Lagged Returns
When evaluating U I's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of U I otc stock have on its future price. U I 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, U I autocorrelation shows the relationship between U I otc stock current value and its past values and can show if there is a momentum factor associated with investing in U I Financial.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in UNIF OTC Stock
U I financial ratios help investors to determine whether UNIF OTC Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in UNIF with respect to the benefits of owning U I security.