Unisys Stock Market Value
| UIS Stock | USD 5.49 0.04 0.72% |
| Symbol | Unisys |
Unisys Price To Book Ratio
Is Unisys' 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 Unisys. If investors know Unisys 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 Unisys listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share (6.31) | Revenue Per Share 29.528 | Quarterly Revenue Growth 0.001 | Return On Assets (0.09) |
The market value of Unisys is measured differently than its book value, which is the value of Unisys that is recorded on the company's balance sheet. Investors also form their own opinion of Unisys' value that differs from its market value or its book value, called intrinsic value, which is Unisys' 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 Unisys' market value can be influenced by many factors that don't directly affect Unisys' 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 Unisys' value and its price as these two are different measures arrived at by different means. Investors typically determine if Unisys is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Unisys' 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.
Unisys '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 Unisys' 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 Unisys.
| 04/29/2022 |
| 04/18/2024 |
If you would invest 0.00 in Unisys on April 29, 2022 and sell it all today you would earn a total of 0.00 from holding Unisys or generate 0.0% return on investment in Unisys over 720 days. Unisys is related to or competes with Pfizer, Home Federal, Betterware, Heartland Financial, Nordea Bank, Conflux Network, and Citigroup Capital. Unisys Corporation, together with its subsidiaries, operates as an information technology services company worldwide More
Unisys 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 Unisys' 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 Unisys upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.02) | |||
| Maximum Drawdown | 43.7 | |||
| Value At Risk | (4.16) | |||
| Potential Upside | 6.06 |
Unisys Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Unisys' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Unisys' standard deviation. In reality, there are many statistical measures that can use Unisys historical prices to predict the future Unisys' volatility.| Risk Adjusted Performance | 0.0022 | |||
| Jensen Alpha | (0.14) | |||
| Total Risk Alpha | (0.45) | |||
| Treynor Ratio | (0.04) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Unisys' 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.
Unisys Backtested Returns
Unisys owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0245, which indicates the firm had a -0.0245% return per unit of risk over the last 3 months. Unisys exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Unisys' Coefficient Of Variation of (9,550), variance of 28.97, and Risk Adjusted Performance of 0.0022 to confirm the risk estimate we provide. The entity has a beta of 1.67, which indicates 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, Unisys will likely underperform. Unisys has an expected return of -0.13%. Please make sure to validate Unisys jensen alpha, skewness, as well as the relationship between the Skewness and day typical price , to decide if Unisys performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.46 |
Modest reverse predictability
Unisys has modest reverse predictability. Overlapping area represents the amount of predictability between Unisys time series from 29th of April 2022 to 24th of April 2023 and 24th of April 2023 to 18th of April 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 Unisys price movement. The serial correlation of -0.46 indicates that about 46.0% of current Unisys price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.46 | |
| Spearman Rank Test | -0.56 | |
| Residual Average | 0.0 | |
| Price Variance | 1.42 |
Unisys lagged returns against current returns
Autocorrelation, which is Unisys 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 Unisys' stock expected returns. We can calculate the autocorrelation of Unisys returns to help us make a trade decision. For example, suppose you find that Unisys 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 |
Unisys 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 Unisys stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Unisys stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Unisys stock over time.
Current vs Lagged Prices |
| Timeline |
Unisys Lagged Returns
When evaluating Unisys' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Unisys stock have on its future price. Unisys 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, Unisys autocorrelation shows the relationship between Unisys stock current value and its past values and can show if there is a momentum factor associated with investing in Unisys.
Regressed Prices |
| Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Unisys in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Unisys' short interest history, or implied volatility extrapolated from Unisys options trading.
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.When determining whether Unisys is a strong investment it is important to analyze Unisys' competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Unisys' future performance. For an informed investment choice regarding Unisys Stock, refer to the following important reports:Check out Unisys Correlation, Unisys Volatility and Unisys Alpha and Beta module to complement your research on Unisys. For more information on how to buy Unisys Stock please use our How to Invest in Unisys guide.You can also try the Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
Complementary Tools for Unisys Stock analysis
When running Unisys' price analysis, check to measure Unisys' 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 Unisys is operating at the current time. Most of Unisys' value examination focuses on studying past and present price action to predict the probability of Unisys' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Unisys' price. Additionally, you may evaluate how the addition of Unisys to your portfolios can decrease your overall portfolio volatility.
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Unisys 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.