Universal Insurance (Germany) Market Value
| 5UI Stock | EUR 17.20 0.10 0.58% |
| Symbol | Universal |
Universal Insurance '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 Universal Insurance's 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 Universal Insurance.
| 05/08/2024 |
| 06/07/2024 |
If you would invest 0.00 in Universal Insurance on May 8, 2024 and sell it all today you would earn a total of 0.00 from holding Universal Insurance Holdings or generate 0.0% return on investment in Universal Insurance over 30 days. Universal Insurance is related to or competes with QBE Insurance, Insurance Australia, Superior Plus, NMI Holdings, Origin Agritech, SIVERS SEMICONDUCTORS, and NorAm Drilling. Universal Insurance Holdings, Inc., together with its subsidiaries, operates as an integrated insurance holding company ... More
Universal Insurance 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 Universal Insurance's 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 Universal Insurance Holdings upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.05) | |||
| Maximum Drawdown | 10.36 | |||
| Value At Risk | (2.80) | |||
| Potential Upside | 2.87 |
Universal Insurance Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Universal Insurance's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Universal Insurance's standard deviation. In reality, there are many statistical measures that can use Universal Insurance historical prices to predict the future Universal Insurance's volatility.| Risk Adjusted Performance | (0.01) | |||
| Jensen Alpha | (0.07) | |||
| Total Risk Alpha | (0.14) | |||
| Treynor Ratio | 0.6593 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Universal Insurance's 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.
Universal Insurance Backtested Returns
Universal Insurance owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.041, which indicates the firm had a -0.041% return per unit of risk over the last 3 months. Universal Insurance Holdings exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Universal Insurance's Risk Adjusted Performance of (0.01), variance of 3.14, and Coefficient Of Variation of (2,942) to confirm the risk estimate we provide. The entity has a beta of -0.11, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Universal Insurance are expected to decrease at a much lower rate. During the bear market, Universal Insurance is likely to outperform the market. At this point, Universal Insurance has a negative expected return of -0.0721%. Please make sure to validate Universal Insurance's mean deviation, standard deviation, information ratio, as well as the relationship between the coefficient of variation and variance , to decide if Universal Insurance performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.31 |
Below average predictability
Universal Insurance Holdings has below average predictability. Overlapping area represents the amount of predictability between Universal Insurance time series from 8th of May 2024 to 23rd of May 2024 and 23rd of May 2024 to 7th of June 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 Universal Insurance price movement. The serial correlation of 0.31 indicates that nearly 31.0% of current Universal Insurance price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.31 | |
| Spearman Rank Test | 0.48 | |
| Residual Average | 0.0 | |
| Price Variance | 0.13 |
Universal Insurance lagged returns against current returns
Autocorrelation, which is Universal Insurance 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 Universal Insurance's stock expected returns. We can calculate the autocorrelation of Universal Insurance returns to help us make a trade decision. For example, suppose you find that Universal Insurance 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 |
Universal Insurance 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 Universal Insurance stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Universal Insurance stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Universal Insurance stock over time.
Current vs Lagged Prices |
| Timeline |
Universal Insurance Lagged Returns
When evaluating Universal Insurance's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Universal Insurance stock have on its future price. Universal Insurance 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, Universal Insurance autocorrelation shows the relationship between Universal Insurance stock current value and its past values and can show if there is a momentum factor associated with investing in Universal Insurance Holdings.
Regressed Prices |
| Timeline |
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Additional Information and Resources on Investing in Universal Stock
When determining whether Universal Insurance is a strong investment it is important to analyze Universal Insurance's 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 Universal Insurance's future performance. For an informed investment choice regarding Universal Stock, refer to the following important reports:Check out Universal Insurance Correlation, Universal Insurance Volatility and Universal Insurance Alpha and Beta module to complement your research on Universal Insurance. You can also try the Sectors module to list of equity sectors categorizing publicly traded companies based on their primary business activities.
Universal Insurance 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.