Universal Insurance Holdings Stock Market Value
| UVE Stock | USD 22.88 0.29 1.28% |
| Symbol | Universal |
Universal Insurance Price To Book Ratio
Is Property & Casualty Insurance 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 Universal Insurance. If investors know Universal 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 Universal Insurance 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 0.301 | Dividend Share 0.64 | Earnings Share 2.48 | Revenue Per Share 52.62 | Quarterly Revenue Growth 0.076 |
The market value of Universal Insurance is measured differently than its book value, which is the value of Universal that is recorded on the company's balance sheet. Investors also form their own opinion of Universal Insurance's value that differs from its market value or its book value, called intrinsic value, which is Universal Insurance's 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 Universal Insurance's market value can be influenced by many factors that don't directly affect Universal Insurance's 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 Universal Insurance's value and its price as these two are different measures arrived at by different means. Investors typically determine if Universal Insurance is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Universal Insurance's 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.
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.
| 10/24/2024 |
| 11/23/2024 |
If you would invest 0.00 in Universal Insurance on October 24, 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 HCI, Kingstone Companies, Horace Mann, Heritage Insurance, Donegal Group, NI Holdings, and Conifer Holding. 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.
| Downside Deviation | 4.23 | |||
| Information Ratio | 0.0267 | |||
| Maximum Drawdown | 22.93 | |||
| Value At Risk | (3.82) | |||
| Potential Upside | 4.41 |
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 | 0.0522 | |||
| Jensen Alpha | 0.0368 | |||
| Total Risk Alpha | (0.26) | |||
| Sortino Ratio | 0.022 | |||
| Treynor Ratio | 0.123 |
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 appears to be not too volatile, given 3 months investment horizon. Universal Insurance owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.061, which indicates the firm had a 0.061% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Universal Insurance Holdings, which you can use to evaluate the volatility of the company. Please review Universal Insurance's Risk Adjusted Performance of 0.0522, coefficient of variation of 1719.85, and Semi Deviation of 3.92 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Universal Insurance holds a performance score of 4. The entity has a beta of 1.56, 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, Universal Insurance will likely underperform. Please check Universal Insurance's semi variance, and the relationship between the treynor ratio and daily balance of power , to make a quick decision on whether Universal Insurance's existing price patterns will revert.
Auto-correlation | 0.42 |
Average predictability
Universal Insurance Holdings has average predictability. Overlapping area represents the amount of predictability between Universal Insurance time series from 24th of October 2024 to 8th of November 2024 and 8th of November 2024 to 23rd 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 Universal Insurance price movement. The serial correlation of 0.42 indicates that just about 42.0% of current Universal Insurance price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.42 | |
| Spearman Rank Test | 0.71 | |
| Residual Average | 0.0 | |
| Price Variance | 0.07 |
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 |
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 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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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.