UNIQA Insurance (Germany) Market Value
| UN9 Stock | 7.61 0.07 0.91% |
| Symbol | UNIQA |
UNIQA 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 UNIQA 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 UNIQA Insurance.
| 06/26/2024 |
| 12/23/2024 |
If you would invest 0.00 in UNIQA Insurance on June 26, 2024 and sell it all today you would earn a total of 0.00 from holding UNIQA Insurance Group or generate 0.0% return on investment in UNIQA Insurance over 180 days. UNIQA Insurance is related to or competes with Berkshire Hathaway, Allianz SE, AXA SA, AXA SA, Assicurazioni Generali, Hartford Financial, and Swiss Life. More
UNIQA 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 UNIQA 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 UNIQA Insurance Group upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.9203 | |||
| Information Ratio | (0) | |||
| Maximum Drawdown | 4.48 | |||
| Value At Risk | (1.24) | |||
| Potential Upside | 1.12 |
UNIQA Insurance Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for UNIQA Insurance's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as UNIQA Insurance's standard deviation. In reality, there are many statistical measures that can use UNIQA Insurance historical prices to predict the future UNIQA Insurance's volatility.| Risk Adjusted Performance | 0.028 | |||
| Jensen Alpha | 0.0223 | |||
| Total Risk Alpha | (0) | |||
| Sortino Ratio | (0) | |||
| Treynor Ratio | (0.18) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of UNIQA 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.
UNIQA Insurance Group Backtested Returns
Currently, UNIQA Insurance Group is not too volatile. UNIQA Insurance Group owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0229, which indicates the firm had a 0.0229% return per unit of volatility over the last 3 months. We have found twenty-seven technical indicators for UNIQA Insurance Group, which you can use to evaluate the volatility of the company. Please validate UNIQA Insurance's risk adjusted performance of 0.028, and Coefficient Of Variation of 2922.09 to confirm if the risk estimate we provide is consistent with the expected return of 0.02%. UNIQA Insurance has a performance score of 1 on a scale of 0 to 100. 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 UNIQA Insurance are expected to decrease at a much lower rate. During the bear market, UNIQA Insurance is likely to outperform the market. UNIQA Insurance Group currently has a risk of 0.88%. Please validate UNIQA Insurance potential upside, and the relationship between the sortino ratio and skewness , to decide if UNIQA Insurance will be following its existing price patterns.
Auto-correlation | 0.05 |
Virtually no predictability
UNIQA Insurance Group has virtually no predictability. Overlapping area represents the amount of predictability between UNIQA Insurance time series from 26th of June 2024 to 24th of September 2024 and 24th of September 2024 to 23rd of December 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 UNIQA Insurance Group price movement. The serial correlation of 0.05 indicates that only as little as 5.0% of current UNIQA Insurance price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.05 | |
| Spearman Rank Test | 0.08 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
UNIQA Insurance Group lagged returns against current returns
Autocorrelation, which is UNIQA 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 UNIQA Insurance's stock expected returns. We can calculate the autocorrelation of UNIQA Insurance returns to help us make a trade decision. For example, suppose you find that UNIQA 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 |
UNIQA 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 UNIQA Insurance stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if UNIQA Insurance stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in UNIQA Insurance stock over time.
Current vs Lagged Prices |
| Timeline |
UNIQA Insurance Lagged Returns
When evaluating UNIQA Insurance's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of UNIQA Insurance stock have on its future price. UNIQA 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, UNIQA Insurance autocorrelation shows the relationship between UNIQA Insurance stock current value and its past values and can show if there is a momentum factor associated with investing in UNIQA Insurance Group.
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.Additional Tools for UNIQA Stock Analysis
When running UNIQA Insurance's price analysis, check to measure UNIQA Insurance's 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 UNIQA Insurance is operating at the current time. Most of UNIQA Insurance's value examination focuses on studying past and present price action to predict the probability of UNIQA Insurance's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move UNIQA Insurance's price. Additionally, you may evaluate how the addition of UNIQA Insurance to your portfolios can decrease your overall portfolio volatility.