SCOR SE (Germany) Market Value
| SDRC Stock | EUR 23.10 0.24 1.05% |
| Symbol | SCOR |
SCOR SE '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 SCOR SE'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 SCOR SE.
| 04/27/2024 |
| 12/23/2024 |
If you would invest 0.00 in SCOR SE on April 27, 2024 and sell it all today you would earn a total of 0.00 from holding SCOR SE or generate 0.0% return on investment in SCOR SE over 240 days. SCOR SE is related to or competes with MUENCHRUECKUNSADR, Swiss Re, HANNRUECKVSE ADR, Everest Group, Reinsurance Group, RenaissanceRe Holdings, and SCOR SE. SCOR SE provides life and non-life reinsurance products worldwide More
SCOR SE 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 SCOR SE'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 SCOR SE upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.63 | |||
| Information Ratio | 0.1192 | |||
| Maximum Drawdown | 13.43 | |||
| Value At Risk | (2.42) | |||
| Potential Upside | 2.93 |
SCOR SE Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SCOR SE's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SCOR SE's standard deviation. In reality, there are many statistical measures that can use SCOR SE historical prices to predict the future SCOR SE's volatility.| Risk Adjusted Performance | 0.1127 | |||
| Jensen Alpha | 0.2738 | |||
| Total Risk Alpha | 0.2169 | |||
| Sortino Ratio | 0.1562 | |||
| Treynor Ratio | 2.14 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of SCOR SE'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.
SCOR SE Backtested Returns
SCOR SE appears to be very steady, given 3 months investment horizon. SCOR SE owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.13, which indicates the company had a 0.13% return per unit of standard deviation over the last 3 months. We have found twenty-nine technical indicators for SCOR SE, which you can use to evaluate the volatility of the entity. Please review SCOR SE's Downside Deviation of 1.63, risk adjusted performance of 0.1127, and Market Risk Adjusted Performance of 2.15 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, SCOR SE holds a performance score of 10. The firm has a beta of 0.13, which indicates not very significant fluctuations relative to the market. As returns on the market increase, SCOR SE's returns are expected to increase less than the market. However, during the bear market, the loss of holding SCOR SE is expected to be smaller as well. Please check SCOR SE's total risk alpha, treynor ratio, value at risk, as well as the relationship between the sortino ratio and maximum drawdown , to make a quick decision on whether SCOR SE's existing price patterns will revert.
Auto-correlation | -0.91 |
Near perfect reversele predictability
SCOR SE has near perfect reversele predictability. Overlapping area represents the amount of predictability between SCOR SE time series from 27th of April 2024 to 25th of August 2024 and 25th of August 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 SCOR SE price movement. The serial correlation of -0.91 indicates that approximately 91.0% of current SCOR SE price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.91 | |
| Spearman Rank Test | -0.83 | |
| Residual Average | 0.0 | |
| Price Variance | 3.5 |
SCOR SE lagged returns against current returns
Autocorrelation, which is SCOR SE 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 SCOR SE's stock expected returns. We can calculate the autocorrelation of SCOR SE returns to help us make a trade decision. For example, suppose you find that SCOR SE 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 |
SCOR SE 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 SCOR SE stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SCOR SE stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SCOR SE stock over time.
Current vs Lagged Prices |
| Timeline |
SCOR SE Lagged Returns
When evaluating SCOR SE's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SCOR SE stock have on its future price. SCOR SE 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, SCOR SE autocorrelation shows the relationship between SCOR SE stock current value and its past values and can show if there is a momentum factor associated with investing in SCOR SE.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in SCOR Stock
SCOR SE financial ratios help investors to determine whether SCOR 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 SCOR with respect to the benefits of owning SCOR SE security.