Scor Se Stock Market Value
| SZCRF Stock | USD 23.40 0.00 0.00% |
| 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 pink sheet 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.
| 11/18/2024 |
| 12/18/2024 |
If you would invest 0.00 in SCOR SE on November 18, 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 30 days. SCOR SE is related to or competes with Maiden Holdings, Renaissancere Holdings, Greenlight Capital, Reinsurance Group, and Siriuspoint. SCOR SE, together with its subsidiaries, provides life and non-life reinsurance products in Europe, the Middle East, Afr... 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 pink sheet 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.
| Information Ratio | 0.0527 | |||
| Maximum Drawdown | 7.73 |
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 | 0.0851 | |||
| Jensen Alpha | 0.1149 | |||
| Total Risk Alpha | 0.0273 | |||
| Treynor Ratio | 2.68 |
SCOR SE Backtested Returns
At this point, SCOR SE is very steady. SCOR SE owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.12, which indicates the company had a 0.12% return per unit of standard deviation over the last 3 months. We have found sixteen technical indicators for SCOR SE, which you can use to evaluate the volatility of the entity. Please validate SCOR SE's Standard Deviation of 1.13, risk adjusted performance of 0.0851, and Market Risk Adjusted Performance of 2.69 to confirm if the risk estimate we provide is consistent with the expected return of 0.13%. SCOR SE has a performance score of 9 on a scale of 0 to 100. The firm has a beta of 0.0439, 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. SCOR SE currently has a risk of 1.16%. Please validate SCOR SE treynor ratio and rate of daily change , to decide if SCOR SE will be following its existing price patterns.
Auto-correlation | 0.00 |
No correlation between past and present
SCOR SE has no correlation between past and present. Overlapping area represents the amount of predictability between SCOR SE time series from 18th of November 2024 to 3rd of December 2024 and 3rd of December 2024 to 18th 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 0.0 indicates that just 0.0% of current SCOR SE price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 1.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
SCOR SE lagged returns against current returns
Autocorrelation, which is SCOR SE pink sheet'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 pink sheet 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 pink sheet 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 pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SCOR SE pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SCOR SE pink sheet 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 pink sheet 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 pink sheet 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 Pink Sheet
SCOR SE financial ratios help investors to determine whether SCOR Pink Sheet 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.