SCOR SE (Germany) Market Value

SDRC Stock  EUR 23.10  0.24  1.05%   
SCOR SE's market value is the price at which a share of SCOR SE trades on a public exchange. It measures the collective expectations of SCOR SE investors about its performance. SCOR SE is trading at 23.10 as of the 22nd of December 2024. This is a 1.05 percent increase since the beginning of the trading day. The stock's lowest day price was 22.84.
With this module, you can estimate the performance of a buy and hold strategy of SCOR SE and determine expected loss or profit from investing in SCOR SE over a given investment horizon. Check out SCOR SE Correlation, SCOR SE Volatility and SCOR SE Alpha and Beta module to complement your research on SCOR SE.
Symbol

Please note, there is a significant difference between SCOR SE's value and its price as these two are different measures arrived at by different means. Investors typically determine if SCOR SE is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, SCOR SE'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.

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.
0.00
07/31/2023
No Change 0.00  0.0 
In 1 year 4 months and 26 days
12/22/2024
0.00
If you would invest  0.00  in SCOR SE on July 31, 2023 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 510 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.

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.
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.
Hype
Prediction
LowEstimatedHigh
20.9623.1025.24
Details
Intrinsic
Valuation
LowRealHigh
22.9225.0627.20
Details

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 Market Risk Adjusted Performance of 2.15, risk adjusted performance of 0.1127, and Downside Deviation of 1.63 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

    
  0.38  

Below average predictability

SCOR SE has below average predictability. Overlapping area represents the amount of predictability between SCOR SE time series from 31st of July 2023 to 11th of April 2024 and 11th of April 2024 to 22nd 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 0.38 indicates that just about 38.0% of current SCOR SE price fluctuation can be explain by its past prices.
Correlation Coefficient0.38
Spearman Rank Test-0.04
Residual Average0.0
Price Variance13.2

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.