SANOMA - (Germany) Market Value
| SNQB Stock | EUR 8.34 0.20 2.46% |
| Symbol | SANOMA |
SANOMA - '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 SANOMA -'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 SANOMA -.
| 01/06/2025 |
| 02/05/2025 |
If you would invest 0.00 in SANOMA - on January 6, 2025 and sell it all today you would earn a total of 0.00 from holding SANOMA Dusseldorf or generate 0.0% return on investment in SANOMA - over 30 days. SANOMA - is related to or competes with NTT DATA, DICKER DATA, Pure Storage, DATAGROUP, and China DatangRenewable. More
SANOMA - 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 SANOMA -'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 SANOMA Dusseldorf upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.42 | |||
| Information Ratio | 0.2004 | |||
| Maximum Drawdown | 9.5 | |||
| Value At Risk | (1.84) | |||
| Potential Upside | 2.73 |
SANOMA - Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SANOMA -'s investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SANOMA -'s standard deviation. In reality, there are many statistical measures that can use SANOMA - historical prices to predict the future SANOMA -'s volatility.| Risk Adjusted Performance | 0.2164 | |||
| Jensen Alpha | 0.3813 | |||
| Total Risk Alpha | 0.2469 | |||
| Sortino Ratio | 0.2117 | |||
| Treynor Ratio | (2.27) |
SANOMA Dusseldorf Backtested Returns
SANOMA - appears to be not too volatile, given 3 months investment horizon. SANOMA Dusseldorf owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.19, which indicates the company had a 0.19 % return per unit of standard deviation over the last 3 months. We have found twenty-eight technical indicators for SANOMA Dusseldorf, which you can use to evaluate the volatility of the entity. Please review SANOMA -'s Downside Deviation of 1.42, market risk adjusted performance of (2.26), and Risk Adjusted Performance of 0.2164 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, SANOMA - holds a performance score of 14. The firm has a beta of -0.16, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning SANOMA - are expected to decrease at a much lower rate. During the bear market, SANOMA - is likely to outperform the market. Please check SANOMA -'s treynor ratio, value at risk, and the relationship between the sortino ratio and maximum drawdown , to make a quick decision on whether SANOMA -'s existing price patterns will revert.
Auto-correlation | 0.26 |
Poor predictability
SANOMA Dusseldorf has poor predictability. Overlapping area represents the amount of predictability between SANOMA - time series from 6th of January 2025 to 21st of January 2025 and 21st of January 2025 to 5th of February 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of SANOMA Dusseldorf price movement. The serial correlation of 0.26 indicates that nearly 26.0% of current SANOMA - price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.26 | |
| Spearman Rank Test | 0.65 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
SANOMA Dusseldorf lagged returns against current returns
Autocorrelation, which is SANOMA - 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 SANOMA -'s stock expected returns. We can calculate the autocorrelation of SANOMA - returns to help us make a trade decision. For example, suppose you find that SANOMA - 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 |
SANOMA - 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 SANOMA - stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SANOMA - stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SANOMA - stock over time.
Current vs Lagged Prices |
| Timeline |
SANOMA - Lagged Returns
When evaluating SANOMA -'s market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SANOMA - stock have on its future price. SANOMA - 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, SANOMA - autocorrelation shows the relationship between SANOMA - stock current value and its past values and can show if there is a momentum factor associated with investing in SANOMA Dusseldorf.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Additional Tools for SANOMA Stock Analysis
When running SANOMA -'s price analysis, check to measure SANOMA -'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 SANOMA - is operating at the current time. Most of SANOMA -'s value examination focuses on studying past and present price action to predict the probability of SANOMA -'s future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move SANOMA -'s price. Additionally, you may evaluate how the addition of SANOMA - to your portfolios can decrease your overall portfolio volatility.