Swisscom (Switzerland) Market Value
| SCMN Stock | CHF 507.00 2.00 0.40% |
| Symbol | Swisscom |
Swisscom '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 Swisscom'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 Swisscom.
| 03/31/2024 |
| 04/30/2024 |
If you would invest 0.00 in Swisscom on March 31, 2024 and sell it all today you would earn a total of 0.00 from holding Swisscom AG or generate 0.0% return on investment in Swisscom over 30 days. Swisscom is related to or competes with Swiss Life, Zurich Insurance, Swiss Re, ABB, and Novartis. Swisscom AG provides telecommunication services primarily in Switzerland, Italy, and internationally More
Swisscom 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 Swisscom'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 Swisscom AG upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.7301 | |||
| Information Ratio | (0.05) | |||
| Maximum Drawdown | 6.24 | |||
| Value At Risk | (1.17) | |||
| Potential Upside | 1.38 |
Swisscom Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Swisscom's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Swisscom's standard deviation. In reality, there are many statistical measures that can use Swisscom historical prices to predict the future Swisscom's volatility.| Risk Adjusted Performance | 0.0298 | |||
| Jensen Alpha | 0.0247 | |||
| Total Risk Alpha | (0.09) | |||
| Sortino Ratio | (0.07) | |||
| Treynor Ratio | 0.4647 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Swisscom'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.
Swisscom AG Backtested Returns
We consider Swisscom very steady. Swisscom AG owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.047, which indicates the firm had a 0.047% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Swisscom AG, which you can use to evaluate the volatility of the company. Please validate Swisscom's Semi Deviation of 0.6898, coefficient of variation of 2364.25, and Risk Adjusted Performance of 0.0298 to confirm if the risk estimate we provide is consistent with the expected return of 0.0449%. Swisscom has a performance score of 3 on a scale of 0 to 100. The entity has a beta of 0.0642, which indicates not very significant fluctuations relative to the market. As returns on the market increase, Swisscom's returns are expected to increase less than the market. However, during the bear market, the loss of holding Swisscom is expected to be smaller as well. Swisscom AG right now has a risk of 0.95%. Please validate Swisscom standard deviation, total risk alpha, treynor ratio, as well as the relationship between the jensen alpha and sortino ratio , to decide if Swisscom will be following its existing price patterns.
Auto-correlation | 0.21 |
Weak predictability
Swisscom AG has weak predictability. Overlapping area represents the amount of predictability between Swisscom time series from 31st of March 2024 to 15th of April 2024 and 15th of April 2024 to 30th of April 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 Swisscom AG price movement. The serial correlation of 0.21 indicates that over 21.0% of current Swisscom price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.21 | |
| Spearman Rank Test | 0.44 | |
| Residual Average | 0.0 | |
| Price Variance | 23.05 |
Swisscom AG lagged returns against current returns
Autocorrelation, which is Swisscom 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 Swisscom's stock expected returns. We can calculate the autocorrelation of Swisscom returns to help us make a trade decision. For example, suppose you find that Swisscom 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 |
Swisscom 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 Swisscom stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Swisscom stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Swisscom stock over time.
Current vs Lagged Prices |
| Timeline |
Swisscom Lagged Returns
When evaluating Swisscom's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Swisscom stock have on its future price. Swisscom 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, Swisscom autocorrelation shows the relationship between Swisscom stock current value and its past values and can show if there is a momentum factor associated with investing in Swisscom AG.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Check out Swisscom Correlation, Swisscom Volatility and Swisscom Alpha and Beta module to complement your research on Swisscom. You can also try the Money Managers module to screen money managers from public funds and ETFs managed around the world.
Complementary Tools for Swisscom Stock analysis
When running Swisscom's price analysis, check to measure Swisscom'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 Swisscom is operating at the current time. Most of Swisscom's value examination focuses on studying past and present price action to predict the probability of Swisscom's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Swisscom's price. Additionally, you may evaluate how the addition of Swisscom to your portfolios can decrease your overall portfolio volatility.
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Swisscom technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.