Swisscom Ag Stock Market Value
SWZCF Stock | USD 561.00 7.20 1.27% |
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 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 Swisscom.
03/26/2024 |
| 04/25/2024 |
If you would invest 0.00 in Swisscom on March 26, 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 Radcom, FingerMotion, KORE Group, Consolidated Communications, Grupo Televisa, Orange SA, and Telefonica Brasil. 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 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 Swisscom AG upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | (0.11) | |||
Maximum Drawdown | 11.1 | |||
Value At Risk | (2.24) | |||
Potential Upside | 3.02 |
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 | (0.03) | |||
Jensen Alpha | (0.07) | |||
Total Risk Alpha | (0.30) | |||
Treynor Ratio | 0.423 |
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
Swisscom AG owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0535, which indicates the firm had a -0.0535% return per unit of risk over the last 3 months. Swisscom AG exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Swisscom's Risk Adjusted Performance of (0.03), coefficient of variation of (1,929), and Variance of 2.37 to confirm the risk estimate we provide. The entity has a beta of -0.21, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Swisscom are expected to decrease at a much lower rate. During the bear market, Swisscom is likely to outperform the market. Swisscom AG has an expected return of -0.085%. Please make sure to validate Swisscom maximum drawdown, as well as the relationship between the daily balance of power and price action indicator , to decide if Swisscom AG performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.06 |
Very weak reverse predictability
Swisscom AG has very weak reverse predictability. Overlapping area represents the amount of predictability between Swisscom time series from 26th of March 2024 to 10th of April 2024 and 10th of April 2024 to 25th 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 -0.06 indicates that barely 6.0% of current Swisscom price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.06 | |
Spearman Rank Test | 0.32 | |
Residual Average | 0.0 | |
Price Variance | 20.44 |
Swisscom AG lagged returns against current returns
Autocorrelation, which is Swisscom 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 Swisscom's pink sheet 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 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 |
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 pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Swisscom pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Swisscom pink sheet 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 pink sheet 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 pink sheet 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. Note that the Swisscom AG information on this page should be used as a complementary analysis to other Swisscom's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Sign In To Macroaxis module to sign in to explore Macroaxis' wealth optimization platform and fintech modules.
Complementary Tools for Swisscom Pink Sheet 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 pink sheet 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, pink sheet market cycles, or different charting patterns.