Swiss Life (Switzerland) Market Value
SLHN Stock | CHF 632.20 0.80 0.13% |
Symbol | Swiss |
Swiss Life '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 Swiss Life'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 Swiss Life.
04/09/2022 |
| 03/29/2024 |
If you would invest 0.00 in Swiss Life on April 9, 2022 and sell it all today you would earn a total of 0.00 from holding Swiss Life Holding or generate 0.0% return on investment in Swiss Life over 720 days. Swiss Life is related to or competes with Hypothekarbank Lenzburg, Zurich Insurance, Basler Kantonalbank, Graubuendner Kantonalbank, VP Bank, Berner Kantonalbank, and Luzerner Kantonalbank. Swiss Life Holding AG provides life insurance, risk, pensions, and financial solutions for private and corporate clients More
Swiss Life 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 Swiss Life'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 Swiss Life Holding upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 1.63 | |||
Information Ratio | 0.0026 | |||
Maximum Drawdown | 7.4 | |||
Value At Risk | (1.39) | |||
Potential Upside | 1.32 |
Swiss Life Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Swiss Life's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Swiss Life's standard deviation. In reality, there are many statistical measures that can use Swiss Life historical prices to predict the future Swiss Life's volatility.Risk Adjusted Performance | 0.0743 | |||
Jensen Alpha | 0.0245 | |||
Total Risk Alpha | (0.12) | |||
Sortino Ratio | 0.0018 | |||
Treynor Ratio | 0.1546 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Swiss Life'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.
Swiss Life Holding Backtested Returns
We consider Swiss Life very steady. Swiss Life Holding owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.13, which indicates the firm had a 0.13% return per unit of risk over the last 3 months. We have found thirty technical indicators for Swiss Life Holding, which you can use to evaluate the volatility of the company. Please validate Swiss Life's Semi Deviation of 1.32, coefficient of variation of 800.93, and Risk Adjusted Performance of 0.0743 to confirm if the risk estimate we provide is consistent with the expected return of 0.15%. Swiss Life has a performance score of 10 on a scale of 0 to 100. The entity has a beta of 0.83, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Swiss Life's returns are expected to increase less than the market. However, during the bear market, the loss of holding Swiss Life is expected to be smaller as well. Swiss Life Holding right now has a risk of 1.11%. Please validate Swiss Life total risk alpha, treynor ratio, and the relationship between the jensen alpha and sortino ratio , to decide if Swiss Life will be following its existing price patterns.
Auto-correlation | 0.40 |
Average predictability
Swiss Life Holding has average predictability. Overlapping area represents the amount of predictability between Swiss Life time series from 9th of April 2022 to 4th of April 2023 and 4th of April 2023 to 29th of March 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 Swiss Life Holding price movement. The serial correlation of 0.4 indicates that just about 40.0% of current Swiss Life price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.4 | |
Spearman Rank Test | 0.13 | |
Residual Average | 0.0 | |
Price Variance | 1269.25 |
Swiss Life Holding lagged returns against current returns
Autocorrelation, which is Swiss Life 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 Swiss Life's stock expected returns. We can calculate the autocorrelation of Swiss Life returns to help us make a trade decision. For example, suppose you find that Swiss Life 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 |
Swiss Life 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 Swiss Life stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Swiss Life stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Swiss Life stock over time.
Current vs Lagged Prices |
Timeline |
Swiss Life Lagged Returns
When evaluating Swiss Life's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Swiss Life stock have on its future price. Swiss Life 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, Swiss Life autocorrelation shows the relationship between Swiss Life stock current value and its past values and can show if there is a momentum factor associated with investing in Swiss Life Holding.
Regressed Prices |
Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Swiss Life in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Swiss Life's short interest history, or implied volatility extrapolated from Swiss Life options trading.
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Check out Swiss Life Correlation, Swiss Life Volatility and Swiss Life Alpha and Beta module to complement your research on Swiss Life. You can also try the Stock Screener module to find equities using a custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook..
Complementary Tools for Swiss Stock analysis
When running Swiss Life's price analysis, check to measure Swiss Life'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 Swiss Life is operating at the current time. Most of Swiss Life's value examination focuses on studying past and present price action to predict the probability of Swiss Life's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Swiss Life's price. Additionally, you may evaluate how the addition of Swiss Life to your portfolios can decrease your overall portfolio volatility.
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Swiss Life 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.