Swiss Life Holding Stock Analysis

Swiss Pink Sheet Analysis Notes

About 31.0% of the company shares are owned by institutional investors. The company has price-to-book ratio of 1.39. Typically companies with comparable Price to Book (P/B) are able to outperform the market in the long run. Swiss Life Holding has Price/Earnings To Growth (PEG) ratio of 1.87. The entity recorded earning per share (EPS) of 44.38. The firm last dividend was issued on the 26th of April 2022. Swiss Life Holding AG provides life insurance, risk, pensions, and financial solutions for private and corporate clients. Swiss Life Holding AG was founded in 1857 and is headquartered in Zurich, Switzerland. Swiss Life operates under InsuranceDiversified classification in the United States and is traded on OTC Exchange. It employs 10890 people.The quote for Swiss Life Holding is published daily by the National Quotation Bureau and the company does not need to meet minimum requirements or file with the SEC. To find out more about Swiss Life Holding contact Patrick Frost at 41 43 284 33 11 or learn more at https://www.swisslife.com.

Swiss Market Capitalization

The company currently falls under 'Large-Cap' category with a current market capitalization of 17.75 B. Market capitalization usually refers to the total value of a company's stock within the entire market. To calculate Swiss Life's market, we take the total number of its shares issued and multiply it by Swiss Life's current market price. To manage market risk and economic uncertainty, many investors today build portfolios that are diversified across equities with different market capitalizations. However, as a general rule, conservative investors tend to hold large-cap stocks, and those looking for more risk prefer small-cap and mid-cap equities.

Swiss Profitablity

The company has Profit Margin (PM) of 0.06 %, which maeans that even a very small decline in it revenue will erase profits resulting in a net loss. This is way below average. Similarly, it shows Operating Margin (OM) of 0.07 %, which suggests for every 100 dollars of sales, it generated a net operating income of $0.07.

Technical Drivers

As of the 19th of April, Swiss Life has the Coefficient Of Variation of (11,924), risk adjusted performance of 5.0E-4, and Variance of 2.05. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Swiss Life Holding, as well as the relationship between them. In other words, you can use this information to find out if the company will indeed mirror its model of past prices and volume data, or the prices will eventually revert. We were able to break down thirteen technical drivers for Swiss Life Holding, which can be compared to its competition. Please validate Swiss Life Holding variance and value at risk to decide if Swiss Life is priced more or less accurately, providing market reflects its prevalent price of 679.94 per share. Given that Swiss Life Holding has information ratio of (0.06), we advise you to double-check Swiss Life Holding's current market performance to make sure the company can sustain itself at a future point.

Swiss Life Holding Price Movement Analysis

Swiss Life Predictive Daily Indicators

Swiss Life Forecast Models

Swiss Life's time-series forecasting models are one of many Swiss Life's pink sheet analysis techniques aimed at predicting future share value based on previously observed values. Time-series forecasting models ae widely used for non-stationary data. Non-stationary data are called the data whose statistical properties e.g. the mean and standard deviation are not constant over time but instead, these metrics vary over time. These non-stationary Swiss Life's historical data is usually called time-series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the market movement and maximize returns from investment trading.

Pink Sheet analysis is the technique used by a trader or investor to examine and evaluate how Swiss Life prices is reacting to, or reflecting on a current market direction and economic conditions. It can be used to make informed decisions about market timing, and when buying or selling Swiss shares will generate the highest return on investment. We also built our pink sheet analysis module to help investors to gain an insight into the world economy as a whole, the stock market, thematic ideas. a specific sector, or an individual Pink Sheet such as Swiss Life. By using and applying Swiss Pink Sheet analysis, traders can create a robust methodology for identifying Swiss entry and exit points for their positions.

Check out World Market Map to better understand how to build diversified portfolios, which includes a position in Swiss Life Holding. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in unemployment. Note that the Swiss Life Holding information on this page should be used as a complementary analysis to other Swiss Life'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 Cryptocurrency Center module to build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency.

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.