SF Sustainable (Switzerland) Analysis
SFPF Fund | 124.50 0.50 0.40% |
SF Sustainable Property is overvalued with Real Value of 118.5 and Hype Value of 124.5. The main objective of SF Sustainable fund analysis is to determine its intrinsic value, which is an estimate of what SF Sustainable Property is worth, separate from its market price. There are two main types of SFPF Fund analysis: fundamental analysis and technical analysis.
The SF Sustainable fund is traded in Switzerland on SIX Swiss Exchange, with the market opening at 09:00:00 and closing at 17:30:00 every Mon,Tue,Wed,Thu,Fri except for officially observed holidays in Switzerland.
SFPF |
SFPF Fund Analysis Notes
It is possible that SF Sustainable Property fund was delisted, renamed or otherwise removed from the exchange.SF Sustainable Thematic Classifications
In addition to having SF Sustainable fund in your portfolios, you can add positions using our predefined set of ideas and optimize them against your very unique investing style. A single investing idea is a collection of funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of investment themes. After you determine your favorite investment opportunity, you can then obtain an optimal portfolio that will maximize potential returns on the chosen idea or minimize its exposure to market volatility. If you are a result-oriented investor, you can benefit from optimizing one of our existing themes to build an efficient portfolio against your specific investing outlook.
Realty FundsFunds investing in real estate backed instruments | ||
Hybrid Mix FundsFunds investing in combination of stocks, bonds and money market instruments |
Technical Drivers
As of the 1st of December, SF Sustainable owns the Risk Adjusted Performance of (0.01), mean deviation of 0.6539, and Standard Deviation of 0.8226. Our technical analysis interface makes it possible for you to check timely technical drivers of SF Sustainable Property, as well as the relationship between them. Please validate SF Sustainable Property coefficient of variation, variance, and the relationship between the mean deviation and standard deviation to decide if SF Sustainable Property is priced adequately, providing market reflects its prevailing price of 124.5 per share.SF Sustainable Property Price Movement Analysis
The output start index for this execution was nine with a total number of output elements of fifty-two. The Bollinger Bands is very popular indicator that was developed by John Bollinger. It consist of three lines. SF Sustainable middle band is a simple moving average of its typical price. The upper and lower bands are (N) standard deviations above and below the middle band. The bands widen and narrow when the volatility of the price is higher or lower, respectively. The upper and lower bands can also be interpreted as price targets for SF Sustainable Property. When the price bounces off of the lower band and crosses the middle band, then the upper band becomes the price target.
SF Sustainable Outstanding Bonds
SF Sustainable issues bonds to finance its operations. Corporate bonds make up one of the largest components of the U.S. bond market, which is considered the world's largest securities market. SF Sustainable Property uses the proceeds from bond sales for a wide variety of purposes, including financing ongoing mergers and acquisitions, buying new equipment, investing in research and development, buying back their own stock, paying dividends to shareholders, and even refinancing existing debt. Most SFPF bonds can be classified according to their maturity, which is the date when SF Sustainable Property has to pay back the principal to investors. Maturities can be short-term, medium-term, or long-term (more than ten years). Longer-term bonds usually offer higher interest rates but may entail additional risks.
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SF Sustainable Predictive Daily Indicators
SF Sustainable intraday indicators are useful technical analysis tools used by many experienced traders. Just like the conventional technical analysis, daily indicators help intraday investors to analyze the price movement with the timing of SF Sustainable fund daily movement. By combining multiple daily indicators into a single trading strategy, you can limit your risk while still earning strong returns on your managed positions.
SF Sustainable Forecast Models
SF Sustainable's time-series forecasting models are one of many SF Sustainable's fund 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 SF Sustainable'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.Be your own money manager
As an investor, your ultimate goal is to build wealth. Optimizing your investment portfolio is an essential element in this goal. Using our fund analysis tools, you can find out how much better you can do when adding SF Sustainable to your portfolios without increasing risk or reducing expected return.Did you try this?
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Other Information on Investing in SFPF Fund
SF Sustainable financial ratios help investors to determine whether SFPF Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in SFPF with respect to the benefits of owning SF Sustainable security.
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