Simt High Yield Fund Analysis
SHYAX Fund | USD 5.42 0.01 0.18% |
Simt High Yield is overvalued with Real Value of 4.97 and Hype Value of 5.42. The main objective of Simt High fund analysis is to determine its intrinsic value, which is an estimate of what Simt High Yield is worth, separate from its market price. There are two main types of Simt Mutual Fund analysis: fundamental analysis and technical analysis. Fundamental analysis focuses on the financial and economic stability of Simt High Yield. On the other hand, technical analysis, focuses on the price and volume data of Simt Mutual Fund to identify patterns and trends that may indicate its future price movements.
The Simt High mutual fund is traded in the USA on NMFQS Exchange, with the market opening at 09:30:00 and closing at 16:00:00 every Mon,Tue,Wed,Thu,Fri except for officially observed holidays in the USA.
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Simt Mutual Fund Analysis Notes
The fund maintains about 92.67% of assets in bonds. Simt High Yield last dividend was 0.03 per share. Large To find out more about Simt High Yield contact the company at 800-342-5734.Simt High Yield Investment Alerts
Latest headline from news.google.com: Keefe, Bruyette Woods Downgrades Federal Home Loan Mortgage Corporation - Preferred Stock - MSN | |
The fund maintains about 92.67% of its assets in bonds |
Simt Market Capitalization
The company currently falls under '' category with a current market capitalization of 0. Market capitalization usually refers to the total value of a company's stock within the entire market. To calculate Simt High's market, we take the total number of its shares issued and multiply it by Simt High'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.Top Simt High Yield Mutual Fund Constituents
SEOXX | Sei Daily Income | Money Market Fund | |
VST | Vistra Energy Corp | Stock |
Institutional Mutual Fund Holders for Simt High
Have you ever been surprised when a price of an equity instrument such as Simt High is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Simt High Yield backward and forwards among themselves. Simt High's institutional investor refers to the entity that pools money to purchase Simt High's securities or originate loans. Institutional investors include commercial and private banks, credit unions, insurance companies, pension funds, hedge funds, endowments, and mutual funds. Operating companies that invest excess capital in these types of assets may also be included in the term and may influence corporate governance by exercising voting rights in their investments.
THHYX | Toews Tactical Income | Mutual Fund | Nontraditional Bond |
Technical Drivers
As of the 28th of November, Simt High has the Downside Deviation of 0.2121, standard deviation of 0.196, and Risk Adjusted Performance of 0.1043. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Simt High Yield, as well as the relationship between them.Simt High Yield Price Movement Analysis
The output start index for this execution was thirteen with a total number of output elements of fourty-eight. The Bollinger Bands is very popular indicator that was developed by John Bollinger. It consist of three lines. Simt High 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 Simt High Yield. When the price bounces off of the lower band and crosses the middle band, then the upper band becomes the price target.
Simt High Outstanding Bonds
Simt High 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. Simt High Yield 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 Simt bonds can be classified according to their maturity, which is the date when Simt High Yield 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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Simt High Predictive Daily Indicators
Simt High 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 Simt High mutual 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.
Daily Balance Of Power | 9.2 T | |||
Rate Of Daily Change | 1.0 | |||
Day Median Price | 5.42 | |||
Day Typical Price | 5.42 | |||
Price Action Indicator | 0.005 | |||
Period Momentum Indicator | 0.01 | |||
Relative Strength Index | 55.09 |
Simt High Forecast Models
Simt High's time-series forecasting models are one of many Simt High's mutual 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 Simt High'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.About Simt Mutual Fund Analysis
Mutual Fund analysis is the technique used by a trader or investor to examine and evaluate how Simt High 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 Simt shares will generate the highest return on investment. We also built our fund 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 Fund such as Simt High. By using and applying Simt Mutual Fund analysis, traders can create a robust methodology for identifying Simt entry and exit points for their positions.
The fund will invest at least 80 percent of its net assets in high yield fixed income securities. It will invest primarily in fixed income securities rated below investment grade , including corporate bonds and debentures, convertible and preferred securities, zero coupon obligations and tranches of collateralized debt obligations and collateralized loan obligations .
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 mutual fund analysis tools, you can find out how much better you can do when adding Simt High to your portfolios without increasing risk or reducing expected return.Did you try this?
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Other Information on Investing in Simt Mutual Fund
Simt High financial ratios help investors to determine whether Simt Mutual 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 Simt with respect to the benefits of owning Simt High security.
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