Research Portfolio Institutional Fund Analysis
JAGRX Fund | USD 59.32 0.48 0.82% |
Research Portfolio Institutional is fairly valued with Real Value of 58.4 and Hype Value of 59.32. The main objective of Research Portfolio fund analysis is to determine its intrinsic value, which is an estimate of what Research Portfolio Institutional is worth, separate from its market price. There are two main types of Research Mutual Fund analysis: fundamental analysis and technical analysis. Fundamental analysis focuses on the financial and economic stability of Research Portfolio Institutional. On the other hand, technical analysis, focuses on the price and volume data of Research Mutual Fund to identify patterns and trends that may indicate its future price movements.
The Research Portfolio 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.
Research |
Research Mutual Fund Analysis Notes
The fund generated five year return of 18.0%. Research Portfolio retains 99.48% of assets under management (AUM) in equities. This fund last dividend was 0.05 per share. Large Growth To learn more about Research Portfolio Institutional call the company at 877-335-2687.Research Portfolio Investment Alerts
The fund retains 99.48% of its assets under management (AUM) in equities |
Research 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 Research Portfolio's market, we take the total number of its shares issued and multiply it by Research Portfolio'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 Research Portfolio Institutional Mutual Fund Constituents
LLY | Eli Lilly and | Stock | |
UNH | UnitedHealth Group Incorporated | Stock | |
V | Visa Class A | Stock | |
AAPL | Apple Inc | Stock | |
TXN | Texas Instruments Incorporated | Stock | |
NVDA | NVIDIA | Stock | |
MSFT | Microsoft | Stock | |
MRK | Merck Company | Stock | |
MA | Mastercard | Stock | |
GOOG | Alphabet Inc Class C | Stock | |
CRM | Salesforce | Stock | |
AMZN | Amazon Inc | Stock | |
ADBE | Adobe Systems Incorporated | Stock | |
MO | Altria Group | Stock | |
GD | General Dynamics | Stock | |
KO | The Coca Cola | Stock | |
AMT | American Tower Corp | Stock |
Technical Drivers
As of the 2nd of December, Research Portfolio holds the Semi Deviation of 1.11, coefficient of variation of 785.17, and Risk Adjusted Performance of 0.1003. Research Portfolio technical analysis gives you tools to exploit past prices in attempt to determine a pattern that determines the direction of the fund's future prices.Research Portfolio Price Movement Analysis
The output start index for this execution was thirty-five with a total number of output elements of twenty-six. The Bollinger Bands is very popular indicator that was developed by John Bollinger. It consist of three lines. Research Portfolio 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 Research Portfolio. When the price bounces off of the lower band and crosses the middle band, then the upper band becomes the price target.
Research Portfolio Outstanding Bonds
Research Portfolio 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. Research Portfolio 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 Research bonds can be classified according to their maturity, which is the date when Research Portfolio Institutional 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.
Dana 575 percent Corp BondUS235822AB96 | View | |
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Boeing Co 2196 Corp BondUS097023DG73 | View | |
HSBC Holdings PLC Corp BondUS404280DR76 | View | |
MPLX LP 4125 Corp BondUS55336VAK61 | View | |
MPLX LP 52 Corp BondUS55336VAL45 | View | |
International Game Technology Corp BondUS460599AD57 | View | |
BNP Paribas FRN Corp BondUSF1R15XK367 | View |
Research Portfolio Predictive Daily Indicators
Research Portfolio 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 Research Portfolio 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 | 1.01 | |||
Day Median Price | 59.32 | |||
Day Typical Price | 59.32 | |||
Price Action Indicator | 0.24 | |||
Period Momentum Indicator | 0.48 |
Research Portfolio Forecast Models
Research Portfolio's time-series forecasting models are one of many Research Portfolio'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 Research Portfolio'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 Research Mutual Fund Analysis
Mutual Fund analysis is the technique used by a trader or investor to examine and evaluate how Research Portfolio 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 Research 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 Research Portfolio. By using and applying Research Mutual Fund analysis, traders can create a robust methodology for identifying Research entry and exit points for their positions.
The Portfolio pursues its investment objective by investing primarily in common stocks selected for their growth potential. It may invest in companies of any size, from larger, well-established companies to smaller, emerging growth companies. The Portfolio may lend portfolio securities on a short-term or long-term basis to certain qualified broker-dealers and institutions, in an amount equal to up to one-third of its total assets as determined at the time of the loan origination.
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Other Information on Investing in Research Mutual Fund
Research Portfolio financial ratios help investors to determine whether Research 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 Research with respect to the benefits of owning Research Portfolio security.
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