Franklin FTSE (UK) Analysis
FLQA Etf | 24.61 0.17 0.70% |
Franklin FTSE Asia is overvalued with Real Value of 22.46 and Hype Value of 24.61. The main objective of Franklin FTSE etf analysis is to determine its intrinsic value, which is an estimate of what Franklin FTSE Asia is worth, separate from its market price. There are two main types of Franklin Etf analysis: fundamental analysis and technical analysis.
The Franklin FTSE etf is traded in UK on London Exchange, with the market opening at 08:00:00 and closing at 16:30:00 every Mon,Tue,Wed,Thu,Fri except for officially observed holidays in UK.
Franklin |
Franklin FTSE Asia Investment Alerts
Franklin FTSE Asia generated a negative expected return over the last 90 days |
Management Efficiency
Franklin FTSE's management efficiency ratios could be used to measure how well Franklin FTSE manages its routine affairs as well as how well it operates its assets and liabilities.Leadership effectiveness at Franklin FTSE Asia is a strong indicator of its financial stability. We analyze various metrics to provide insights into the stock's investment viability.
Returns 3 Y 4.7 | Returns 5 Y 4.83 | Returns 1 Y 14.48 | Total Assets 42.7 M | 3 y Exp Return 6.77 |
Top Franklin FTSE Asia Etf Constituents
Technical Drivers
As of the 2nd of December, Franklin FTSE shows the Standard Deviation of 0.8605, mean deviation of 0.6655, and Coefficient Of Variation of (1,657). Franklin FTSE Asia technical analysis allows you to utilize historical prices and volume patterns in order to determine a pattern that computes the direction of the entity's future prices. Please confirm Franklin FTSE Asia coefficient of variation, variance, and the relationship between the mean deviation and standard deviation to decide if Franklin FTSE Asia is priced favorably, providing market reflects its regular price of 24.61 per share.Franklin FTSE Asia 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. Franklin FTSE 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 Franklin FTSE Asia. When the price bounces off of the lower band and crosses the middle band, then the upper band becomes the price target.
Franklin FTSE Outstanding Bonds
Franklin FTSE 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. Franklin FTSE Asia 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 Franklin bonds can be classified according to their maturity, which is the date when Franklin FTSE Asia 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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Franklin FTSE Predictive Daily Indicators
Franklin FTSE 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 Franklin FTSE etf 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.
Franklin FTSE Forecast Models
Franklin FTSE's time-series forecasting models are one of many Franklin FTSE's etf 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 Franklin FTSE'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 Franklin Etf Analysis
Etf analysis is the technique used by a trader or investor to examine and evaluate how Franklin FTSE 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 Franklin shares will generate the highest return on investment. We also built our etf 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 Etf such as Franklin FTSE. By using and applying Franklin Etf analysis, traders can create a robust methodology for identifying Franklin entry and exit points for their positions.
Franklin FTSE is entity of United Kingdom. It is traded as Etf on LSE exchange.
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As an investor, your ultimate goal is to build wealth. Optimizing your investment portfolio is an essential element in this goal. Using our etf analysis tools, you can find out how much better you can do when adding Franklin FTSE to your portfolios without increasing risk or reducing expected return.Did you try this?
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Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in Franklin FTSE Asia. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in board of governors. You can also try the Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.