Franklin Ftse India Etf Price To Earning
| FLIN Etf | USD 40.04 0.21 0.53% |
Franklin FTSE India fundamentals help investors to digest information that contributes to Franklin FTSE's financial success or failures. It also enables traders to predict the movement of Franklin Etf. The fundamental analysis module provides a way to measure Franklin FTSE's intrinsic value by examining its available economic and financial indicators, including the cash flow records, the balance sheet account changes, the income statement patterns, and various microeconomic indicators and financial ratios related to Franklin FTSE etf.
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Franklin FTSE India ETF Price To Earning Analysis
Franklin FTSE's Price to Earnings ratio is typically used for current valuation of a company and is one of the most popular ratios that investors monitor daily. Holding a low PE stock is less risky because when a company's profitability falls, it is likely that earnings will also go down as well. In other words, if you start from a lower position, your downside risk is limited. There are also some investors who believe that low Price to Earnings ratio reflects the low pricing because a given company is in trouble. On the other hand, a higher PE ratio means that investors are paying more for each unit of profit.
Generally speaking, the Price to Earnings ratio gives investors an idea of what the market is willing to pay for the company's current earnings.
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Based on the latest financial disclosure, Franklin FTSE India has a Price To Earning of 0.0 times. This indicator is about the same for the Franklin Templeton Investments average (which is currently at 0.0) family and about the same as India Equity (which currently averages 0.0) category. This indicator is about the same for all United States etfs average (which is currently at 0.0).
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Fund Asset Allocation for Franklin FTSE
The fund invests 100.05% of asset under management in tradable equity instruments, with the rest of investments concentrated in .Asset allocation divides Franklin FTSE's investment portfolio among different asset categories to balance risk and reward by investing in a diversified mix of instruments that align with the investor's goals, risk tolerance, and time horizon. Mutual funds, which pool money from multiple investors to buy a diversified portfolio of securities, use asset allocation strategies to manage the risk and return of their portfolios.
Mutual funds allocate their assets by investing in a diversified portfolio of securities, such as stocks, bonds, cryptocurrencies and cash. The specific mix of these securities is determined by the fund's investment objective and strategy. For example, a stock mutual fund may invest primarily in equities, while a bond mutual fund may invest mainly in fixed-income securities. The fund's manager, responsible for making investment decisions, will buy and sell securities in the fund's portfolio as market conditions and the fund's objectives change.
Franklin Fundamentals
| Number Of Employees | 627 | |||
| Beta | 0.49 | |||
| Total Asset | 53.32 M | |||
| One Year Return | 19.30 % | |||
| Three Year Return | 8.60 % | |||
| Five Year Return | 13.20 % | |||
| Net Asset | 53.32 M | |||
| Last Dividend Paid | 0.12 | |||
| Equity Positions Weight | 100.05 % |
About Franklin FTSE Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Franklin FTSE India's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Franklin FTSE using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Franklin FTSE India based on its fundamental data. In general, a quantitative approach, as applied to this etf, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.
Please read more on our fundamental analysis page.
Pair Trading with Franklin FTSE
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Franklin FTSE position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Franklin FTSE will appreciate offsetting losses from the drop in the long position's value.Moving together with Franklin Etf
| 1.0 | INDA | iShares MSCI India | PairCorr |
| 0.99 | EPI | WisdomTree India Earnings | PairCorr |
| 0.92 | SMIN | iShares MSCI India Low Volatility | PairCorr |
| 0.96 | PIN | Invesco India ETF | PairCorr |
Moving against Franklin Etf
| 0.71 | GBTC | Grayscale Bitcoin Trust | PairCorr |
| 0.67 | FNGO | MicroSectors FANG Index | PairCorr |
| 0.66 | FNGS | MicroSectors FANG ETN | PairCorr |
| 0.63 | FNGU | MicroSectors FANG Index Buyout Trend | PairCorr |
| 0.61 | USD | ProShares Ultra Semi | PairCorr |
The ability to find closely correlated positions to Franklin FTSE could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Franklin FTSE when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Franklin FTSE - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Franklin FTSE India to buy it.
The correlation of Franklin FTSE is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Franklin FTSE moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Franklin FTSE India moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Franklin FTSE can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Franklin FTSE Piotroski F Score and Franklin FTSE Altman Z Score analysis. You can also try the Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
The market value of Franklin FTSE India is measured differently than its book value, which is the value of Franklin that is recorded on the company's balance sheet. Investors also form their own opinion of Franklin FTSE's value that differs from its market value or its book value, called intrinsic value, which is Franklin FTSE's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Franklin FTSE's market value can be influenced by many factors that don't directly affect Franklin FTSE's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Franklin FTSE's value and its price as these two are different measures arrived at by different means. Investors typically determine if Franklin FTSE is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Franklin FTSE's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.