First Trust North Etf Year To Date Return
| EMLP Etf | USD 36.49 0.15 0.41% |
First Trust North fundamentals help investors to digest information that contributes to First Trust's financial success or failures. It also enables traders to predict the movement of First Etf. The fundamental analysis module provides a way to measure First Trust'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 First Trust etf.
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First Trust North ETF Year To Date Return Analysis
First Trust's Year to Date Return (YTD) is the total return generated from holding a security from the beginning of the current fiscal year. In other words, YTD Return represents the capital appreciation of your investments from the start of the current fiscal year.
More About Year To Date Return | All Equity Analysis
YTD Return | = | (Mean of Monthly Returns - 1) | X | 100% |
Year-To-Date typically refers to a period starting from the beginning of the current year and continuing up to the present day. Investors should becareful when comparing YTD ratios if not much of the year has occurred as research shows that YTD measures are more sensitive to early periods than late.
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According to the company's disclosures, First Trust North has a Year To Date Return of 0.0%. This indicator is about the same for the First Trust average (which is currently at 0.0) family and about the same as Energy Limited Partnership (which currently averages 0.0) category. The year to date return for all United States etfs is 100.0% lower than that of the firm.
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Fund Asset Allocation for First Trust
The fund consists of 96.7% investments in stocks, with the rest of investments allocated between various types of exotic instruments.Asset allocation divides First Trust'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.
First Fundamentals
| Price To Earning | 15.76 X | |||
| Price To Book | 1.87 X | |||
| Price To Sales | 1.48 X | |||
| Number Of Employees | 220 | |||
| Beta | 0.72 | |||
| Total Asset | 2.37 B | |||
| One Year Return | 37.30 % | |||
| Three Year Return | 18.20 % | |||
| Five Year Return | 12.20 % | |||
| Ten Year Return | 7.00 % | |||
| Net Asset | 2.37 B | |||
| Last Dividend Paid | 0.28 | |||
| Equity Positions Weight | 96.70 % |
About First Trust Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze First Trust North's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of First Trust using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of First Trust North 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 First Trust
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 First Trust 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 First Trust will appreciate offsetting losses from the drop in the long position's value.Moving together with First Etf
| 0.78 | AMJ | JPMorgan | PairCorr |
| 0.93 | MLPA | Global X MLP | PairCorr |
| 0.98 | MLPX | Global X MLP Potential Growth | PairCorr |
| 0.99 | TPYP | Tortoise North American Potential Growth | PairCorr |
Moving against First Etf
The ability to find closely correlated positions to First Trust could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace First Trust 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 First Trust - 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 First Trust North to buy it.
The correlation of First Trust 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 First Trust moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if First Trust North 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 First Trust 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 First Trust Piotroski F Score and First Trust Altman Z Score analysis. You can also try the Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
The market value of First Trust North is measured differently than its book value, which is the value of First that is recorded on the company's balance sheet. Investors also form their own opinion of First Trust's value that differs from its market value or its book value, called intrinsic value, which is First Trust'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 First Trust's market value can be influenced by many factors that don't directly affect First Trust'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 First Trust's value and its price as these two are different measures arrived at by different means. Investors typically determine if First Trust is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, First Trust'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.