FT Cboe Beta vs. Three Year Return
| FSEP Etf | USD 46.41 0.15 0.32% |
For FT Cboe profitability analysis, we use financial ratios and fundamental drivers that measure the ability of FT Cboe to generate income relative to revenue, assets, operating costs, and current equity. These fundamental indicators attest to how well FT Cboe Vest utilizes its assets to generate profit and value for its shareholders. The profitability module also shows relationships between FT Cboe's most relevant fundamental drivers. It provides multiple suggestions of what could affect the performance of FT Cboe Vest over time as well as its relative position and ranking within its peers.
FSEP |
The market value of FT Cboe Vest is measured differently than its book value, which is the value of FSEP that is recorded on the company's balance sheet. Investors also form their own opinion of FT Cboe's value that differs from its market value or its book value, called intrinsic value, which is FT Cboe'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 FT Cboe's market value can be influenced by many factors that don't directly affect FT Cboe'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 FT Cboe's value and its price as these two are different measures arrived at by different means. Investors typically determine if FT Cboe is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, FT Cboe'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.
FT Cboe Vest Three Year Return vs. Beta Fundamental Analysis
Comparative valuation techniques use various fundamental indicators to help in determining FT Cboe's current stock value. Our valuation model uses many indicators to compare FT Cboe value to that of its competitors to determine the firm's financial worth. FT Cboe Vest is rated # 5 ETF in beta as compared to similar ETFs. It is rated # 4 ETF in three year return as compared to similar ETFs reporting about 14.52 of Three Year Return per Beta. Comparative valuation analysis is a catch-all technique that is used if you cannot value FT Cboe by discounting back its dividends or cash flows. It compares the stock's price multiples to nearest competition to determine if the stock is relatively undervalued or overvalued.FSEP Three Year Return vs. Beta
Beta is one of the most important measures of equity market volatility. Beta can be thought of as asset elasticity or sensitivity to market. In other words, it is a number that shows the relationship of an equity instrument to the financial market in which this instrument is traded. For example, if Beta of equity is 2, it is expected to significantly outperform market when the market is going up and significantly underperform when the market is going down. Similarly, Beta of 1 indicates that an asset and market will generate similar returns over time.
FT Cboe |
| = | 0.62 |
In a nutshell, Beta is a measure of individual stock risk relative to the overall volatility of the stock market. and is calculated based on very sound finance theory - Capital Assets Pricing Model (CAPM).However, since Beta is calculated based on historical price movements it may not predict how a firm's stock is going to perform in the future.
Tree Year Return shows the total annualized return generated from holding a fund or ETFs for the last three years. The return measure includes capital appreciation, losses, dividends paid, and all capital gains distributions. This return indicator is considered by many investors to be solid measures of fund mid-term performance.
FT Cboe |
| = | 9.00 % |
Although Three Year Fund Return indicator can give a sense of overall fund mid-term potential, it is recommended to compare fund performances against other similar funds, ETFs, or market benchmarks for the same 3 year interval.
FSEP Three Year Return Comparison
FT Cboe is currently under evaluation in three year return as compared to similar ETFs.
Beta Analysis
As returns on the market increase, FT Cboe's returns are expected to increase less than the market. However, during the bear market, the loss of holding FT Cboe is expected to be smaller as well.
FT Cboe Profitability Projections
The most important aspect of a successful company is its ability to generate a profit. For investors in FT Cboe, profitability is also one of the essential criteria for including it into their portfolios because, without profit, FT Cboe will eventually generate negative long term returns. The profitability progress is the general direction of FT Cboe's change in net profit over the period of time. It can combine multiple indicators of FT Cboe, where stable trends show no significant progress. An accelerating trend is seen as positive, while a decreasing one is unfavorable. A rising trend means that profits are rising, and operational efficiency may be rising as well. A decreasing trend is a sign of poor performance and may indicate upcoming losses.
Under normal market conditions, the fund will invest substantially all of its assets in FLEX Options that reference the performance of the SPDR SP 500 ETF Trust. FT CBOE is traded on BATS Exchange in the United States.
FSEP Profitability Driver Comparison
Profitability drivers are factors that can directly affect your investment outlook on FT Cboe. Investors often realize that things won't turn out the way they predict. There are maybe way too many unforeseen events and contingencies during the holding period of FT Cboe position where the market behavior may be hard to predict, tax policy changes, gold or oil price hikes, calamities change, and many others. The question is, are you prepared for these unexpected events? Although some of these situations are obviously beyond your control, you can still follow the important profit indicators to know where you should focus on when things like this occur. Below are some of the FT Cboe's important profitability drivers and their relationship over time.
Use FT Cboe in pair-trading
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 FT Cboe 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 FT Cboe will appreciate offsetting losses from the drop in the long position's value.FT Cboe Pair Trading
FT Cboe Vest Pair Trading Analysis
The ability to find closely correlated positions to FT Cboe could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace FT Cboe 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 FT Cboe - 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 FT Cboe Vest to buy it.
The correlation of FT Cboe 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 FT Cboe moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if FT Cboe Vest 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 FT Cboe 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.Use Investing Themes to Complement your FT Cboe position
In addition to having FT Cboe in your portfolios, you can quickly add positions using our predefined set of ideas and optimize them against your very unique investing style. A single investing idea is a collection of funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of investment themes. After you determine your investment opportunity, you can then find an optimal portfolio that will maximize potential returns on the chosen idea or minimize its exposure to market volatility.Did You Try This Idea?
Run Emerging Markets ETFs Thematic Idea Now
Emerging Markets ETFs
ETF themes focus on helping investors to gain exposure to a broad range of assets, diversify, and lower overall costs. The Emerging Markets ETFs theme has 29 constituents at this time.
You can either use a buy-and-hold strategy to lock in the entire theme or actively trade it to take advantage of the short-term price volatility of individual constituents. Macroaxis can help you discover thousands of investment opportunities in different asset classes. In addition, you can partner with us for reliable portfolio optimization as you plan to utilize Emerging Markets ETFs Theme or any other thematic opportunities.
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To fully project FT Cboe's future profitability, investors should examine all historical financial statements. These statements provide investors with a comprehensive snapshot of the financial position of FT Cboe Vest at a specified time, usually calculated after every quarter, six months, or one year. Three primary documents fall into the category of financial statements. These documents include FT Cboe's income statement, its balance sheet, and the statement of cash flows.