Ft Cboe Vest Etf Key Fundamental Indicators
| DFEB Etf | USD 48.31 0.46 0.96% |
As of the 9th of February, FT Cboe owns the Standard Deviation of 0.3099, market risk adjusted performance of 0.1255, and Downside Deviation of 0.3613. FT Cboe Vest technical analysis allows you to utilize past data patterns in order to determine a pattern that computes the direction of the entity's future prices.
FT Cboe's financial statements offer valuable quarterly and annual insights to potential investors, highlighting the company's current and historical financial position, overall management performance, and changes in financial standing over time. Key fundamentals influencing FT Cboe's valuation are provided below:FT Cboe Vest does not at this moment have any fundamental measures for analysis. This module does not cover all equities due to inconsistencies in global equity categorizations. Continue to Equity Screeners to view more equity screening tools. Investors evaluate FT Cboe Vest using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating FT Cboe's intrinsic value - the estimated true worth - helps identify when the stock trades at a discount or premium to fair value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. External factors like market trends, sector rotation, and investor psychology can cause FT Cboe's market price to deviate significantly from intrinsic value.
It's important to distinguish between FT Cboe's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding FT Cboe should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. Conversely, FT Cboe's market price signifies the transaction level at which participants voluntarily complete trades.
FT Cboe 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to FT Cboe's etf what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of FT Cboe.
| 11/11/2025 |
| 02/09/2026 |
If you would invest 0.00 in FT Cboe on November 11, 2025 and sell it all today you would earn a total of 0.00 from holding FT Cboe Vest or generate 0.0% return on investment in FT Cboe over 90 days. FT Cboe is related to or competes with FT Cboe, FT Cboe, First Trust, FT Cboe, First Trust, First Trust, and FT Cboe. Under normal market conditions, the fund will invest substantially all of its assets in FLexible EXchange Options that r... More
FT Cboe Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure FT Cboe's etf current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess FT Cboe Vest upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.3613 | |||
| Information Ratio | (0.15) | |||
| Maximum Drawdown | 1.59 | |||
| Value At Risk | (0.48) | |||
| Potential Upside | 0.6296 |
FT Cboe Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for FT Cboe's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as FT Cboe's standard deviation. In reality, there are many statistical measures that can use FT Cboe historical prices to predict the future FT Cboe's volatility.| Risk Adjusted Performance | 0.0994 | |||
| Jensen Alpha | 0.0107 | |||
| Total Risk Alpha | 0.0037 | |||
| Sortino Ratio | (0.13) | |||
| Treynor Ratio | 0.1155 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of FT Cboe's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
FT Cboe February 9, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0994 | |||
| Market Risk Adjusted Performance | 0.1255 | |||
| Mean Deviation | 0.2113 | |||
| Semi Deviation | 0.2104 | |||
| Downside Deviation | 0.3613 | |||
| Coefficient Of Variation | 698.17 | |||
| Standard Deviation | 0.3099 | |||
| Variance | 0.0961 | |||
| Information Ratio | (0.15) | |||
| Jensen Alpha | 0.0107 | |||
| Total Risk Alpha | 0.0037 | |||
| Sortino Ratio | (0.13) | |||
| Treynor Ratio | 0.1155 | |||
| Maximum Drawdown | 1.59 | |||
| Value At Risk | (0.48) | |||
| Potential Upside | 0.6296 | |||
| Downside Variance | 0.1305 | |||
| Semi Variance | 0.0443 | |||
| Expected Short fall | (0.21) | |||
| Skewness | 0.0496 | |||
| Kurtosis | 1.6 |
FT Cboe Vest Backtested Returns
At this point, FT Cboe is very steady. FT Cboe Vest retains Efficiency (Sharpe Ratio) of 0.15, which denotes the etf had a 0.15 % return per unit of price deviation over the last 3 months. We have found twenty-nine technical indicators for FT Cboe, which you can use to evaluate the volatility of the entity. Please confirm FT Cboe's Market Risk Adjusted Performance of 0.1255, standard deviation of 0.3099, and Downside Deviation of 0.3613 to check if the risk estimate we provide is consistent with the expected return of 0.0452%. The etf owns a Beta (Systematic Risk) of 0.3, which means not very significant fluctuations relative to the market. 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.
Auto-correlation | 0.63 |
Good predictability
FT Cboe Vest has good predictability. Overlapping area represents the amount of predictability between FT Cboe time series from 11th of November 2025 to 26th of December 2025 and 26th of December 2025 to 9th of February 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of FT Cboe Vest price movement. The serial correlation of 0.63 indicates that roughly 63.0% of current FT Cboe price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.63 | |
| Spearman Rank Test | 0.77 | |
| Residual Average | 0.0 | |
| Price Variance | 0.03 |
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.
| Competition |
In accordance with the recently published financial statements, FT Cboe Vest has a Beta of 0.54. This is much higher than that of the First Trust family and significantly higher than that of the Defined Outcome category. The beta for all United States etfs is notably lower than that of the firm.
DFEB Beta Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses FT Cboe's direct or indirect competition against its Beta to detect undervalued stocks with similar characteristics or determine the etfs which would be a good addition to a portfolio. Peer analysis of FT Cboe could also be used in its relative valuation, which is a method of valuing FT Cboe by comparing valuation metrics of similar companies.FT Cboe is currently under evaluation in beta as compared to similar ETFs.
DFEB Financial Ratios Relationships
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. You can analyze the relationship between different fundamental ratios across FT Cboe competition to find correlations between indicators driving FT Cboe's intrinsic value. More Info.FT Cboe Vest is rated # 4 ETF in beta as compared to similar ETFs. It is rated # 3 ETF in one year return as compared to similar ETFs reporting about 20.93 of One Year Return per Beta. The reason why the comparable model can be used in almost all circumstances is due to the vast number of multiples that can be utilized, such as the price-to-earnings (P/E), price-to-book (P/B), price-to-sales (P/S), price-to-cash flow (P/CF), and many others. The P/E ratio is the most commonly used of these ratios because it focuses on the FT Cboe's earnings, one of the primary drivers of an investment's value.Fund Asset Allocation for FT Cboe
The fund consists of 98.93% investments in stocks, with the rest of investments allocated between various types of exotic instruments.Asset allocation divides FT Cboe'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 for 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 manage securities in the fund's portfolio as market conditions and the fund's objectives change.
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.
DFEB Fundamentals
| Beta | 0.54 | |||
| Total Asset | 293.47 M | |||
| One Year Return | 11.30 % | |||
| Three Year Return | 12.70 % | |||
| Five Year Return | 8.10 % | |||
| Net Asset | 293.47 M | |||
| Equity Positions Weight | 98.93 % |
About FT Cboe Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze FT Cboe Vest's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of FT Cboe using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of FT Cboe Vest 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.Under normal market conditions, the fund will invest substantially all of its assets in FLexible EXchange Options that reference the price performance of the SPDR SP 500 ETF Trust . FT CBOE is traded on BATS Exchange in the United States.
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.When determining whether FT Cboe Vest is a good investment, qualitative aspects like company management, corporate governance, and ethical practices play a significant role. A comparison with peer companies also provides context and helps to understand if DFEB Etf is undervalued or overvalued. This multi-faceted approach, blending both quantitative and qualitative analysis, forms a solid foundation for making an informed investment decision about Ft Cboe Vest Etf. Highlighted below are key reports to facilitate an investment decision about Ft Cboe Vest Etf:Check out You can also try the Bollinger Bands module to use Bollinger Bands indicator to analyze target price for a given investing horizon.
Investors evaluate FT Cboe Vest using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating FT Cboe's intrinsic value - the estimated true worth - helps identify when the stock trades at a discount or premium to fair value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. External factors like market trends, sector rotation, and investor psychology can cause FT Cboe's market price to deviate significantly from intrinsic value.
It's important to distinguish between FT Cboe's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding FT Cboe should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. Conversely, FT Cboe's market price signifies the transaction level at which participants voluntarily complete trades.