Ft Cboe Vest Etf Performance

XISE Etf   30.14  0.08  0.26%   
The etf owns a Beta (Systematic Risk) of 0.16, 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.

Risk-Adjusted Performance

Fair

 
Weak
 
Strong
Compared to the overall equity markets, risk-adjusted returns on investments in FT Cboe Vest are ranked lower than 10 (%) of all global equities and portfolios over the last 90 days. In spite of rather sound basic indicators, FT Cboe is not utilizing all of its potentials. The latest stock price tumult, may contribute to shorter-term losses for the shareholders. ...more
1
Understanding the Setup and Scalable Risk - news.stocktradersdaily.com
11/11/2025
2
Price Dynamics and Execution-Aware Positioning - Stock Traders Daily
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3
FT Vest U.S. Equity Buffer Premium Income ETF - September declares monthly distribution of 0.1517
02/02/2026

FT Cboe Relative Risk vs. Return Landscape

If you would invest  2,977  in FT Cboe Vest on November 8, 2025 and sell it today you would earn a total of  37.40  from holding FT Cboe Vest or generate 1.26% return on investment over 90 days. FT Cboe Vest is currently generating 0.0206% in daily expected returns and assumes 0.1586% risk (volatility on return distribution) over the 90 days horizon. In different words, 1% of etfs are less volatile than XISE, and 99% of all traded equity instruments are projected to make higher returns than the company over the 90 days investment horizon.
  Expected Return   
       Risk  
Given the investment horizon of 90 days FT Cboe is expected to generate 4.65 times less return on investment than the market. But when comparing it to its historical volatility, the company is 5.17 times less risky than the market. It trades about 0.13 of its potential returns per unit of risk. The Dow Jones Industrial is currently generating roughly 0.12 of returns per unit of risk over similar time horizon.

FT Cboe Target Price Odds to finish over Current Price

The tendency of XISE Etf price to converge on an average value over time is a known aspect in finance that investors have used since the beginning of the stock market for forecasting. However, many studies suggest that some traded equity instruments are consistently mispriced before traders' demand and supply correct the spread. One possible conclusion to this anomaly is that these stocks have additional risk, for which investors demand compensation in the form of extra returns.
Current PriceHorizonTarget PriceOdds to move above the current price in 90 days
 30.14 90 days 30.14 
about 22.99
Based on a normal probability distribution, the odds of FT Cboe to move above the current price in 90 days from now is about 22.99 (This FT Cboe Vest probability density function shows the probability of XISE Etf to fall within a particular range of prices over 90 days) .
Given the investment horizon of 90 days FT Cboe has a beta of 0.16. This entails as returns on the market go up, FT Cboe average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding FT Cboe Vest will be expected to be much smaller as well. Additionally FT Cboe Vest has an alpha of 0.0057, implying that it can generate a 0.005749 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta).
   FT Cboe Price Density   
       Price  

Predictive Modules for FT Cboe

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as FT Cboe Vest. Regardless of method or technology, however, to accurately forecast the etf market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the etf market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.
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.
Hype
Prediction
LowEstimatedHigh
29.9830.1430.30
Details
Intrinsic
Valuation
LowRealHigh
29.9130.0730.23
Details
Naive
Forecast
LowNextHigh
29.9330.0930.25
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
29.7930.0830.37
Details

FT Cboe Risk Indicators

For the most part, the last 10-20 years have been a very volatile time for the stock market. FT Cboe is not an exception. The market had few large corrections towards the FT Cboe's value, including both sudden drops in prices as well as massive rallies. These swings have made and broken many portfolios. An investor can limit the violent swings in their portfolio by implementing a hedging strategy designed to limit downside losses. If you hold FT Cboe Vest, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of FT Cboe within the framework of very fundamental risk indicators.
α
Alpha over Dow Jones
0.01
β
Beta against Dow Jones0.16
σ
Overall volatility
0.23
Ir
Information ratio -0.15

FT Cboe Alerts and Suggestions

In today's market, stock alerts give investors the competitive edge they need to time the market and increase returns. Checking the ongoing alerts of FT Cboe for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for FT Cboe Vest can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.

About FT Cboe Performance

By analyzing FT Cboe's fundamental ratios, stakeholders can gain valuable insights into FT Cboe's financial health, operational efficiency, and overall profitability, helping them make informed investment and management decisions. For instance, if FT Cboe has a high ROA and ROE, it suggests that the company is efficiently using its assets and equity to generate substantial profits, making it an attractive investment. Conversely, if FT Cboe has a low ROA and ROE, it may indicate underlying issues in asset and equity management, signaling a need for operational improvements.
FT Cboe is entity of United States. It is traded as Etf on BATS exchange.
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 XISE 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 Your Current Watchlist to better understand how to build diversified portfolios, which includes a position in FT Cboe Vest. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in main economic indicators.
You can also try the Portfolio Center module to all portfolio management and optimization tools to improve performance of your portfolios.
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. Seasoned market participants apply comprehensive analytical frameworks to derive fundamental worth and identify mispriced opportunities. External factors like market trends, sector rotation, and investor psychology can cause FT Cboe's market price to deviate significantly 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. Conversely, FT Cboe's market price signifies the transaction level at which participants voluntarily complete trades.