Cboe Vest Sp Fund Buy Hold or Sell Recommendation

KNGYX Fund  USD 12.41  0.08  0.65%   
Assuming the 90 days horizon and your above-average risk tolerance, our recommendation regarding Cboe Vest Sp is 'Strong Hold'. A buy or sell recommendation is an automated directive regarding whether to purchase or sell Cboe Vest Sp given historical horizon and risk tolerance. When we issue a 'buy' or 'sell' recommendation for Cboe Vest Sp, the advice is generated through an automated system that utilizes algorithms and statistical models.
  
Check out Cboe Vest Analyst Recommendation to compare Macroaxis Buy or Sell Recommendation with the current analyst consensus. To check ratings for multiple equity instruments, please use the Instant Ratings tool.
Note, we conduct extensive research on individual funds such as Cboe and provide practical buy, sell, or hold recommendation based on investors' investing horizon and their risk tolerance towards Cboe Vest Sp. Also, note that the market value of any mutual fund could be closely tied with the direction of predictive economic indicators such as signals in manufacturing.

Execute Cboe Vest Buy or Sell Advice

The Cboe recommendation should be used to complement the buy-or-sell advice compiled from the current analysts' consensus on Cboe Vest Sp. Macroaxis does not own or have any residual interests in Cboe Vest Sp or other equities on which the buy-or-sell advice is provided. Please provide your input below to execute Cboe Vest's advice using the current market data and latest reported fundamentals.

Time Horizon

Risk Tolerance

Execute Advice
Sell Cboe VestBuy Cboe Vest
Strong Hold

Market Performance

Very WeakDetails

Volatility

Very steadyDetails

Hype Condition

StaleDetails

Current Valuation

Fairly ValuedDetails

Odds Of Distress

LowDetails

Economic Sensitivity

Follows the market closelyDetails

Analyst Consensus

Not AvailableDetails
For the selected time horizon Cboe Vest Sp has a Risk Adjusted Performance of (0.12), Jensen Alpha of (0.13), Total Risk Alpha of (0.14) and Treynor Ratio of (0.17)
Our trade advice tool can cross-verify current analyst consensus on Cboe Vest Sp and to analyze the fund potential to grow in the current economic cycle. Please makes use of Cboe Vest number of employees and five year return to make buy, hold, or sell decision on Cboe Vest Sp.

Cboe Vest Trading Alerts and Improvement Suggestions

Cboe Vest Sp generated a negative expected return over the last 90 days
The fund maintains 99.73% of its assets in stocks

Cboe Vest current analysts advice

We track the performance of the top 100 financial experts across various large and mid-size financial boutiques. Cboe analyst recommendations are determined by taking all analyst recommendations and averaging them as Strong Buy, Buy, Hold, Strong Sell or Sell. There is no one specific way to measure analysis performance other than comparing it to the past results via a very sophisticated attribution analysis. Cboe analyst consensus and target price projections should be used in combination with other traditional techniques such as stock price forecasting, technical analysis, earnings estimate, and various momentum models.
The consensus estimates and target price estimation comprises individual analyst assessments, and may or may not mutch the Macroaxis buy or sell advice. It is determined by taking an average of all analyst recommendations and classifying them as Strong Buy, Buy, Hold, or Sell.

Cboe Vest Returns Distribution Density

The distribution of Cboe Vest's historical returns is an attempt to chart the uncertainty of Cboe Vest's future price movements. The chart of the probability distribution of Cboe Vest daily returns describes the distribution of returns around its average expected value. We use Cboe Vest Sp price's Value At Risk and its Upside Potential as a relative measure of the distribution. The graph of the distribution of Cboe Vest returns is essential to provide solid investment advice for Cboe Vest.
Mean Return
-0.1
Value At Risk
-0.85
Potential Upside
0.93
Standard Deviation
0.67
   Return Density   
       Distribution  
Investment risk management requires an estimate of the probability of extreme price changes. Therefore, the correct representation of the distribution of Cboe Vest historical returns presented in an easy-to-digest graphical form helps investors and money managers understand the risk-reward trade-off of different investement strategies.

Cboe Vest Greeks

Most traded equities are subject to two types of risk - systematic (i.e., market) and unsystematic (i.e., nonmarket or company-specific) risk. Unsystematic risk is the risk that events specific to Cboe Vest or CBOE Vest sector will adversely affect the stock's price. This type of risk can be diversified away by owning several different stocks in different industries whose stock prices have shown a small correlation to each other. On the other hand, systematic risk is the risk that Cboe Vest's price will be affected by overall mutual fund market movements and cannot be diversified away. So, no matter how many positions you have, you cannot eliminate market risk. However, you can measure a Cboe fund's historical response to market movements and buy it if you are comfortable with its volatility direction. Beta and standard deviation are two commonly used measures to help you make the right decision.
α
Alpha over Dow Jones
-0.13
β
Beta against Dow Jones0.62
σ
Overall volatility
0.68
Ir
Information ratio -0.21

Cboe Vest Volatility Alert

Cboe Vest Sp exhibits very low volatility with skewness of -0.97 and kurtosis of 2.73. Understanding different market volatility trends often help investors to time the market. Properly using volatility indicators enable traders to measure Cboe Vest's mutual fund risk against market volatility during both bullish and bearish trends. The higher level of volatility that comes with bear markets can directly impact Cboe Vest's mutual fund price while adding stress to investors as they watch their shares' value plummet. This usually forces investors to rebalance their portfolios by buying different financial instruments as prices fall.

Cboe Vest Fundamentals Vs Peers

Comparing Cboe Vest's fundamentals to the average values of its peers is one of the most widely used and accepted methods of equity analyses. It helps to analyze Cboe Vest's direct or indirect competition across all of the common fundamentals between Cboe Vest and the related equities. This way, we can detect undervalued stocks with similar characteristics as Cboe Vest or determine the mutual funds which would be an excellent addition to an existing portfolio. Peer analysis of Cboe Vest's fundamental indicators could also be used in its relative valuation, which is a method of valuing Cboe Vest by comparing valuation metrics with those of similar companies.
    
 Better Than Average     
    
 Worse Than Average Compare Cboe Vest to competition
FundamentalsCboe VestPeer Average
Annual Yield0.01 %0.29 %
Year To Date Return6.23 %0.39 %
One Year Return8.47 %4.15 %
Three Year Return3.41 %3.60 %
Five Year Return7.33 %3.24 %
Net Asset73.77 M4.11 B
Last Dividend Paid0.030.65
Cash Position Weight0.27 %10.61 %
Equity Positions Weight99.73 %63.90 %

Cboe Vest Market Momentum

Traders often use several daily momentume indicators to supplement a more traditional technical analysis when analyzing securities such as Cboe . With many different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.

About Cboe Vest Buy or Sell Advice

When is the right time to buy or sell Cboe Vest Sp? Buying financial instruments such as Cboe Mutual Fund isn't very hard. However, what challenging for most investors is doing it at the right time to beat the market. Proper market timing is something most people cannot do without sophisticated tools, which help to isolate the right opportunities. Macroaxis provides hands-on modules to deliver winning trades and diversify your portfolios on a daily basis. Most of our advising modules are very easy to use and apply.
Please read more on our stock advisor page.

Use Investing Ideas to Build Portfolios

In addition to having Cboe Vest 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 Sport Products Thematic Idea Now

Sport Products
Sport Products Theme
Companies manufacturing sporting goods and accessories. The Sport Products theme has 44 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 Sport Products Theme or any other thematic opportunities.
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Other Information on Investing in Cboe Mutual Fund

Cboe Vest financial ratios help investors to determine whether Cboe Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Cboe with respect to the benefits of owning Cboe Vest security.
Portfolio Holdings
Check your current holdings and cash postion to detemine if your portfolio needs rebalancing
Risk-Return Analysis
View associations between returns expected from investment and the risk you assume