Cboe Vest Sp Fund Alpha and Beta Analysis

KNGYX Fund  USD 12.35  0.07  0.56%   
This module allows you to check different measures of market premium (i.e., alpha and beta) for all equities such as Cboe Vest Sp. It also helps investors analyze the systematic and unsystematic risks associated with investing in Cboe Vest over a specified time horizon. Remember, high Cboe Vest's alpha is almost always a sign of good performance; however, a high beta will depend on investors' risk tolerance level and may signal increased volatility and potential future overvaluation. Key technical indicators related to Cboe Vest's market risk premium analysis include:
Beta
0.025
Alpha
(0.11)
Risk
0.68
Sharpe Ratio
(0.17)
Expected Return
(0.12)
Please note that although Cboe Vest alpha is a measure of relative return and represented here as a single number, it indicates the percentage above or below your selected benchmark (i.e., Dow Jones Industrial index.) So in this particular case, Cboe Vest did 0.11  worse than the index. Remember, a high alpha is always good. Beta, on the other hand, measures the volatility (or risk) of an investment. It is an indication of Cboe Vest Sp fund's relative risk over its benchmark. Cboe Vest Sp has a beta of 0.03  . As returns on the market increase, Cboe Vest's returns are expected to increase less than the market. However, during the bear market, the loss of holding Cboe Vest is expected to be smaller as well. .
Alpha is a measure of relative performance on a risk-adjusted basis, while beta measures volatility against the benchmark. The goal is to know if an investor is being compensated for the volatility risk taken. The return on investment might be better than its reference but still not compensate for the assumption of the risk.
  
Check out Cboe Vest Backtesting, Portfolio Optimization, Cboe Vest Correlation, Cboe Vest Hype Analysis, Cboe Vest Volatility, Cboe Vest History and analyze Cboe Vest Performance.

Cboe Vest Market Premiums

Investors always prefer to have the highest possible return on investment, coupled with the lowest possible volatility. Cboe Vest market risk premium is the additional return an investor will receive from holding Cboe Vest long position in a well-diversified portfolio. The market premium is part of the Capital Asset Pricing Model (CAPM), which most analysts and investors use to calculate the acceptable rate of return on investment in Cboe Vest. At the center of the CAPM is the concept of risk and reward, which is usually communicated by investors using alpha and beta measures. Alpha and beta are two of the key measurements used to evaluate Cboe Vest's performance over market.
α-0.11   β0.03

Cboe Vest expected buy-and-hold returns

Although buy-and-hold investment strategy may not appeal to all investors, it may be used as a good measure of Cboe Vest's Buy-and-hold return. Our buy-and-hold chart shows how Cboe Vest performed over your current time horizon against a typical interest-earning bank account and a selected benchmark.

Cboe Vest Market Price Analysis

Market price analysis indicators help investors to evaluate how Cboe Vest mutual fund reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Cboe Vest shares will generate the highest return on investment. By understating and applying Cboe Vest mutual fund market price indicators, traders can identify Cboe Vest position entry and exit signals to maximize returns.

Cboe Vest Return and Market Media

The median price of Cboe Vest for the period between Sat, Sep 28, 2024 and Fri, Dec 27, 2024 is 12.94 with a coefficient of variation of 1.9. The daily time series for the period is distributed with a sample standard deviation of 0.25, arithmetic mean of 12.92, and mean deviation of 0.18. The Fund did not receive any noticable media coverage during the period.
 Price Growth (%)  
       Timeline  

About Cboe Vest Beta and Alpha

For many years both, Alpha and Beta indicators are used by professional money managers as critical performance measurement tools across virtually all financial instruments including Cboe or other funds. Alpha measures the amount that position in Cboe Vest Sp has returned in comparison to a selected market index or another relevant benchmark. In other words, Alpha is the excess return on an investment relative to the performance of your selected benchmark. Beta, on the other hand, measures the relative risk of your investment.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Cboe Vest in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Cboe Vest's short interest history, or implied volatility extrapolated from Cboe Vest options trading.

Build Portfolio with Cboe Vest

Your optimized portfolios are the building block of your wealth. We provide an intuitive interface to determine which securities in a portfolio should be removed or rebalanced to achieve better diversification, find the right mix of securities that minimizes portfolio risk for a given return, or maximize portfolio expected return for a given risk level.

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Align your risk with return expectations

By capturing your risk tolerance and investment horizon Macroaxis technology of instant portfolio optimization will compute exactly how much risk is acceptable for your desired return expectations

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.
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