Cboe Vest Sp Fund Market Value
| KNGAX Fund | USD 12.27 0.07 0.57% |
| Symbol | Cboe |
Cboe Vest '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 Cboe Vest's mutual fund 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 Cboe Vest.
| 01/12/2022 |
| 12/27/2024 |
If you would invest 0.00 in Cboe Vest on January 12, 2022 and sell it all today you would earn a total of 0.00 from holding Cboe Vest Sp or generate 0.0% return on investment in Cboe Vest over 1080 days. Cboe Vest is related to or competes with Morningstar Aggressive, Lgm Risk, T Rowe, Ab High, California High, Copeland Risk, and Franklin High. The fund employs an investment approach designed to track the performance of the index before fees and expenses More
Cboe Vest 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 Cboe Vest's mutual fund 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 Cboe Vest Sp upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.16) | |||
| Maximum Drawdown | 3.49 | |||
| Value At Risk | (0.86) | |||
| Potential Upside | 0.936 |
Cboe Vest Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Cboe Vest's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Cboe Vest's standard deviation. In reality, there are many statistical measures that can use Cboe Vest historical prices to predict the future Cboe Vest's volatility.| Risk Adjusted Performance | (0.09) | |||
| Jensen Alpha | (0.08) | |||
| Total Risk Alpha | (0.09) | |||
| Treynor Ratio | (0.40) |
Cboe Vest Sp Backtested Returns
Cboe Vest Sp secures Sharpe Ratio (or Efficiency) of -0.13, which signifies that the fund had a -0.13% return per unit of risk over the last 3 months. Cboe Vest Sp exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Cboe Vest's Standard Deviation of 0.6003, risk adjusted performance of (0.09), and Mean Deviation of 0.464 to double-check the risk estimate we provide. The fund shows a Beta (market volatility) of 0.19, which signifies not very significant fluctuations relative to the market. 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.
Auto-correlation | 0.51 |
Modest predictability
Cboe Vest Sp has modest predictability. Overlapping area represents the amount of predictability between Cboe Vest time series from 12th of January 2022 to 6th of July 2023 and 6th of July 2023 to 27th of December 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Cboe Vest Sp price movement. The serial correlation of 0.51 indicates that about 51.0% of current Cboe Vest price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.51 | |
| Spearman Rank Test | 0.15 | |
| Residual Average | 0.0 | |
| Price Variance | 0.2 |
Cboe Vest Sp lagged returns against current returns
Autocorrelation, which is Cboe Vest mutual fund's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Cboe Vest's mutual fund expected returns. We can calculate the autocorrelation of Cboe Vest returns to help us make a trade decision. For example, suppose you find that Cboe Vest has exhibited high autocorrelation historically, and you observe that the mutual fund is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Cboe Vest regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Cboe Vest mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Cboe Vest mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Cboe Vest mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Cboe Vest Lagged Returns
When evaluating Cboe Vest's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Cboe Vest mutual fund have on its future price. Cboe Vest autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Cboe Vest autocorrelation shows the relationship between Cboe Vest mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Cboe Vest Sp.
Regressed Prices |
| Timeline |
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.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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