Cboe Vest Sp Fund Market Value
| KNGIX Fund | USD 12.38 0.04 0.32% |
| 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.
| 03/20/2024 |
| 04/19/2024 |
If you would invest 0.00 in Cboe Vest on March 20, 2024 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 30 days. Cboe Vest is related to or competes with Cboe Vest, Cboe Vest, Cboe Vest, Cboe Vest, Cboe Vest, Cboe Vest, and Cboe Vest. 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.
| Downside Deviation | 1.09 | |||
| Information Ratio | (0.04) | |||
| Maximum Drawdown | 5.46 | |||
| Value At Risk | (1.22) | |||
| Potential Upside | 0.986 |
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 | 0.0303 | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.05) | |||
| Sortino Ratio | (0.03) | |||
| Treynor Ratio | 0.0267 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Cboe Vest'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.
Cboe Vest Sp Backtested Returns
We consider Cboe Vest very steady. Cboe Vest Sp secures Sharpe Ratio (or Efficiency) of 0.0449, which signifies that the fund had a 0.0449% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Cboe Vest Sp, which you can use to evaluate the volatility of the entity. Please confirm Cboe Vest's Risk Adjusted Performance of 0.0303, mean deviation of 0.561, and Downside Deviation of 1.09 to double-check if the risk estimate we provide is consistent with the expected return of 0.0371%. The fund shows a Beta (market volatility) of 1.0, which signifies possible diversification benefits within a given portfolio. Cboe Vest returns are very sensitive to returns on the market. As the market goes up or down, Cboe Vest is expected to follow.
Auto-correlation | -0.5 |
Modest reverse predictability
Cboe Vest Sp has modest reverse predictability. Overlapping area represents the amount of predictability between Cboe Vest time series from 20th of March 2024 to 4th of April 2024 and 4th of April 2024 to 19th of April 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 -0.5 indicates that about 50.0% of current Cboe Vest price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.5 | |
| Spearman Rank Test | -0.34 | |
| Residual Average | 0.0 | |
| Price Variance | 0.03 |
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 |
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.
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Cboe Vest technical mutual fund analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, fund market cycles, or different charting patterns.