Vela Large Cap Fund Market Value
| VELIX Fund | USD 16.73 0.05 0.30% |
| Symbol | Vela |
Vela Large '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 Vela Large'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 Vela Large.
| 12/08/2024 |
| 01/07/2025 |
If you would invest 0.00 in Vela Large on December 8, 2024 and sell it all today you would earn a total of 0.00 from holding Vela Large Cap or generate 0.0% return on investment in Vela Large over 30 days. Vela Large is related to or competes with Vela International, Vela International, Vela Large, Vela Small, and Vela Income. The fund, under normal market conditions, invests at least 80 percent of its net assets in long and short positions in U... More
Vela Large 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 Vela Large'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 Vela Large Cap upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.12) | |||
| Maximum Drawdown | 7.99 | |||
| Value At Risk | (0.84) | |||
| Potential Upside | 0.7173 |
Vela Large Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Vela Large's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Vela Large's standard deviation. In reality, there are many statistical measures that can use Vela Large historical prices to predict the future Vela Large's volatility.| Risk Adjusted Performance | (0.08) | |||
| Jensen Alpha | (0.09) | |||
| Total Risk Alpha | (0.12) | |||
| Treynor Ratio | 1.26 |
Vela Large Cap Backtested Returns
Vela Large Cap owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.1, which indicates the fund had a -0.1% return per unit of risk over the last 3 months. Vela Large Cap exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Vela Large's Coefficient Of Variation of (1,062), variance of 0.8406, and Risk Adjusted Performance of (0.08) to confirm the risk estimate we provide. The entity has a beta of -0.0766, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Vela Large are expected to decrease at a much lower rate. During the bear market, Vela Large is likely to outperform the market.
Auto-correlation | 0.07 |
Virtually no predictability
Vela Large Cap has virtually no predictability. Overlapping area represents the amount of predictability between Vela Large time series from 8th of December 2024 to 23rd of December 2024 and 23rd of December 2024 to 7th of January 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Vela Large Cap price movement. The serial correlation of 0.07 indicates that barely 7.0% of current Vela Large price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.07 | |
| Spearman Rank Test | 0.08 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
Vela Large Cap lagged returns against current returns
Autocorrelation, which is Vela Large 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 Vela Large's mutual fund expected returns. We can calculate the autocorrelation of Vela Large returns to help us make a trade decision. For example, suppose you find that Vela Large 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 |
Vela Large 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 Vela Large mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Vela Large mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Vela Large mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Vela Large Lagged Returns
When evaluating Vela Large's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Vela Large mutual fund have on its future price. Vela Large 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, Vela Large autocorrelation shows the relationship between Vela Large mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Vela Large Cap.
Regressed Prices |
| Timeline |
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| TRX | TRON | |
| BNB | Binance Coin |
Other Information on Investing in Vela Mutual Fund
Vela Large financial ratios help investors to determine whether Vela 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 Vela with respect to the benefits of owning Vela Large security.
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