Catalyst Dynamic Alpha Fund Market Value
| CPECX Fund | USD 20.37 0.20 0.97% |
| Symbol | Catalyst |
Catalyst Dynamic '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 Catalyst Dynamic'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 Catalyst Dynamic.
| 04/23/2025 |
| 07/22/2025 |
If you would invest 0.00 in Catalyst Dynamic on April 23, 2025 and sell it all today you would earn a total of 0.00 from holding Catalyst Dynamic Alpha or generate 0.0% return on investment in Catalyst Dynamic over 90 days. Catalyst Dynamic is related to or competes with Catalyst Dynamic, Nasdaq 100, Select Fund, Nasdaq 100, and Select Fund. The fund seeks to achieve its investment objective by investing primarily in common stocks of U.S More
Catalyst Dynamic 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 Catalyst Dynamic'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 Catalyst Dynamic Alpha upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.697 | |||
| Information Ratio | 0.1668 | |||
| Maximum Drawdown | 5.01 | |||
| Value At Risk | (0.99) | |||
| Potential Upside | 1.9 |
Catalyst Dynamic Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Catalyst Dynamic's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Catalyst Dynamic's standard deviation. In reality, there are many statistical measures that can use Catalyst Dynamic historical prices to predict the future Catalyst Dynamic's volatility.| Risk Adjusted Performance | 0.3133 | |||
| Jensen Alpha | 0.1906 | |||
| Total Risk Alpha | 0.1539 | |||
| Sortino Ratio | 0.2051 | |||
| Treynor Ratio | 0.4293 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Catalyst Dynamic'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.
Catalyst Dynamic Alpha Backtested Returns
Catalyst Dynamic appears to be very steady, given 3 months investment horizon. Catalyst Dynamic Alpha secures Sharpe Ratio (or Efficiency) of 0.34, which signifies that the fund had a 0.34 % return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Catalyst Dynamic Alpha, which you can use to evaluate the volatility of the entity. Please makes use of Catalyst Dynamic's Mean Deviation of 0.6451, downside deviation of 0.697, and Risk Adjusted Performance of 0.3133 to double-check if our risk estimates are consistent with your expectations. The fund shows a Beta (market volatility) of 0.65, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, Catalyst Dynamic's returns are expected to increase less than the market. However, during the bear market, the loss of holding Catalyst Dynamic is expected to be smaller as well.
Auto-correlation | 0.93 |
Excellent predictability
Catalyst Dynamic Alpha has excellent predictability. Overlapping area represents the amount of predictability between Catalyst Dynamic time series from 23rd of April 2025 to 7th of June 2025 and 7th of June 2025 to 22nd of July 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 Catalyst Dynamic Alpha price movement. The serial correlation of 0.93 indicates that approximately 93.0% of current Catalyst Dynamic price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.93 | |
| Spearman Rank Test | 0.9 | |
| Residual Average | 0.0 | |
| Price Variance | 0.16 |
Catalyst Dynamic Alpha lagged returns against current returns
Autocorrelation, which is Catalyst Dynamic 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 Catalyst Dynamic's mutual fund expected returns. We can calculate the autocorrelation of Catalyst Dynamic returns to help us make a trade decision. For example, suppose you find that Catalyst Dynamic 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 |
Catalyst Dynamic 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 Catalyst Dynamic mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Catalyst Dynamic mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Catalyst Dynamic mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Catalyst Dynamic Lagged Returns
When evaluating Catalyst Dynamic's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Catalyst Dynamic mutual fund have on its future price. Catalyst Dynamic 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, Catalyst Dynamic autocorrelation shows the relationship between Catalyst Dynamic mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Catalyst Dynamic Alpha.
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 Catalyst Mutual Fund
Catalyst Dynamic financial ratios help investors to determine whether Catalyst 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 Catalyst with respect to the benefits of owning Catalyst Dynamic security.
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