Changing Parameters Fund Market Value
| CPMPX Fund | USD 10.65 0.01 0.09% |
| Symbol | Changing |
Changing Parameters '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 Changing Parameters' 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 Changing Parameters.
| 04/21/2025 |
| 07/20/2025 |
If you would invest 0.00 in Changing Parameters on April 21, 2025 and sell it all today you would earn a total of 0.00 from holding Changing Parameters Fund or generate 0.0% return on investment in Changing Parameters over 90 days. Changing Parameters is related to or competes with Principal Lifetime, Jhancock Multimanager, Harbor Mid, Calvert International, Lord Abbett, and Jpmorgan Mid. The fund seeks to achieve its investment objective by investing primarily in a combination of long and short positions i... More
Changing Parameters 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 Changing Parameters' 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 Changing Parameters Fund upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.1115 | |||
| Information Ratio | (0.76) | |||
| Maximum Drawdown | 0.7707 | |||
| Value At Risk | (0.1) | |||
| Potential Upside | 0.1934 |
Changing Parameters Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Changing Parameters' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Changing Parameters' standard deviation. In reality, there are many statistical measures that can use Changing Parameters historical prices to predict the future Changing Parameters' volatility.| Risk Adjusted Performance | 0.2816 | |||
| Jensen Alpha | 0.0266 | |||
| Total Risk Alpha | 0.0188 | |||
| Sortino Ratio | (0.85) | |||
| Treynor Ratio | 0.4867 |
Changing Parameters Backtested Returns
At this stage we consider Changing Mutual Fund to be very steady. Changing Parameters secures Sharpe Ratio (or Efficiency) of 0.37, which signifies that the fund had a 0.37 % return per unit of standard deviation over the last 3 months. We have found twenty-seven technical indicators for Changing Parameters Fund, which you can use to evaluate the volatility of the entity. Please confirm Changing Parameters' risk adjusted performance of 0.2816, and Mean Deviation of 0.0937 to double-check if the risk estimate we provide is consistent with the expected return of 0.047%. The fund shows a Beta (market volatility) of 0.0746, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Changing Parameters' returns are expected to increase less than the market. However, during the bear market, the loss of holding Changing Parameters is expected to be smaller as well.
Auto-correlation | 0.92 |
Excellent predictability
Changing Parameters Fund has excellent predictability. Overlapping area represents the amount of predictability between Changing Parameters time series from 21st of April 2025 to 5th of June 2025 and 5th of June 2025 to 20th 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 Changing Parameters price movement. The serial correlation of 0.92 indicates that approximately 92.0% of current Changing Parameters price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.92 | |
| Spearman Rank Test | 0.92 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Changing Parameters lagged returns against current returns
Autocorrelation, which is Changing Parameters 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 Changing Parameters' mutual fund expected returns. We can calculate the autocorrelation of Changing Parameters returns to help us make a trade decision. For example, suppose you find that Changing Parameters 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 |
Changing Parameters 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 Changing Parameters mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Changing Parameters mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Changing Parameters mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Changing Parameters Lagged Returns
When evaluating Changing Parameters' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Changing Parameters mutual fund have on its future price. Changing Parameters 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, Changing Parameters autocorrelation shows the relationship between Changing Parameters mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Changing Parameters Fund.
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 Changing Mutual Fund
Changing Parameters financial ratios help investors to determine whether Changing 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 Changing with respect to the benefits of owning Changing Parameters security.
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