Jpmorgan Dynamic Small Fund Market Value
| JDSCX Fund | USD 36.03 0.09 0.25% |
| Symbol | Jpmorgan |
Jpmorgan 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 Jpmorgan 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 Jpmorgan Dynamic.
| 10/29/2024 |
| 11/28/2024 |
If you would invest 0.00 in Jpmorgan Dynamic on October 29, 2024 and sell it all today you would earn a total of 0.00 from holding Jpmorgan Dynamic Small or generate 0.0% return on investment in Jpmorgan Dynamic over 30 days. Jpmorgan Dynamic is related to or competes with T Rowe, Commonwealth Real, American Century, Versus Capital, Franklin Real, and Msif Us. Under normal circumstances, the fund invests at least 80 percent of its assets in equity securities of small cap compani... More
Jpmorgan 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 Jpmorgan 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 Jpmorgan Dynamic Small upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.03 | |||
| Information Ratio | (0) | |||
| Maximum Drawdown | 6.9 | |||
| Value At Risk | (1.50) | |||
| Potential Upside | 1.81 |
Jpmorgan Dynamic Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Jpmorgan Dynamic's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Jpmorgan Dynamic's standard deviation. In reality, there are many statistical measures that can use Jpmorgan Dynamic historical prices to predict the future Jpmorgan Dynamic's volatility.| Risk Adjusted Performance | 0.0883 | |||
| Jensen Alpha | (0.05) | |||
| Total Risk Alpha | (0.06) | |||
| Sortino Ratio | (0) | |||
| Treynor Ratio | 0.0872 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Jpmorgan 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.
Jpmorgan Dynamic Small Backtested Returns
At this stage we consider Jpmorgan Mutual Fund to be very steady. Jpmorgan Dynamic Small holds Efficiency (Sharpe) Ratio of 0.11, which attests that the entity had a 0.11% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Jpmorgan Dynamic Small, which you can use to evaluate the volatility of the entity. Please check out Jpmorgan Dynamic's Downside Deviation of 1.03, market risk adjusted performance of 0.0972, and Risk Adjusted Performance of 0.0883 to validate if the risk estimate we provide is consistent with the expected return of 0.13%. The fund retains a Market Volatility (i.e., Beta) of 1.36, which attests to a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Jpmorgan Dynamic will likely underperform.
Auto-correlation | 0.91 |
Excellent predictability
Jpmorgan Dynamic Small has excellent predictability. Overlapping area represents the amount of predictability between Jpmorgan Dynamic time series from 29th of October 2024 to 13th of November 2024 and 13th of November 2024 to 28th of November 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 Jpmorgan Dynamic Small price movement. The serial correlation of 0.91 indicates that approximately 91.0% of current Jpmorgan Dynamic price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.91 | |
| Spearman Rank Test | 0.65 | |
| Residual Average | 0.0 | |
| Price Variance | 0.44 |
Jpmorgan Dynamic Small lagged returns against current returns
Autocorrelation, which is Jpmorgan 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 Jpmorgan Dynamic's mutual fund expected returns. We can calculate the autocorrelation of Jpmorgan Dynamic returns to help us make a trade decision. For example, suppose you find that Jpmorgan 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 |
Jpmorgan 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 Jpmorgan Dynamic mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Jpmorgan 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 Jpmorgan Dynamic mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Jpmorgan Dynamic Lagged Returns
When evaluating Jpmorgan Dynamic's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Jpmorgan Dynamic mutual fund have on its future price. Jpmorgan 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, Jpmorgan Dynamic autocorrelation shows the relationship between Jpmorgan Dynamic mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Jpmorgan Dynamic Small.
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 Jpmorgan Mutual Fund
Jpmorgan Dynamic financial ratios help investors to determine whether Jpmorgan 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 Jpmorgan with respect to the benefits of owning Jpmorgan Dynamic security.
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