Jpmorgan Emerging Markets Fund Market Value
| JEMVX Fund | USD 6.37 0.01 0.16% |
| Symbol | Jpmorgan |
Jpmorgan Emerging '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 Emerging'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 Emerging.
| 11/12/2024 |
| 12/12/2024 |
If you would invest 0.00 in Jpmorgan Emerging on November 12, 2024 and sell it all today you would earn a total of 0.00 from holding Jpmorgan Emerging Markets or generate 0.0% return on investment in Jpmorgan Emerging over 30 days. Jpmorgan Emerging is related to or competes with Jpmorgan Smartretirement, Jpmorgan Smartretirement, Jpmorgan Smartretirement, Jpmorgan Smartretirement, Jpmorgan Smartretirement, Jpmorgan Smartretirement, and Jpmorgan Smartretirement. The fund normally invests at least 80 percent of the value of its assets in emerging market debt investments More
Jpmorgan Emerging 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 Emerging'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 Emerging Markets upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.3058 | |||
| Information Ratio | (0.37) | |||
| Maximum Drawdown | 1.59 | |||
| Value At Risk | (0.32) | |||
| Potential Upside | 0.32 |
Jpmorgan Emerging Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Jpmorgan Emerging's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Jpmorgan Emerging's standard deviation. In reality, there are many statistical measures that can use Jpmorgan Emerging historical prices to predict the future Jpmorgan Emerging's volatility.| Risk Adjusted Performance | 0.0412 | |||
| Jensen Alpha | 0.0062 | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | (0.34) | |||
| Treynor Ratio | 0.2374 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Jpmorgan Emerging'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 Emerging Markets Backtested Returns
At this stage we consider Jpmorgan Mutual Fund to be very steady. Jpmorgan Emerging Markets holds Efficiency (Sharpe) Ratio of 0.0378, which attests that the entity had a 0.0378% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Jpmorgan Emerging Markets, which you can use to evaluate the volatility of the entity. Please check out Jpmorgan Emerging's Downside Deviation of 0.3058, market risk adjusted performance of 0.2474, and Risk Adjusted Performance of 0.0412 to validate if the risk estimate we provide is consistent with the expected return of 0.0104%. The fund retains a Market Volatility (i.e., Beta) of 0.0503, which attests to not very significant fluctuations relative to the market. As returns on the market increase, Jpmorgan Emerging's returns are expected to increase less than the market. However, during the bear market, the loss of holding Jpmorgan Emerging is expected to be smaller as well.
Auto-correlation | 0.31 |
Below average predictability
Jpmorgan Emerging Markets has below average predictability. Overlapping area represents the amount of predictability between Jpmorgan Emerging time series from 12th of November 2024 to 27th of November 2024 and 27th of November 2024 to 12th of December 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 Emerging Markets price movement. The serial correlation of 0.31 indicates that nearly 31.0% of current Jpmorgan Emerging price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.31 | |
| Spearman Rank Test | 0.45 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Jpmorgan Emerging Markets lagged returns against current returns
Autocorrelation, which is Jpmorgan Emerging 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 Emerging's mutual fund expected returns. We can calculate the autocorrelation of Jpmorgan Emerging returns to help us make a trade decision. For example, suppose you find that Jpmorgan Emerging 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 Emerging 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 Emerging mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Jpmorgan Emerging 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 Emerging mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Jpmorgan Emerging Lagged Returns
When evaluating Jpmorgan Emerging's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Jpmorgan Emerging mutual fund have on its future price. Jpmorgan Emerging 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 Emerging autocorrelation shows the relationship between Jpmorgan Emerging mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Jpmorgan Emerging Markets.
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 Emerging 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 Emerging security.
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