Jpmorgan Emerging Markets Fund Market Value
| EMRSX Fund | USD 15.74 0.11 0.70% |
| 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.
| 05/06/2022 |
| 04/25/2024 |
If you would invest 0.00 in Jpmorgan Emerging on May 6, 2022 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 720 days. Jpmorgan Emerging is related to or competes with T Rowe, T Rowe, Alliancebernstein, Pace Municipal, Artisan High, Mirova Global, and Blrc Sgy. Normally, the fund invests at least 80 percent of its assets in equity securities and equity-related instruments that ar... 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 | 0.8016 | |||
| Information Ratio | (0.01) | |||
| Maximum Drawdown | 4.17 | |||
| Value At Risk | (0.90) | |||
| Potential Upside | 1.1 |
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 | 0.0702 | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.01) |
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
We consider Jpmorgan Emerging very steady. Jpmorgan Emerging Markets 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-four technical indicators for Jpmorgan Emerging Markets, which you can use to evaluate the volatility of the entity. Please check out Jpmorgan Emerging's Mean Deviation of 0.5268, coefficient of variation of 903.29, and Risk Adjusted Performance of 0.0702 to validate if the risk estimate we provide is consistent with the expected return of 0.0778%. The fund retains a Market Volatility (i.e., Beta) of 0.0, which attests to not very significant fluctuations relative to the market. the returns on MARKET and Jpmorgan Emerging are completely uncorrelated.
Auto-correlation | 0.43 |
Average predictability
Jpmorgan Emerging Markets has average predictability. Overlapping area represents the amount of predictability between Jpmorgan Emerging time series from 6th of May 2022 to 1st of May 2023 and 1st of May 2023 to 25th of April 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 0.43 indicates that just about 43.0% of current Jpmorgan Emerging price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.43 | |
| Spearman Rank Test | 0.01 | |
| Residual Average | 0.0 | |
| Price Variance | 0.24 |
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 |
Pair Trading with Jpmorgan Emerging
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Jpmorgan Emerging position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Jpmorgan Emerging will appreciate offsetting losses from the drop in the long position's value.Moving together with Jpmorgan Mutual Fund
| 0.76 | SRJIX | Jpmorgan Smartretirement | PairCorr |
| 0.75 | SRJQX | Jpmorgan Smartretirement | PairCorr |
| 0.75 | SRJPX | Jpmorgan Smartretirement | PairCorr |
| 0.76 | SRJSX | Jpmorgan Smartretirement | PairCorr |
| 0.76 | SRJYX | Jpmorgan Smartretirement | PairCorr |
The ability to find closely correlated positions to Jpmorgan Emerging could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Jpmorgan Emerging when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Jpmorgan Emerging - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Jpmorgan Emerging Markets to buy it.
The correlation of Jpmorgan Emerging is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Jpmorgan Emerging moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Jpmorgan Emerging Markets moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Jpmorgan Emerging can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Jpmorgan Emerging Correlation, Jpmorgan Emerging Volatility and Jpmorgan Emerging Alpha and Beta module to complement your research on Jpmorgan Emerging. You can also try the Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
Jpmorgan Emerging technical mutual fund analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, fund market cycles, or different charting patterns.