Jpmorgan Equity Income Fund Market Value
| HLIEX Fund | USD 23.45 0.07 0.30% |
| Symbol | Jpmorgan |
Jpmorgan Equity '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 Equity'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 Equity.
| 03/19/2024 |
| 04/18/2024 |
If you would invest 0.00 in Jpmorgan Equity on March 19, 2024 and sell it all today you would earn a total of 0.00 from holding Jpmorgan Equity Income or generate 0.0% return on investment in Jpmorgan Equity over 30 days. Jpmorgan Equity is related to or competes with Dodge Cox, American Funds, American Funds, American Mutual, and Vanguard Value. Under normal circumstances, at least 80 percent of the funds assets will be invested in the equity securities of corpora... More
Jpmorgan Equity 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 Equity'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 Equity Income upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.6947 | |||
| Information Ratio | (0.02) | |||
| Maximum Drawdown | 2.98 | |||
| Value At Risk | (1.04) | |||
| Potential Upside | 0.8011 |
Jpmorgan Equity Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Jpmorgan Equity's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Jpmorgan Equity's standard deviation. In reality, there are many statistical measures that can use Jpmorgan Equity historical prices to predict the future Jpmorgan Equity's volatility.| Risk Adjusted Performance | 0.0466 | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 0.0396 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Jpmorgan Equity'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 Equity Me Backtested Returns
We consider Jpmorgan Equity very steady. Jpmorgan Equity Me holds Efficiency (Sharpe) Ratio of 0.0971, which attests that the entity had a 0.0971% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Jpmorgan Equity Me, which you can use to evaluate the volatility of the entity. Please check out Jpmorgan Equity's Market Risk Adjusted Performance of 0.0496, risk adjusted performance of 0.0466, and Downside Deviation of 0.6947 to validate if the risk estimate we provide is consistent with the expected return of 0.0568%. The fund retains a Market Volatility (i.e., Beta) of 0.87, which attests to possible diversification benefits within a given portfolio. Jpmorgan Equity returns are very sensitive to returns on the market. As the market goes up or down, Jpmorgan Equity is expected to follow.
Auto-correlation | -0.47 |
Modest reverse predictability
Jpmorgan Equity Income has modest reverse predictability. Overlapping area represents the amount of predictability between Jpmorgan Equity time series from 19th of March 2024 to 3rd of April 2024 and 3rd of April 2024 to 18th 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 Equity Me price movement. The serial correlation of -0.47 indicates that about 47.0% of current Jpmorgan Equity price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.47 | |
| Spearman Rank Test | -0.46 | |
| Residual Average | 0.0 | |
| Price Variance | 0.12 |
Jpmorgan Equity Me lagged returns against current returns
Autocorrelation, which is Jpmorgan Equity 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 Equity's mutual fund expected returns. We can calculate the autocorrelation of Jpmorgan Equity returns to help us make a trade decision. For example, suppose you find that Jpmorgan Equity 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 Equity 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 Equity mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Jpmorgan Equity 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 Equity mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Jpmorgan Equity Lagged Returns
When evaluating Jpmorgan Equity's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Jpmorgan Equity mutual fund have on its future price. Jpmorgan Equity 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 Equity autocorrelation shows the relationship between Jpmorgan Equity mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Jpmorgan Equity Income.
Regressed Prices |
| Timeline |
Building efficient market-beating portfolios requires time, education, and a lot of computing power!
The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.
Try AI Portfolio ArchitectCheck out Jpmorgan Equity Correlation, Jpmorgan Equity Volatility and Jpmorgan Equity Alpha and Beta module to complement your research on Jpmorgan Equity. Note that the Jpmorgan Equity Me information on this page should be used as a complementary analysis to other Jpmorgan Equity's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
Jpmorgan Equity 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.