Jpmorgan Investor Growth Fund Market Value
| ONGAX Fund | USD 23.46 0.06 0.26% |
| Symbol | Jpmorgan |
Jpmorgan Investor '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 Investor'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 Investor.
| 03/20/2024 |
| 04/19/2024 |
If you would invest 0.00 in Jpmorgan Investor on March 20, 2024 and sell it all today you would earn a total of 0.00 from holding Jpmorgan Investor Growth or generate 0.0% return on investment in Jpmorgan Investor over 30 days. Jpmorgan Investor is related to or competes with Jpmorgan Smartretirement, Jpmorgan Smartretirement, Jpmorgan Smartretirement, Jpmorgan Smartretirement, Jpmorgan Smartretirement, Jpmorgan Smartretirement, and Jpmorgan Smartretirement. The fund is a fund of funds. Its main investment strategy is to invest in other J.P More
Jpmorgan Investor 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 Investor'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 Investor Growth upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.6419 | |||
| Information Ratio | 0.0055 | |||
| Maximum Drawdown | 2.91 | |||
| Value At Risk | (1.03) | |||
| Potential Upside | 0.9595 |
Jpmorgan Investor Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Jpmorgan Investor's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Jpmorgan Investor's standard deviation. In reality, there are many statistical measures that can use Jpmorgan Investor historical prices to predict the future Jpmorgan Investor's volatility.| Risk Adjusted Performance | 0.0713 | |||
| Jensen Alpha | 0.0072 | |||
| Total Risk Alpha | 0.0028 | |||
| Sortino Ratio | 0.0053 | |||
| Treynor Ratio | 0.0663 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Jpmorgan Investor'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 Investor Growth Backtested Returns
We consider Jpmorgan Investor very steady. Jpmorgan Investor Growth holds Efficiency (Sharpe) Ratio of 0.0889, which attests that the entity had a 0.0889% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Jpmorgan Investor Growth, which you can use to evaluate the volatility of the entity. Please check out Jpmorgan Investor's Downside Deviation of 0.6419, risk adjusted performance of 0.0713, and Market Risk Adjusted Performance of 0.0763 to validate if the risk estimate we provide is consistent with the expected return of 0.0549%. The fund retains a Market Volatility (i.e., Beta) of 0.94, which attests to possible diversification benefits within a given portfolio. Jpmorgan Investor returns are very sensitive to returns on the market. As the market goes up or down, Jpmorgan Investor is expected to follow.
Auto-correlation | 0.56 |
Modest predictability
Jpmorgan Investor Growth has modest predictability. Overlapping area represents the amount of predictability between Jpmorgan Investor time series from 20th of March 2024 to 4th of April 2024 and 4th of April 2024 to 19th 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 Investor Growth price movement. The serial correlation of 0.56 indicates that roughly 56.0% of current Jpmorgan Investor price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.56 | |
| Spearman Rank Test | 0.61 | |
| Residual Average | 0.0 | |
| Price Variance | 0.12 |
Jpmorgan Investor Growth lagged returns against current returns
Autocorrelation, which is Jpmorgan Investor 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 Investor's mutual fund expected returns. We can calculate the autocorrelation of Jpmorgan Investor returns to help us make a trade decision. For example, suppose you find that Jpmorgan Investor 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 Investor 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 Investor mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Jpmorgan Investor 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 Investor mutual fund over time.
Current vs Lagged Prices |
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Jpmorgan Investor Lagged Returns
When evaluating Jpmorgan Investor's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Jpmorgan Investor mutual fund have on its future price. Jpmorgan Investor 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 Investor autocorrelation shows the relationship between Jpmorgan Investor mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Jpmorgan Investor Growth.
Regressed Prices |
| Timeline |
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Jpmorgan Investor 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.