Jpmorgan Growth And Fund Market Value
| VGIIX Fund | USD 76.69 0.36 0.47% |
| Symbol | Jpmorgan |
Jpmorgan Growth '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 Growth'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 Growth.
| 03/17/2024 |
| 04/16/2024 |
If you would invest 0.00 in Jpmorgan Growth on March 17, 2024 and sell it all today you would earn a total of 0.00 from holding Jpmorgan Growth And or generate 0.0% return on investment in Jpmorgan Growth over 30 days. Jpmorgan Growth is related to or competes with Jpmorgan Smartretirement, Jpmorgan Smartretirement, Jpmorgan Smartretirement, Jpmorgan Smartretirement, Jpmorgan Smartretirement, Jpmorgan Smartretirement, and Jpmorgan Smartretirement. Under normal circumstances, the fund invests at least 80 percent of its assets in common stocks issued by U.S More
Jpmorgan Growth 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 Growth'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 Growth And upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.6743 | |||
| Information Ratio | (0.02) | |||
| Maximum Drawdown | 2.7 | |||
| Value At Risk | (1.24) | |||
| Potential Upside | 0.8818 |
Jpmorgan Growth Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Jpmorgan Growth's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Jpmorgan Growth's standard deviation. In reality, there are many statistical measures that can use Jpmorgan Growth historical prices to predict the future Jpmorgan Growth's volatility.| Risk Adjusted Performance | 0.0707 | |||
| Jensen Alpha | (0) | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | (0.01) | |||
| Treynor Ratio | 0.0644 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Jpmorgan Growth'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 Growth And Backtested Returns
We consider Jpmorgan Growth very steady. Jpmorgan Growth And holds Efficiency (Sharpe) Ratio of 0.15, which attests that the entity had a 0.15% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Jpmorgan Growth And, which you can use to evaluate the volatility of the entity. Please check out Jpmorgan Growth's Risk Adjusted Performance of 0.0707, market risk adjusted performance of 0.0744, and Downside Deviation of 0.6743 to validate if the risk estimate we provide is consistent with the expected return of 0.0885%. The fund retains a Market Volatility (i.e., Beta) of 0.91, which attests to possible diversification benefits within a given portfolio. Jpmorgan Growth returns are very sensitive to returns on the market. As the market goes up or down, Jpmorgan Growth is expected to follow.
Auto-correlation | -0.83 |
Excellent reverse predictability
Jpmorgan Growth And has excellent reverse predictability. Overlapping area represents the amount of predictability between Jpmorgan Growth time series from 17th of March 2024 to 1st of April 2024 and 1st of April 2024 to 16th 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 Growth And price movement. The serial correlation of -0.83 indicates that around 83.0% of current Jpmorgan Growth price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.83 | |
| Spearman Rank Test | -0.64 | |
| Residual Average | 0.0 | |
| Price Variance | 0.57 |
Jpmorgan Growth And lagged returns against current returns
Autocorrelation, which is Jpmorgan Growth 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 Growth's mutual fund expected returns. We can calculate the autocorrelation of Jpmorgan Growth returns to help us make a trade decision. For example, suppose you find that Jpmorgan Growth 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 Growth 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 Growth mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Jpmorgan Growth 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 Growth mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Jpmorgan Growth Lagged Returns
When evaluating Jpmorgan Growth's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Jpmorgan Growth mutual fund have on its future price. Jpmorgan Growth 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 Growth autocorrelation shows the relationship between Jpmorgan Growth mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Jpmorgan Growth And.
Regressed Prices |
| Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Jpmorgan Growth in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Jpmorgan Growth's short interest history, or implied volatility extrapolated from Jpmorgan Growth options trading.
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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.| LTC | Litecoin | |
| STETH | Staked Ether | |
| LINK | Chainlink |
Check out Jpmorgan Growth Correlation, Jpmorgan Growth Volatility and Jpmorgan Growth Alpha and Beta module to complement your research on Jpmorgan Growth. You can also try the Idea Breakdown module to analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes.
Jpmorgan Growth 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.