Jpmorgan Smartretirement Blend Fund Market Value
| JMYAX Fund | USD 30.58 0.27 0.89% |
| Symbol | Jpmorgan |
Jpmorgan Smartretirement* '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 Smartretirement*'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 Smartretirement*.
| 10/19/2023 |
| 04/16/2024 |
If you would invest 0.00 in Jpmorgan Smartretirement* on October 19, 2023 and sell it all today you would earn a total of 0.00 from holding Jpmorgan Smartretirement Blend or generate 0.0% return on investment in Jpmorgan Smartretirement* over 180 days. Jpmorgan Smartretirement* is related to or competes with Jpmorgan Smartretirement, Jpmorgan Smartretirement, Jpmorgan Smartretirement, Jpmorgan Smartretirement, Jpmorgan Smartretirement, Jpmorgan Smartretirement, and Jpmorgan Smartretirement. The fund is generally intended for investors who plan to retire around the year 2045 and then withdraw their investment ... More
Jpmorgan Smartretirement* 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 Smartretirement*'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 Smartretirement Blend upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.6672 | |||
| Information Ratio | 0.021 | |||
| Maximum Drawdown | 2.62 | |||
| Value At Risk | (1.08) | |||
| Potential Upside | 0.9097 |
Jpmorgan Smartretirement* Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Jpmorgan Smartretirement*'s investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Jpmorgan Smartretirement*'s standard deviation. In reality, there are many statistical measures that can use Jpmorgan Smartretirement* historical prices to predict the future Jpmorgan Smartretirement*'s volatility.| Risk Adjusted Performance | 0.0777 | |||
| Jensen Alpha | 0.0644 | |||
| Total Risk Alpha | 0.0145 | |||
| Sortino Ratio | 0.0191 | |||
| Treynor Ratio | 3.36 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Jpmorgan Smartretirement*'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 Smartretirement* Backtested Returns
We consider Jpmorgan Smartretirement* very steady. Jpmorgan Smartretirement* holds Efficiency (Sharpe) Ratio of 0.16, which attests that the entity had a 0.16% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Jpmorgan Smartretirement*, which you can use to evaluate the volatility of the entity. Please check out Jpmorgan Smartretirement*'s Downside Deviation of 0.6672, risk adjusted performance of 0.0777, and Market Risk Adjusted Performance of 3.37 to validate if the risk estimate we provide is consistent with the expected return of 0.0974%. The fund retains a Market Volatility (i.e., Beta) of 0.0195, which attests to not very significant fluctuations relative to the market. As returns on the market increase, Jpmorgan Smartretirement*'s returns are expected to increase less than the market. However, during the bear market, the loss of holding Jpmorgan Smartretirement* is expected to be smaller as well.
Auto-correlation | 0.94 |
Excellent predictability
Jpmorgan Smartretirement Blend has excellent predictability. Overlapping area represents the amount of predictability between Jpmorgan Smartretirement* time series from 19th of October 2023 to 17th of January 2024 and 17th of January 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 Smartretirement* price movement. The serial correlation of 0.94 indicates that approximately 94.0% of current Jpmorgan Smartretirement* price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.94 | |
| Spearman Rank Test | 0.89 | |
| Residual Average | 0.0 | |
| Price Variance | 0.48 |
Jpmorgan Smartretirement* lagged returns against current returns
Autocorrelation, which is Jpmorgan Smartretirement* 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 Smartretirement*'s mutual fund expected returns. We can calculate the autocorrelation of Jpmorgan Smartretirement* returns to help us make a trade decision. For example, suppose you find that Jpmorgan Smartretirement* 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 |
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Jpmorgan Smartretirement* 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 Smartretirement* mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Jpmorgan Smartretirement* 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 Smartretirement* mutual fund over time.
Current vs Lagged Prices |
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Jpmorgan Smartretirement* Lagged Returns
When evaluating Jpmorgan Smartretirement*'s market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Jpmorgan Smartretirement* mutual fund have on its future price. Jpmorgan Smartretirement* 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 Smartretirement* autocorrelation shows the relationship between Jpmorgan Smartretirement* mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Jpmorgan Smartretirement Blend.
Regressed Prices |
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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 Smartretirement* 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 Smartretirement*'s short interest history, or implied volatility extrapolated from Jpmorgan Smartretirement* options trading.
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Try AI Portfolio ArchitectCheck out Jpmorgan Smartretirement* Correlation, Jpmorgan Smartretirement* Volatility and Jpmorgan Smartretirement* Alpha and Beta module to complement your research on Jpmorgan Smartretirement*. Note that the Jpmorgan Smartretirement* information on this page should be used as a complementary analysis to other Jpmorgan Smartretirement*'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 Portfolio Holdings module to check your current holdings and cash postion to detemine if your portfolio needs rebalancing.
Jpmorgan Smartretirement* 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.