Jp Morgan Smartretirement Fund Market Value
| JTSQX Fund | USD 21.18 0.25 1.19% |
| Symbol | JTSQX |
Jp Morgan '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 Jp Morgan'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 Jp Morgan.
| 01/24/2024 |
| 04/23/2024 |
If you would invest 0.00 in Jp Morgan on January 24, 2024 and sell it all today you would earn a total of 0.00 from holding Jp Morgan Smartretirement or generate 0.0% return on investment in Jp Morgan over 90 days. Jp Morgan 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 2050 and then withdraw their investment ... More
Jp Morgan 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 Jp Morgan'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 Jp Morgan Smartretirement upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.638 | |||
| Information Ratio | (0.02) | |||
| Maximum Drawdown | 2.93 | |||
| Value At Risk | (1.11) | |||
| Potential Upside | 0.9538 |
Jp Morgan Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Jp Morgan's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Jp Morgan's standard deviation. In reality, there are many statistical measures that can use Jp Morgan historical prices to predict the future Jp Morgan's volatility.| Risk Adjusted Performance | 0.076 | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 0.0713 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Jp Morgan'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.
Jp Morgan Smartretirement Backtested Returns
We consider Jp Morgan very steady. Jp Morgan Smartretirement retains Efficiency (Sharpe Ratio) of 0.089, which attests that the entity had a 0.089% return per unit of price deviation over the last 3 months. We have found twenty-seven technical indicators for Jp Morgan, which you can use to evaluate the volatility of the entity. Please check out Jp Morgan's Semi Deviation of 0.5472, market risk adjusted performance of 0.0813, and Standard Deviation of 0.6244 to validate if the risk estimate we provide is consistent with the expected return of 0.056%. The fund owns a Beta (Systematic Risk) of 0.94, which attests to possible diversification benefits within a given portfolio. Jp Morgan returns are very sensitive to returns on the market. As the market goes up or down, Jp Morgan is expected to follow.
Auto-correlation | -0.62 |
Very good reverse predictability
Jp Morgan Smartretirement has very good reverse predictability. Overlapping area represents the amount of predictability between Jp Morgan time series from 24th of January 2024 to 9th of March 2024 and 9th of March 2024 to 23rd 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 Jp Morgan Smartretirement price movement. The serial correlation of -0.62 indicates that roughly 62.0% of current Jp Morgan price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.62 | |
| Spearman Rank Test | -0.48 | |
| Residual Average | 0.0 | |
| Price Variance | 0.09 |
Jp Morgan Smartretirement lagged returns against current returns
Autocorrelation, which is Jp Morgan 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 Jp Morgan's mutual fund expected returns. We can calculate the autocorrelation of Jp Morgan returns to help us make a trade decision. For example, suppose you find that Jp Morgan 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 |
Jp Morgan 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 Jp Morgan mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Jp Morgan mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Jp Morgan mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Jp Morgan Lagged Returns
When evaluating Jp Morgan's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Jp Morgan mutual fund have on its future price. Jp Morgan 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, Jp Morgan autocorrelation shows the relationship between Jp Morgan mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Jp Morgan Smartretirement.
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 Jp Morgan 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, Jp Morgan's short interest history, or implied volatility extrapolated from Jp Morgan options trading.
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Jp Morgan 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.