Jpmorgan Short Duration Fund Market Value
| JSDRX Fund | USD 9.04 0.01 0.11% |
| Symbol | Jpmorgan |
Jpmorgan Short '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 Short'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 Short.
| 03/07/2023 |
| 04/30/2024 |
If you would invest 0.00 in Jpmorgan Short on March 7, 2023 and sell it all today you would earn a total of 0.00 from holding Jpmorgan Short Duration or generate 0.0% return on investment in Jpmorgan Short over 420 days. Jpmorgan Short is related to or competes with Jpmorgan Smartretirement, Jpmorgan Smartretirement, Jpmorgan Smartretirement, Jpmorgan Smartretirement, Jpmorgan Smartretirement, Jpmorgan Smartretirement, and Jpmorgan Smartretirement. The fund uses a multi-sector strategy in order to create a diversified portfolio that generates total return while manag... More
Jpmorgan Short 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 Short'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 Short Duration upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.34) | |||
| Maximum Drawdown | 0.8792 | |||
| Value At Risk | (0.44) | |||
| Potential Upside | 0.2212 |
Jpmorgan Short Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Jpmorgan Short's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Jpmorgan Short's standard deviation. In reality, there are many statistical measures that can use Jpmorgan Short historical prices to predict the future Jpmorgan Short's volatility.| Risk Adjusted Performance | (0.04) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.03) | |||
| Treynor Ratio | 1.27 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Jpmorgan Short'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 Short Duration Backtested Returns
Jpmorgan Short Duration holds Efficiency (Sharpe) Ratio of -0.0405, which attests that the entity had a -0.0405% return per unit of risk over the last 3 months. Jpmorgan Short Duration exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Jpmorgan Short's Risk Adjusted Performance of (0.04), market risk adjusted performance of 1.28, and Standard Deviation of 0.1859 to validate the risk estimate we provide. The fund retains a Market Volatility (i.e., Beta) of -0.0104, which attests to not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Jpmorgan Short are expected to decrease at a much lower rate. During the bear market, Jpmorgan Short is likely to outperform the market.
Auto-correlation | 0.27 |
Poor predictability
Jpmorgan Short Duration has poor predictability. Overlapping area represents the amount of predictability between Jpmorgan Short time series from 7th of March 2023 to 3rd of October 2023 and 3rd of October 2023 to 30th 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 Short Duration price movement. The serial correlation of 0.27 indicates that nearly 27.0% of current Jpmorgan Short price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.27 | |
| Spearman Rank Test | 0.27 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
Jpmorgan Short Duration lagged returns against current returns
Autocorrelation, which is Jpmorgan Short 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 Short's mutual fund expected returns. We can calculate the autocorrelation of Jpmorgan Short returns to help us make a trade decision. For example, suppose you find that Jpmorgan Short 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 Short 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 Short mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Jpmorgan Short 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 Short mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Jpmorgan Short Lagged Returns
When evaluating Jpmorgan Short's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Jpmorgan Short mutual fund have on its future price. Jpmorgan Short 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 Short autocorrelation shows the relationship between Jpmorgan Short mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Jpmorgan Short Duration.
Regressed Prices |
| Timeline |
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Jpmorgan Short 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.