Jpmorgan Short Duration Etf Market Value
| JSCP Etf | USD 45.95 0.08 0.17% |
| Symbol | JPMorgan |
The market value of JPMorgan Short Duration is measured differently than its book value, which is the value of JPMorgan that is recorded on the company's balance sheet. Investors also form their own opinion of JPMorgan Short's value that differs from its market value or its book value, called intrinsic value, which is JPMorgan Short's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because JPMorgan Short's market value can be influenced by many factors that don't directly affect JPMorgan Short's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between JPMorgan Short's value and its price as these two are different measures arrived at by different means. Investors typically determine if JPMorgan Short is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, JPMorgan Short's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
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 etf 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.
| 03/27/2024 |
| 04/26/2024 |
If you would invest 0.00 in JPMorgan Short on March 27, 2024 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 30 days. JPMorgan Short is related to or competes with Fidelity Corporate, Fidelity Total, Fidelity High, Fidelity Momentum, and Fidelity Low. Under normal conditions, at least 70 percent of the funds net assets must be invested in securities that, at the time of... 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 etf 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.
| Downside Deviation | 0.247 | |||
| Information Ratio | (0.46) | |||
| Maximum Drawdown | 1.1 | |||
| Value At Risk | (0.35) | |||
| Potential Upside | 0.2603 |
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 | (0.02) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | (0.36) | |||
| Treynor Ratio | (0.35) |
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 -0.0254, which attests that the entity had a -0.0254% return per unit of volatility over the last 3 months. JPMorgan Short Duration exposes twenty-nine different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out JPMorgan Short's market risk adjusted performance of (0.34), and Risk Adjusted Performance of (0.02) to validate the risk estimate we provide. The etf retains a Market Volatility (i.e., Beta) of 0.0273, which attests to not very significant fluctuations relative to the market. As returns on the market increase, JPMorgan Short's returns are expected to increase less than the market. However, during the bear market, the loss of holding JPMorgan Short is expected to be smaller as well.
Auto-correlation | -0.2 |
Insignificant reverse predictability
JPMorgan Short Duration has insignificant reverse predictability. Overlapping area represents the amount of predictability between JPMorgan Short time series from 27th of March 2024 to 11th of April 2024 and 11th of April 2024 to 26th 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 -0.2 indicates that over 20.0% of current JPMorgan Short price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.2 | |
| Spearman Rank Test | -0.52 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
JPMorgan Short Duration lagged returns against current returns
Autocorrelation, which is JPMorgan Short etf'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 etf 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 etf 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 etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if JPMorgan Short etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in JPMorgan Short etf 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 etf 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 etf 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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Try AI Portfolio ArchitectCheck out JPMorgan Short Correlation, JPMorgan Short Volatility and JPMorgan Short Alpha and Beta module to complement your research on JPMorgan Short. Note that the JPMorgan Short Duration information on this page should be used as a complementary analysis to other JPMorgan Short'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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
JPMorgan Short technical etf 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, etf market cycles, or different charting patterns.