Jpmorgan High Yield Fund Market Value
| JHYUX Fund | USD 6.58 0.04 0.60% |
| Symbol | Jpmorgan |
Jpmorgan High '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 High'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 High.
| 10/28/2024 |
| 11/27/2024 |
If you would invest 0.00 in Jpmorgan High on October 28, 2024 and sell it all today you would earn a total of 0.00 from holding Jpmorgan High Yield or generate 0.0% return on investment in Jpmorgan High over 30 days. Jpmorgan High is related to or competes with Jpmorgan Smartretirement, Jpmorgan Smartretirement, Jpmorgan Smartretirement, Jpmorgan Smartretirement, Jpmorgan Smartretirement, Jpmorgan Smartretirement, and Jpmorgan Smartretirement. The fund normally invests at least 80 percent of its assets in bonds, other debt securities, loan assignments and partic... More
Jpmorgan High 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 High'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 High Yield upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.1866 | |||
| Information Ratio | (0.67) | |||
| Maximum Drawdown | 0.615 | |||
| Value At Risk | (0.15) | |||
| Potential Upside | 0.3049 |
Jpmorgan High Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Jpmorgan High's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Jpmorgan High's standard deviation. In reality, there are many statistical measures that can use Jpmorgan High historical prices to predict the future Jpmorgan High's volatility.| Risk Adjusted Performance | 0.1972 | |||
| Jensen Alpha | 0.0238 | |||
| Total Risk Alpha | 0.0117 | |||
| Sortino Ratio | (0.47) | |||
| Treynor Ratio | 0.4699 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Jpmorgan High'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 High Yield Backtested Returns
At this stage we consider Jpmorgan Mutual Fund to be very steady. Jpmorgan High Yield holds Efficiency (Sharpe) Ratio of 0.2, which attests that the entity had a 0.2% return per unit of risk over the last 3 months. We have found twenty-six technical indicators for Jpmorgan High Yield, which you can use to evaluate the volatility of the entity. Please check out Jpmorgan High's Risk Adjusted Performance of 0.1972, coefficient of variation of 310.78, and Market Risk Adjusted Performance of 0.4799 to validate if the risk estimate we provide is consistent with the expected return of 0.0318%. The fund retains a Market Volatility (i.e., Beta) of 0.0678, which attests to not very significant fluctuations relative to the market. As returns on the market increase, Jpmorgan High's returns are expected to increase less than the market. However, during the bear market, the loss of holding Jpmorgan High is expected to be smaller as well.
Auto-correlation | 0.40 |
Average predictability
Jpmorgan High Yield has average predictability. Overlapping area represents the amount of predictability between Jpmorgan High time series from 28th of October 2024 to 12th of November 2024 and 12th of November 2024 to 27th of November 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 High Yield price movement. The serial correlation of 0.4 indicates that just about 40.0% of current Jpmorgan High price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.4 | |
| Spearman Rank Test | 0.81 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Jpmorgan High Yield lagged returns against current returns
Autocorrelation, which is Jpmorgan High 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 High's mutual fund expected returns. We can calculate the autocorrelation of Jpmorgan High returns to help us make a trade decision. For example, suppose you find that Jpmorgan High 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 High 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 High mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Jpmorgan High 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 High mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Jpmorgan High Lagged Returns
When evaluating Jpmorgan High's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Jpmorgan High mutual fund have on its future price. Jpmorgan High 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 High autocorrelation shows the relationship between Jpmorgan High mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Jpmorgan High Yield.
Regressed Prices |
| Timeline |
Also Currently Popular
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.Other Information on Investing in Jpmorgan Mutual Fund
Jpmorgan High financial ratios help investors to determine whether Jpmorgan Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Jpmorgan with respect to the benefits of owning Jpmorgan High security.
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