Jpmorgan High Yield Fund Market Value
JRJKX Fund | USD 6.31 0.03 0.47% |
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.
03/20/2024 |
| 04/19/2024 |
If you would invest 0.00 in Jpmorgan High on March 20, 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 | 0.331 | |||
Information Ratio | (0.30) | |||
Maximum Drawdown | 1.24 | |||
Value At Risk | (0.47) | |||
Potential Upside | 0.317 |
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 | (0.02) | |||
Jensen Alpha | (0.01) | |||
Total Risk Alpha | (0.03) | |||
Sortino Ratio | (0.21) | |||
Treynor Ratio | (0.89) |
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
We consider Jpmorgan High very steady. Jpmorgan High Yield holds Efficiency (Sharpe) Ratio of 0.0124, which attests that the entity had a 0.0124% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Jpmorgan High Yield, which you can use to evaluate the volatility of the entity. Please check out Jpmorgan High's Market Risk Adjusted Performance of (0.88), downside deviation of 0.331, and Risk Adjusted Performance of (0.02) to validate if the risk estimate we provide is consistent with the expected return of 0.0028%. The fund retains a Market Volatility (i.e., Beta) of 0.0109, 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 | 0.55 |
Modest predictability
Jpmorgan High Yield has modest predictability. Overlapping area represents the amount of predictability between Jpmorgan High time series from 20th of March 2024 to 4th of April 2024 and 4th of April 2024 to 19th 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 High Yield price movement. The serial correlation of 0.55 indicates that about 55.0% of current Jpmorgan High price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.55 | |
Spearman Rank Test | 0.04 | |
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 |
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 High 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 High's short interest history, or implied volatility extrapolated from Jpmorgan High options trading.
Building efficient market-beating portfolios requires time, education, and a lot of computing power!
The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.
Try AI Portfolio ArchitectCheck out Jpmorgan High Correlation, Jpmorgan High Volatility and Jpmorgan High Alpha and Beta module to complement your research on Jpmorgan High. You can also try the Price Ceiling Movement module to calculate and plot Price Ceiling Movement for different equity instruments.
Jpmorgan High 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.