Jpmorgan Income Builder Fund Market Value
| JNBZX Fund | USD 9.43 0.02 0.21% |
| Symbol | Jpmorgan |
Jpmorgan Income '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 Income'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 Income.
| 10/22/2023 |
| 04/19/2024 |
If you would invest 0.00 in Jpmorgan Income on October 22, 2023 and sell it all today you would earn a total of 0.00 from holding Jpmorgan Income Builder or generate 0.0% return on investment in Jpmorgan Income over 180 days. Jpmorgan Income is related to or competes with Jpmorgan Smartretirement, Jpmorgan Smartretirement, Jpmorgan Smartretirement, Jpmorgan Smartretirement, Jpmorgan Smartretirement, Jpmorgan Smartretirement, and Jpmorgan Smartretirement. The fund has significant flexibility to achieve its investment objective and invests in a broad range of income-producin... More
Jpmorgan Income 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 Income'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 Income Builder upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.17) | |||
| Maximum Drawdown | 1.87 | |||
| Value At Risk | (0.73) | |||
| Potential Upside | 0.5285 |
Jpmorgan Income Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Jpmorgan Income's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Jpmorgan Income's standard deviation. In reality, there are many statistical measures that can use Jpmorgan Income historical prices to predict the future Jpmorgan Income's volatility.| Risk Adjusted Performance | (0.01) | |||
| Jensen Alpha | (0.04) | |||
| Total Risk Alpha | (0.05) | |||
| Treynor Ratio | (0.02) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Jpmorgan Income'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 Me Builder Backtested Returns
Jpmorgan Me Builder holds Efficiency (Sharpe) Ratio of -0.0103, which attests that the entity had a -0.0103% return per unit of risk over the last 3 months. Jpmorgan Me Builder exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Jpmorgan Income's Market Risk Adjusted Performance of (0.01), standard deviation of 0.4107, and Risk Adjusted Performance of (0.01) to validate the risk estimate we provide. The fund retains a Market Volatility (i.e., Beta) of 0.54, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, Jpmorgan Income's returns are expected to increase less than the market. However, during the bear market, the loss of holding Jpmorgan Income is expected to be smaller as well.
Auto-correlation | 0.66 |
Good predictability
Jpmorgan Income Builder has good predictability. Overlapping area represents the amount of predictability between Jpmorgan Income time series from 22nd of October 2023 to 20th of January 2024 and 20th of January 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 Me Builder price movement. The serial correlation of 0.66 indicates that around 66.0% of current Jpmorgan Income price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.66 | |
| Spearman Rank Test | 0.48 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
Jpmorgan Me Builder lagged returns against current returns
Autocorrelation, which is Jpmorgan Income 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 Income's mutual fund expected returns. We can calculate the autocorrelation of Jpmorgan Income returns to help us make a trade decision. For example, suppose you find that Jpmorgan Income 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 Income 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 Income mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Jpmorgan Income 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 Income mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Jpmorgan Income Lagged Returns
When evaluating Jpmorgan Income's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Jpmorgan Income mutual fund have on its future price. Jpmorgan Income 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 Income autocorrelation shows the relationship between Jpmorgan Income mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Jpmorgan Income Builder.
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 Income 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 Income's short interest history, or implied volatility extrapolated from Jpmorgan Income options trading.
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Try AI Portfolio ArchitectCheck out Jpmorgan Income Correlation, Jpmorgan Income Volatility and Jpmorgan Income Alpha and Beta module to complement your research on Jpmorgan Income. Note that the Jpmorgan Me Builder information on this page should be used as a complementary analysis to other Jpmorgan Income'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 Share Portfolio module to track or share privately all of your investments from the convenience of any device.
Jpmorgan Income 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.