Jpmorgan Core Plus Etf Market Value
| JCPB Etf | USD 46.95 0.39 0.84% |
| Symbol | JPMorgan |
The market value of JPMorgan Core Plus 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 Core's value that differs from its market value or its book value, called intrinsic value, which is JPMorgan Core'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 Core's market value can be influenced by many factors that don't directly affect JPMorgan Core'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 Core's value and its price as these two are different measures arrived at by different means. Investors typically determine if JPMorgan Core is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, JPMorgan Core'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 Core '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 Core'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 Core.
| 10/27/2024 |
| 11/26/2024 |
If you would invest 0.00 in JPMorgan Core on October 27, 2024 and sell it all today you would earn a total of 0.00 from holding JPMorgan Core Plus or generate 0.0% return on investment in JPMorgan Core over 30 days. JPMorgan Core is related to or competes with JPMorgan BetaBuilders, JPMorgan BetaBuilders, JPMorgan Emerging, and JPMorgan BetaBuilders. As a matter of non-fundamental policy, the fund will ordinarily invest at least 80 percent of its assets in bonds More
JPMorgan Core 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 Core'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 Core Plus upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.56) | |||
| Maximum Drawdown | 1.22 | |||
| Value At Risk | (0.58) | |||
| Potential Upside | 0.3657 |
JPMorgan Core Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for JPMorgan Core's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as JPMorgan Core's standard deviation. In reality, there are many statistical measures that can use JPMorgan Core historical prices to predict the future JPMorgan Core's volatility.| Risk Adjusted Performance | (0.08) | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.07) | |||
| Treynor Ratio | 0.6652 |
JPMorgan Core Plus Backtested Returns
JPMorgan Core Plus holds Efficiency (Sharpe) Ratio of -0.0399, which attests that the entity had a -0.0399% return per unit of volatility over the last 3 months. JPMorgan Core Plus exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out JPMorgan Core's risk adjusted performance of (0.08), and Market Risk Adjusted Performance of 0.6752 to validate the risk estimate we provide. The etf retains a Market Volatility (i.e., Beta) of -0.0451, which attests to not very significant fluctuations relative to the market. As returns on the market increase, returns on owning JPMorgan Core are expected to decrease at a much lower rate. During the bear market, JPMorgan Core is likely to outperform the market.
Auto-correlation | 0.34 |
Below average predictability
JPMorgan Core Plus has below average predictability. Overlapping area represents the amount of predictability between JPMorgan Core time series from 27th of October 2024 to 11th of November 2024 and 11th of November 2024 to 26th 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 Core Plus price movement. The serial correlation of 0.34 indicates that nearly 34.0% of current JPMorgan Core price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.34 | |
| Spearman Rank Test | -0.08 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
JPMorgan Core Plus lagged returns against current returns
Autocorrelation, which is JPMorgan Core 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 Core's etf expected returns. We can calculate the autocorrelation of JPMorgan Core returns to help us make a trade decision. For example, suppose you find that JPMorgan Core 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 Core 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 Core etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if JPMorgan Core etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in JPMorgan Core etf over time.
Current vs Lagged Prices |
| Timeline |
JPMorgan Core Lagged Returns
When evaluating JPMorgan Core's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of JPMorgan Core etf have on its future price. JPMorgan Core 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 Core autocorrelation shows the relationship between JPMorgan Core etf current value and its past values and can show if there is a momentum factor associated with investing in JPMorgan Core Plus.
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.When determining whether JPMorgan Core Plus offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of JPMorgan Core's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Jpmorgan Core Plus Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Jpmorgan Core Plus Etf:Check out JPMorgan Core Correlation, JPMorgan Core Volatility and JPMorgan Core Alpha and Beta module to complement your research on JPMorgan Core. You can also try the Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
JPMorgan Core 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.