Jpmorgan Chase Financial Etf Market Value
| AMJB Etf | 31.35 0.28 0.89% |
| Symbol | JPMorgan |
The market value of JPMorgan Chase Financial 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 Chase's value that differs from its market value or its book value, called intrinsic value, which is JPMorgan Chase'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 Chase's market value can be influenced by many factors that don't directly affect JPMorgan Chase'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 Chase's value and its price as these two are different measures arrived at by different means. Investors typically determine if JPMorgan Chase is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, JPMorgan Chase'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 Chase '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 Chase'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 Chase.
| 06/05/2024 |
| 12/02/2024 |
If you would invest 0.00 in JPMorgan Chase on June 5, 2024 and sell it all today you would earn a total of 0.00 from holding JPMorgan Chase Financial or generate 0.0% return on investment in JPMorgan Chase over 180 days. JPMorgan Chase is related to or competes with Alerian Energy, and UBS AG. JPMorgan Chase is entity of United States More
JPMorgan Chase 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 Chase'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 Chase Financial upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.8444 | |||
| Information Ratio | 0.0957 | |||
| Maximum Drawdown | 4.2 | |||
| Value At Risk | (1.32) | |||
| Potential Upside | 1.73 |
JPMorgan Chase Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for JPMorgan Chase's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as JPMorgan Chase's standard deviation. In reality, there are many statistical measures that can use JPMorgan Chase historical prices to predict the future JPMorgan Chase's volatility.| Risk Adjusted Performance | 0.1952 | |||
| Jensen Alpha | 0.1476 | |||
| Total Risk Alpha | 0.0656 | |||
| Sortino Ratio | 0.0987 | |||
| Treynor Ratio | 0.4248 |
JPMorgan Chase Financial Backtested Returns
JPMorgan Chase appears to be very steady, given 3 months investment horizon. JPMorgan Chase Financial holds Efficiency (Sharpe) Ratio of 0.25, which attests that the entity had a 0.25% return per unit of volatility over the last 3 months. We have found twenty-eight technical indicators for JPMorgan Chase Financial, which you can use to evaluate the volatility of the entity. Please utilize JPMorgan Chase's risk adjusted performance of 0.1952, and Market Risk Adjusted Performance of 0.4348 to validate if our risk estimates are consistent with your expectations. The etf retains a Market Volatility (i.e., Beta) of 0.5, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, JPMorgan Chase's returns are expected to increase less than the market. However, during the bear market, the loss of holding JPMorgan Chase is expected to be smaller as well.
Auto-correlation | 0.11 |
Insignificant predictability
JPMorgan Chase Financial has insignificant predictability. Overlapping area represents the amount of predictability between JPMorgan Chase time series from 5th of June 2024 to 3rd of September 2024 and 3rd of September 2024 to 2nd of December 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 Chase Financial price movement. The serial correlation of 0.11 indicates that less than 11.0% of current JPMorgan Chase price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.11 | |
| Spearman Rank Test | -0.1 | |
| Residual Average | 0.0 | |
| Price Variance | 0.61 |
JPMorgan Chase Financial lagged returns against current returns
Autocorrelation, which is JPMorgan Chase 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 Chase's etf expected returns. We can calculate the autocorrelation of JPMorgan Chase returns to help us make a trade decision. For example, suppose you find that JPMorgan Chase 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 Chase 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 Chase etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if JPMorgan Chase etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in JPMorgan Chase etf over time.
Current vs Lagged Prices |
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JPMorgan Chase Lagged Returns
When evaluating JPMorgan Chase's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of JPMorgan Chase etf have on its future price. JPMorgan Chase 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 Chase autocorrelation shows the relationship between JPMorgan Chase etf current value and its past values and can show if there is a momentum factor associated with investing in JPMorgan Chase Financial.
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 Chase Financial offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of JPMorgan Chase'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 Chase Financial Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Jpmorgan Chase Financial Etf:Check out JPMorgan Chase Correlation, JPMorgan Chase Volatility and JPMorgan Chase Alpha and Beta module to complement your research on JPMorgan Chase. You can also try the Money Managers module to screen money managers from public funds and ETFs managed around the world.
JPMorgan Chase 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.