Jpmorgan Usd Emerging Etf Market Value
| JPMB Etf | USD 38.96 0.01 0.03% |
| Symbol | JPMorgan |
The market value of JPMorgan USD Emerging 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 USD's value that differs from its market value or its book value, called intrinsic value, which is JPMorgan USD'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 USD's market value can be influenced by many factors that don't directly affect JPMorgan USD'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 USD's value and its price as these two are different measures arrived at by different means. Investors typically determine if JPMorgan USD is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, JPMorgan USD'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 USD '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 USD'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 USD.
| 12/05/2022 |
| 11/24/2024 |
If you would invest 0.00 in JPMorgan USD on December 5, 2022 and sell it all today you would earn a total of 0.00 from holding JPMorgan USD Emerging or generate 0.0% return on investment in JPMorgan USD over 720 days. JPMorgan USD is related to or competes with IShares JP, Invesco Emerging, IShares JP, IShares JP, Bondbloxx ETF, and SPDR Bloomberg. The fund will invest at least 80 percent of its assets in securities included in the underlying index More
JPMorgan USD 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 USD'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 USD Emerging upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.40) | |||
| Maximum Drawdown | 1.89 | |||
| Value At Risk | (0.54) | |||
| Potential Upside | 0.4894 |
JPMorgan USD Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for JPMorgan USD's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as JPMorgan USD's standard deviation. In reality, there are many statistical measures that can use JPMorgan USD historical prices to predict the future JPMorgan USD's volatility.| Risk Adjusted Performance | (0.04) | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.08) | |||
| Treynor Ratio | (0.21) |
JPMorgan USD Emerging Backtested Returns
JPMorgan USD Emerging holds Efficiency (Sharpe) Ratio of -0.0723, which attests that the entity had a -0.0723% return per unit of volatility over the last 3 months. JPMorgan USD Emerging exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out JPMorgan USD's risk adjusted performance of (0.04), and Market Risk Adjusted Performance of (0.20) to validate the risk estimate we provide. The etf retains a Market Volatility (i.e., Beta) of 0.1, which attests to not very significant fluctuations relative to the market. As returns on the market increase, JPMorgan USD's returns are expected to increase less than the market. However, during the bear market, the loss of holding JPMorgan USD is expected to be smaller as well.
Auto-correlation | -0.25 |
Weak reverse predictability
JPMorgan USD Emerging has weak reverse predictability. Overlapping area represents the amount of predictability between JPMorgan USD time series from 5th of December 2022 to 30th of November 2023 and 30th of November 2023 to 24th 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 USD Emerging price movement. The serial correlation of -0.25 indicates that over 25.0% of current JPMorgan USD price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.25 | |
| Spearman Rank Test | 0.06 | |
| Residual Average | 0.0 | |
| Price Variance | 1.05 |
JPMorgan USD Emerging lagged returns against current returns
Autocorrelation, which is JPMorgan USD 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 USD's etf expected returns. We can calculate the autocorrelation of JPMorgan USD returns to help us make a trade decision. For example, suppose you find that JPMorgan USD 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 USD 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 USD etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if JPMorgan USD etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in JPMorgan USD etf over time.
Current vs Lagged Prices |
| Timeline |
JPMorgan USD Lagged Returns
When evaluating JPMorgan USD's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of JPMorgan USD etf have on its future price. JPMorgan USD 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 USD autocorrelation shows the relationship between JPMorgan USD etf current value and its past values and can show if there is a momentum factor associated with investing in JPMorgan USD Emerging.
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 USD Emerging offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of JPMorgan USD'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 Usd Emerging Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Jpmorgan Usd Emerging Etf:Check out JPMorgan USD Correlation, JPMorgan USD Volatility and JPMorgan USD Alpha and Beta module to complement your research on JPMorgan USD. You can also try the Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
JPMorgan USD 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.