Jpmorgan Usd Emerging Etf Market Value
| JPMB Etf | USD 38.21 0.13 0.34% |
| 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.
| 05/08/2022 |
| 04/27/2024 |
If you would invest 0.00 in JPMorgan USD on May 8, 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 WisdomTree Interest, WisdomTree Interest, WisdomTree Emerging, WisdomTree Emerging, and First Trust. 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 | (0.21) | |||
| Maximum Drawdown | 2.26 | |||
| Value At Risk | (0.93) | |||
| Potential Upside | 0.6819 |
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 | (0.01) | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.07) | |||
| Treynor Ratio | (0.23) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of JPMorgan USD'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 USD Emerging Backtested Returns
JPMorgan USD Emerging holds Efficiency (Sharpe) Ratio of -0.0385, which attests that the entity had a -0.0385% return per unit of volatility over the last 3 months. JPMorgan USD Emerging exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out JPMorgan USD's market risk adjusted performance of (0.22), and Risk Adjusted Performance of (0.01) to validate the risk estimate we provide. The etf retains a Market Volatility (i.e., Beta) of 0.0712, 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 | 0.74 |
Good predictability
JPMorgan USD Emerging has good predictability. Overlapping area represents the amount of predictability between JPMorgan USD time series from 8th of May 2022 to 3rd of May 2023 and 3rd of May 2023 to 27th 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 USD Emerging price movement. The serial correlation of 0.74 indicates that around 74.0% of current JPMorgan USD price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.74 | |
| Spearman Rank Test | 0.45 | |
| Residual Average | 0.0 | |
| Price Variance | 1.34 |
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 |
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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.