Jpmorgan Nasdaq Equity Etf Market Value
| JEPQ Etf | USD 57.12 0.15 0.26% |
| Symbol | JPMorgan |
The market value of JPMorgan Nasdaq Equity 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 Nasdaq's value that differs from its market value or its book value, called intrinsic value, which is JPMorgan Nasdaq'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 Nasdaq's market value can be influenced by many factors that don't directly affect JPMorgan Nasdaq'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 Nasdaq's value and its price as these two are different measures arrived at by different means. Investors typically determine if JPMorgan Nasdaq is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, JPMorgan Nasdaq'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 Nasdaq '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 Nasdaq'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 Nasdaq.
| 11/04/2024 |
| 12/04/2024 |
If you would invest 0.00 in JPMorgan Nasdaq on November 4, 2024 and sell it all today you would earn a total of 0.00 from holding JPMorgan Nasdaq Equity or generate 0.0% return on investment in JPMorgan Nasdaq over 30 days. JPMorgan Nasdaq is related to or competes with JPMorgan Equity, Global X, Amplify CWP, Global X, and Global X. The fund seeks to achieve this objective by creating an actively managed portfolio of equity securities comprised signif... More
JPMorgan Nasdaq 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 Nasdaq'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 Nasdaq Equity upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.9566 | |||
| Information Ratio | 0.0431 | |||
| Maximum Drawdown | 3.5 | |||
| Value At Risk | (1.62) | |||
| Potential Upside | 1.1 |
JPMorgan Nasdaq Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for JPMorgan Nasdaq's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as JPMorgan Nasdaq's standard deviation. In reality, there are many statistical measures that can use JPMorgan Nasdaq historical prices to predict the future JPMorgan Nasdaq's volatility.| Risk Adjusted Performance | 0.1523 | |||
| Jensen Alpha | 0.069 | |||
| Total Risk Alpha | 0.0368 | |||
| Sortino Ratio | 0.0324 | |||
| Treynor Ratio | 0.2123 |
JPMorgan Nasdaq Equity Backtested Returns
Currently, JPMorgan Nasdaq Equity is very steady. JPMorgan Nasdaq Equity holds Efficiency (Sharpe) Ratio of 0.27, which attests that the entity had a 0.27% return per unit of volatility over the last 3 months. We have found thirty technical indicators for JPMorgan Nasdaq Equity, which you can use to evaluate the volatility of the entity. Please check out JPMorgan Nasdaq's market risk adjusted performance of 0.2223, and Risk Adjusted Performance of 0.1523 to validate if the risk estimate we provide is consistent with the expected return of 0.18%. The etf retains a Market Volatility (i.e., Beta) of 0.63, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, JPMorgan Nasdaq's returns are expected to increase less than the market. However, during the bear market, the loss of holding JPMorgan Nasdaq is expected to be smaller as well.
Auto-correlation | 0.40 |
Average predictability
JPMorgan Nasdaq Equity has average predictability. Overlapping area represents the amount of predictability between JPMorgan Nasdaq time series from 4th of November 2024 to 19th of November 2024 and 19th of November 2024 to 4th 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 Nasdaq Equity price movement. The serial correlation of 0.4 indicates that just about 40.0% of current JPMorgan Nasdaq price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.4 | |
| Spearman Rank Test | 0.26 | |
| Residual Average | 0.0 | |
| Price Variance | 0.24 |
JPMorgan Nasdaq Equity lagged returns against current returns
Autocorrelation, which is JPMorgan Nasdaq 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 Nasdaq's etf expected returns. We can calculate the autocorrelation of JPMorgan Nasdaq returns to help us make a trade decision. For example, suppose you find that JPMorgan Nasdaq 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 Nasdaq 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 Nasdaq etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if JPMorgan Nasdaq etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in JPMorgan Nasdaq etf over time.
Current vs Lagged Prices |
| Timeline |
JPMorgan Nasdaq Lagged Returns
When evaluating JPMorgan Nasdaq's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of JPMorgan Nasdaq etf have on its future price. JPMorgan Nasdaq 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 Nasdaq autocorrelation shows the relationship between JPMorgan Nasdaq etf current value and its past values and can show if there is a momentum factor associated with investing in JPMorgan Nasdaq Equity.
Regressed Prices |
| Timeline |
Pair Trading with JPMorgan Nasdaq
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if JPMorgan Nasdaq position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in JPMorgan Nasdaq will appreciate offsetting losses from the drop in the long position's value.Moving together with JPMorgan Etf
| 0.96 | JEPI | JPMorgan Equity Premium | PairCorr |
| 0.99 | XYLD | Global X SP | PairCorr |
| 0.92 | DIVO | Amplify CWP Enhanced | PairCorr |
| 0.93 | RYLD | Global X Russell | PairCorr |
Moving against JPMorgan Etf
| 0.84 | KO | Coca Cola Fiscal Year End 11th of February 2025 | PairCorr |
The ability to find closely correlated positions to JPMorgan Nasdaq could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace JPMorgan Nasdaq when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back JPMorgan Nasdaq - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling JPMorgan Nasdaq Equity to buy it.
The correlation of JPMorgan Nasdaq is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as JPMorgan Nasdaq moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if JPMorgan Nasdaq Equity moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for JPMorgan Nasdaq can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out JPMorgan Nasdaq Correlation, JPMorgan Nasdaq Volatility and JPMorgan Nasdaq Alpha and Beta module to complement your research on JPMorgan Nasdaq. You can also try the Global Markets Map module to get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes.
JPMorgan Nasdaq 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.