Jpmorgan Diversified Return Etf Market Value
JPIN Etf | USD 53.80 0.06 0.11% |
Symbol | JPMorgan |
The market value of JPMorgan Diversified 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 Diversified's value that differs from its market value or its book value, called intrinsic value, which is JPMorgan Diversified'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 Diversified's market value can be influenced by many factors that don't directly affect JPMorgan Diversified'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 Diversified's value and its price as these two are different measures arrived at by different means. Investors typically determine if JPMorgan Diversified is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, JPMorgan Diversified'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 Diversified '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 Diversified'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 Diversified.
11/29/2024 |
| 12/29/2024 |
If you would invest 0.00 in JPMorgan Diversified on November 29, 2024 and sell it all today you would earn a total of 0.00 from holding JPMorgan Diversified Return or generate 0.0% return on investment in JPMorgan Diversified over 30 days. JPMorgan Diversified is related to or competes with Global X, Global X, and IShares AsiaPacific. The fund will invest at least 80 percent of its assets in securities included in the underlying index More
JPMorgan Diversified 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 Diversified'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 Diversified Return upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | (0.24) | |||
Maximum Drawdown | 4.58 | |||
Value At Risk | (1.48) | |||
Potential Upside | 0.9419 |
JPMorgan Diversified Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for JPMorgan Diversified's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as JPMorgan Diversified's standard deviation. In reality, there are many statistical measures that can use JPMorgan Diversified historical prices to predict the future JPMorgan Diversified's volatility.Risk Adjusted Performance | (0.15) | |||
Jensen Alpha | (0.16) | |||
Total Risk Alpha | (0.18) | |||
Treynor Ratio | (1.08) |
JPMorgan Diversified Backtested Returns
JPMorgan Diversified holds Efficiency (Sharpe) Ratio of -0.24, which attests that the entity had a -0.24% return per unit of volatility over the last 3 months. JPMorgan Diversified exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out JPMorgan Diversified's market risk adjusted performance of (1.07), and Risk Adjusted Performance of (0.15) to validate the risk estimate we provide. The etf retains a Market Volatility (i.e., Beta) of 0.15, which attests to not very significant fluctuations relative to the market. As returns on the market increase, JPMorgan Diversified's returns are expected to increase less than the market. However, during the bear market, the loss of holding JPMorgan Diversified is expected to be smaller as well.
Auto-correlation | 0.38 |
Below average predictability
JPMorgan Diversified Return has below average predictability. Overlapping area represents the amount of predictability between JPMorgan Diversified time series from 29th of November 2024 to 14th of December 2024 and 14th of December 2024 to 29th 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 Diversified price movement. The serial correlation of 0.38 indicates that just about 38.0% of current JPMorgan Diversified price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.38 | |
Spearman Rank Test | 0.65 | |
Residual Average | 0.0 | |
Price Variance | 0.42 |
JPMorgan Diversified lagged returns against current returns
Autocorrelation, which is JPMorgan Diversified 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 Diversified's etf expected returns. We can calculate the autocorrelation of JPMorgan Diversified returns to help us make a trade decision. For example, suppose you find that JPMorgan Diversified 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 Diversified 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 Diversified etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if JPMorgan Diversified etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in JPMorgan Diversified etf over time.
Current vs Lagged Prices |
Timeline |
JPMorgan Diversified Lagged Returns
When evaluating JPMorgan Diversified's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of JPMorgan Diversified etf have on its future price. JPMorgan Diversified 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 Diversified autocorrelation shows the relationship between JPMorgan Diversified etf current value and its past values and can show if there is a momentum factor associated with investing in JPMorgan Diversified Return.
Regressed Prices |
Timeline |
Pair Trading with JPMorgan Diversified
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 Diversified 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 Diversified will appreciate offsetting losses from the drop in the long position's value.Moving together with JPMorgan Etf
0.98 | EFV | iShares MSCI EAFE Sell-off Trend | PairCorr |
0.99 | FNDF | Schwab Fundamental Sell-off Trend | PairCorr |
0.97 | VYMI | Vanguard International | PairCorr |
0.97 | IDV | iShares International | PairCorr |
0.97 | DFIV | Dimensional International | PairCorr |
Moving against JPMorgan Etf
The ability to find closely correlated positions to JPMorgan Diversified 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 Diversified 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 Diversified - 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 Diversified Return to buy it.
The correlation of JPMorgan Diversified 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 Diversified moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if JPMorgan Diversified 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 Diversified 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 Diversified Correlation, JPMorgan Diversified Volatility and JPMorgan Diversified Alpha and Beta module to complement your research on JPMorgan Diversified. You can also try the Top Crypto Exchanges module to search and analyze digital assets across top global cryptocurrency exchanges.
JPMorgan Diversified 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.