Jpmorgan Etfs Icav Etf Market Value
| JIREF Etf | USD 116.92 0.05 0.04% |
| Symbol | JPMorgan |
Please note, there is a significant difference between JPMorgan ETFs' value and its price as these two are different measures arrived at by different means. Investors typically determine if JPMorgan ETFs is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, JPMorgan ETFs' 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 ETFs '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 ETFs' pink sheet 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 ETFs.
| 12/07/2022 |
| 11/26/2024 |
If you would invest 0.00 in JPMorgan ETFs on December 7, 2022 and sell it all today you would earn a total of 0.00 from holding JPMorgan ETFs ICAV or generate 0.0% return on investment in JPMorgan ETFs over 720 days. JPMorgan ETFs is related to or competes with JPMorgan BetaBuilders. More
JPMorgan ETFs 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 ETFs' pink sheet 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 ETFs ICAV upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.1407 | |||
| Information Ratio | (1.01) | |||
| Maximum Drawdown | 0.6956 | |||
| Value At Risk | (0.13) | |||
| Potential Upside | 0.206 |
JPMorgan ETFs Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for JPMorgan ETFs' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as JPMorgan ETFs' standard deviation. In reality, there are many statistical measures that can use JPMorgan ETFs historical prices to predict the future JPMorgan ETFs' volatility.| Risk Adjusted Performance | 0.0693 | |||
| Jensen Alpha | 0.0076 | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | (0.80) | |||
| Treynor Ratio | 1.03 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of JPMorgan ETFs' 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 ETFs ICAV Backtested Returns
At this point, JPMorgan ETFs is very steady. JPMorgan ETFs ICAV holds Efficiency (Sharpe) Ratio of 0.12, which attests that the entity had a 0.12% return per unit of volatility over the last 3 months. We have found twenty-six technical indicators for JPMorgan ETFs ICAV, which you can use to evaluate the volatility of the entity. Please check out JPMorgan ETFs' risk adjusted performance of 0.0693, and Market Risk Adjusted Performance of 1.04 to validate if the risk estimate we provide is consistent with the expected return of 0.0132%. The etf retains a Market Volatility (i.e., Beta) of 0.0083, which attests to not very significant fluctuations relative to the market. As returns on the market increase, JPMorgan ETFs' returns are expected to increase less than the market. However, during the bear market, the loss of holding JPMorgan ETFs is expected to be smaller as well.
Auto-correlation | 0.97 |
Excellent predictability
JPMorgan ETFs ICAV has excellent predictability. Overlapping area represents the amount of predictability between JPMorgan ETFs time series from 7th of December 2022 to 2nd of December 2023 and 2nd of December 2023 to 26th 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 ETFs ICAV price movement. The serial correlation of 0.97 indicates that 97.0% of current JPMorgan ETFs price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.97 | |
| Spearman Rank Test | 0.98 | |
| Residual Average | 0.0 | |
| Price Variance | 3.52 |
JPMorgan ETFs ICAV lagged returns against current returns
Autocorrelation, which is JPMorgan ETFs pink sheet'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 ETFs' pink sheet expected returns. We can calculate the autocorrelation of JPMorgan ETFs returns to help us make a trade decision. For example, suppose you find that JPMorgan ETFs has exhibited high autocorrelation historically, and you observe that the pink sheet 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 ETFs 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 ETFs pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if JPMorgan ETFs pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in JPMorgan ETFs pink sheet over time.
Current vs Lagged Prices |
| Timeline |
JPMorgan ETFs Lagged Returns
When evaluating JPMorgan ETFs' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of JPMorgan ETFs pink sheet have on its future price. JPMorgan ETFs 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 ETFs autocorrelation shows the relationship between JPMorgan ETFs pink sheet current value and its past values and can show if there is a momentum factor associated with investing in JPMorgan ETFs ICAV.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in JPMorgan Pink Sheet
JPMorgan ETFs financial ratios help investors to determine whether JPMorgan Pink Sheet is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in JPMorgan with respect to the benefits of owning JPMorgan ETFs security.