JPMorgan ETFs' market value is the price at which a share of JPMorgan ETFs trades on a public exchange. It measures the collective expectations of JPMorgan ETFs ICAV investors about its performance. JPMorgan ETFs is trading at 37.16 as of the 29th of December 2024, a 0.87% up since the beginning of the trading day. The etf's lowest day price was 37.08. With this module, you can estimate the performance of a buy and hold strategy of JPMorgan ETFs ICAV and determine expected loss or profit from investing in JPMorgan ETFs over a given investment horizon. Check out Risk vs Return Analysis to better understand how to build diversified portfolios. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in board of governors.
Symbol
JPMorgan
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' 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 ETFs.
0.00
07/02/2024
No Change 0.00
0.0
In 5 months and 30 days
12/29/2024
0.00
If you would invest 0.00 in JPMorgan ETFs on July 2, 2024 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 180 days.
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' 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 ETFs ICAV upside and downside potential and time the market with a certain degree of confidence.
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.
At this point, JPMorgan ETFs is very steady. JPMorgan ETFs ICAV holds Efficiency (Sharpe) Ratio of 0.0904, which attests that the entity had a 0.0904% return per unit of volatility over the last 3 months. We have found twenty-nine 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 0.068, and Market Risk Adjusted Performance of 0.8 to validate if the risk estimate we provide is consistent with the expected return of 0.0562%. The etf retains a Market Volatility (i.e., Beta) of 0.0564, 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
0.24
Weak predictability
JPMorgan ETFs ICAV has weak predictability. Overlapping area represents the amount of predictability between JPMorgan ETFs time series from 2nd of July 2024 to 30th of September 2024 and 30th of September 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 ETFs ICAV price movement. The serial correlation of 0.24 indicates that over 24.0% of current JPMorgan ETFs price fluctuation can be explain by its past prices.
Correlation Coefficient
0.24
Spearman Rank Test
0.13
Residual Average
0.0
Price Variance
0.35
JPMorgan ETFs ICAV lagged returns against current returns
Autocorrelation, which is JPMorgan ETFs 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 ETFs' etf 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 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 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 etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if JPMorgan ETFs etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in JPMorgan ETFs etf 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 etf 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 etf 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
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.