JPM Research's market value is the price at which a share of JPM Research trades on a public exchange. It measures the collective expectations of JPM Research Enhanced investors about its performance. JPM Research is selling for under 2684.50 as of the 28th of November 2024; that is 1.1 percent decrease since the beginning of the trading day. The etf's lowest day price was 2684.5. With this module, you can estimate the performance of a buy and hold strategy of JPM Research Enhanced and determine expected loss or profit from investing in JPM Research 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
JPM
JPM Research '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 JPM Research'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 JPM Research.
0.00
12/09/2022
No Change 0.00
0.0
In 1 year 11 months and 21 days
11/28/2024
0.00
If you would invest 0.00 in JPM Research on December 9, 2022 and sell it all today you would earn a total of 0.00 from holding JPM Research Enhanced or generate 0.0% return on investment in JPM Research over 720 days.
JPM Research 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 JPM Research'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 JPM Research Enhanced 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 JPM Research's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as JPM Research's standard deviation. In reality, there are many statistical measures that can use JPM Research historical prices to predict the future JPM Research's volatility.
Currently, JPM Research Enhanced is very steady. JPM Research Enhanced holds Efficiency (Sharpe) Ratio of 0.22, which attests that the entity had a 0.22% return per unit of volatility over the last 3 months. We have found thirty technical indicators for JPM Research Enhanced, which you can use to evaluate the volatility of the entity. Please check out JPM Research's market risk adjusted performance of 4.23, and Risk Adjusted Performance of 0.1823 to validate if the risk estimate we provide is consistent with the expected return of 0.17%. The etf retains a Market Volatility (i.e., Beta) of 0.0401, which attests to not very significant fluctuations relative to the market. As returns on the market increase, JPM Research's returns are expected to increase less than the market. However, during the bear market, the loss of holding JPM Research is expected to be smaller as well.
Auto-correlation
0.29
Poor predictability
JPM Research Enhanced has poor predictability. Overlapping area represents the amount of predictability between JPM Research time series from 9th of December 2022 to 4th of December 2023 and 4th of December 2023 to 28th 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 JPM Research Enhanced price movement. The serial correlation of 0.29 indicates that nearly 29.0% of current JPM Research price fluctuation can be explain by its past prices.
Correlation Coefficient
0.29
Spearman Rank Test
0.37
Residual Average
0.0
Price Variance
6117.17
JPM Research Enhanced lagged returns against current returns
Autocorrelation, which is JPM Research 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 JPM Research's etf expected returns. We can calculate the autocorrelation of JPM Research returns to help us make a trade decision. For example, suppose you find that JPM Research 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
JPM Research 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 JPM Research etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if JPM Research etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in JPM Research etf over time.
Current vs Lagged Prices
Timeline
JPM Research Lagged Returns
When evaluating JPM Research's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of JPM Research etf have on its future price. JPM Research 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, JPM Research autocorrelation shows the relationship between JPM Research etf current value and its past values and can show if there is a momentum factor associated with investing in JPM Research Enhanced.
Regressed Prices
Timeline
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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.