JPMorgan ETFs (UK) Market Value
| JRED Etf | 39.61 0.44 1.10% |
| 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.
| 11/01/2024 |
| 12/01/2024 |
If you would invest 0.00 in JPMorgan ETFs on November 1, 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 30 days. JPMorgan ETFs is related to or competes with JPMorgan ETFs, JPMorgan ETFs, JPMorgan ETFs, JPMorgan ETFs, JPMorgan ETFs, and JPMorgan ETFs. JPMorgan ETFs is entity of United Kingdom 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' 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.
| Information Ratio | (0.26) | |||
| Maximum Drawdown | 3.23 | |||
| Value At Risk | (1.33) | |||
| Potential Upside | 1.23 |
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 | (0.06) | |||
| Jensen Alpha | (0.05) | |||
| Total Risk Alpha | (0.20) | |||
| Treynor Ratio | 0.5203 |
JPMorgan ETFs ICAV Backtested Returns
JPMorgan ETFs ICAV holds Efficiency (Sharpe) Ratio of -0.0944, which attests that the entity had a -0.0944% return per unit of volatility over the last 3 months. JPMorgan ETFs ICAV exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out JPMorgan ETFs' risk adjusted performance of (0.06), and Market Risk Adjusted Performance of 0.5303 to validate the risk estimate we provide. The etf retains a Market Volatility (i.e., Beta) of -0.13, which attests to not very significant fluctuations relative to the market. As returns on the market increase, returns on owning JPMorgan ETFs are expected to decrease at a much lower rate. During the bear market, JPMorgan ETFs is likely to outperform the market.
Auto-correlation | -0.25 |
Weak reverse predictability
JPMorgan ETFs ICAV has weak reverse predictability. Overlapping area represents the amount of predictability between JPMorgan ETFs time series from 1st of November 2024 to 16th of November 2024 and 16th of November 2024 to 1st 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 -0.25 indicates that over 25.0% of current JPMorgan ETFs price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.25 | |
| Spearman Rank Test | -0.47 | |
| Residual Average | 0.0 | |
| Price Variance | 0.06 |
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.Other Information on Investing in JPMorgan Etf
JPMorgan ETFs financial ratios help investors to determine whether JPMorgan Etf 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.