Jpmorgan Tech Leaders Etf Market Value
| JTEK Etf | 69.97 2.15 3.17% |
| Symbol | JPMorgan |
The market value of JPMorgan Tech Leaders 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 Tech's value that differs from its market value or its book value, called intrinsic value, which is JPMorgan Tech'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 Tech's market value can be influenced by many factors that don't directly affect JPMorgan Tech'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 Tech's value and its price as these two are different measures arrived at by different means. Investors typically determine if JPMorgan Tech is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, JPMorgan Tech'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 Tech '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 Tech'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 Tech.
| 12/16/2024 |
| 03/16/2025 |
If you would invest 0.00 in JPMorgan Tech on December 16, 2024 and sell it all today you would earn a total of 0.00 from holding JPMorgan Tech Leaders or generate 0.0% return on investment in JPMorgan Tech over 90 days. JPMorgan Tech is related to or competes with First Trust, IShares Expanded, Invesco Dynamic, Invesco DWA, ProShares UltraShort, ProShares Ultra, and ProShares UltraShort. JPMorgan Tech is entity of United States More
JPMorgan Tech 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 Tech'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 Tech Leaders upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.05) | |||
| Maximum Drawdown | 9.44 | |||
| Value At Risk | (4.60) | |||
| Potential Upside | 2.49 |
JPMorgan Tech Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for JPMorgan Tech's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as JPMorgan Tech's standard deviation. In reality, there are many statistical measures that can use JPMorgan Tech historical prices to predict the future JPMorgan Tech's volatility.| Risk Adjusted Performance | (0.08) | |||
| Jensen Alpha | (0.09) | |||
| Total Risk Alpha | 0.0457 | |||
| Treynor Ratio | (0.19) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of JPMorgan Tech's 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 Tech Leaders Backtested Returns
JPMorgan Tech Leaders holds Efficiency (Sharpe) Ratio of -0.11, which attests that the entity had a -0.11 % return per unit of volatility over the last 3 months. JPMorgan Tech Leaders exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out JPMorgan Tech's risk adjusted performance of (0.08), and Market Risk Adjusted Performance of (0.18) to validate the risk estimate we provide. The etf retains a Market Volatility (i.e., Beta) of 1.15, which attests to a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, JPMorgan Tech will likely underperform.
Auto-correlation | -0.49 |
Modest reverse predictability
JPMorgan Tech Leaders has modest reverse predictability. Overlapping area represents the amount of predictability between JPMorgan Tech time series from 16th of December 2024 to 30th of January 2025 and 30th of January 2025 to 16th of March 2025. 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 Tech Leaders price movement. The serial correlation of -0.49 indicates that about 49.0% of current JPMorgan Tech price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.49 | |
| Spearman Rank Test | -0.17 | |
| Residual Average | 0.0 | |
| Price Variance | 31.45 |
JPMorgan Tech Leaders lagged returns against current returns
Autocorrelation, which is JPMorgan Tech 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 Tech's etf expected returns. We can calculate the autocorrelation of JPMorgan Tech returns to help us make a trade decision. For example, suppose you find that JPMorgan Tech 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 Tech 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 Tech etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if JPMorgan Tech etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in JPMorgan Tech etf over time.
Current vs Lagged Prices |
| Timeline |
JPMorgan Tech Lagged Returns
When evaluating JPMorgan Tech's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of JPMorgan Tech etf have on its future price. JPMorgan Tech 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 Tech autocorrelation shows the relationship between JPMorgan Tech etf current value and its past values and can show if there is a momentum factor associated with investing in JPMorgan Tech Leaders.
Regressed Prices |
| Timeline |
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JPMorgan Tech 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.