Jpmorgan Quality Factor Etf Market Value
| JQUA Etf | USD 50.64 0.48 0.96% |
| Symbol | JPMorgan |
The market value of JPMorgan Quality Factor 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 Quality's value that differs from its market value or its book value, called intrinsic value, which is JPMorgan Quality'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 Quality's market value can be influenced by many factors that don't directly affect JPMorgan Quality'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 Quality's value and its price as these two are different measures arrived at by different means. Investors typically determine if JPMorgan Quality is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, JPMorgan Quality'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 Quality '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 Quality'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 Quality.
| 03/25/2024 |
| 04/24/2024 |
If you would invest 0.00 in JPMorgan Quality on March 25, 2024 and sell it all today you would earn a total of 0.00 from holding JPMorgan Quality Factor or generate 0.0% return on investment in JPMorgan Quality over 30 days. JPMorgan Quality is related to or competes with SPDR MSCI, SPDR MSCI, SPDR Russell, and SPDR Russell. The fund will invest at least 80 percent of its assets in securities included in the underlying index More
JPMorgan Quality 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 Quality'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 Quality Factor upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.7232 | |||
| Information Ratio | (0.06) | |||
| Maximum Drawdown | 3.42 | |||
| Value At Risk | (1.27) | |||
| Potential Upside | 1.06 |
JPMorgan Quality Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for JPMorgan Quality's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as JPMorgan Quality's standard deviation. In reality, there are many statistical measures that can use JPMorgan Quality historical prices to predict the future JPMorgan Quality's volatility.| Risk Adjusted Performance | 0.0472 | |||
| Jensen Alpha | (0.04) | |||
| Total Risk Alpha | (0.06) | |||
| Sortino Ratio | (0.06) | |||
| Treynor Ratio | 0.0426 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of JPMorgan Quality'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 Quality Factor Backtested Returns
We consider JPMorgan Quality very steady. JPMorgan Quality Factor holds Efficiency (Sharpe) Ratio of 0.0572, which attests that the entity had a 0.0572% return per unit of volatility over the last 3 months. We have found twenty-nine technical indicators for JPMorgan Quality Factor, which you can use to evaluate the volatility of the entity. Please check out JPMorgan Quality's market risk adjusted performance of 0.0526, and Risk Adjusted Performance of 0.0472 to validate if the risk estimate we provide is consistent with the expected return of 0.042%. The etf retains a Market Volatility (i.e., Beta) of 1.01, which attests to a somewhat significant risk relative to the market. JPMorgan Quality returns are very sensitive to returns on the market. As the market goes up or down, JPMorgan Quality is expected to follow.
Auto-correlation | 0.57 |
Modest predictability
JPMorgan Quality Factor has modest predictability. Overlapping area represents the amount of predictability between JPMorgan Quality time series from 25th of March 2024 to 9th of April 2024 and 9th of April 2024 to 24th of April 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 Quality Factor price movement. The serial correlation of 0.57 indicates that roughly 57.0% of current JPMorgan Quality price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.57 | |
| Spearman Rank Test | 0.45 | |
| Residual Average | 0.0 | |
| Price Variance | 0.64 |
JPMorgan Quality Factor lagged returns against current returns
Autocorrelation, which is JPMorgan Quality 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 Quality's etf expected returns. We can calculate the autocorrelation of JPMorgan Quality returns to help us make a trade decision. For example, suppose you find that JPMorgan Quality 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 Quality 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 Quality etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if JPMorgan Quality etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in JPMorgan Quality etf over time.
Current vs Lagged Prices |
| Timeline |
JPMorgan Quality Lagged Returns
When evaluating JPMorgan Quality's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of JPMorgan Quality etf have on its future price. JPMorgan Quality 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 Quality autocorrelation shows the relationship between JPMorgan Quality etf current value and its past values and can show if there is a momentum factor associated with investing in JPMorgan Quality Factor.
Regressed Prices |
| Timeline |
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JPMorgan Quality 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.