Jpmorgan Value Factor Etf Market Value

JVAL Etf  USD 39.93  0.38  0.96%   
JPMorgan Value's market value is the price at which a share of JPMorgan Value trades on a public exchange. It measures the collective expectations of JPMorgan Value Factor investors about its performance. JPMorgan Value is selling for 39.93 as of the 24th of April 2024. This is a 0.96 percent increase since the beginning of the trading day. The etf's lowest day price was 39.62.
With this module, you can estimate the performance of a buy and hold strategy of JPMorgan Value Factor and determine expected loss or profit from investing in JPMorgan Value over a given investment horizon. Check out JPMorgan Value Correlation, JPMorgan Value Volatility and JPMorgan Value Alpha and Beta module to complement your research on JPMorgan Value.
Symbol

The market value of JPMorgan Value 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 Value's value that differs from its market value or its book value, called intrinsic value, which is JPMorgan Value'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 Value's market value can be influenced by many factors that don't directly affect JPMorgan Value'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 Value's value and its price as these two are different measures arrived at by different means. Investors typically determine if JPMorgan Value is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, JPMorgan Value'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 Value '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 Value'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 Value.
0.00
03/25/2024
No Change 0.00  0.0 
In 30 days
04/24/2024
0.00
If you would invest  0.00  in JPMorgan Value on March 25, 2024 and sell it all today you would earn a total of 0.00 from holding JPMorgan Value Factor or generate 0.0% return on investment in JPMorgan Value over 30 days. JPMorgan Value is related to or competes with Northern Lights, HUMANA, Barloworld, Morningstar Unconstrained, Thrivent High, High-yield Municipal, and Via Renewables. The fund will invest at least 80 percent of its assets in securities included in the underlying index More

JPMorgan Value 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 Value'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 Value Factor upside and downside potential and time the market with a certain degree of confidence.

JPMorgan Value Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for JPMorgan Value's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as JPMorgan Value's standard deviation. In reality, there are many statistical measures that can use JPMorgan Value historical prices to predict the future JPMorgan Value's volatility.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of JPMorgan Value'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.
Hype
Prediction
LowEstimatedHigh
39.1539.9240.69
Details
Intrinsic
Valuation
LowRealHigh
39.1739.9440.71
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as JPMorgan Value. Your research has to be compared to or analyzed against JPMorgan Value's peers to derive any actionable benefits. When done correctly, JPMorgan Value's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in JPMorgan Value Factor.

JPMorgan Value Factor Backtested Returns

We consider JPMorgan Value very steady. JPMorgan Value Factor holds Efficiency (Sharpe) Ratio of 0.0663, which attests that the entity had a 0.0663% return per unit of volatility over the last 3 months. We have found twenty-eight technical indicators for JPMorgan Value Factor, which you can use to evaluate the volatility of the entity. Please check out JPMorgan Value's market risk adjusted performance of 0.0603, and Risk Adjusted Performance of 0.0571 to validate if the risk estimate we provide is consistent with the expected return of 0.0509%. 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 Value will likely underperform.

Auto-correlation

    
  0.11  

Insignificant predictability

JPMorgan Value Factor has insignificant predictability. Overlapping area represents the amount of predictability between JPMorgan Value 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 Value Factor price movement. The serial correlation of 0.11 indicates that less than 11.0% of current JPMorgan Value price fluctuation can be explain by its past prices.
Correlation Coefficient0.11
Spearman Rank Test0.26
Residual Average0.0
Price Variance0.39

JPMorgan Value Factor lagged returns against current returns

Autocorrelation, which is JPMorgan Value 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 Value's etf expected returns. We can calculate the autocorrelation of JPMorgan Value returns to help us make a trade decision. For example, suppose you find that JPMorgan Value 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 Value 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 Value etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if JPMorgan Value etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in JPMorgan Value etf over time.
   Current vs Lagged Prices   
       Timeline  

JPMorgan Value Lagged Returns

When evaluating JPMorgan Value's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of JPMorgan Value etf have on its future price. JPMorgan Value 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 Value autocorrelation shows the relationship between JPMorgan Value etf current value and its past values and can show if there is a momentum factor associated with investing in JPMorgan Value Factor.
   Regressed Prices   
       Timeline  

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When determining whether JPMorgan Value Factor is a strong investment it is important to analyze JPMorgan Value's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact JPMorgan Value's future performance. For an informed investment choice regarding JPMorgan Etf, refer to the following important reports:
Check out JPMorgan Value Correlation, JPMorgan Value Volatility and JPMorgan Value Alpha and Beta module to complement your research on JPMorgan Value.
Note that the JPMorgan Value Factor information on this page should be used as a complementary analysis to other JPMorgan Value's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the CEOs Directory module to screen CEOs from public companies around the world.
JPMorgan Value 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.
A focus of JPMorgan Value technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of JPMorgan Value trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...