Jpmorgan Active Small Etf Market Value

JPSV Etf   63.65  0.96  1.53%   
Jpmorgan Active's market value is the price at which a share of Jpmorgan Active trades on a public exchange. It measures the collective expectations of Jpmorgan Active Small investors about its performance. Jpmorgan Active is selling for under 63.65 as of the 23rd of November 2024; that is 1.53 percent increase since the beginning of the trading day. The etf's lowest day price was 63.57.
With this module, you can estimate the performance of a buy and hold strategy of Jpmorgan Active Small and determine expected loss or profit from investing in Jpmorgan Active over a given investment horizon. Check out Jpmorgan Active Correlation, Jpmorgan Active Volatility and Jpmorgan Active Alpha and Beta module to complement your research on Jpmorgan Active.
Symbol

The market value of Jpmorgan Active Small 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 Active's value that differs from its market value or its book value, called intrinsic value, which is Jpmorgan Active'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 Active's market value can be influenced by many factors that don't directly affect Jpmorgan Active'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 Active's value and its price as these two are different measures arrived at by different means. Investors typically determine if Jpmorgan Active is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Jpmorgan Active'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 Active '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 Active'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 Active.
0.00
10/24/2024
No Change 0.00  0.0 
In 31 days
11/23/2024
0.00
If you would invest  0.00  in Jpmorgan Active on October 24, 2024 and sell it all today you would earn a total of 0.00 from holding Jpmorgan Active Small or generate 0.0% return on investment in Jpmorgan Active over 30 days. Jpmorgan Active is related to or competes with JPMorgan Realty, and JP Morgan. Jpmorgan Active is entity of United States More

Jpmorgan Active 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 Active'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 Active Small upside and downside potential and time the market with a certain degree of confidence.

Jpmorgan Active Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Jpmorgan Active's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Jpmorgan Active's standard deviation. In reality, there are many statistical measures that can use Jpmorgan Active historical prices to predict the future Jpmorgan Active'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 Active'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
62.4663.6564.84
Details
Intrinsic
Valuation
LowRealHigh
61.6362.8264.01
Details
Naive
Forecast
LowNextHigh
61.0962.2863.47
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
62.4263.3364.24
Details

Jpmorgan Active Small Backtested Returns

At this stage we consider Jpmorgan Etf to be very steady. Jpmorgan Active Small holds Efficiency (Sharpe) Ratio of 0.0927, which attests that the entity had a 0.0927% return per unit of risk over the last 3 months. We have found thirty technical indicators for Jpmorgan Active Small, which you can use to evaluate the volatility of the entity. Please check out Jpmorgan Active's Market Risk Adjusted Performance of 0.1138, downside deviation of 0.8944, and Risk Adjusted Performance of 0.0985 to validate if the risk estimate we provide is consistent with the expected return of 0.11%. The etf retains a Market Volatility (i.e., Beta) of 1.36, 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 Active will likely underperform.

Auto-correlation

    
  0.55  

Modest predictability

Jpmorgan Active Small has modest predictability. Overlapping area represents the amount of predictability between Jpmorgan Active time series from 24th of October 2024 to 8th of November 2024 and 8th of November 2024 to 23rd 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 Jpmorgan Active Small price movement. The serial correlation of 0.55 indicates that about 55.0% of current Jpmorgan Active price fluctuation can be explain by its past prices.
Correlation Coefficient0.55
Spearman Rank Test0.17
Residual Average0.0
Price Variance0.53

Jpmorgan Active Small lagged returns against current returns

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

Jpmorgan Active Lagged Returns

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

Thematic Opportunities

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Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
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When determining whether Jpmorgan Active Small is a strong investment it is important to analyze Jpmorgan Active'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 Active's future performance. For an informed investment choice regarding Jpmorgan Etf, refer to the following important reports:
Check out Jpmorgan Active Correlation, Jpmorgan Active Volatility and Jpmorgan Active Alpha and Beta module to complement your research on Jpmorgan Active.
You can also try the Content Syndication module to quickly integrate customizable finance content to your own investment portal.
Jpmorgan Active 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 Active technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Jpmorgan Active 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...