Jpmorgan Betabuilders Aggregate Etf Market Value

JAGG Etf  USD 46.16  0.10  0.22%   
JPMorgan BetaBuilders' market value is the price at which a share of JPMorgan BetaBuilders trades on a public exchange. It measures the collective expectations of JPMorgan BetaBuilders Aggregate investors about its performance. JPMorgan BetaBuilders is trading at 46.16 as of the 4th of December 2024. This is a 0.22 percent increase since the beginning of the trading day. The etf's lowest day price was 46.01.
With this module, you can estimate the performance of a buy and hold strategy of JPMorgan BetaBuilders Aggregate and determine expected loss or profit from investing in JPMorgan BetaBuilders over a given investment horizon. Check out JPMorgan BetaBuilders Correlation, JPMorgan BetaBuilders Volatility and JPMorgan BetaBuilders Alpha and Beta module to complement your research on JPMorgan BetaBuilders.
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The market value of JPMorgan BetaBuilders 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 BetaBuilders' value that differs from its market value or its book value, called intrinsic value, which is JPMorgan BetaBuilders' 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 BetaBuilders' market value can be influenced by many factors that don't directly affect JPMorgan BetaBuilders' 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 BetaBuilders' value and its price as these two are different measures arrived at by different means. Investors typically determine if JPMorgan BetaBuilders is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, JPMorgan BetaBuilders' 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 BetaBuilders '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 BetaBuilders' 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 BetaBuilders.
0.00
09/05/2024
No Change 0.00  0.0 
In 3 months and 1 day
12/04/2024
0.00
If you would invest  0.00  in JPMorgan BetaBuilders on September 5, 2024 and sell it all today you would earn a total of 0.00 from holding JPMorgan BetaBuilders Aggregate or generate 0.0% return on investment in JPMorgan BetaBuilders over 90 days. Under normal circumstances, the fund invests at least 80 percent of its assets in bonds denominated in U.S More

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

JPMorgan BetaBuilders Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for JPMorgan BetaBuilders' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as JPMorgan BetaBuilders' standard deviation. In reality, there are many statistical measures that can use JPMorgan BetaBuilders historical prices to predict the future JPMorgan BetaBuilders' volatility.
Hype
Prediction
LowEstimatedHigh
45.8546.1646.47
Details
Intrinsic
Valuation
LowRealHigh
45.8846.1946.50
Details
Naive
Forecast
LowNextHigh
46.1046.4146.72
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
45.5545.8346.11
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as JPMorgan BetaBuilders. Your research has to be compared to or analyzed against JPMorgan BetaBuilders' peers to derive any actionable benefits. When done correctly, JPMorgan BetaBuilders' 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 BetaBuilders.

JPMorgan BetaBuilders Backtested Returns

JPMorgan BetaBuilders holds Efficiency (Sharpe) Ratio of -0.0666, which attests that the entity had a -0.0666% return per unit of volatility over the last 3 months. JPMorgan BetaBuilders exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out JPMorgan BetaBuilders' market risk adjusted performance of (0.20), and Risk Adjusted Performance of (0.03) to validate the risk estimate we provide. The etf retains a Market Volatility (i.e., Beta) of 0.0693, which attests to not very significant fluctuations relative to the market. As returns on the market increase, JPMorgan BetaBuilders' returns are expected to increase less than the market. However, during the bear market, the loss of holding JPMorgan BetaBuilders is expected to be smaller as well.

Auto-correlation

    
  -0.41  

Modest reverse predictability

JPMorgan BetaBuilders Aggregate has modest reverse predictability. Overlapping area represents the amount of predictability between JPMorgan BetaBuilders time series from 5th of September 2024 to 20th of October 2024 and 20th of October 2024 to 4th 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 BetaBuilders price movement. The serial correlation of -0.41 indicates that just about 41.0% of current JPMorgan BetaBuilders price fluctuation can be explain by its past prices.
Correlation Coefficient-0.41
Spearman Rank Test0.02
Residual Average0.0
Price Variance0.05

JPMorgan BetaBuilders lagged returns against current returns

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

JPMorgan BetaBuilders Lagged Returns

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

Currently Active Assets on Macroaxis

When determining whether JPMorgan BetaBuilders is a strong investment it is important to analyze JPMorgan BetaBuilders' 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 BetaBuilders' future performance. For an informed investment choice regarding JPMorgan Etf, refer to the following important reports:
Check out JPMorgan BetaBuilders Correlation, JPMorgan BetaBuilders Volatility and JPMorgan BetaBuilders Alpha and Beta module to complement your research on JPMorgan BetaBuilders.
You can also try the Funds Screener module to find actively-traded funds from around the world traded on over 30 global exchanges.
JPMorgan BetaBuilders 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 BetaBuilders technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of JPMorgan BetaBuilders 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...