Jpmorgan Betabuilders Equity Etf Market Value
| BBUS Etf | USD 108.29 0.44 0.41% |
| Symbol | JPMorgan |
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.
| 09/27/2024 |
| 11/26/2024 |
If you would invest 0.00 in JPMorgan BetaBuilders on September 27, 2024 and sell it all today you would earn a total of 0.00 from holding JPMorgan BetaBuilders Equity or generate 0.0% return on investment in JPMorgan BetaBuilders over 60 days. JPMorgan BetaBuilders is related to or competes with Morningstar Unconstrained, High-yield Municipal, Via Renewables, Knife River, Klckner Co, CarMax, and SEI Investments. The underlying index is a free float adjusted market capitalization weighted index which consists of equity securities p... 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 Equity upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.8302 | |||
| Information Ratio | (0.02) | |||
| Maximum Drawdown | 3.88 | |||
| Value At Risk | (1.35) | |||
| Potential Upside | 1.17 |
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.| Risk Adjusted Performance | 0.1162 | |||
| Jensen Alpha | 0.0043 | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 0.1258 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of JPMorgan BetaBuilders' 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 BetaBuilders Backtested Returns
Currently, JPMorgan BetaBuilders Equity is very steady. JPMorgan BetaBuilders holds Efficiency (Sharpe) Ratio of 0.16, which attests that the entity had a 0.16% return per unit of volatility over the last 3 months. We have found twenty-eight technical indicators for JPMorgan BetaBuilders, which you can use to evaluate the volatility of the entity. Please check out JPMorgan BetaBuilders' market risk adjusted performance of 0.1358, and Risk Adjusted Performance of 0.1162 to validate if the risk estimate we provide is consistent with the expected return of 0.12%. The etf retains a Market Volatility (i.e., Beta) of 0.85, which attests to possible diversification benefits within a given portfolio. JPMorgan BetaBuilders returns are very sensitive to returns on the market. As the market goes up or down, JPMorgan BetaBuilders is expected to follow.
Auto-correlation | 0.72 |
Good predictability
JPMorgan BetaBuilders Equity has good predictability. Overlapping area represents the amount of predictability between JPMorgan BetaBuilders time series from 27th of September 2024 to 27th of October 2024 and 27th of October 2024 to 26th 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 BetaBuilders price movement. The serial correlation of 0.72 indicates that around 72.0% of current JPMorgan BetaBuilders price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.72 | |
| Spearman Rank Test | 0.43 | |
| Residual Average | 0.0 | |
| Price Variance | 3.27 |
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 Equity.
Regressed Prices |
| Timeline |
Thematic Opportunities
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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 Premium Stories module to follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope.
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.