Jp Morgan Exchange Traded Etf Market Value
| BBIB Etf | 96.85 0.08 0.08% |
| Symbol | BBIB |
The market value of JP Morgan Exchange is measured differently than its book value, which is the value of BBIB that is recorded on the company's balance sheet. Investors also form their own opinion of JP Morgan's value that differs from its market value or its book value, called intrinsic value, which is JP Morgan'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 JP Morgan's market value can be influenced by many factors that don't directly affect JP Morgan'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 JP Morgan's value and its price as these two are different measures arrived at by different means. Investors typically determine if JP Morgan is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, JP Morgan'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.
JP Morgan '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 JP Morgan'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 JP Morgan.
| 12/29/2023 |
| 11/23/2024 |
If you would invest 0.00 in JP Morgan on December 29, 2023 and sell it all today you would earn a total of 0.00 from holding JP Morgan Exchange Traded or generate 0.0% return on investment in JP Morgan over 330 days. JP Morgan is related to or competes with First Advantage, ATS, Putnam ETF, and US Treasury. JP Morgan is entity of United States. It is traded as Etf on BATS exchange. More
JP Morgan 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 JP Morgan'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 JP Morgan Exchange Traded upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.63) | |||
| Maximum Drawdown | 1.28 | |||
| Value At Risk | (0.35) | |||
| Potential Upside | 0.3753 |
JP Morgan Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for JP Morgan's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as JP Morgan's standard deviation. In reality, there are many statistical measures that can use JP Morgan historical prices to predict the future JP Morgan's volatility.| Risk Adjusted Performance | (0.10) | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.08) | |||
| Treynor Ratio | 0.4504 |
JP Morgan Exchange Backtested Returns
JP Morgan Exchange retains Efficiency (Sharpe Ratio) of -0.13, which attests that the entity had a -0.13% return per unit of price deviation over the last 3 months. JP Morgan exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out JP Morgan's Coefficient Of Variation of (944.30), market risk adjusted performance of 0.4604, and Information Ratio of (0.63) to validate the risk estimate we provide. The etf owns a Beta (Systematic Risk) of -0.0814, which attests to not very significant fluctuations relative to the market. As returns on the market increase, returns on owning JP Morgan are expected to decrease at a much lower rate. During the bear market, JP Morgan is likely to outperform the market.
Auto-correlation | -0.6 |
Good reverse predictability
JP Morgan Exchange Traded has good reverse predictability. Overlapping area represents the amount of predictability between JP Morgan time series from 29th of December 2023 to 11th of June 2024 and 11th of June 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 JP Morgan Exchange price movement. The serial correlation of -0.6 indicates that roughly 60.0% of current JP Morgan price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.6 | |
| Spearman Rank Test | -0.16 | |
| Residual Average | 0.0 | |
| Price Variance | 2.37 |
JP Morgan Exchange lagged returns against current returns
Autocorrelation, which is JP Morgan 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 JP Morgan's etf expected returns. We can calculate the autocorrelation of JP Morgan returns to help us make a trade decision. For example, suppose you find that JP Morgan 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 |
JP Morgan 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 JP Morgan etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if JP Morgan etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in JP Morgan etf over time.
Current vs Lagged Prices |
| Timeline |
JP Morgan Lagged Returns
When evaluating JP Morgan's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of JP Morgan etf have on its future price. JP Morgan 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, JP Morgan autocorrelation shows the relationship between JP Morgan etf current value and its past values and can show if there is a momentum factor associated with investing in JP Morgan Exchange Traded.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.When determining whether JP Morgan Exchange is a strong investment it is important to analyze JP Morgan'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 JP Morgan's future performance. For an informed investment choice regarding BBIB Etf, refer to the following important reports:Check out JP Morgan Correlation, JP Morgan Volatility and JP Morgan Alpha and Beta module to complement your research on JP Morgan. You can also try the Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
JP Morgan 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.