Jpmorgan Betabuilders Japan Etf Market Value
| BBJP Etf | USD 58.39 0.74 1.28% |
| 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.
| 01/12/2023 |
| 12/02/2024 |
If you would invest 0.00 in JPMorgan BetaBuilders on January 12, 2023 and sell it all today you would earn a total of 0.00 from holding JPMorgan BetaBuilders Japan or generate 0.0% return on investment in JPMorgan BetaBuilders over 690 days. JPMorgan BetaBuilders is related to or competes with JPMorgan BetaBuilders, JPMorgan BetaBuilders, JPMorgan BetaBuilders, Six Circles, and Six Circles. The fund will invest at least 80 percent of its assets in securities included in the underlying index 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 Japan upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.15) | |||
| Maximum Drawdown | 5.54 | |||
| Value At Risk | (1.95) | |||
| Potential Upside | 1.93 |
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 | (0.02) | |||
| Jensen Alpha | (0.13) | |||
| Total Risk Alpha | (0.23) | |||
| Treynor Ratio | (0.06) |
JPMorgan BetaBuilders Backtested Returns
JPMorgan BetaBuilders holds Efficiency (Sharpe) Ratio of -0.0012, which attests that the entity had a -0.0012% return per unit of volatility over the last 3 months. JPMorgan BetaBuilders exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out JPMorgan BetaBuilders' risk adjusted performance of (0.02), and Market Risk Adjusted Performance of (0.05) to validate the risk estimate we provide. The etf retains a Market Volatility (i.e., Beta) of 0.73, which attests to possible diversification benefits within a given portfolio. 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 | 0.31 |
Below average predictability
JPMorgan BetaBuilders Japan has below average predictability. Overlapping area represents the amount of predictability between JPMorgan BetaBuilders time series from 12th of January 2023 to 23rd of December 2023 and 23rd of December 2023 to 2nd 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 0.31 indicates that nearly 31.0% of current JPMorgan BetaBuilders price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.31 | |
| Spearman Rank Test | 0.33 | |
| Residual Average | 0.0 | |
| Price Variance | 3.34 |
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 Japan.
Regressed Prices |
| Timeline |
Pair Trading with JPMorgan BetaBuilders
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if JPMorgan BetaBuilders position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in JPMorgan BetaBuilders will appreciate offsetting losses from the drop in the long position's value.Moving together with JPMorgan Etf
Moving against JPMorgan Etf
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The ability to find closely correlated positions to JPMorgan BetaBuilders could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace JPMorgan BetaBuilders when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back JPMorgan BetaBuilders - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling JPMorgan BetaBuilders Japan to buy it.
The correlation of JPMorgan BetaBuilders is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as JPMorgan BetaBuilders moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if JPMorgan BetaBuilders moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for JPMorgan BetaBuilders can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.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 Idea Breakdown module to analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes.
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.