JPMorgan 100Q (Australia) Market Value
| JPHQ Etf | 59.23 0.51 0.87% |
| Symbol | JPMorgan |
Please note, there is a significant difference between JPMorgan 100Q's value and its price as these two are different measures arrived at by different means. Investors typically determine if JPMorgan 100Q is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, JPMorgan 100Q'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 100Q '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 100Q'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 100Q.
| 05/28/2024 |
| 11/24/2024 |
If you would invest 0.00 in JPMorgan 100Q on May 28, 2024 and sell it all today you would earn a total of 0.00 from holding JPMorgan 100Q Equity or generate 0.0% return on investment in JPMorgan 100Q over 180 days. JPMorgan 100Q is related to or competes with IShares Global, Ridley, Adriatic Metals, and Australian Agricultural. JPMorgan 100Q is entity of Australia. It is traded as Etf on AU exchange. More
JPMorgan 100Q 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 100Q'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 100Q Equity upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.41 | |||
| Information Ratio | (0.04) | |||
| Maximum Drawdown | 6.13 | |||
| Value At Risk | (1.66) | |||
| Potential Upside | 1.58 |
JPMorgan 100Q Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for JPMorgan 100Q's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as JPMorgan 100Q's standard deviation. In reality, there are many statistical measures that can use JPMorgan 100Q historical prices to predict the future JPMorgan 100Q's volatility.| Risk Adjusted Performance | 0.0746 | |||
| Jensen Alpha | 0.0943 | |||
| Total Risk Alpha | (0.07) | |||
| Sortino Ratio | (0.03) | |||
| Treynor Ratio | (0.81) |
JPMorgan 100Q Equity Backtested Returns
Currently, JPMorgan 100Q Equity is very steady. JPMorgan 100Q Equity holds Efficiency (Sharpe) Ratio of 0.0945, which attests that the entity had a 0.0945% return per unit of volatility over the last 3 months. We have found thirty technical indicators for JPMorgan 100Q Equity, which you can use to evaluate the volatility of the entity. Please check out JPMorgan 100Q's market risk adjusted performance of (0.80), and Risk Adjusted Performance of 0.0746 to validate if the risk estimate we provide is consistent with the expected return of 0.0921%. The etf retains a Market Volatility (i.e., Beta) of -0.1, which attests to not very significant fluctuations relative to the market. As returns on the market increase, returns on owning JPMorgan 100Q are expected to decrease at a much lower rate. During the bear market, JPMorgan 100Q is likely to outperform the market.
Auto-correlation | -0.37 |
Poor reverse predictability
JPMorgan 100Q Equity has poor reverse predictability. Overlapping area represents the amount of predictability between JPMorgan 100Q time series from 28th of May 2024 to 26th of August 2024 and 26th of August 2024 to 24th 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 100Q Equity price movement. The serial correlation of -0.37 indicates that just about 37.0% of current JPMorgan 100Q price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.37 | |
| Spearman Rank Test | -0.33 | |
| Residual Average | 0.0 | |
| Price Variance | 2.38 |
JPMorgan 100Q Equity lagged returns against current returns
Autocorrelation, which is JPMorgan 100Q 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 100Q's etf expected returns. We can calculate the autocorrelation of JPMorgan 100Q returns to help us make a trade decision. For example, suppose you find that JPMorgan 100Q 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 100Q 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 100Q etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if JPMorgan 100Q etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in JPMorgan 100Q etf over time.
Current vs Lagged Prices |
| Timeline |
JPMorgan 100Q Lagged Returns
When evaluating JPMorgan 100Q's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of JPMorgan 100Q etf have on its future price. JPMorgan 100Q 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 100Q autocorrelation shows the relationship between JPMorgan 100Q etf current value and its past values and can show if there is a momentum factor associated with investing in JPMorgan 100Q Equity.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Other Information on Investing in JPMorgan Etf
JPMorgan 100Q financial ratios help investors to determine whether JPMorgan Etf is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in JPMorgan with respect to the benefits of owning JPMorgan 100Q security.