JPMORGAN CHASE CO Market Value
| 46647PBN5 | 69.93 1.61 2.36% |
| Symbol | JPMORGAN |
JPMORGAN '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's bond 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.
| 12/07/2022 |
| 11/26/2024 |
If you would invest 0.00 in JPMORGAN on December 7, 2022 and sell it all today you would earn a total of 0.00 from holding JPMORGAN CHASE CO or generate 0.0% return on investment in JPMORGAN over 720 days. JPMORGAN is related to or competes with 00108WAF7, 90331HPL1, Charles Schwab, Knightscope, Liberty Media, Marvell Technology, and GM. More
JPMORGAN 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's bond 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 CHASE CO upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.09) | |||
| Maximum Drawdown | 31.85 | |||
| Value At Risk | (3.53) | |||
| Potential Upside | 5.0 |
JPMORGAN Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for JPMORGAN's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as JPMORGAN's standard deviation. In reality, there are many statistical measures that can use JPMORGAN historical prices to predict the future JPMORGAN's volatility.| Risk Adjusted Performance | (0.04) | |||
| Total Risk Alpha | (0.85) |
JPMORGAN CHASE CO Backtested Returns
JPMORGAN CHASE CO holds Efficiency (Sharpe) Ratio of -0.0533, which attests that the entity had a -0.0533% return per unit of volatility over the last 3 months. JPMORGAN CHASE CO exposes eighteen different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out JPMORGAN's risk adjusted performance of (0.04), and Mean Deviation of 1.8 to validate the risk estimate we provide. The bond retains a Market Volatility (i.e., Beta) of 0.0, which attests to not very significant fluctuations relative to the market. the returns on MARKET and JPMORGAN are completely uncorrelated.
Auto-correlation | -0.42 |
Modest reverse predictability
JPMORGAN CHASE CO has modest reverse predictability. Overlapping area represents the amount of predictability between JPMORGAN time series from 7th of December 2022 to 2nd of December 2023 and 2nd of December 2023 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 CHASE CO price movement. The serial correlation of -0.42 indicates that just about 42.0% of current JPMORGAN price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.42 | |
| Spearman Rank Test | -0.27 | |
| Residual Average | 0.0 | |
| Price Variance | 4.81 |
JPMORGAN CHASE CO lagged returns against current returns
Autocorrelation, which is JPMORGAN bond'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's bond expected returns. We can calculate the autocorrelation of JPMORGAN returns to help us make a trade decision. For example, suppose you find that JPMORGAN has exhibited high autocorrelation historically, and you observe that the bond 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 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 bond is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if JPMORGAN bond is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in JPMORGAN bond over time.
Current vs Lagged Prices |
| Timeline |
JPMORGAN Lagged Returns
When evaluating JPMORGAN's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of JPMORGAN bond have on its future price. JPMORGAN 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 autocorrelation shows the relationship between JPMORGAN bond current value and its past values and can show if there is a momentum factor associated with investing in JPMORGAN CHASE CO.
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.Other Information on Investing in JPMORGAN Bond
JPMORGAN financial ratios help investors to determine whether JPMORGAN Bond 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 security.