JPMorgan Chase (Germany) Market Value
| CMC Stock | 228.65 2.50 1.08% |
| Symbol | JPMorgan |
JPMorgan Chase '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 Chase's stock 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 Chase.
| 11/15/2024 |
| 12/15/2024 |
If you would invest 0.00 in JPMorgan Chase on November 15, 2024 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 Chase over 30 days. JPMorgan Chase is related to or competes with Axcelis Technologies, TEXAS ROADHOUSE, RCM TECHNOLOGIES, FARO Technologies, ITALIAN WINE, and TRAINLINE PLC. More
JPMorgan Chase 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 Chase's stock 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.
| Downside Deviation | 0.9222 | |||
| Information Ratio | 0.1277 | |||
| Maximum Drawdown | 14.89 | |||
| Value At Risk | (1.43) | |||
| Potential Upside | 2.49 |
JPMorgan Chase Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for JPMorgan Chase's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as JPMorgan Chase's standard deviation. In reality, there are many statistical measures that can use JPMorgan Chase historical prices to predict the future JPMorgan Chase's volatility.| Risk Adjusted Performance | 0.1365 | |||
| Jensen Alpha | 0.3324 | |||
| Total Risk Alpha | 0.0967 | |||
| Sortino Ratio | 0.2668 | |||
| Treynor Ratio | 8.14 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of JPMorgan Chase's 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 Chase Backtested Returns
JPMorgan Chase appears to be very steady, given 3 months investment horizon. JPMorgan Chase holds Efficiency (Sharpe) Ratio of 0.18, which attests that the entity had a 0.18% return per unit of volatility over the last 3 months. We have found twenty-nine technical indicators for JPMorgan Chase, which you can use to evaluate the volatility of the firm. Please utilize JPMorgan Chase's market risk adjusted performance of 8.15, and Risk Adjusted Performance of 0.1365 to validate if our risk estimates are consistent with your expectations. On a scale of 0 to 100, JPMorgan Chase holds a performance score of 14. The company retains a Market Volatility (i.e., Beta) of 0.0413, which attests to not very significant fluctuations relative to the market. As returns on the market increase, JPMorgan Chase's returns are expected to increase less than the market. However, during the bear market, the loss of holding JPMorgan Chase is expected to be smaller as well. Please check JPMorgan Chase's total risk alpha, expected short fall, market facilitation index, as well as the relationship between the value at risk and daily balance of power , to make a quick decision on whether JPMorgan Chase's current trending patterns will revert.
Auto-correlation | -0.52 |
Good reverse predictability
JPMorgan Chase Co has good reverse predictability. Overlapping area represents the amount of predictability between JPMorgan Chase time series from 15th of November 2024 to 30th of November 2024 and 30th of November 2024 to 15th 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 Chase price movement. The serial correlation of -0.52 indicates that about 52.0% of current JPMorgan Chase price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.52 | |
| Spearman Rank Test | -0.38 | |
| Residual Average | 0.0 | |
| Price Variance | 3.8 |
JPMorgan Chase lagged returns against current returns
Autocorrelation, which is JPMorgan Chase stock'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 Chase's stock expected returns. We can calculate the autocorrelation of JPMorgan Chase returns to help us make a trade decision. For example, suppose you find that JPMorgan Chase has exhibited high autocorrelation historically, and you observe that the stock 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 Chase 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 Chase stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if JPMorgan Chase stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in JPMorgan Chase stock over time.
Current vs Lagged Prices |
| Timeline |
JPMorgan Chase Lagged Returns
When evaluating JPMorgan Chase's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of JPMorgan Chase stock have on its future price. JPMorgan Chase 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 Chase autocorrelation shows the relationship between JPMorgan Chase stock 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.Additional Tools for JPMorgan Stock Analysis
When running JPMorgan Chase's price analysis, check to measure JPMorgan Chase's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy JPMorgan Chase is operating at the current time. Most of JPMorgan Chase's value examination focuses on studying past and present price action to predict the probability of JPMorgan Chase's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move JPMorgan Chase's price. Additionally, you may evaluate how the addition of JPMorgan Chase to your portfolios can decrease your overall portfolio volatility.