Jpmorgan Chase Co Stock Market Value
| JPM Stock | 32.56 0.52 1.62% |
| 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.
| 10/23/2024 |
| 11/22/2024 |
If you would invest 0.00 in JPMorgan Chase on October 23, 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 Canadian General, Diamond Estates, Verizon Communications, CNJ Capital, and Xtract One. JPMorgan Chase is entity of Canada. It is traded as Stock on NEO exchange. 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 | 1.75 | |||
| Information Ratio | 0.0474 | |||
| Maximum Drawdown | 16.24 | |||
| Value At Risk | (2.18) | |||
| Potential Upside | 1.88 |
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 | 0.0776 | |||
| Jensen Alpha | 0.0946 | |||
| Total Risk Alpha | (0.05) | |||
| Sortino Ratio | 0.0548 | |||
| Treynor Ratio | 0.1789 |
JPMorgan Chase Backtested Returns
JPMorgan Chase appears to be very steady, given 3 months investment horizon. JPMorgan Chase holds Efficiency (Sharpe) Ratio of 0.0971, which attests that the entity had a 0.0971% 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 risk adjusted performance of 0.0776, and Market Risk Adjusted Performance of 0.1889 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 7. The company retains a Market Volatility (i.e., Beta) of 1.01, which attests to a somewhat significant risk relative to the market. JPMorgan Chase returns are very sensitive to returns on the market. As the market goes up or down, JPMorgan Chase is expected to follow. Please check JPMorgan Chase's total risk alpha, downside variance, daily balance of power, as well as the relationship between the maximum drawdown and skewness , to make a quick decision on whether JPMorgan Chase's current trending patterns will revert.
Auto-correlation | 0.26 |
Poor predictability
JPMorgan Chase Co has poor predictability. Overlapping area represents the amount of predictability between JPMorgan Chase time series from 23rd of October 2024 to 7th of November 2024 and 7th of November 2024 to 22nd 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 price movement. The serial correlation of 0.26 indicates that nearly 26.0% of current JPMorgan Chase price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.26 | |
| Spearman Rank Test | -0.31 | |
| Residual Average | 0.0 | |
| Price Variance | 0.14 |
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 |
Pair Trading with JPMorgan Chase
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 Chase 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 Chase will appreciate offsetting losses from the drop in the long position's value.Moving together with JPMorgan Stock
The ability to find closely correlated positions to JPMorgan Chase 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 Chase 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 Chase - 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 Chase Co to buy it.
The correlation of JPMorgan Chase 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 Chase moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if JPMorgan Chase 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 Chase 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 Chase Correlation, JPMorgan Chase Volatility and JPMorgan Chase Alpha and Beta module to complement your research on JPMorgan Chase. You can also try the Portfolio Manager module to state of the art Portfolio Manager to monitor and improve performance of your invested capital.
JPMorgan Chase technical stock 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, stock market cycles, or different charting patterns.