Jpmorgan Chase Co Stock Market Value
| JPM Stock | USD 244.76 3.98 1.65% |
| Symbol | JPMorgan |
JPMorgan Chase Price To Book Ratio
Is Diversified Banks space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of JPMorgan Chase. If investors know JPMorgan will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about JPMorgan Chase listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth 0.009 | Dividend Share 4.6 | Earnings Share 17.82 | Revenue Per Share 56.043 | Quarterly Revenue Growth 0.03 |
The market value of JPMorgan Chase 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 Chase's value that differs from its market value or its book value, called intrinsic value, which is JPMorgan Chase's 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 Chase's market value can be influenced by many factors that don't directly affect JPMorgan Chase's 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 Chase's value and its price as these two are different measures arrived at by different means. Investors typically determine if JPMorgan Chase is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, JPMorgan Chase'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 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 Citigroup, Wells Fargo, Toronto Dominion, Nu Holdings, Bank of America, HSBC Holdings, and Royal Bank. JPMorgan Chase Co. operates as a financial services company worldwide 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 | 1.69 | |||
| Information Ratio | 0.0541 | |||
| Maximum Drawdown | 15.87 | |||
| Value At Risk | (2.00) | |||
| Potential Upside | 2.05 |
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 | 0.083 | |||
| Jensen Alpha | 0.0344 | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | 0.0638 | |||
| Treynor Ratio | 0.1039 |
JPMorgan Chase Backtested Returns
JPMorgan Chase appears to be very steady, given 3 months investment horizon. JPMorgan Chase holds Efficiency (Sharpe) Ratio of 0.1, which attests that the entity had a 0.1% 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 0.1139, and Risk Adjusted Performance of 0.083 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 1.86, which attests to a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, JPMorgan Chase will likely underperform. Please check JPMorgan Chase's semi variance, and the relationship between the treynor ratio and daily balance of power , to make a quick decision on whether JPMorgan Chase's current trending patterns will revert.
Auto-correlation | 0.27 |
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 0.27 indicates that nearly 27.0% of current JPMorgan Chase price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.27 | |
| Spearman Rank Test | -0.48 | |
| Residual Average | 0.0 | |
| Price Variance | 8.7 |
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 |
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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 |
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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.