Jpmorgan Small Cap Fund Market Value
| VSENX Fund | USD 54.54 0.68 1.26% |
| Symbol | Jpmorgan |
Jpmorgan Small '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 Small's mutual fund 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 Small.
| 01/24/2024 |
| 04/23/2024 |
If you would invest 0.00 in Jpmorgan Small on January 24, 2024 and sell it all today you would earn a total of 0.00 from holding Jpmorgan Small Cap or generate 0.0% return on investment in Jpmorgan Small over 90 days. Jpmorgan Small is related to or competes with Jpmorgan Smartretirement, Jpmorgan Smartretirement, Jpmorgan Smartretirement, Jpmorgan Smartretirement, Jpmorgan Smartretirement, Jpmorgan Smartretirement, and Jpmorgan Smartretirement. Under normal circumstances, the fund invests at least 80 percent of its assets in equity securities of small cap compani... More
Jpmorgan Small 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 Small's mutual fund 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 Small Cap upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.1 | |||
| Information Ratio | (0.06) | |||
| Maximum Drawdown | 4.31 | |||
| Value At Risk | (1.66) | |||
| Potential Upside | 1.4 |
Jpmorgan Small Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Jpmorgan Small's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Jpmorgan Small's standard deviation. In reality, there are many statistical measures that can use Jpmorgan Small historical prices to predict the future Jpmorgan Small's volatility.| Risk Adjusted Performance | 0.0252 | |||
| Jensen Alpha | (0.09) | |||
| Total Risk Alpha | (0.10) | |||
| Sortino Ratio | (0.05) | |||
| Treynor Ratio | 0.0173 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Jpmorgan Small'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 Small Cap Backtested Returns
We consider Jpmorgan Small very steady. Jpmorgan Small Cap holds Efficiency (Sharpe) Ratio of 0.0213, which attests that the entity had a 0.0213% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Jpmorgan Small Cap, which you can use to evaluate the volatility of the entity. Please check out Jpmorgan Small's Downside Deviation of 1.1, market risk adjusted performance of 0.0273, and Risk Adjusted Performance of 0.0252 to validate if the risk estimate we provide is consistent with the expected return of 0.0206%. The fund retains a Market Volatility (i.e., Beta) of 1.38, 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 Small will likely underperform.
Auto-correlation | -0.61 |
Very good reverse predictability
Jpmorgan Small Cap has very good reverse predictability. Overlapping area represents the amount of predictability between Jpmorgan Small time series from 24th of January 2024 to 9th of March 2024 and 9th of March 2024 to 23rd of April 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 Small Cap price movement. The serial correlation of -0.61 indicates that roughly 61.0% of current Jpmorgan Small price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.61 | |
| Spearman Rank Test | -0.32 | |
| Residual Average | 0.0 | |
| Price Variance | 1.26 |
Jpmorgan Small Cap lagged returns against current returns
Autocorrelation, which is Jpmorgan Small mutual fund'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 Small's mutual fund expected returns. We can calculate the autocorrelation of Jpmorgan Small returns to help us make a trade decision. For example, suppose you find that Jpmorgan Small has exhibited high autocorrelation historically, and you observe that the mutual fund 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 Small 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 Small mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Jpmorgan Small mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Jpmorgan Small mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Jpmorgan Small Lagged Returns
When evaluating Jpmorgan Small's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Jpmorgan Small mutual fund have on its future price. Jpmorgan Small 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 Small autocorrelation shows the relationship between Jpmorgan Small mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Jpmorgan Small Cap.
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.Check out Jpmorgan Small Correlation, Jpmorgan Small Volatility and Jpmorgan Small Alpha and Beta module to complement your research on Jpmorgan Small. You can also try the Financial Widgets module to easily integrated Macroaxis content with over 30 different plug-and-play financial widgets.
Jpmorgan Small technical mutual fund 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, fund market cycles, or different charting patterns.