Jpmorgan Large Cap Fund Market Value
| JLGZX Fund | USD 61.82 1.20 1.90% |
| Symbol | Jpmorgan |
Jpmorgan Large '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 Large'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 Large.
| 04/27/2022 |
| 04/16/2024 |
If you would invest 0.00 in Jpmorgan Large on April 27, 2022 and sell it all today you would earn a total of 0.00 from holding Jpmorgan Large Cap or generate 0.0% return on investment in Jpmorgan Large over 720 days. Jpmorgan Large is related to or competes with Jpmorgan Value, Jpmorgan Equity, and Jpmorgan. Under normal circumstances, at least 80 percent of the funds assets will be invested in the equity securities of large, ... More
Jpmorgan Large 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 Large'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 Large Cap upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.9032 | |||
| Information Ratio | 0.1435 | |||
| Maximum Drawdown | 5.27 | |||
| Value At Risk | (1.48) | |||
| Potential Upside | 1.93 |
Jpmorgan Large Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Jpmorgan Large's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Jpmorgan Large's standard deviation. In reality, there are many statistical measures that can use Jpmorgan Large historical prices to predict the future Jpmorgan Large's volatility.| Risk Adjusted Performance | 0.13 | |||
| Jensen Alpha | 0.2138 | |||
| Total Risk Alpha | 0.118 | |||
| Sortino Ratio | 0.1746 | |||
| Treynor Ratio | (3.30) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Jpmorgan Large'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 Large Cap Backtested Returns
We consider Jpmorgan Large very steady. Jpmorgan Large Cap holds Efficiency (Sharpe) Ratio of 0.16, which attests that the entity had a 0.16% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Jpmorgan Large Cap, which you can use to evaluate the volatility of the entity. Please check out Jpmorgan Large's Risk Adjusted Performance of 0.13, market risk adjusted performance of (3.29), and Downside Deviation of 0.9032 to validate if the risk estimate we provide is consistent with the expected return of 0.19%. The fund retains a Market Volatility (i.e., Beta) of -0.0637, which attests to not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Jpmorgan Large are expected to decrease at a much lower rate. During the bear market, Jpmorgan Large is likely to outperform the market.
Auto-correlation | 0.20 |
Weak predictability
Jpmorgan Large Cap has weak predictability. Overlapping area represents the amount of predictability between Jpmorgan Large time series from 27th of April 2022 to 22nd of April 2023 and 22nd of April 2023 to 16th 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 Large Cap price movement. The serial correlation of 0.2 indicates that over 20.0% of current Jpmorgan Large price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.2 | |
| Spearman Rank Test | 0.05 | |
| Residual Average | 0.0 | |
| Price Variance | 31.81 |
Jpmorgan Large Cap lagged returns against current returns
Autocorrelation, which is Jpmorgan Large 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 Large's mutual fund expected returns. We can calculate the autocorrelation of Jpmorgan Large returns to help us make a trade decision. For example, suppose you find that Jpmorgan Large 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 Large 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 Large mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Jpmorgan Large 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 Large mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Jpmorgan Large Lagged Returns
When evaluating Jpmorgan Large's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Jpmorgan Large mutual fund have on its future price. Jpmorgan Large 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 Large autocorrelation shows the relationship between Jpmorgan Large mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Jpmorgan Large Cap.
Regressed Prices |
| Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Jpmorgan Large in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Jpmorgan Large's short interest history, or implied volatility extrapolated from Jpmorgan Large options trading.
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Try AI Portfolio ArchitectCheck out Jpmorgan Large Correlation, Jpmorgan Large Volatility and Jpmorgan Large Alpha and Beta module to complement your research on Jpmorgan Large. Note that the Jpmorgan Large Cap information on this page should be used as a complementary analysis to other Jpmorgan Large's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Transaction History module to view history of all your transactions and understand their impact on performance.
Jpmorgan Large 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.