Jpmorgan California Tax Fund Market Value
JPICX Fund | USD 10.09 0.02 0.20% |
Symbol | Jpmorgan |
Jpmorgan California '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 California'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 California.
10/31/2024 |
| 11/30/2024 |
If you would invest 0.00 in Jpmorgan California on October 31, 2024 and sell it all today you would earn a total of 0.00 from holding Jpmorgan California Tax or generate 0.0% return on investment in Jpmorgan California over 30 days. Jpmorgan California is related to or competes with Jpmorgan Smartretirement, Jpmorgan Smartretirement, Jpmorgan Smartretirement, Jpmorgan Smartretirement, Jpmorgan Smartretirement, Jpmorgan Smartretirement, and Jpmorgan Smartretirement. The fund normally invests at least 80 percent of the value of its assets in municipal securities, the income from which ... More
Jpmorgan California 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 California'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 California Tax upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 0.3198 | |||
Information Ratio | (0.70) | |||
Maximum Drawdown | 1.1 | |||
Value At Risk | (0.30) | |||
Potential Upside | 0.1994 |
Jpmorgan California Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Jpmorgan California's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Jpmorgan California's standard deviation. In reality, there are many statistical measures that can use Jpmorgan California historical prices to predict the future Jpmorgan California's volatility.Risk Adjusted Performance | 0.0067 | |||
Jensen Alpha | 0.0067 | |||
Total Risk Alpha | (0.03) | |||
Sortino Ratio | (0.40) | |||
Treynor Ratio | 0.0136 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Jpmorgan California'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 California Tax Backtested Returns
At this stage we consider Jpmorgan Mutual Fund to be very steady. Jpmorgan California Tax holds Efficiency (Sharpe) Ratio of 0.0425, which attests that the entity had a 0.0425% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Jpmorgan California Tax, which you can use to evaluate the volatility of the entity. Please check out Jpmorgan California's Downside Deviation of 0.3198, risk adjusted performance of 0.0067, and Market Risk Adjusted Performance of 0.0236 to validate if the risk estimate we provide is consistent with the expected return of 0.0079%. The fund retains a Market Volatility (i.e., Beta) of -0.0586, which attests to not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Jpmorgan California are expected to decrease at a much lower rate. During the bear market, Jpmorgan California is likely to outperform the market.
Auto-correlation | 0.59 |
Modest predictability
Jpmorgan California Tax has modest predictability. Overlapping area represents the amount of predictability between Jpmorgan California time series from 31st of October 2024 to 15th of November 2024 and 15th of November 2024 to 30th 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 California Tax price movement. The serial correlation of 0.59 indicates that roughly 59.0% of current Jpmorgan California price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.59 | |
Spearman Rank Test | 0.75 | |
Residual Average | 0.0 | |
Price Variance | 0.0 |
Jpmorgan California Tax lagged returns against current returns
Autocorrelation, which is Jpmorgan California 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 California's mutual fund expected returns. We can calculate the autocorrelation of Jpmorgan California returns to help us make a trade decision. For example, suppose you find that Jpmorgan California 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 California 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 California mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Jpmorgan California 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 California mutual fund over time.
Current vs Lagged Prices |
Timeline |
Jpmorgan California Lagged Returns
When evaluating Jpmorgan California's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Jpmorgan California mutual fund have on its future price. Jpmorgan California 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 California autocorrelation shows the relationship between Jpmorgan California mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Jpmorgan California Tax.
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.Other Information on Investing in Jpmorgan Mutual Fund
Jpmorgan California financial ratios help investors to determine whether Jpmorgan Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Jpmorgan with respect to the benefits of owning Jpmorgan California security.
Bonds Directory Find actively traded corporate debentures issued by US companies | |
Portfolio Diagnostics Use generated alerts and portfolio events aggregator to diagnose current holdings | |
Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges |