Jpmorgan Floating Rate Fund Market Value
| JPHSX Fund | USD 8.57 0.01 0.12% |
| Symbol | Jpmorgan |
Jpmorgan Floating '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 Floating'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 Floating.
| 04/21/2024 |
| 05/21/2024 |
If you would invest 0.00 in Jpmorgan Floating on April 21, 2024 and sell it all today you would earn a total of 0.00 from holding Jpmorgan Floating Rate or generate 0.0% return on investment in Jpmorgan Floating over 30 days. Jpmorgan Floating is related to or competes with Fidelity High, Fidelity New, Fidelity Capital, and Fidelity Total. The fund invests mainly in floating rate debt instruments issued by corporations More
Jpmorgan Floating 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 Floating'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 Floating Rate upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.2395 | |||
| Information Ratio | (0.31) | |||
| Maximum Drawdown | 1.29 | |||
| Value At Risk | (0.12) | |||
| Potential Upside | 0.119 |
Jpmorgan Floating Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Jpmorgan Floating's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Jpmorgan Floating's standard deviation. In reality, there are many statistical measures that can use Jpmorgan Floating historical prices to predict the future Jpmorgan Floating's volatility.| Risk Adjusted Performance | 0.1197 | |||
| Jensen Alpha | 0.0271 | |||
| Total Risk Alpha | 0.0098 | |||
| Sortino Ratio | (0.18) | |||
| Treynor Ratio | (1.37) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Jpmorgan Floating'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 Floating Rate Backtested Returns
We consider Jpmorgan Floating very steady. Jpmorgan Floating Rate holds Efficiency (Sharpe) Ratio of 0.23, which attests that the entity had a 0.23% return per unit of risk over the last 3 months. We have found twenty-six technical indicators for Jpmorgan Floating Rate, which you can use to evaluate the volatility of the entity. Please check out Jpmorgan Floating's Risk Adjusted Performance of 0.1197, coefficient of variation of 376.83, and Market Risk Adjusted Performance of (1.36) to validate if the risk estimate we provide is consistent with the expected return of 0.0319%. The fund retains a Market Volatility (i.e., Beta) of -0.0188, which attests to not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Jpmorgan Floating are expected to decrease at a much lower rate. During the bear market, Jpmorgan Floating is likely to outperform the market.
Auto-correlation | 0.15 |
Insignificant predictability
Jpmorgan Floating Rate has insignificant predictability. Overlapping area represents the amount of predictability between Jpmorgan Floating time series from 21st of April 2024 to 6th of May 2024 and 6th of May 2024 to 21st of May 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 Floating Rate price movement. The serial correlation of 0.15 indicates that less than 15.0% of current Jpmorgan Floating price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.15 | |
| Spearman Rank Test | 0.43 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Jpmorgan Floating Rate lagged returns against current returns
Autocorrelation, which is Jpmorgan Floating 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 Floating's mutual fund expected returns. We can calculate the autocorrelation of Jpmorgan Floating returns to help us make a trade decision. For example, suppose you find that Jpmorgan Floating 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 Floating 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 Floating mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Jpmorgan Floating 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 Floating mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Jpmorgan Floating Lagged Returns
When evaluating Jpmorgan Floating's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Jpmorgan Floating mutual fund have on its future price. Jpmorgan Floating 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 Floating autocorrelation shows the relationship between Jpmorgan Floating mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Jpmorgan Floating Rate.
Regressed Prices |
| Timeline |
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Jpmorgan Floating 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.