Jpmorgan Mortgage Backed Securities Fund Market Value
| OBBCX Fund | USD 10.14 0.04 0.39% |
| Symbol | Jpmorgan |
Jpmorgan Mortgage-backed '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 Mortgage-backed'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 Mortgage-backed.
| 12/03/2023 |
| 11/27/2024 |
If you would invest 0.00 in Jpmorgan Mortgage-backed on December 3, 2023 and sell it all today you would earn a total of 0.00 from holding Jpmorgan Mortgage Backed Securities or generate 0.0% return on investment in Jpmorgan Mortgage-backed over 360 days. Jpmorgan Mortgage-backed is related to or competes with Multimanager Lifestyle, Needham Aggressive, California High-yield, Ab High, Vanguard High-yield, Artisan High, and Strategic Allocation:. The investment seeks to maximize total return by investing primarily in a diversified portfolio of debt securities backe... More
Jpmorgan Mortgage-backed 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 Mortgage-backed'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 Mortgage Backed Securities upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.50) | |||
| Maximum Drawdown | 1.29 | |||
| Value At Risk | (0.49) | |||
| Potential Upside | 0.3972 |
Jpmorgan Mortgage-backed Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Jpmorgan Mortgage-backed's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Jpmorgan Mortgage-backed's standard deviation. In reality, there are many statistical measures that can use Jpmorgan Mortgage-backed historical prices to predict the future Jpmorgan Mortgage-backed's volatility.| Risk Adjusted Performance | (0.07) | |||
| Jensen Alpha | (0.04) | |||
| Total Risk Alpha | (0.08) | |||
| Treynor Ratio | (0.47) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Jpmorgan Mortgage-backed'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 Mortgage-backed Backtested Returns
Jpmorgan Mortgage-backed holds Efficiency (Sharpe) Ratio of -0.0738, which attests that the entity had a -0.0738% return per unit of risk over the last 3 months. Jpmorgan Mortgage-backed exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Jpmorgan Mortgage-backed's Market Risk Adjusted Performance of (0.46), standard deviation of 0.3047, and Risk Adjusted Performance of (0.07) to validate the risk estimate we provide. The fund retains a Market Volatility (i.e., Beta) of 0.0696, which attests to not very significant fluctuations relative to the market. As returns on the market increase, Jpmorgan Mortgage-backed's returns are expected to increase less than the market. However, during the bear market, the loss of holding Jpmorgan Mortgage-backed is expected to be smaller as well.
Auto-correlation | -0.03 |
Very weak reverse predictability
Jpmorgan Mortgage Backed Securities has very weak reverse predictability. Overlapping area represents the amount of predictability between Jpmorgan Mortgage-backed time series from 3rd of December 2023 to 31st of May 2024 and 31st of May 2024 to 27th 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 Mortgage-backed price movement. The serial correlation of -0.03 indicates that only 3.0% of current Jpmorgan Mortgage-backed price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.03 | |
| Spearman Rank Test | -0.06 | |
| Residual Average | 0.0 | |
| Price Variance | 0.03 |
Jpmorgan Mortgage-backed lagged returns against current returns
Autocorrelation, which is Jpmorgan Mortgage-backed 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 Mortgage-backed's mutual fund expected returns. We can calculate the autocorrelation of Jpmorgan Mortgage-backed returns to help us make a trade decision. For example, suppose you find that Jpmorgan Mortgage-backed 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 Mortgage-backed 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 Mortgage-backed mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Jpmorgan Mortgage-backed 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 Mortgage-backed mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Jpmorgan Mortgage-backed Lagged Returns
When evaluating Jpmorgan Mortgage-backed's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Jpmorgan Mortgage-backed mutual fund have on its future price. Jpmorgan Mortgage-backed 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 Mortgage-backed autocorrelation shows the relationship between Jpmorgan Mortgage-backed mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Jpmorgan Mortgage Backed Securities.
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 Mortgage-backed 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 Mortgage-backed security.
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