Multimanager Lifestyle Growth Fund Market Value
| JULGX Fund | USD 13.15 0.02 0.15% |
| Symbol | Multimanager |
Multimanager Lifestyle '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 Multimanager Lifestyle'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 Multimanager Lifestyle.
| 04/30/2022 |
| 04/19/2024 |
If you would invest 0.00 in Multimanager Lifestyle on April 30, 2022 and sell it all today you would earn a total of 0.00 from holding Multimanager Lifestyle Growth or generate 0.0% return on investment in Multimanager Lifestyle over 720 days. Multimanager Lifestyle is related to or competes with Multimanager Lifestyle, Jhancock Multi, Jhancock Multi, Alternative Asset, Jhancock Multi, John Hancock, and Multimanager Lifestyle. The fund invests approximately 20 percent of its assets in underlying funds that invest primarily in fixed-income securi... More
Multimanager Lifestyle 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 Multimanager Lifestyle'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 Multimanager Lifestyle Growth upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.648 | |||
| Information Ratio | (0.02) | |||
| Maximum Drawdown | 2.54 | |||
| Value At Risk | (0.97) | |||
| Potential Upside | 0.8889 |
Multimanager Lifestyle Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Multimanager Lifestyle's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Multimanager Lifestyle's standard deviation. In reality, there are many statistical measures that can use Multimanager Lifestyle historical prices to predict the future Multimanager Lifestyle's volatility.| Risk Adjusted Performance | 0.0612 | |||
| Jensen Alpha | (0) | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 0.0534 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Multimanager Lifestyle'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.
Multimanager Lifestyle Backtested Returns
We consider Multimanager Lifestyle very steady. Multimanager Lifestyle has Sharpe Ratio of 0.078, which conveys that the entity had a 0.078% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Multimanager Lifestyle, which you can use to evaluate the volatility of the fund. Please verify Multimanager Lifestyle's Mean Deviation of 0.4552, downside deviation of 0.648, and Risk Adjusted Performance of 0.0612 to check out if the risk estimate we provide is consistent with the expected return of 0.0444%. The fund secures a Beta (Market Risk) of 0.9, which conveys possible diversification benefits within a given portfolio. Multimanager Lifestyle returns are very sensitive to returns on the market. As the market goes up or down, Multimanager Lifestyle is expected to follow.
Auto-correlation | 0.50 |
Modest predictability
Multimanager Lifestyle Growth has modest predictability. Overlapping area represents the amount of predictability between Multimanager Lifestyle time series from 30th of April 2022 to 25th of April 2023 and 25th of April 2023 to 19th 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 Multimanager Lifestyle price movement. The serial correlation of 0.5 indicates that about 50.0% of current Multimanager Lifestyle price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.5 | |
| Spearman Rank Test | 0.18 | |
| Residual Average | 0.0 | |
| Price Variance | 0.44 |
Multimanager Lifestyle lagged returns against current returns
Autocorrelation, which is Multimanager Lifestyle 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 Multimanager Lifestyle's mutual fund expected returns. We can calculate the autocorrelation of Multimanager Lifestyle returns to help us make a trade decision. For example, suppose you find that Multimanager Lifestyle 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 |
Multimanager Lifestyle 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 Multimanager Lifestyle mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Multimanager Lifestyle mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Multimanager Lifestyle mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Multimanager Lifestyle Lagged Returns
When evaluating Multimanager Lifestyle's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Multimanager Lifestyle mutual fund have on its future price. Multimanager Lifestyle 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, Multimanager Lifestyle autocorrelation shows the relationship between Multimanager Lifestyle mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Multimanager Lifestyle Growth.
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 Multimanager Lifestyle 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, Multimanager Lifestyle's short interest history, or implied volatility extrapolated from Multimanager Lifestyle options trading.
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Try AI Portfolio ArchitectCheck out Multimanager Lifestyle Correlation, Multimanager Lifestyle Volatility and Multimanager Lifestyle Alpha and Beta module to complement your research on Multimanager Lifestyle. Note that the Multimanager Lifestyle information on this page should be used as a complementary analysis to other Multimanager Lifestyle'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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
Multimanager Lifestyle 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.