Multi Index 2030 Lifetime Fund Market Value
JRTIX Fund | USD 11.66 0.02 0.17% |
Symbol | Multi |
Multi Index '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 Multi Index'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 Multi Index.
11/25/2022 |
| 03/19/2024 |
If you would invest 0.00 in Multi Index on November 25, 2022 and sell it all today you would earn a total of 0.00 from holding Multi Index 2030 Lifetime or generate 0.0% return on investment in Multi Index over 480 days. Multi Index is related to or competes with State Farm, Regional Bank, Regional Bank, Multimanager Lifestyle, Multimanager Lifestyle, Multimanager Lifestyle, and Multimanager Lifestyle. The fund invests substantially all of its assets in underlying funds using an asset allocation strategy designed for inv... More
Multi Index 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 Multi Index'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 Multi Index 2030 Lifetime upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 0.5149 | |||
Information Ratio | (0.09) | |||
Maximum Drawdown | 2.86 | |||
Value At Risk | (0.70) | |||
Potential Upside | 0.9641 |
Multi Index Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Multi Index's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Multi Index's standard deviation. In reality, there are many statistical measures that can use Multi Index historical prices to predict the future Multi Index's volatility.Risk Adjusted Performance | 0.1112 | |||
Jensen Alpha | (0.02) | |||
Total Risk Alpha | (0.03) | |||
Sortino Ratio | (0.09) | |||
Treynor Ratio | 0.1073 |
Sophisticated investors, who have witnessed many market ups and downs, frequently view the market will even out over time. This tendency of Multi Index'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. Please use the tools below to analyze the current value of Multi Index in the context of predictive analytics.
Multi-index 2030 Lifetime Backtested Returns
We consider Multi Index very steady. Multi-index 2030 Lifetime has Sharpe Ratio of 0.14, which conveys that the entity had 0.14% return per unit of risk over the last 3 months. Our standpoint towards estimating the volatility of a fund is to use all available market data together with fund-specific technical indicators that cannot be diversified away. We have found twenty-eight technical indicators for Multi Index, which you can use to evaluate the future volatility of the fund. Please verify Multi Index's Mean Deviation of 0.4152, risk adjusted performance of 0.1112, and Downside Deviation of 0.5149 to check out if the risk estimate we provide is consistent with the expected return of 0.0672%. The fund secures a Beta (Market Risk) of 0.79, which conveys possible diversification benefits within a given portfolio. As returns on the market increase, Multi Index returns are expected to increase less than the market. However, during the bear market, the loss on holding Multi Index will be expected to be smaller as well. By analyzing Multi-index 2030 Lifetime technical indicators, you can presently evaluate if the expected return of 0.0672% will be sustainable into the future.
Auto-correlation | 0.59 |
Modest predictability
Multi Index 2030 Lifetime has modest predictability. Overlapping area represents the amount of predictability between Multi Index time series from 25th of November 2022 to 23rd of July 2023 and 23rd of July 2023 to 19th of March 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 Multi-index 2030 Lifetime price movement. The serial correlation of 0.59 indicates that roughly 59.0% of current Multi Index price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.59 | |
Spearman Rank Test | 0.44 | |
Residual Average | 0.0 | |
Price Variance | 0.22 |
Multi-index 2030 Lifetime lagged returns against current returns
Autocorrelation, which is Multi Index 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 Multi Index's mutual fund expected returns. We can calculate the autocorrelation of Multi Index returns to help us make a trade decision. For example, suppose you find that Multi Index mutual fund has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the stock movement to match the lagging time series.
Current and Lagged Values |
Timeline |
Multi Index 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 Multi Index mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Multi Index mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Multi Index mutual fund over time.
Current vs Lagged Prices |
Timeline |
Multi Index Lagged Returns
When evaluating Multi Index's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Multi Index mutual fund have on its future price. Multi Index 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, Multi Index autocorrelation shows the relationship between Multi Index mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Multi Index 2030 Lifetime.
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 Multi Index 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, Multi Index's short interest history, or implied volatility extrapolated from Multi Index options trading.
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Try AI Portfolio ArchitectCheck out Multi Index Correlation, Multi Index Volatility and Multi Index Alpha and Beta module to complement your research on Multi Index. You can also try the Funds Screener module to find actively-traded funds from around the world traded on over 30 global exchanges.
Complementary Tools for Multi Mutual Fund analysis
When running Multi Index's price analysis, check to measure Multi Index's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Multi Index is operating at the current time. Most of Multi Index's value examination focuses on studying past and present price action to predict the probability of Multi Index's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Multi Index's price. Additionally, you may evaluate how the addition of Multi Index to your portfolios can decrease your overall portfolio volatility.
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