Multi Index 2020 Lifetime Fund Market Value
JRLPX Fund | USD 10.48 0.01 0.1% |
Symbol | Multi-index |
Multi-index 2020 '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 2020'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 2020.
02/18/2024 |
| 03/19/2024 |
If you would invest 0.00 in Multi-index 2020 on February 18, 2024 and sell it all today you would earn a total of 0.00 from holding Multi Index 2020 Lifetime or generate 0.0% return on investment in Multi-index 2020 over 30 days. Multi-index 2020 is related to or competes with State Farm, Regional Bank, Regional Bank, Multimanager Lifestyle, Multimanager Lifestyle, Multimanager Lifestyle, and Multimanager Lifestyle. Under normal market conditions, the fund invests substantially all of its assets in underlying funds using an asset allo... More
Multi-index 2020 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 2020'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 2020 Lifetime upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 0.4442 | |||
Information Ratio | (0.16) | |||
Maximum Drawdown | 2.66 | |||
Value At Risk | (0.57) | |||
Potential Upside | 0.6863 |
Multi-index 2020 Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Multi-index 2020's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Multi-index 2020's standard deviation. In reality, there are many statistical measures that can use Multi-index 2020 historical prices to predict the future Multi-index 2020's volatility.Risk Adjusted Performance | 0.1011 | |||
Jensen Alpha | 0.0646 | |||
Total Risk Alpha | (0.03) | |||
Sortino Ratio | (0.16) | |||
Treynor Ratio | (7.84) |
Sophisticated investors, who have witnessed many market ups and downs, frequently view the market will even out over time. This tendency of Multi-index 2020'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 2020 in the context of predictive analytics.
Multi-index 2020 Lifetime Backtested Returns
We consider Multi-index 2020 very steady. Multi-index 2020 Lifetime has Sharpe Ratio of 0.1, which conveys that the entity had 0.1% 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-seven technical indicators for Multi-index 2020, which you can use to evaluate the future volatility of the fund. Please verify Multi-index 2020's Mean Deviation of 0.3316, risk adjusted performance of 0.1011, and Downside Deviation of 0.4442 to check out if the risk estimate we provide is consistent with the expected return of 0.041%. The fund secures a Beta (Market Risk) of -0.0081, which conveys not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Multi-index 2020 are expected to decrease at a much lower rate. During the bear market, Multi-index 2020 is likely to outperform the market. By analyzing Multi-index 2020 Lifetime technical indicators, you can presently evaluate if the expected return of 0.041% will be sustainable into the future.
Auto-correlation | 0.26 |
Poor predictability
Multi Index 2020 Lifetime has poor predictability. Overlapping area represents the amount of predictability between Multi-index 2020 time series from 18th of February 2024 to 4th of March 2024 and 4th of March 2024 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 2020 Lifetime price movement. The serial correlation of 0.26 indicates that nearly 26.0% of current Multi-index 2020 price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.26 | |
Spearman Rank Test | 0.33 | |
Residual Average | 0.0 | |
Price Variance | 0.0 |
Multi-index 2020 Lifetime lagged returns against current returns
Autocorrelation, which is Multi-index 2020 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 2020's mutual fund expected returns. We can calculate the autocorrelation of Multi-index 2020 returns to help us make a trade decision. For example, suppose you find that Multi-index 2020 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 2020 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 2020 mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Multi-index 2020 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 2020 mutual fund over time.
Current vs Lagged Prices |
Timeline |
Multi-index 2020 Lagged Returns
When evaluating Multi-index 2020's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Multi-index 2020 mutual fund have on its future price. Multi-index 2020 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 2020 autocorrelation shows the relationship between Multi-index 2020 mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Multi Index 2020 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 2020 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 2020's short interest history, or implied volatility extrapolated from Multi-index 2020 options trading.
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Complementary Tools for Multi-index Mutual Fund analysis
When running Multi-index 2020's price analysis, check to measure Multi-index 2020'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 2020 is operating at the current time. Most of Multi-index 2020's value examination focuses on studying past and present price action to predict the probability of Multi-index 2020'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 2020's price. Additionally, you may evaluate how the addition of Multi-index 2020 to your portfolios can decrease your overall portfolio volatility.
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Multi-index 2020 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.