Target 2030 Fund Market Value
| TWRRX Fund | USD 13.73 0.02 0.15% |
| Symbol | Target |
Target 2030 '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 Target 2030'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 Target 2030.
| 06/28/2022 |
| 04/18/2024 |
If you would invest 0.00 in Target 2030 on June 28, 2022 and sell it all today you would earn a total of 0.00 from holding Target 2030 Fund or generate 0.0% return on investment in Target 2030 over 660 days. Target 2030 is related to or competes with American Funds, Fidelity Freedom, T Rowe, HUMANA, Barloworld, Thrivent High, and Morningstar Unconstrained. The fund pursues its objective by investing in a diversified portfolio of other T More
Target 2030 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 Target 2030'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 Target 2030 Fund upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.4614 | |||
| Information Ratio | (0.05) | |||
| Maximum Drawdown | 1.77 | |||
| Value At Risk | (0.67) | |||
| Potential Upside | 0.6475 |
Target 2030 Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Target 2030's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Target 2030's standard deviation. In reality, there are many statistical measures that can use Target 2030 historical prices to predict the future Target 2030's volatility.| Risk Adjusted Performance | 0.045 | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | (0.05) | |||
| Treynor Ratio | 0.0364 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Target 2030'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.
Target 2030 Fund Backtested Returns
We consider Target 2030 very steady. Target 2030 Fund owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0978, which indicates the fund had a 0.0978% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Target 2030 Fund, which you can use to evaluate the volatility of the fund. Please validate Target 2030's Risk Adjusted Performance of 0.045, coefficient of variation of 1260.65, and Semi Deviation of 0.3875 to confirm if the risk estimate we provide is consistent with the expected return of 0.0394%. The entity has a beta of 0.64, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Target 2030's returns are expected to increase less than the market. However, during the bear market, the loss of holding Target 2030 is expected to be smaller as well.
Auto-correlation | 0.62 |
Good predictability
Target 2030 Fund has good predictability. Overlapping area represents the amount of predictability between Target 2030 time series from 28th of June 2022 to 24th of May 2023 and 24th of May 2023 to 18th 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 Target 2030 Fund price movement. The serial correlation of 0.62 indicates that roughly 62.0% of current Target 2030 price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.62 | |
| Spearman Rank Test | 0.4 | |
| Residual Average | 0.0 | |
| Price Variance | 0.31 |
Target 2030 Fund lagged returns against current returns
Autocorrelation, which is Target 2030 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 Target 2030's mutual fund expected returns. We can calculate the autocorrelation of Target 2030 returns to help us make a trade decision. For example, suppose you find that Target 2030 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 |
Target 2030 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 Target 2030 mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Target 2030 mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Target 2030 mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Target 2030 Lagged Returns
When evaluating Target 2030's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Target 2030 mutual fund have on its future price. Target 2030 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, Target 2030 autocorrelation shows the relationship between Target 2030 mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Target 2030 Fund.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Check out Target 2030 Correlation, Target 2030 Volatility and Target 2030 Alpha and Beta module to complement your research on Target 2030. You can also try the Latest Portfolios module to quick portfolio dashboard that showcases your latest portfolios.
Target 2030 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.