Calvert Aggressive Allocation Fund Market Value
| CAGIX Fund | USD 25.13 0.02 0.08% |
| Symbol | Calvert |
Calvert Aggressive '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 Calvert Aggressive'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 Calvert Aggressive.
| 01/26/2024 |
| 04/25/2024 |
If you would invest 0.00 in Calvert Aggressive on January 26, 2024 and sell it all today you would earn a total of 0.00 from holding Calvert Aggressive Allocation or generate 0.0% return on investment in Calvert Aggressive over 90 days. Calvert Aggressive is related to or competes with Fidelity Asset, Fidelity Advisor, Morningstar Unconstrained, High Yield, Thrivent High, Via Renewables, and Bondbloxx ETF. The fund is a fund of funds that seeks to achieve its investment objective by primarily allocating its assets among unde... More
Calvert Aggressive 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 Calvert Aggressive'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 Calvert Aggressive Allocation upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.6682 | |||
| Information Ratio | (0.06) | |||
| Maximum Drawdown | 2.85 | |||
| Value At Risk | (1.14) | |||
| Potential Upside | 1.02 |
Calvert Aggressive Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Calvert Aggressive's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Calvert Aggressive's standard deviation. In reality, there are many statistical measures that can use Calvert Aggressive historical prices to predict the future Calvert Aggressive's volatility.| Risk Adjusted Performance | 0.0596 | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.04) | |||
| Sortino Ratio | (0.05) | |||
| Treynor Ratio | 0.0523 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Calvert Aggressive'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.
Calvert Aggressive Backtested Returns
We consider Calvert Aggressive very steady. Calvert Aggressive secures Sharpe Ratio (or Efficiency) of 0.0782, which signifies that the fund had a 0.0782% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Calvert Aggressive Allocation, which you can use to evaluate the volatility of the entity. Please confirm Calvert Aggressive's Mean Deviation of 0.4818, downside deviation of 0.6682, and Risk Adjusted Performance of 0.0596 to double-check if the risk estimate we provide is consistent with the expected return of 0.0503%. The fund shows a Beta (market volatility) of 0.95, which signifies possible diversification benefits within a given portfolio. Calvert Aggressive returns are very sensitive to returns on the market. As the market goes up or down, Calvert Aggressive is expected to follow.
Auto-correlation | -0.7 |
Very good reverse predictability
Calvert Aggressive Allocation has very good reverse predictability. Overlapping area represents the amount of predictability between Calvert Aggressive time series from 26th of January 2024 to 11th of March 2024 and 11th of March 2024 to 25th 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 Calvert Aggressive price movement. The serial correlation of -0.7 indicates that around 70.0% of current Calvert Aggressive price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.7 | |
| Spearman Rank Test | -0.48 | |
| Residual Average | 0.0 | |
| Price Variance | 0.15 |
Calvert Aggressive lagged returns against current returns
Autocorrelation, which is Calvert Aggressive 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 Calvert Aggressive's mutual fund expected returns. We can calculate the autocorrelation of Calvert Aggressive returns to help us make a trade decision. For example, suppose you find that Calvert Aggressive 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 |
Calvert Aggressive 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 Calvert Aggressive mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Calvert Aggressive mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Calvert Aggressive mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Calvert Aggressive Lagged Returns
When evaluating Calvert Aggressive's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Calvert Aggressive mutual fund have on its future price. Calvert Aggressive 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, Calvert Aggressive autocorrelation shows the relationship between Calvert Aggressive mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Calvert Aggressive Allocation.
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 Calvert Aggressive 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, Calvert Aggressive's short interest history, or implied volatility extrapolated from Calvert Aggressive options trading.
Pair Trading with Calvert Aggressive
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Calvert Aggressive position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Calvert Aggressive will appreciate offsetting losses from the drop in the long position's value.Moving together with Calvert Mutual Fund
| 0.98 | CDHIX | Calvert Developed Market | PairCorr |
| 0.98 | CDHAX | Calvert Developed Market | PairCorr |
| 0.66 | CDICX | Calvert Short Duration | PairCorr |
| 0.98 | CDHRX | Calvert International | PairCorr |
| 0.75 | CDSRX | Calvert Short Duration | PairCorr |
The ability to find closely correlated positions to Calvert Aggressive could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Calvert Aggressive when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Calvert Aggressive - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Calvert Aggressive Allocation to buy it.
The correlation of Calvert Aggressive is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Calvert Aggressive moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Calvert Aggressive moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Calvert Aggressive can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Calvert Aggressive Correlation, Calvert Aggressive Volatility and Calvert Aggressive Alpha and Beta module to complement your research on Calvert Aggressive. You can also try the Fundamental Analysis module to view fundamental data based on most recent published financial statements.
Calvert Aggressive 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.