Dynamic Allocation Fund Market Value
| VDAFX Fund | USD 9.55 0.05 0.53% |
| Symbol | Dynamic |
Dynamic Allocation '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 Dynamic Allocation'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 Dynamic Allocation.
| 03/24/2024 |
| 04/23/2024 |
If you would invest 0.00 in Dynamic Allocation on March 24, 2024 and sell it all today you would earn a total of 0.00 from holding Dynamic Allocation Fund or generate 0.0% return on investment in Dynamic Allocation over 30 days. Dynamic Allocation is related to or competes with Mid Cap, Mid Cap, Valic Company, Valic Company, Stock Index, Small Cap, and Broad Cap. The fund seeks to achieve its objectives by investing under normal conditions approximately 70 percent to 90 percent of its assets in shares of the underlying funds, which are portfolios of VALIC Company I and 10 percent to 30 percent of its assets in a portfolio of derivative instruments, fixed income securities and short-term investments. More
Dynamic Allocation 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 Dynamic Allocation'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 Dynamic Allocation Fund upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.59 | |||
| Information Ratio | (0.07) | |||
| Maximum Drawdown | 2.69 | |||
| Value At Risk | (0.92) | |||
| Potential Upside | 0.8484 |
Dynamic Allocation Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Dynamic Allocation's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Dynamic Allocation's standard deviation. In reality, there are many statistical measures that can use Dynamic Allocation historical prices to predict the future Dynamic Allocation's volatility.| Risk Adjusted Performance | 0.0511 | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | (0.07) | |||
| Treynor Ratio | 0.0447 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Dynamic Allocation'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.
Dynamic Allocation Backtested Returns
We consider Dynamic Allocation very steady. Dynamic Allocation secures Sharpe Ratio (or Efficiency) of 0.0581, which denotes the fund had a 0.0581% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Dynamic Allocation Fund, which you can use to evaluate the volatility of the entity. Please confirm Dynamic Allocation's Coefficient Of Variation of 1169.43, downside deviation of 0.59, and Mean Deviation of 0.4204 to check if the risk estimate we provide is consistent with the expected return of 0.0322%. The fund shows a Beta (market volatility) of 0.82, which means possible diversification benefits within a given portfolio. As returns on the market increase, Dynamic Allocation's returns are expected to increase less than the market. However, during the bear market, the loss of holding Dynamic Allocation is expected to be smaller as well.
Auto-correlation | 0.67 |
Good predictability
Dynamic Allocation Fund has good predictability. Overlapping area represents the amount of predictability between Dynamic Allocation time series from 24th of March 2024 to 8th of April 2024 and 8th of April 2024 to 23rd 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 Dynamic Allocation price movement. The serial correlation of 0.67 indicates that around 67.0% of current Dynamic Allocation price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.67 | |
| Spearman Rank Test | 0.78 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
Dynamic Allocation lagged returns against current returns
Autocorrelation, which is Dynamic Allocation 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 Dynamic Allocation's mutual fund expected returns. We can calculate the autocorrelation of Dynamic Allocation returns to help us make a trade decision. For example, suppose you find that Dynamic Allocation 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 |
Dynamic Allocation 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 Dynamic Allocation mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Dynamic Allocation mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Dynamic Allocation mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Dynamic Allocation Lagged Returns
When evaluating Dynamic Allocation's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Dynamic Allocation mutual fund have on its future price. Dynamic Allocation 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, Dynamic Allocation autocorrelation shows the relationship between Dynamic Allocation mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Dynamic Allocation Fund.
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 Dynamic Allocation 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, Dynamic Allocation's short interest history, or implied volatility extrapolated from Dynamic Allocation options trading.
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Check out Dynamic Allocation Correlation, Dynamic Allocation Volatility and Dynamic Allocation Alpha and Beta module to complement your research on Dynamic Allocation. Note that the Dynamic Allocation information on this page should be used as a complementary analysis to other Dynamic Allocation'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 Portfolio Holdings module to check your current holdings and cash postion to detemine if your portfolio needs rebalancing.
Dynamic Allocation 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.