Putnam Dynamic Asset Fund Market Value
| AABCX Fund | USD 15.56 0.04 0.26% |
| Symbol | Putnam |
Putnam Dynamic '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 Putnam Dynamic'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 Putnam Dynamic.
| 01/28/2025 |
| 02/27/2025 |
If you would invest 0.00 in Putnam Dynamic on January 28, 2025 and sell it all today you would earn a total of 0.00 from holding Putnam Dynamic Asset or generate 0.0% return on investment in Putnam Dynamic over 30 days. Putnam Dynamic is related to or competes with Goldman Sachs, Gmo High, Pioneer High, Access Flex, Aqr Alternative, Pace High, and Intal High. The fund allocates 45 percent to 75 percent of its assets in equities and 25 percent to 55 percent in fixed income secur... More
Putnam Dynamic 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 Putnam Dynamic'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 Putnam Dynamic Asset upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.08) | |||
| Maximum Drawdown | 10.96 | |||
| Value At Risk | (0.85) | |||
| Potential Upside | 0.7232 |
Putnam Dynamic Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Putnam Dynamic's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Putnam Dynamic's standard deviation. In reality, there are many statistical measures that can use Putnam Dynamic historical prices to predict the future Putnam Dynamic's volatility.| Risk Adjusted Performance | (0.05) | |||
| Jensen Alpha | (0.11) | |||
| Total Risk Alpha | (0.1) | |||
| Treynor Ratio | (0.28) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Putnam Dynamic'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.
Putnam Dynamic Asset Backtested Returns
Putnam Dynamic Asset maintains Sharpe Ratio (i.e., Efficiency) of -0.0983, which implies the entity had a -0.0983 % return per unit of risk over the last 3 months. Putnam Dynamic Asset exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Putnam Dynamic's Coefficient Of Variation of (1,373), risk adjusted performance of (0.05), and Variance of 1.88 to confirm the risk estimate we provide. The fund holds a Beta of 0.39, which implies possible diversification benefits within a given portfolio. As returns on the market increase, Putnam Dynamic's returns are expected to increase less than the market. However, during the bear market, the loss of holding Putnam Dynamic is expected to be smaller as well.
Auto-correlation | -0.71 |
Almost perfect reverse predictability
Putnam Dynamic Asset has almost perfect reverse predictability. Overlapping area represents the amount of predictability between Putnam Dynamic time series from 28th of January 2025 to 12th of February 2025 and 12th of February 2025 to 27th of February 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Putnam Dynamic Asset price movement. The serial correlation of -0.71 indicates that around 71.0% of current Putnam Dynamic price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.71 | |
| Spearman Rank Test | 0.09 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
Putnam Dynamic Asset lagged returns against current returns
Autocorrelation, which is Putnam Dynamic 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 Putnam Dynamic's mutual fund expected returns. We can calculate the autocorrelation of Putnam Dynamic returns to help us make a trade decision. For example, suppose you find that Putnam Dynamic 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 |
Putnam Dynamic 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 Putnam Dynamic mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Putnam Dynamic mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Putnam Dynamic mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Putnam Dynamic Lagged Returns
When evaluating Putnam Dynamic's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Putnam Dynamic mutual fund have on its future price. Putnam Dynamic 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, Putnam Dynamic autocorrelation shows the relationship between Putnam Dynamic mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Putnam Dynamic Asset.
Regressed Prices |
| Timeline |
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.Other Information on Investing in Putnam Mutual Fund
Putnam Dynamic financial ratios help investors to determine whether Putnam Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Putnam with respect to the benefits of owning Putnam Dynamic security.
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