Putnam Short Duration Fund Market Value
| PSDTX Fund | USD 10.08 0.00 0.00% |
| Symbol | Putnam |
Putnam Short '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 Short'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 Short.
| 03/25/2024 |
| 04/24/2024 |
If you would invest 0.00 in Putnam Short on March 25, 2024 and sell it all today you would earn a total of 0.00 from holding Putnam Short Duration or generate 0.0% return on investment in Putnam Short over 30 days. Putnam Short is related to or competes with Putnam Equity, Putnam Floating, Putnam High, Putnam Floating, Putnam Floating, Putnam Floating, and Putnam Massachusetts. The fund invests in a diversified portfolio of fixed income securities comprised of short duration, investment-grade mon... More
Putnam Short 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 Short'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 Short Duration upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.70) | |||
| Maximum Drawdown | 0.602 | |||
| Potential Upside | 0.1001 |
Putnam Short Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Putnam Short's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Putnam Short's standard deviation. In reality, there are many statistical measures that can use Putnam Short historical prices to predict the future Putnam Short's volatility.| Risk Adjusted Performance | 0.0594 | |||
| Jensen Alpha | 0.0073 | |||
| Total Risk Alpha | (0) | |||
| Treynor Ratio | 0.7192 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Putnam Short'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 Short Duration Backtested Returns
We consider Putnam Short very steady. Putnam Short Duration maintains Sharpe Ratio (i.e., Efficiency) of 0.18, which implies the entity had a 0.18% return per unit of risk over the last 3 months. We have found eighteen technical indicators for Putnam Short Duration, which you can use to evaluate the volatility of the fund. Please check Putnam Short's Coefficient Of Variation of 561.36, variance of 0.0104, and Risk Adjusted Performance of 0.0594 to confirm if the risk estimate we provide is consistent with the expected return of 0.0194%. The fund holds a Beta of 0.0114, which implies not very significant fluctuations relative to the market. As returns on the market increase, Putnam Short's returns are expected to increase less than the market. However, during the bear market, the loss of holding Putnam Short is expected to be smaller as well.
Auto-correlation | -0.67 |
Very good reverse predictability
Putnam Short Duration has very good reverse predictability. Overlapping area represents the amount of predictability between Putnam Short time series from 25th of March 2024 to 9th of April 2024 and 9th of April 2024 to 24th 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 Putnam Short Duration price movement. The serial correlation of -0.67 indicates that around 67.0% of current Putnam Short price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.67 | |
| Spearman Rank Test | 0.5 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Putnam Short Duration lagged returns against current returns
Autocorrelation, which is Putnam Short 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 Short's mutual fund expected returns. We can calculate the autocorrelation of Putnam Short returns to help us make a trade decision. For example, suppose you find that Putnam Short 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 Short 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 Short mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Putnam Short 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 Short mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Putnam Short Lagged Returns
When evaluating Putnam Short's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Putnam Short mutual fund have on its future price. Putnam Short 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 Short autocorrelation shows the relationship between Putnam Short mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Putnam Short Duration.
Regressed Prices |
| Timeline |
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Check out Putnam Short Correlation, Putnam Short Volatility and Putnam Short Alpha and Beta module to complement your research on Putnam Short. You can also try the Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
Putnam Short 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.