George Putnam Fund Market Value
| PGEYX Fund | USD 23.97 0.03 0.13% |
| Symbol | George |
George Putnam '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 George Putnam'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 George Putnam.
| 03/26/2024 |
| 04/25/2024 |
If you would invest 0.00 in George Putnam on March 26, 2024 and sell it all today you would earn a total of 0.00 from holding George Putnam Fund or generate 0.0% return on investment in George Putnam over 30 days. George Putnam is related to or competes with Fidelity Strategic, HUMANA, Morningstar Unconstrained, High Yield, Thrivent High, Via Renewables, and Bondbloxx ETF. The fund invests mainly in a combination of bonds and common stocks of large U.S More
George Putnam 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 George Putnam'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 George Putnam Fund upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.5282 | |||
| Information Ratio | (0.07) | |||
| Maximum Drawdown | 2.52 | |||
| Value At Risk | (0.82) | |||
| Potential Upside | 0.8674 |
George Putnam Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for George Putnam's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as George Putnam's standard deviation. In reality, there are many statistical measures that can use George Putnam historical prices to predict the future George Putnam's volatility.| Risk Adjusted Performance | 0.064 | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | (0.07) | |||
| Treynor Ratio | 0.0632 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of George Putnam'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.
George Putnam Backtested Returns
We consider George Putnam very steady. George Putnam holds Efficiency (Sharpe) Ratio of 0.0788, which attests that the entity had a 0.0788% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for George Putnam, which you can use to evaluate the volatility of the entity. Please check out George Putnam's Market Risk Adjusted Performance of 0.0732, downside deviation of 0.5282, and Risk Adjusted Performance of 0.064 to validate if the risk estimate we provide is consistent with the expected return of 0.0431%. The fund retains a Market Volatility (i.e., Beta) of 0.73, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, George Putnam's returns are expected to increase less than the market. However, during the bear market, the loss of holding George Putnam is expected to be smaller as well.
Auto-correlation | 0.64 |
Good predictability
George Putnam Fund has good predictability. Overlapping area represents the amount of predictability between George Putnam time series from 26th of March 2024 to 10th of April 2024 and 10th of April 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 George Putnam price movement. The serial correlation of 0.64 indicates that roughly 64.0% of current George Putnam price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.64 | |
| Spearman Rank Test | 0.28 | |
| Residual Average | 0.0 | |
| Price Variance | 0.05 |
George Putnam lagged returns against current returns
Autocorrelation, which is George Putnam 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 George Putnam's mutual fund expected returns. We can calculate the autocorrelation of George Putnam returns to help us make a trade decision. For example, suppose you find that George Putnam 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 |
George Putnam 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 George Putnam mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if George Putnam mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in George Putnam mutual fund over time.
Current vs Lagged Prices |
| Timeline |
George Putnam Lagged Returns
When evaluating George Putnam's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of George Putnam mutual fund have on its future price. George Putnam 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, George Putnam autocorrelation shows the relationship between George Putnam mutual fund current value and its past values and can show if there is a momentum factor associated with investing in George Putnam Fund.
Regressed Prices |
| Timeline |
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Check out George Putnam Correlation, George Putnam Volatility and George Putnam Alpha and Beta module to complement your research on George Putnam. You can also try the Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
George Putnam 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.