Putnam Research Fund Market Value
| PNRAX Fund | USD 58.23 0.34 0.59% |
| Symbol | Putnam |
Putnam Research '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 Research'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 Research.
| 10/30/2024 |
| 11/29/2024 |
If you would invest 0.00 in Putnam Research on October 30, 2024 and sell it all today you would earn a total of 0.00 from holding Putnam Research Fund or generate 0.0% return on investment in Putnam Research over 30 days. Putnam Research is related to or competes with Morningstar Unconstrained, Thrivent High, Via Renewables, Bayview Acquisition, T Rowe, Coca Cola, and Sitka Gold. The fund invests mainly in common stocks of large U.S More
Putnam Research 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 Research'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 Research Fund upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.8318 | |||
| Information Ratio | (0.02) | |||
| Maximum Drawdown | 3.83 | |||
| Value At Risk | (1.36) | |||
| Potential Upside | 1.12 |
Putnam Research Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Putnam Research's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Putnam Research's standard deviation. In reality, there are many statistical measures that can use Putnam Research historical prices to predict the future Putnam Research's volatility.| Risk Adjusted Performance | 0.1096 | |||
| Jensen Alpha | 0.0053 | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 0.1217 |
Putnam Research Backtested Returns
At this stage we consider Putnam Mutual Fund to be very steady. Putnam Research maintains Sharpe Ratio (i.e., Efficiency) of 0.2, which implies the entity had a 0.2% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Putnam Research, which you can use to evaluate the volatility of the fund. Please check Putnam Research's Risk Adjusted Performance of 0.1096, semi deviation of 0.6666, and Coefficient Of Variation of 700.03 to confirm if the risk estimate we provide is consistent with the expected return of 0.14%. The fund holds a Beta of 0.83, which implies possible diversification benefits within a given portfolio. As returns on the market increase, Putnam Research's returns are expected to increase less than the market. However, during the bear market, the loss of holding Putnam Research is expected to be smaller as well.
Auto-correlation | 0.89 |
Very good predictability
Putnam Research Fund has very good predictability. Overlapping area represents the amount of predictability between Putnam Research time series from 30th of October 2024 to 14th of November 2024 and 14th of November 2024 to 29th of November 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 Research price movement. The serial correlation of 0.89 indicates that approximately 89.0% of current Putnam Research price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.89 | |
| Spearman Rank Test | 0.82 | |
| Residual Average | 0.0 | |
| Price Variance | 0.25 |
Putnam Research lagged returns against current returns
Autocorrelation, which is Putnam Research 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 Research's mutual fund expected returns. We can calculate the autocorrelation of Putnam Research returns to help us make a trade decision. For example, suppose you find that Putnam Research 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 Research 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 Research mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Putnam Research 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 Research mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Putnam Research Lagged Returns
When evaluating Putnam Research's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Putnam Research mutual fund have on its future price. Putnam Research 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 Research autocorrelation shows the relationship between Putnam Research mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Putnam Research Fund.
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 Research 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 Research security.
| Positions Ratings Determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
| FinTech Suite Use AI to screen and filter profitable investment opportunities | |
| Options Analysis Analyze and evaluate options and option chains as a potential hedge for your portfolios | |
| Cryptocurrency Center Build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency |