Putnam Multicap Core Fund Market Value
| PMYCX Fund | USD 35.81 0.31 0.87% |
| Symbol | Putnam |
Putnam Multicap '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 Multicap'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 Multicap.
| 06/28/2023 |
| 04/23/2024 |
If you would invest 0.00 in Putnam Multicap on June 28, 2023 and sell it all today you would earn a total of 0.00 from holding Putnam Multicap Core or generate 0.0% return on investment in Putnam Multicap over 300 days. Putnam Multicap is related to or competes with Putnam Equity, Putnam Tax, Putnam Floating, Putnam High, Putnam Floating, Putnam Floating, and Putnam Floating. The fund invests mainly in common stocks of U.S More
Putnam Multicap 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 Multicap'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 Multicap Core upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.7032 | |||
| Information Ratio | 0.0146 | |||
| Maximum Drawdown | 3.28 | |||
| Value At Risk | (1.26) | |||
| Potential Upside | 1.14 |
Putnam Multicap Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Putnam Multicap's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Putnam Multicap's standard deviation. In reality, there are many statistical measures that can use Putnam Multicap historical prices to predict the future Putnam Multicap's volatility.| Risk Adjusted Performance | 0.083 | |||
| Jensen Alpha | 0.0097 | |||
| Total Risk Alpha | (0) | |||
| Sortino Ratio | 0.015 | |||
| Treynor Ratio | 0.085 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Putnam Multicap'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 Multicap Core Backtested Returns
We consider Putnam Multicap very steady. Putnam Multicap Core maintains Sharpe Ratio (i.e., Efficiency) of 0.0959, which implies the entity had a 0.0959% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Putnam Multicap Core, which you can use to evaluate the volatility of the fund. Please check Putnam Multicap's Coefficient Of Variation of 751.22, semi deviation of 0.5688, and Risk Adjusted Performance of 0.083 to confirm if the risk estimate we provide is consistent with the expected return of 0.0698%. The fund holds a Beta of 1.01, which implies a somewhat significant risk relative to the market. Putnam Multicap returns are very sensitive to returns on the market. As the market goes up or down, Putnam Multicap is expected to follow.
Auto-correlation | -0.58 |
Good reverse predictability
Putnam Multicap Core has good reverse predictability. Overlapping area represents the amount of predictability between Putnam Multicap time series from 28th of June 2023 to 25th of November 2023 and 25th of November 2023 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 Putnam Multicap Core price movement. The serial correlation of -0.58 indicates that roughly 58.0% of current Putnam Multicap price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.58 | |
| Spearman Rank Test | -0.42 | |
| Residual Average | 0.0 | |
| Price Variance | 2.54 |
Putnam Multicap Core lagged returns against current returns
Autocorrelation, which is Putnam Multicap 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 Multicap's mutual fund expected returns. We can calculate the autocorrelation of Putnam Multicap returns to help us make a trade decision. For example, suppose you find that Putnam Multicap 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 Multicap 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 Multicap mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Putnam Multicap 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 Multicap mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Putnam Multicap Lagged Returns
When evaluating Putnam Multicap's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Putnam Multicap mutual fund have on its future price. Putnam Multicap 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 Multicap autocorrelation shows the relationship between Putnam Multicap mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Putnam Multicap Core.
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 Putnam Multicap 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, Putnam Multicap's short interest history, or implied volatility extrapolated from Putnam Multicap options trading.
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Check out Putnam Multicap Correlation, Putnam Multicap Volatility and Putnam Multicap Alpha and Beta module to complement your research on Putnam Multicap. Note that the Putnam Multicap Core information on this page should be used as a complementary analysis to other Putnam Multicap'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 AI Investment Finder module to use AI to screen and filter profitable investment opportunities.
Putnam Multicap 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.