Putnam Vertible Securities Fund Market Value
| PCGYX Fund | USD 27.31 0.06 0.22% |
| Symbol | Putnam |
Putnam Vertible '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 Vertible'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 Vertible.
| 04/28/2025 |
| 07/27/2025 |
If you would invest 0.00 in Putnam Vertible on April 28, 2025 and sell it all today you would earn a total of 0.00 from holding Putnam Vertible Securities or generate 0.0% return on investment in Putnam Vertible over 90 days. Putnam Vertible is related to or competes with Deutsche Multi, Voya Target, Moderately Aggressive, and Multimanager Lifestyle. The fund invests mainly in convertible securities of U.S More
Putnam Vertible 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 Vertible'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 Vertible Securities upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.4634 | |||
| Information Ratio | (0.13) | |||
| Maximum Drawdown | 3.17 | |||
| Value At Risk | (0.56) | |||
| Potential Upside | 0.8891 |
Putnam Vertible Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Putnam Vertible's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Putnam Vertible's standard deviation. In reality, there are many statistical measures that can use Putnam Vertible historical prices to predict the future Putnam Vertible's volatility.| Risk Adjusted Performance | 0.2099 | |||
| Jensen Alpha | 0.1416 | |||
| Total Risk Alpha | 3.0E-4 | |||
| Sortino Ratio | (0.14) | |||
| Treynor Ratio | (3.20) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Putnam Vertible'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 Vertible Secu Backtested Returns
At this stage we consider Putnam Mutual Fund to be very steady. Putnam Vertible Secu maintains Sharpe Ratio (i.e., Efficiency) of 0.28, which implies the entity had a 0.28 % return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Putnam Vertible Secu, which you can use to evaluate the volatility of the fund. Please check Putnam Vertible's Semi Deviation of 0.1388, risk adjusted performance of 0.2099, and Coefficient Of Variation of 360.99 to confirm if the risk estimate we provide is consistent with the expected return of 0.14%. The fund holds a Beta of -0.0417, which implies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Putnam Vertible are expected to decrease at a much lower rate. During the bear market, Putnam Vertible is likely to outperform the market.
Auto-correlation | 0.84 |
Very good predictability
Putnam Vertible Securities has very good predictability. Overlapping area represents the amount of predictability between Putnam Vertible time series from 28th of April 2025 to 12th of June 2025 and 12th of June 2025 to 27th of July 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 Vertible Secu price movement. The serial correlation of 0.84 indicates that around 84.0% of current Putnam Vertible price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.84 | |
| Spearman Rank Test | 0.71 | |
| Residual Average | 0.0 | |
| Price Variance | 0.16 |
Putnam Vertible Secu lagged returns against current returns
Autocorrelation, which is Putnam Vertible 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 Vertible's mutual fund expected returns. We can calculate the autocorrelation of Putnam Vertible returns to help us make a trade decision. For example, suppose you find that Putnam Vertible 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 Vertible 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 Vertible mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Putnam Vertible 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 Vertible mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Putnam Vertible Lagged Returns
When evaluating Putnam Vertible's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Putnam Vertible mutual fund have on its future price. Putnam Vertible 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 Vertible autocorrelation shows the relationship between Putnam Vertible mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Putnam Vertible Securities.
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 Vertible 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 Vertible security.
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