Putnam Small Cap Fund Market Value
| PSYGX Fund | USD 69.31 1.40 2.06% |
| Symbol | Putnam |
Putnam Small '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 Small'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 Small.
| 03/26/2024 |
| 04/25/2024 |
If you would invest 0.00 in Putnam Small on March 26, 2024 and sell it all today you would earn a total of 0.00 from holding Putnam Small Cap or generate 0.0% return on investment in Putnam Small over 30 days. Putnam Small is related to or competes with Fidelity Advisor, HUMANA, Morningstar Unconstrained, High Yield, Thrivent High, Via Renewables, and T Rowe. The fund invests mainly in common stocks of small U.S More
Putnam Small 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 Small'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 Small Cap upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.24 | |||
| Information Ratio | 0.0473 | |||
| Maximum Drawdown | 4.55 | |||
| Value At Risk | (1.74) | |||
| Potential Upside | 1.99 |
Putnam Small Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Putnam Small's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Putnam Small's standard deviation. In reality, there are many statistical measures that can use Putnam Small historical prices to predict the future Putnam Small's volatility.| Risk Adjusted Performance | 0.0829 | |||
| Jensen Alpha | 0.0119 | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | 0.0467 | |||
| Treynor Ratio | 0.0931 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Putnam Small'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 Small Cap Backtested Returns
We consider Putnam Small very steady. Putnam Small Cap maintains Sharpe Ratio (i.e., Efficiency) of 0.12, which implies the entity had a 0.12% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Putnam Small Cap, which you can use to evaluate the volatility of the fund. Please check Putnam Small's Semi Deviation of 1.13, coefficient of variation of 799.72, and Risk Adjusted Performance of 0.0829 to confirm if the risk estimate we provide is consistent with the expected return of 0.14%. The fund holds a Beta of 1.54, which implies a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Putnam Small will likely underperform.
Auto-correlation | 0.56 |
Modest predictability
Putnam Small Cap has modest predictability. Overlapping area represents the amount of predictability between Putnam Small 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 Putnam Small Cap price movement. The serial correlation of 0.56 indicates that roughly 56.0% of current Putnam Small price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.56 | |
| Spearman Rank Test | 0.6 | |
| Residual Average | 0.0 | |
| Price Variance | 1.48 |
Putnam Small Cap lagged returns against current returns
Autocorrelation, which is Putnam Small 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 Small's mutual fund expected returns. We can calculate the autocorrelation of Putnam Small returns to help us make a trade decision. For example, suppose you find that Putnam Small 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 Small 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 Small mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Putnam Small 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 Small mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Putnam Small Lagged Returns
When evaluating Putnam Small's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Putnam Small mutual fund have on its future price. Putnam Small 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 Small autocorrelation shows the relationship between Putnam Small mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Putnam Small Cap.
Regressed Prices |
| Timeline |
Becoming a Better Investor with Macroaxis
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Check out Putnam Small Correlation, Putnam Small Volatility and Putnam Small Alpha and Beta module to complement your research on Putnam Small. Note that the Putnam Small Cap information on this page should be used as a complementary analysis to other Putnam Small'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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
Putnam Small 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.