Putnam High Fund Forecast - Polynomial Regression
| PCF Fund | USD 6.72 0.01 0.15% |
The Polynomial Regression forecasted value of Putnam High Income on the next trading day is expected to be 6.75 with a mean absolute deviation of 0.03 and the sum of the absolute errors of 1.96. Putnam Fund Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Putnam High's historical fundamentals, such as revenue growth or operating cash flow patterns.
Putnam |
Putnam High Polynomial Regression Price Forecast For the 27th of November
Given 90 days horizon, the Polynomial Regression forecasted value of Putnam High Income on the next trading day is expected to be 6.75 with a mean absolute deviation of 0.03, mean absolute percentage error of 0, and the sum of the absolute errors of 1.96.Please note that although there have been many attempts to predict Putnam Fund prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Putnam High's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Putnam High Fund Forecast Pattern
| Backtest Putnam High | Putnam High Price Prediction | Buy or Sell Advice |
Putnam High Forecasted Value
In the context of forecasting Putnam High's Fund value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Putnam High's downside and upside margins for the forecasting period are 6.25 and 7.26, respectively. We have considered Putnam High's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Putnam High fund data series using in forecasting. Note that when a statistical model is used to represent Putnam High fund, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.| AIC | Akaike Information Criteria | 111.6484 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0321 |
| MAPE | Mean absolute percentage error | 0.0048 |
| SAE | Sum of the absolute errors | 1.9591 |
Predictive Modules for Putnam High
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Putnam High Income. Regardless of method or technology, however, to accurately forecast the fund market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the fund market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Putnam High'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.
Other Forecasting Options for Putnam High
For every potential investor in Putnam, whether a beginner or expert, Putnam High's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Putnam Fund price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Putnam. Basic forecasting techniques help filter out the noise by identifying Putnam High's price trends.View Putnam High Related Equities
| Risk & Return | Correlation |
Putnam High Income Technical and Predictive Analytics
The fund market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Putnam High's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Putnam High's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Putnam High Market Strength Events
Market strength indicators help investors to evaluate how Putnam High fund reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Putnam High shares will generate the highest return on investment. By undertsting and applying Putnam High fund market strength indicators, traders can identify Putnam High Income entry and exit signals to maximize returns.
Putnam High Risk Indicators
The analysis of Putnam High's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Putnam High's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting putnam fund prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
| Mean Deviation | 0.3837 | |||
| Semi Deviation | 0.3616 | |||
| Standard Deviation | 0.5018 | |||
| Variance | 0.2518 | |||
| Downside Variance | 0.2219 | |||
| Semi Variance | 0.1307 | |||
| Expected Short fall | (0.47) |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
Currently Active Assets on Macroaxis
Other Information on Investing in Putnam Fund
Putnam High financial ratios help investors to determine whether Putnam 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 High security.
| Portfolio Analyzer Portfolio analysis module that provides access to portfolio diagnostics and optimization engine | |
| Portfolio Manager State of the art Portfolio Manager to monitor and improve performance of your invested capital | |
| Portfolio Suggestion Get suggestions outside of your existing asset allocation including your own model portfolios |