Putnam International Mutual Fund Forecast - 4 Period Moving Average

PGNBX Fund  USD 14.78  0.00  0.00%   
The 4 Period Moving Average forecasted value of Putnam International Value on the next trading day is expected to be 14.78 with a mean absolute deviation of 0.00 and the sum of the absolute errors of 0.00. Putnam Mutual Fund Forecast is based on your current time horizon.
  
A four-period moving average forecast model for Putnam International Value is based on an artificially constructed daily price series in which the value for a given day is replaced by the mean of that value and the values for four preceding and succeeding time periods. This model is best suited to forecast equities with high volatility.

Putnam International 4 Period Moving Average Price Forecast For the 13th of December 2024

Given 90 days horizon, the 4 Period Moving Average forecasted value of Putnam International Value on the next trading day is expected to be 14.78 with a mean absolute deviation of 0.00, mean absolute percentage error of 0.00, and the sum of the absolute errors of 0.00.
Please note that although there have been many attempts to predict Putnam Mutual 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 International's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Putnam International Mutual Fund Forecast Pattern

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Putnam International Forecasted Value

In the context of forecasting Putnam International's Mutual 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 International's downside and upside margins for the forecasting period are 14.78 and 14.78, respectively. We have considered Putnam International'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.
Market Value
14.78
14.78
Expected Value
14.78
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 4 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Putnam International mutual fund data series using in forecasting. Note that when a statistical model is used to represent Putnam International mutual 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.
AICAkaike Information Criteria-9.223372036854776E14
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0
MAPEMean absolute percentage error0.0
SAESum of the absolute errors0.0
The four period moving average method has an advantage over other forecasting models in that it does smooth out peaks and troughs in a set of daily price observations of Putnam International. However, it also has several disadvantages. In particular this model does not produce an actual prediction equation for Putnam International Value and therefore, it cannot be a useful forecasting tool for medium or long range price predictions

Predictive Modules for Putnam International

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 International. Regardless of method or technology, however, to accurately forecast the mutual fund market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the mutual 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.
Hype
Prediction
LowEstimatedHigh
14.7814.7814.78
Details
Intrinsic
Valuation
LowRealHigh
14.7814.7814.78
Details
Bollinger
Band Projection (param)
LowMiddleHigh
14.7814.7814.78
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Putnam International. Your research has to be compared to or analyzed against Putnam International's peers to derive any actionable benefits. When done correctly, Putnam International's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Putnam International.

Other Forecasting Options for Putnam International

For every potential investor in Putnam, whether a beginner or expert, Putnam International's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Putnam Mutual 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 International's price trends.

Putnam International Related Equities

One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Putnam International mutual fund to make a market-neutral strategy. Peer analysis of Putnam International could also be used in its relative valuation, which is a method of valuing Putnam International by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Putnam International Technical and Predictive Analytics

The mutual 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 International'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 International's current price.

Putnam International Market Strength Events

Market strength indicators help investors to evaluate how Putnam International mutual 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 International shares will generate the highest return on investment. By undertsting and applying Putnam International mutual fund market strength indicators, traders can identify Putnam International Value entry and exit signals to maximize returns.

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 International 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 International security.
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