Putnam High Mutual Fund Forecast - Simple Exponential Smoothing

PHAYX Fund  USD 5.87  0.01  0.17%   
The Simple Exponential Smoothing forecasted value of Putnam High Yield on the next trading day is expected to be 5.87 with a mean absolute deviation of 0.01 and the sum of the absolute errors of 0.30. Putnam Mutual Fund Forecast is based on your current time horizon.
  
Putnam High simple exponential smoothing forecast is a very popular model used to produce a smoothed price series. Whereas in simple Moving Average models the past observations for Putnam High Yield are weighted equally, Exponential Smoothing assigns exponentially decreasing weights as Putnam High Yield prices get older.

Putnam High Simple Exponential Smoothing Price Forecast For the 16th of December 2024

Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Putnam High Yield on the next trading day is expected to be 5.87 with a mean absolute deviation of 0.01, mean absolute percentage error of 0.000057, and the sum of the absolute errors of 0.30.
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 High's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Putnam High Mutual Fund Forecast Pattern

Backtest Putnam HighPutnam High Price PredictionBuy or Sell Advice 

Putnam High Forecasted Value

In the context of forecasting Putnam High'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 High's downside and upside margins for the forecasting period are 5.74 and 6.00, 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.
Market Value
5.87
5.87
Expected Value
6.00
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Putnam High mutual fund data series using in forecasting. Note that when a statistical model is used to represent Putnam High 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 Criteria106.4943
BiasArithmetic mean of the errors -7.0E-4
MADMean absolute deviation0.005
MAPEMean absolute percentage error9.0E-4
SAESum of the absolute errors0.3
This simple exponential smoothing model begins by setting Putnam High Yield forecast for the second period equal to the observation of the first period. In other words, recent Putnam High observations are given relatively more weight in forecasting than the older observations.

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 Yield. 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.
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.
Hype
Prediction
LowEstimatedHigh
5.745.876.00
Details
Intrinsic
Valuation
LowRealHigh
5.275.406.46
Details

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 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 High's price trends.

Putnam High 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 High mutual fund to make a market-neutral strategy. Peer analysis of Putnam High could also be used in its relative valuation, which is a method of valuing Putnam High by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Putnam High Yield 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 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.

Putnam High Market Strength Events

Market strength indicators help investors to evaluate how Putnam High 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 High shares will generate the highest return on investment. By undertsting and applying Putnam High mutual fund market strength indicators, traders can identify Putnam High Yield 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 mutual 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.
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.

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 High 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 High security.
Portfolio File Import
Quickly import all of your third-party portfolios from your local drive in csv format
Piotroski F Score
Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals
Equity Valuation
Check real value of public entities based on technical and fundamental data
Portfolio Backtesting
Avoid under-diversification and over-optimization by backtesting your portfolios