Putnam Sustainable Etf Forecast - Polynomial Regression

PFUT Etf  USD 26.45  0.33  1.26%   
The Polynomial Regression forecasted value of Putnam Sustainable Future on the next trading day is expected to be 26.27 with a mean absolute deviation of 0.26 and the sum of the absolute errors of 16.08. Putnam Etf Forecast is based on your current time horizon.
  
Putnam Sustainable polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Putnam Sustainable Future as well as the accuracy indicators are determined from the period prices.

Putnam Sustainable Polynomial Regression Price Forecast For the 25th of November

Given 90 days horizon, the Polynomial Regression forecasted value of Putnam Sustainable Future on the next trading day is expected to be 26.27 with a mean absolute deviation of 0.26, mean absolute percentage error of 0.11, and the sum of the absolute errors of 16.08.
Please note that although there have been many attempts to predict Putnam Etf 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 Sustainable's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Putnam Sustainable Etf Forecast Pattern

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Putnam Sustainable Forecasted Value

In the context of forecasting Putnam Sustainable's Etf 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 Sustainable's downside and upside margins for the forecasting period are 25.38 and 27.17, respectively. We have considered Putnam Sustainable'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
26.45
26.27
Expected Value
27.17
Upside

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 Sustainable etf data series using in forecasting. Note that when a statistical model is used to represent Putnam Sustainable etf, 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 Criteria115.8811
BiasArithmetic mean of the errors None
MADMean absolute deviation0.2636
MAPEMean absolute percentage error0.0105
SAESum of the absolute errors16.0778
A single variable polynomial regression model attempts to put a curve through the Putnam Sustainable historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm

Predictive Modules for Putnam Sustainable

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 Sustainable Future. Regardless of method or technology, however, to accurately forecast the etf market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the etf 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 Sustainable'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
25.5226.4127.30
Details
Intrinsic
Valuation
LowRealHigh
25.1726.0626.95
Details
Bollinger
Band Projection (param)
LowMiddleHigh
26.0326.3426.65
Details

Other Forecasting Options for Putnam Sustainable

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

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

Putnam Sustainable Future Technical and Predictive Analytics

The etf market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Putnam Sustainable'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 Sustainable's current price.

Putnam Sustainable Market Strength Events

Market strength indicators help investors to evaluate how Putnam Sustainable etf reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Putnam Sustainable shares will generate the highest return on investment. By undertsting and applying Putnam Sustainable etf market strength indicators, traders can identify Putnam Sustainable Future entry and exit signals to maximize returns.

Putnam Sustainable Risk Indicators

The analysis of Putnam Sustainable'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 Sustainable's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting putnam etf 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.

Thematic Opportunities

Explore Investment Opportunities

Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
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When determining whether Putnam Sustainable Future is a good investment, qualitative aspects like company management, corporate governance, and ethical practices play a significant role. A comparison with peer companies also provides context and helps to understand if Putnam Etf is undervalued or overvalued. This multi-faceted approach, blending both quantitative and qualitative analysis, forms a solid foundation for making an informed investment decision about Putnam Sustainable Future Etf. Highlighted below are key reports to facilitate an investment decision about Putnam Sustainable Future Etf:
Check out Historical Fundamental Analysis of Putnam Sustainable to cross-verify your projections.
You can also try the CEOs Directory module to screen CEOs from public companies around the world.
The market value of Putnam Sustainable Future is measured differently than its book value, which is the value of Putnam that is recorded on the company's balance sheet. Investors also form their own opinion of Putnam Sustainable's value that differs from its market value or its book value, called intrinsic value, which is Putnam Sustainable's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Putnam Sustainable's market value can be influenced by many factors that don't directly affect Putnam Sustainable's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Putnam Sustainable's value and its price as these two are different measures arrived at by different means. Investors typically determine if Putnam Sustainable is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Putnam Sustainable's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.