PFES Etf Forecast - Naive Prediction
| PFES Etf | USD 51.93 0.00 0.00% |
The Naive Prediction forecasted value of PFES on the next trading day is expected to be 50.36 with a mean absolute deviation of 1.26 and the sum of the absolute errors of 77.11. PFES Etf Forecast is based on your current time horizon.
PFES |
PFES Naive Prediction Price Forecast For the 12th of December 2024
Given 90 days horizon, the Naive Prediction forecasted value of PFES on the next trading day is expected to be 50.36 with a mean absolute deviation of 1.26, mean absolute percentage error of 3.01, and the sum of the absolute errors of 77.11.Please note that although there have been many attempts to predict PFES 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 PFES's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
PFES Etf Forecast Pattern
| Backtest PFES | PFES Price Prediction | Buy or Sell Advice |
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of PFES etf data series using in forecasting. Note that when a statistical model is used to represent PFES 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.| AIC | Akaike Information Criteria | 119.2126 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 1.2642 |
| MAPE | Mean absolute percentage error | 0.0235 |
| SAE | Sum of the absolute errors | 77.1146 |
Predictive Modules for PFES
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as PFES. 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 PFES'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.
PFES 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 PFES etf to make a market-neutral strategy. Peer analysis of PFES could also be used in its relative valuation, which is a method of valuing PFES by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
PFES Market Strength Events
Market strength indicators help investors to evaluate how PFES etf reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading PFES shares will generate the highest return on investment. By undertsting and applying PFES etf market strength indicators, traders can identify PFES entry and exit signals to maximize returns.
PFES Risk Indicators
The analysis of PFES'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 PFES's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting pfes 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.
| Mean Deviation | 1.89 | |||
| Semi Deviation | 3.06 | |||
| Standard Deviation | 2.89 | |||
| Variance | 8.35 | |||
| Downside Variance | 11.77 | |||
| Semi Variance | 9.38 | |||
| Expected Short fall | (1.89) |
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
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Check out Your Equity Center to better understand how to build diversified portfolios. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in income. You can also try the Portfolio Comparator module to compare the composition, asset allocations and performance of any two portfolios in your account.
The market value of PFES is measured differently than its book value, which is the value of PFES that is recorded on the company's balance sheet. Investors also form their own opinion of PFES's value that differs from its market value or its book value, called intrinsic value, which is PFES'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 PFES's market value can be influenced by many factors that don't directly affect PFES'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 PFES's value and its price as these two are different measures arrived at by different means. Investors typically determine if PFES is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, PFES'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.