PAK Etf Forecast - Polynomial Regression
| PAK Etf | USD 13.36 0.06 0.45% |
The Polynomial Regression forecasted value of PAK on the next trading day is expected to be 13.88 with a mean absolute deviation of 0.28 and the sum of the absolute errors of 17.07. PAK Etf Forecast is based on your current time horizon.
PAK |
PAK Polynomial Regression Price Forecast For the 3rd of December
Given 90 days horizon, the Polynomial Regression forecasted value of PAK on the next trading day is expected to be 13.88 with a mean absolute deviation of 0.28, mean absolute percentage error of 0.15, and the sum of the absolute errors of 17.07.Please note that although there have been many attempts to predict PAK 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 PAK's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
PAK Etf Forecast Pattern
| Backtest PAK | PAK Price Prediction | Buy or Sell Advice |
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 PAK etf data series using in forecasting. Note that when a statistical model is used to represent PAK 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 | 116.1922 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.2799 |
| MAPE | Mean absolute percentage error | 0.0217 |
| SAE | Sum of the absolute errors | 17.074 |
Predictive Modules for PAK
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as PAK. 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.PAK 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 PAK etf to make a market-neutral strategy. Peer analysis of PAK could also be used in its relative valuation, which is a method of valuing PAK by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
PAK Market Strength Events
Market strength indicators help investors to evaluate how PAK etf reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading PAK shares will generate the highest return on investment. By undertsting and applying PAK etf market strength indicators, traders can identify PAK entry and exit signals to maximize returns.
PAK Risk Indicators
The analysis of PAK'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 PAK's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting pak 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 | 1.15 | |||
| Semi Deviation | 1.27 | |||
| Standard Deviation | 1.94 | |||
| Variance | 3.76 | |||
| Downside Variance | 2.09 | |||
| Semi Variance | 1.62 | |||
| Expected Short fall | (1.33) |
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.
Building efficient market-beating portfolios requires time, education, and a lot of computing power!
The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.
Try AI Portfolio ArchitectCheck 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 nation. You can also try the Global Correlations module to find global opportunities by holding instruments from different markets.
The market value of PAK is measured differently than its book value, which is the value of PAK that is recorded on the company's balance sheet. Investors also form their own opinion of PAK's value that differs from its market value or its book value, called intrinsic value, which is PAK'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 PAK's market value can be influenced by many factors that don't directly affect PAK'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 PAK's value and its price as these two are different measures arrived at by different means. Investors typically determine if PAK is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, PAK'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.