Harris Oakmark Etf Forecast - Simple Regression
| OAKM Etf | 28.62 0.13 0.46% |
The Simple Regression forecasted value of Harris Oakmark ETF on the next trading day is expected to be 28.11 with a mean absolute deviation of 0.46 and the sum of the absolute errors of 28.35. Harris Etf Forecast is based on your current time horizon.
Harris Oakmark Simple Regression Price Forecast For the 26th of December
Given 90 days horizon, the Simple Regression forecasted value of Harris Oakmark ETF on the next trading day is expected to be 28.11 with a mean absolute deviation of 0.46, mean absolute percentage error of 0.30, and the sum of the absolute errors of 28.35.Please note that although there have been many attempts to predict Harris 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 Harris Oakmark's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Harris Oakmark Etf Forecast Pattern
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Harris Oakmark Forecasted Value
In the context of forecasting Harris Oakmark'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. Harris Oakmark's downside and upside margins for the forecasting period are 27.22 and 28.99, respectively. We have considered Harris Oakmark'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.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of Harris Oakmark etf data series using in forecasting. Note that when a statistical model is used to represent Harris Oakmark 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 | 116.8899 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.4648 |
| MAPE | Mean absolute percentage error | 0.0173 |
| SAE | Sum of the absolute errors | 28.3516 |
Predictive Modules for Harris Oakmark
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Harris Oakmark ETF. 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.Other Forecasting Options for Harris Oakmark
For every potential investor in Harris, whether a beginner or expert, Harris Oakmark's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Harris Etf price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Harris. Basic forecasting techniques help filter out the noise by identifying Harris Oakmark's price trends.Harris Oakmark 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 Harris Oakmark etf to make a market-neutral strategy. Peer analysis of Harris Oakmark could also be used in its relative valuation, which is a method of valuing Harris Oakmark by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Harris Oakmark ETF 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 Harris Oakmark'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 Harris Oakmark's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Harris Oakmark Market Strength Events
Market strength indicators help investors to evaluate how Harris Oakmark etf reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Harris Oakmark shares will generate the highest return on investment. By undertsting and applying Harris Oakmark etf market strength indicators, traders can identify Harris Oakmark ETF entry and exit signals to maximize returns.
Harris Oakmark Risk Indicators
The analysis of Harris Oakmark'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 Harris Oakmark's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting harris 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 | 0.664 | |||
| Semi Deviation | 0.7743 | |||
| Standard Deviation | 0.8751 | |||
| Variance | 0.7659 | |||
| Downside Variance | 0.8394 | |||
| Semi Variance | 0.5996 | |||
| Expected Short fall | (0.69) |
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.
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The market value of Harris Oakmark ETF is measured differently than its book value, which is the value of Harris that is recorded on the company's balance sheet. Investors also form their own opinion of Harris Oakmark's value that differs from its market value or its book value, called intrinsic value, which is Harris Oakmark'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 Harris Oakmark's market value can be influenced by many factors that don't directly affect Harris Oakmark'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 Harris Oakmark's value and its price as these two are different measures arrived at by different means. Investors typically determine if Harris Oakmark is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Harris Oakmark'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.