Imperial Oil Stock Forecast - Simple Regression
| IMO Stock | CAD 103.69 0.17 0.16% |
The Simple Regression forecasted value of Imperial Oil on the next trading day is expected to be 108.03 with a mean absolute deviation of 3.36 and the sum of the absolute errors of 208.12. Imperial Stock Forecast is based on your current time horizon. Although Imperial Oil's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Imperial Oil's systematic risk associated with finding meaningful patterns of Imperial Oil fundamentals over time.
Imperial |
Imperial Oil Simple Regression Price Forecast For the 1st of December
Given 90 days horizon, the Simple Regression forecasted value of Imperial Oil on the next trading day is expected to be 108.03 with a mean absolute deviation of 3.36, mean absolute percentage error of 15.93, and the sum of the absolute errors of 208.12.Please note that although there have been many attempts to predict Imperial Stock 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 Imperial Oil's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Imperial Oil Stock Forecast Pattern
| Backtest Imperial Oil | Imperial Oil Price Prediction | Buy or Sell Advice |
Imperial Oil Forecasted Value
In the context of forecasting Imperial Oil's Stock 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. Imperial Oil's downside and upside margins for the forecasting period are 106.26 and 109.80, respectively. We have considered Imperial Oil'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 Imperial Oil stock data series using in forecasting. Note that when a statistical model is used to represent Imperial Oil stock, 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 | 122.7167 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 3.3567 |
| MAPE | Mean absolute percentage error | 0.0334 |
| SAE | Sum of the absolute errors | 208.1176 |
Predictive Modules for Imperial Oil
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Imperial Oil. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock 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 Imperial Oil
For every potential investor in Imperial, whether a beginner or expert, Imperial Oil's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Imperial Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Imperial. Basic forecasting techniques help filter out the noise by identifying Imperial Oil's price trends.Imperial Oil 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 Imperial Oil stock to make a market-neutral strategy. Peer analysis of Imperial Oil could also be used in its relative valuation, which is a method of valuing Imperial Oil by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Imperial Oil Technical and Predictive Analytics
The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Imperial Oil'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 Imperial Oil's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Imperial Oil Market Strength Events
Market strength indicators help investors to evaluate how Imperial Oil stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Imperial Oil shares will generate the highest return on investment. By undertsting and applying Imperial Oil stock market strength indicators, traders can identify Imperial Oil entry and exit signals to maximize returns.
| Accumulation Distribution | 6160.65 | |||
| Daily Balance Of Power | (0.13) | |||
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 103.84 | |||
| Day Typical Price | 103.79 | |||
| Price Action Indicator | (0.24) | |||
| Period Momentum Indicator | (0.17) | |||
| Relative Strength Index | 52.13 |
Imperial Oil Risk Indicators
The analysis of Imperial Oil'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 Imperial Oil's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting imperial stock 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 | 1.36 | |||
| Semi Deviation | 1.84 | |||
| Standard Deviation | 1.78 | |||
| Variance | 3.16 | |||
| Downside Variance | 3.56 | |||
| Semi Variance | 3.39 | |||
| 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.
Pair Trading with Imperial Oil
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Imperial Oil position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Imperial Oil will appreciate offsetting losses from the drop in the long position's value.Moving together with Imperial Stock
| 0.71 | ENB-PFV | Enbridge Pref 5 | PairCorr |
| 0.66 | ENB-PFU | Enbridge Pref L | PairCorr |
| 0.66 | ENS | E Split Corp | PairCorr |
Moving against Imperial Stock
The ability to find closely correlated positions to Imperial Oil could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Imperial Oil when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Imperial Oil - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Imperial Oil to buy it.
The correlation of Imperial Oil is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Imperial Oil moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Imperial Oil moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Imperial Oil can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Historical Fundamental Analysis of Imperial Oil to cross-verify your projections. To learn how to invest in Imperial Stock, please use our How to Invest in Imperial Oil guide.You can also try the Sign In To Macroaxis module to sign in to explore Macroaxis' wealth optimization platform and fintech modules.