Pine Cliff Stock Forecast - Simple Regression
| PNE Stock | CAD 0.88 0.01 1.15% |
The Simple Regression forecasted value of Pine Cliff Energy on the next trading day is expected to be 0.85 with a mean absolute deviation of 0.04 and the sum of the absolute errors of 2.55. Pine Stock Forecast is based on your current time horizon. Although Pine Cliff's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Pine Cliff's systematic risk associated with finding meaningful patterns of Pine Cliff fundamentals over time.
Pine |
Pine Cliff Simple Regression Price Forecast For the 29th of November
Given 90 days horizon, the Simple Regression forecasted value of Pine Cliff Energy on the next trading day is expected to be 0.85 with a mean absolute deviation of 0.04, mean absolute percentage error of 0, and the sum of the absolute errors of 2.55.Please note that although there have been many attempts to predict Pine 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 Pine Cliff's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Pine Cliff Stock Forecast Pattern
| Backtest Pine Cliff | Pine Cliff Price Prediction | Buy or Sell Advice |
Pine Cliff Forecasted Value
In the context of forecasting Pine Cliff'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. Pine Cliff's downside and upside margins for the forecasting period are 0.01 and 3.56, respectively. We have considered Pine Cliff'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 Pine Cliff stock data series using in forecasting. Note that when a statistical model is used to represent Pine Cliff 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 | 112.0302 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0418 |
| MAPE | Mean absolute percentage error | 0.0452 |
| SAE | Sum of the absolute errors | 2.5497 |
Predictive Modules for Pine Cliff
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Pine Cliff Energy. 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 Pine Cliff
For every potential investor in Pine, whether a beginner or expert, Pine Cliff's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Pine Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Pine. Basic forecasting techniques help filter out the noise by identifying Pine Cliff's price trends.Pine Cliff 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 Pine Cliff stock to make a market-neutral strategy. Peer analysis of Pine Cliff could also be used in its relative valuation, which is a method of valuing Pine Cliff by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Pine Cliff Energy 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 Pine Cliff'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 Pine Cliff's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
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| Volume Indicators |
Pine Cliff Market Strength Events
Market strength indicators help investors to evaluate how Pine Cliff stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Pine Cliff shares will generate the highest return on investment. By undertsting and applying Pine Cliff stock market strength indicators, traders can identify Pine Cliff Energy entry and exit signals to maximize returns.
| Accumulation Distribution | 407.36 | |||
| Daily Balance Of Power | 1.0 | |||
| Rate Of Daily Change | 1.01 | |||
| Day Median Price | 0.89 | |||
| Day Typical Price | 0.88 | |||
| Period Momentum Indicator | 0.01 |
Pine Cliff Risk Indicators
The analysis of Pine Cliff'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 Pine Cliff's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting pine 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 | 1.99 | |||
| Standard Deviation | 2.66 | |||
| Variance | 7.09 |
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 Pine Cliff
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 Pine Cliff 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 Pine Cliff will appreciate offsetting losses from the drop in the long position's value.Moving against Pine Stock
| 0.53 | ENS | E Split Corp | PairCorr |
| 0.5 | ENS-PA | E Split Corp | PairCorr |
| 0.41 | BUI | Buhler Industries | PairCorr |
| 0.37 | ENB-PFV | Enbridge Pref 5 | PairCorr |
The ability to find closely correlated positions to Pine Cliff could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Pine Cliff 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 Pine Cliff - 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 Pine Cliff Energy to buy it.
The correlation of Pine Cliff 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 Pine Cliff moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Pine Cliff Energy 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 Pine Cliff 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.Other Information on Investing in Pine Stock
Pine Cliff financial ratios help investors to determine whether Pine Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Pine with respect to the benefits of owning Pine Cliff security.