Canadian Pacific Stock Forecast - Simple Exponential Smoothing
| CP Stock | CAD 105.67 1.05 1.00% |
The Simple Exponential Smoothing forecasted value of Canadian Pacific Railway on the next trading day is expected to be 105.67 with a mean absolute deviation of 0.96 and the sum of the absolute errors of 57.66. Canadian Stock Forecast is based on your current time horizon. Although Canadian Pacific's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Canadian Pacific's systematic risk associated with finding meaningful patterns of Canadian Pacific fundamentals over time.
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Canadian Pacific Simple Exponential Smoothing Price Forecast For the 29th of November
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Canadian Pacific Railway on the next trading day is expected to be 105.67 with a mean absolute deviation of 0.96, mean absolute percentage error of 1.39, and the sum of the absolute errors of 57.66.Please note that although there have been many attempts to predict Canadian 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 Canadian Pacific's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Canadian Pacific Stock Forecast Pattern
| Backtest Canadian Pacific | Canadian Pacific Price Prediction | Buy or Sell Advice |
Canadian Pacific Forecasted Value
In the context of forecasting Canadian Pacific'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. Canadian Pacific's downside and upside margins for the forecasting period are 104.61 and 106.73, respectively. We have considered Canadian Pacific'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 Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Canadian Pacific stock data series using in forecasting. Note that when a statistical model is used to represent Canadian Pacific 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 | 116.6023 |
| Bias | Arithmetic mean of the errors | 0.1383 |
| MAD | Mean absolute deviation | 0.961 |
| MAPE | Mean absolute percentage error | 0.0087 |
| SAE | Sum of the absolute errors | 57.66 |
Predictive Modules for Canadian Pacific
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Canadian Pacific Railway. 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.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Canadian Pacific'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.
Other Forecasting Options for Canadian Pacific
For every potential investor in Canadian, whether a beginner or expert, Canadian Pacific's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Canadian Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Canadian. Basic forecasting techniques help filter out the noise by identifying Canadian Pacific's price trends.Canadian Pacific 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 Canadian Pacific stock to make a market-neutral strategy. Peer analysis of Canadian Pacific could also be used in its relative valuation, which is a method of valuing Canadian Pacific by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Canadian Pacific Railway 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 Canadian Pacific'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 Canadian Pacific's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Canadian Pacific Market Strength Events
Market strength indicators help investors to evaluate how Canadian Pacific stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Canadian Pacific shares will generate the highest return on investment. By undertsting and applying Canadian Pacific stock market strength indicators, traders can identify Canadian Pacific Railway entry and exit signals to maximize returns.
Canadian Pacific Risk Indicators
The analysis of Canadian Pacific'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 Canadian Pacific's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting canadian 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 | 0.8447 | |||
| Standard Deviation | 1.05 | |||
| Variance | 1.1 |
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 Canadian Pacific
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 Canadian Pacific 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 Canadian Pacific will appreciate offsetting losses from the drop in the long position's value.Moving against Canadian Stock
| 0.78 | NVDA | NVIDIA CDR | PairCorr |
| 0.7 | GOOG | Alphabet CDR | PairCorr |
| 0.68 | TSLA | Tesla Inc CDR | PairCorr |
| 0.68 | WMT | Walmart Inc CDR | PairCorr |
| 0.66 | CHE-UN | Chemtrade Logistics | PairCorr |
The ability to find closely correlated positions to Canadian Pacific could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Canadian Pacific 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 Canadian Pacific - 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 Canadian Pacific Railway to buy it.
The correlation of Canadian Pacific 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 Canadian Pacific moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Canadian Pacific Railway 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 Canadian Pacific 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 Canadian Pacific to cross-verify your projections. You can also try the Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.