Ovintiv Stock Forward View - Simple Regression
| OVV Stock | CAD 78.17 -0.06 -0.08% |
This reference page covers Simple Regression forecast output for Ovintiv, including the projected price and deviation metrics. The model is fitted to available historical daily prices.
The Simple Regression forecasted value of Ovintiv on the next trading day is expected to be 77.26 with a mean absolute deviation of 1.43 and the sum of the absolute errors of 87.07.In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as Ovintiv historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data. All forecast values on this page for Ovintiv are Simple Regression reference data derived from historical price series. Simple Regression Price Forecast For the 23rd of March
Given 90 days horizon, the Simple Regression forecasted value of Ovintiv on the next trading day is expected to be 77.26 with a mean absolute deviation of 1.43 , mean absolute percentage error of 2.95 , and the sum of the absolute errors of 87.07 .Please note that although there have been many attempts to predict Ovintiv Stock prices using its time series forecasting, we generally do not suggest using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Ovintiv's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Stock Forecast Pattern
| Backtest Ovintiv | Ovintiv Price Prediction | Research Analysis |
Forecasted Value
This next-day forecast for Ovintiv uses model performance to estimate practical downside and upside boundaries rather than a single point target alone. At the moment, the model places downside around 75.14 and upside around 79.38 for the forecasting period.
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 Ovintiv stock data series using in forecasting. Note that when a statistical model is used to represent Ovintiv 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 | 119.1913 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 1.4273 |
| MAPE | Mean absolute percentage error | 0.0235 |
| SAE | Sum of the absolute errors | 87.0672 |
Other Forecasting Options for Ovintiv
Price movement is the most critical factor for any investor assessing the potential of Ovintiv as an investment. The noise inherent in Ovintiv Stock price charts can obscure the underlying direction and make investment decisions more challenging.Ovintiv Related Equities
The following equities are related to Ovintiv within the Energy space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing Ovintiv against peers on metrics such as P/E, margins, and return on equity helps contextualize its positioning and identify relative strengths or weaknesses.
| Risk & Return | Correlation |
Ovintiv Market Strength Events
For investors in Ovintiv, market strength indicators provide essential context about how the stock responds to prevailing market trends. These tools support more informed decisions about when to trade Ovintiv for maximum effect.
Ovintiv Risk Indicators
Identifying and analyzing Ovintiv's risk indicators provides investors with important context for price forecasting and investment decision-making. By understanding how much risk is embedded in Ovintiv's investment, investors can make better choices about position sizing,.
| Mean Deviation | 1.81 | |||
| Semi Deviation | 1.62 | |||
| Standard Deviation | 2.3 | |||
| Variance | 5.31 | |||
| Downside Variance | 4.19 | |||
| Semi Variance | 2.61 | |||
| Expected Short fall | -2.10 |
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.
Story Coverage note for Ovintiv
Coverage intensity for Ovintiv matters because narrative visibility can influence sentiment, participation, and volatility around the name. The practical risk is that faster visibility can increase both interest and skepticism at the same time.
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Ovintiv Short Properties
Reviewing short-oriented indicators for Ovintiv is useful because long and short participants often create very different signals for timing and volatility. The stronger read compares short sentiment with trend behavior, volume, and the broader market narrative.
| Common Stock Shares Outstanding | 259.7 M | |
| Cash And Short Term Investments | 280 M |
More Resources for Ovintiv Stock Analysis
Initial analysis of Ovintiv centers on its financial statements and observed trends. Ratios connect earnings, costs, and operational efficiency.Projections for Ovintiv can be cross-referenced against Historical Fundamental Analysis of Ovintiv data. The view supplies historical context for the projection discussion. Fundamental trends for Ovintiv are best interpreted across multiple reporting cycles. Get started with Ovintiv Stock investing by reading our How to Invest in Ovintiv Stock guide.With Ovintiv showing P/E 5.83 and ROE 11.54%, investors get more value when this analysis is combined with the diversification and construction tools below. Those return and profitability levels shape the investment picture - the supplemental tools help investors decide if they are sustainable. You can also try the Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.