Cenovus Energy Stock Market Value
| CVE Stock | CAD 30.88 0.80 2.53% |
| Symbol | Cenovus |
Cenovus Energy 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Cenovus Energy's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Cenovus Energy.
| 11/24/2025 |
| 02/22/2026 |
If you would invest 0.00 in Cenovus Energy on November 24, 2025 and sell it all today you would earn a total of 0.00 from holding Cenovus Energy or generate 0.0% return on investment in Cenovus Energy over 90 days. Cenovus Energy is related to or competes with Enbridge, Imperial Oil, Suncor Energy, Pembina Pipeline, Tourmaline Oil, TC Energy, and ARC Resources. Cenovus Energy Inc., together with its subsidiaries, develops, produces, and markets crude oil, natural gas liquids, and... More
Cenovus Energy Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Cenovus Energy's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Cenovus Energy upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.13 | |||
| Information Ratio | 0.115 | |||
| Maximum Drawdown | 8.84 | |||
| Value At Risk | (2.91) | |||
| Potential Upside | 4.15 |
Cenovus Energy Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Cenovus Energy's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Cenovus Energy's standard deviation. In reality, there are many statistical measures that can use Cenovus Energy historical prices to predict the future Cenovus Energy's volatility.| Risk Adjusted Performance | 0.1209 | |||
| Jensen Alpha | 0.3233 | |||
| Total Risk Alpha | 0.1226 | |||
| Sortino Ratio | 0.1248 | |||
| Treynor Ratio | 1.75 |
Cenovus Energy February 22, 2026 Technical Indicators
| Cycle Indicators | ||
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| Math Transform | ||
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| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
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| Volume Indicators |
| Risk Adjusted Performance | 0.1209 | |||
| Market Risk Adjusted Performance | 1.76 | |||
| Mean Deviation | 1.84 | |||
| Semi Deviation | 1.91 | |||
| Downside Deviation | 2.13 | |||
| Coefficient Of Variation | 667.8 | |||
| Standard Deviation | 2.32 | |||
| Variance | 5.37 | |||
| Information Ratio | 0.115 | |||
| Jensen Alpha | 0.3233 | |||
| Total Risk Alpha | 0.1226 | |||
| Sortino Ratio | 0.1248 | |||
| Treynor Ratio | 1.75 | |||
| Maximum Drawdown | 8.84 | |||
| Value At Risk | (2.91) | |||
| Potential Upside | 4.15 | |||
| Downside Variance | 4.55 | |||
| Semi Variance | 3.63 | |||
| Expected Short fall | (2.08) | |||
| Skewness | 0.135 | |||
| Kurtosis | (0.28) |
Cenovus Energy Backtested Returns
Cenovus Energy appears to be very steady, given 3 months investment horizon. Cenovus Energy secures Sharpe Ratio (or Efficiency) of 0.16, which signifies that the company had a 0.16 % return per unit of risk over the last 3 months. We have found thirty technical indicators for Cenovus Energy, which you can use to evaluate the volatility of the firm. Please makes use of Cenovus Energy's Downside Deviation of 2.13, risk adjusted performance of 0.1209, and Mean Deviation of 1.84 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Cenovus Energy holds a performance score of 12. The firm shows a Beta (market volatility) of 0.19, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Cenovus Energy's returns are expected to increase less than the market. However, during the bear market, the loss of holding Cenovus Energy is expected to be smaller as well. Please check Cenovus Energy's total risk alpha, downside variance, daily balance of power, as well as the relationship between the maximum drawdown and skewness , to make a quick decision on whether Cenovus Energy's price patterns will revert.
Auto-correlation | -0.79 |
Almost perfect reverse predictability
Cenovus Energy has almost perfect reverse predictability. Overlapping area represents the amount of predictability between Cenovus Energy time series from 24th of November 2025 to 8th of January 2026 and 8th of January 2026 to 22nd of February 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Cenovus Energy price movement. The serial correlation of -0.79 indicates that around 79.0% of current Cenovus Energy price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.79 | |
| Spearman Rank Test | -0.81 | |
| Residual Average | 0.0 | |
| Price Variance | 5.39 |
Pair Trading with Cenovus Energy
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 Cenovus Energy 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 Cenovus Energy will appreciate offsetting losses from the drop in the long position's value.Moving together with Cenovus Stock
Moving against Cenovus Stock
| 0.54 | SAGE | Sage Potash Corp Earnings Call This Week | PairCorr |
| 0.46 | ENS-PA | E Split Corp | PairCorr |
| 0.33 | TD-PFI | Toronto Dominion Bank Earnings Call This Week | PairCorr |
| 0.33 | CIA | Champion Iron | PairCorr |
The ability to find closely correlated positions to Cenovus Energy could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Cenovus Energy 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 Cenovus Energy - 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 Cenovus Energy to buy it.
The correlation of Cenovus Energy 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 Cenovus Energy moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Cenovus 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 Cenovus Energy 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 Cenovus Energy Correlation, Cenovus Energy Volatility and Cenovus Energy Performance module to complement your research on Cenovus Energy. To learn how to invest in Cenovus Stock, please use our How to Invest in Cenovus Energy guide.You can also try the Commodity Directory module to find actively traded commodities issued by global exchanges.
Cenovus Energy technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.