Vermilion Energy Stock Market Value
| VET Stock | CAD 14.94 0.21 1.39% |
| Symbol | Vermilion |
Vermilion 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 Vermilion 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 Vermilion Energy.
| 10/24/2024 |
| 11/23/2024 |
If you would invest 0.00 in Vermilion Energy on October 24, 2024 and sell it all today you would earn a total of 0.00 from holding Vermilion Energy or generate 0.0% return on investment in Vermilion Energy over 30 days. Vermilion Energy is related to or competes with Whitecap Resources, ARC Resources, Tourmaline Oil, and MEG Energy. Vermilion Energy Inc., together with its subsidiaries, engages in the acquisition, exploration, development, and product... More
Vermilion 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 Vermilion 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 Vermilion Energy upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.21 | |||
| Information Ratio | 0.0073 | |||
| Maximum Drawdown | 9.56 | |||
| Value At Risk | (3.02) | |||
| Potential Upside | 3.65 |
Vermilion Energy Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Vermilion Energy's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Vermilion Energy's standard deviation. In reality, there are many statistical measures that can use Vermilion Energy historical prices to predict the future Vermilion Energy's volatility.| Risk Adjusted Performance | 0.057 | |||
| Jensen Alpha | 0.0721 | |||
| Total Risk Alpha | (0.22) | |||
| Sortino Ratio | 0.0074 | |||
| Treynor Ratio | 0.2545 |
Vermilion Energy Backtested Returns
As of now, Vermilion Stock is not too volatile. Vermilion Energy owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0653, which indicates the firm had a 0.0653% return per unit of risk over the last 3 months. We have found thirty technical indicators for Vermilion Energy, which you can use to evaluate the volatility of the company. Please validate Vermilion Energy's Risk Adjusted Performance of 0.057, coefficient of variation of 1520.1, and Semi Deviation of 2.03 to confirm if the risk estimate we provide is consistent with the expected return of 0.14%. Vermilion Energy has a performance score of 5 on a scale of 0 to 100. The entity has a beta of 0.54, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Vermilion Energy's returns are expected to increase less than the market. However, during the bear market, the loss of holding Vermilion Energy is expected to be smaller as well. Vermilion Energy right now has a risk of 2.22%. Please validate Vermilion Energy skewness, and the relationship between the potential upside and rate of daily change , to decide if Vermilion Energy will be following its existing price patterns.
Auto-correlation | 0.45 |
Average predictability
Vermilion Energy has average predictability. Overlapping area represents the amount of predictability between Vermilion Energy time series from 24th of October 2024 to 8th of November 2024 and 8th of November 2024 to 23rd of November 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Vermilion Energy price movement. The serial correlation of 0.45 indicates that just about 45.0% of current Vermilion Energy price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.45 | |
| Spearman Rank Test | 0.38 | |
| Residual Average | 0.0 | |
| Price Variance | 0.42 |
Vermilion Energy lagged returns against current returns
Autocorrelation, which is Vermilion Energy stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Vermilion Energy's stock expected returns. We can calculate the autocorrelation of Vermilion Energy returns to help us make a trade decision. For example, suppose you find that Vermilion Energy has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Vermilion Energy regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Vermilion Energy stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Vermilion Energy stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Vermilion Energy stock over time.
Current vs Lagged Prices |
| Timeline |
Vermilion Energy Lagged Returns
When evaluating Vermilion Energy's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Vermilion Energy stock have on its future price. Vermilion Energy autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Vermilion Energy autocorrelation shows the relationship between Vermilion Energy stock current value and its past values and can show if there is a momentum factor associated with investing in Vermilion Energy.
Regressed Prices |
| Timeline |
Pair Trading with Vermilion 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 Vermilion 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 Vermilion Energy will appreciate offsetting losses from the drop in the long position's value.Moving against Vermilion Stock
The ability to find closely correlated positions to Vermilion 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 Vermilion 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 Vermilion 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 Vermilion Energy to buy it.
The correlation of Vermilion 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 Vermilion Energy moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Vermilion 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 Vermilion 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 Vermilion Energy Correlation, Vermilion Energy Volatility and Vermilion Energy Alpha and Beta module to complement your research on Vermilion Energy. To learn how to invest in Vermilion Stock, please use our How to Invest in Vermilion Energy guide.You can also try the Transaction History module to view history of all your transactions and understand their impact on performance.
Vermilion 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.