Imperial Oil Stock Market Value
IMO Stock | USD 69.61 1.03 1.50% |
Symbol | Imperial |
Imperial Oil Price To Book Ratio
Is Imperial Oil's industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Imperial Oil. If investors know Imperial will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Imperial Oil listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth (0.14) | Dividend Share 1.94 | Earnings Share 6.17 | Revenue Per Share 88.208 | Quarterly Revenue Growth (0.1) |
The market value of Imperial Oil is measured differently than its book value, which is the value of Imperial that is recorded on the company's balance sheet. Investors also form their own opinion of Imperial Oil's value that differs from its market value or its book value, called intrinsic value, which is Imperial Oil's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Imperial Oil's market value can be influenced by many factors that don't directly affect Imperial Oil's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Imperial Oil's value and its price as these two are different measures arrived at by different means. Investors typically determine if Imperial Oil is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Imperial Oil's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Imperial Oil '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 Imperial Oil'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 Imperial Oil.
02/17/2024 |
| 04/17/2024 |
If you would invest 0.00 in Imperial Oil on February 17, 2024 and sell it all today you would earn a total of 0.00 from holding Imperial Oil or generate 0.0% return on investment in Imperial Oil over 60 days. Imperial Oil is related to or competes with Shell PLC, and Petróleo Brasileiro. Imperial Oil Limited engages in exploration, production, and sale of crude oil and natural gas in Canada More
Imperial Oil 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 Imperial Oil'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 Imperial Oil upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 1.53 | |||
Information Ratio | 0.1471 | |||
Maximum Drawdown | 6.8 | |||
Value At Risk | (1.96) | |||
Potential Upside | 2.56 |
Imperial Oil Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Imperial Oil's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Imperial Oil's standard deviation. In reality, there are many statistical measures that can use Imperial Oil historical prices to predict the future Imperial Oil's volatility.Risk Adjusted Performance | 0.1228 | |||
Jensen Alpha | 0.2278 | |||
Total Risk Alpha | 0.1552 | |||
Sortino Ratio | 0.1452 | |||
Treynor Ratio | 0.3043 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Imperial Oil'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.
Imperial Oil Backtested Returns
Imperial Oil appears to be very steady, given 3 months investment horizon. Imperial Oil holds Efficiency (Sharpe) Ratio of 0.26, which attests that the entity had a 0.26% return per unit of risk over the last 3 months. We have found thirty technical indicators for Imperial Oil, which you can use to evaluate the volatility of the firm. Please utilize Imperial Oil's Risk Adjusted Performance of 0.1228, downside deviation of 1.53, and Market Risk Adjusted Performance of 0.3143 to validate if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Imperial Oil holds a performance score of 20. The company retains a Market Volatility (i.e., Beta) of 0.89, which attests to possible diversification benefits within a given portfolio. Imperial Oil returns are very sensitive to returns on the market. As the market goes up or down, Imperial Oil is expected to follow. Please check Imperial Oil's expected short fall, and the relationship between the maximum drawdown and rate of daily change , to make a quick decision on whether Imperial Oil's current trending patterns will revert.
Auto-correlation | 0.65 |
Good predictability
Imperial Oil has good predictability. Overlapping area represents the amount of predictability between Imperial Oil time series from 17th of February 2024 to 18th of March 2024 and 18th of March 2024 to 17th of April 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 Imperial Oil price movement. The serial correlation of 0.65 indicates that roughly 65.0% of current Imperial Oil price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.65 | |
Spearman Rank Test | 0.75 | |
Residual Average | 0.0 | |
Price Variance | 4.61 |
Imperial Oil lagged returns against current returns
Autocorrelation, which is Imperial Oil 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 Imperial Oil's stock expected returns. We can calculate the autocorrelation of Imperial Oil returns to help us make a trade decision. For example, suppose you find that Imperial Oil 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 |
Imperial Oil 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 Imperial Oil stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Imperial Oil stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Imperial Oil stock over time.
Current vs Lagged Prices |
Timeline |
Imperial Oil Lagged Returns
When evaluating Imperial Oil's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Imperial Oil stock have on its future price. Imperial Oil 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, Imperial Oil autocorrelation shows the relationship between Imperial Oil stock current value and its past values and can show if there is a momentum factor associated with investing in Imperial Oil.
Regressed Prices |
Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Imperial Oil in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Imperial Oil's short interest history, or implied volatility extrapolated from Imperial Oil options trading.
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Try AI Portfolio ArchitectCheck out Imperial Oil Correlation, Imperial Oil Volatility and Imperial Oil Alpha and Beta module to complement your research on Imperial Oil. To learn how to invest in Imperial Stock, please use our How to Invest in Imperial Oil guide.You can also try the Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
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When running Imperial Oil's price analysis, check to measure Imperial Oil's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Imperial Oil is operating at the current time. Most of Imperial Oil's value examination focuses on studying past and present price action to predict the probability of Imperial Oil's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Imperial Oil's price. Additionally, you may evaluate how the addition of Imperial Oil to your portfolios can decrease your overall portfolio volatility.
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Imperial Oil 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.