Index Oil And Stock Market Value
| IXOG Stock | USD 0.0007 0.00 0.000003% |
| Symbol | Index |
Index Oil Price To Book Ratio
Is Oil & Gas Exploration & Production space 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 Index Oil. If investors know Index 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 Index Oil listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share (0.02) | Revenue Per Share 0.04 | Quarterly Revenue Growth (0.67) | Return On Assets (0.13) | Return On Equity (0.90) |
The market value of Index Oil is measured differently than its book value, which is the value of Index that is recorded on the company's balance sheet. Investors also form their own opinion of Index Oil's value that differs from its market value or its book value, called intrinsic value, which is Index 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 Index Oil's market value can be influenced by many factors that don't directly affect Index 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 Index Oil's value and its price as these two are different measures arrived at by different means. Investors typically determine if Index Oil is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Index 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.
Index 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 Index 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 Index Oil.
| 11/16/2024 |
| 12/16/2024 |
If you would invest 0.00 in Index Oil on November 16, 2024 and sell it all today you would earn a total of 0.00 from holding Index Oil and or generate 0.0% return on investment in Index Oil over 30 days. Index Oil is related to or competes with Baytex Energy, Ovintiv, Obsidian Energy, and Canadian Natural. Index Oil and Gas Inc., through its subsidiaries, engages in the acquisition, exploration, appraisal, development, produ... More
Index 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 Index 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 Index Oil and upside and downside potential and time the market with a certain degree of confidence.
Index Oil Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Index Oil's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Index Oil's standard deviation. In reality, there are many statistical measures that can use Index Oil historical prices to predict the future Index Oil's volatility.Index Oil Backtested Returns
We have found four technical indicators for Index Oil, which you can use to evaluate the volatility of the firm. Please check out Index Oil's Rate Of Daily Change of 1.0, daily balance of power of (9,223,372,036,855), and Day Median Price of 7.0E-4 to validate if the risk estimate we provide is consistent with the expected return of 0.0%. The company retains a Market Volatility (i.e., Beta) of 0.0, which attests to not very significant fluctuations relative to the market. the returns on MARKET and Index Oil are completely uncorrelated. Index Oil right now retains a risk of 0.0%. Please check out Index Oil daily balance of power , to decide if Index Oil will be following its current trending patterns.
Auto-correlation | 0.00 |
No correlation between past and present
Index Oil and has no correlation between past and present. Overlapping area represents the amount of predictability between Index Oil time series from 16th of November 2024 to 1st of December 2024 and 1st of December 2024 to 16th of December 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 Index Oil price movement. The serial correlation of 0.0 indicates that just 0.0% of current Index Oil price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 1.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Index Oil lagged returns against current returns
Autocorrelation, which is Index 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 Index Oil's stock expected returns. We can calculate the autocorrelation of Index Oil returns to help us make a trade decision. For example, suppose you find that Index 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 |
Index 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 Index Oil stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Index Oil stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Index Oil stock over time.
Current vs Lagged Prices |
| Timeline |
Index Oil Lagged Returns
When evaluating Index Oil's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Index Oil stock have on its future price. Index 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, Index Oil autocorrelation shows the relationship between Index Oil stock current value and its past values and can show if there is a momentum factor associated with investing in Index Oil and.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
When determining whether Index Oil is a strong investment it is important to analyze Index Oil's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Index Oil's future performance. For an informed investment choice regarding Index Stock, refer to the following important reports:Check out Index Oil Correlation, Index Oil Volatility and Index Oil Alpha and Beta module to complement your research on Index Oil. You can also try the Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
Index 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.