Oceanic Iron Ore Stock Market Value
| FEOVF Stock | USD 0.51 0.03 5.56% |
| Symbol | Oceanic |
Oceanic Iron '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 Oceanic Iron's pink sheet 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 Oceanic Iron.
| 07/11/2024 |
| 01/02/2026 |
If you would invest 0.00 in Oceanic Iron on July 11, 2024 and sell it all today you would earn a total of 0.00 from holding Oceanic Iron Ore or generate 0.0% return on investment in Oceanic Iron over 540 days. Oceanic Iron is related to or competes with United Rentals, Bassett Furniture, Kforce, Home Loan, New Ulm, Merck, and Air Lease. Oceanic Iron Ore Corp., an exploration stage company, acquires and explores for iron ore properties in Qubec, Canada More
Oceanic Iron 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 Oceanic Iron's pink sheet 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 Oceanic Iron Ore upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.05) | |||
| Maximum Drawdown | 30.52 | |||
| Value At Risk | (8.33) | |||
| Potential Upside | 9.62 |
Oceanic Iron Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Oceanic Iron's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Oceanic Iron's standard deviation. In reality, there are many statistical measures that can use Oceanic Iron historical prices to predict the future Oceanic Iron's volatility.| Risk Adjusted Performance | (0.02) | |||
| Jensen Alpha | (0.28) | |||
| Total Risk Alpha | (0.53) | |||
| Treynor Ratio | (0.1) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Oceanic Iron'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.
Oceanic Iron Ore Backtested Returns
Oceanic Iron Ore maintains Sharpe Ratio (i.e., Efficiency) of -0.093, which implies the firm had a -0.093 % return per unit of risk over the last 3 months. Oceanic Iron Ore exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Oceanic Iron's Coefficient Of Variation of (2,721), risk adjusted performance of (0.02), and Variance of 23.94 to confirm the risk estimate we provide. The company holds a Beta of 1.94, which implies a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Oceanic Iron will likely underperform. At this point, Oceanic Iron Ore has a negative expected return of -0.4%. Please make sure to check Oceanic Iron's jensen alpha, as well as the relationship between the kurtosis and price action indicator , to decide if Oceanic Iron Ore performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.37 |
Below average predictability
Oceanic Iron Ore has below average predictability. Overlapping area represents the amount of predictability between Oceanic Iron time series from 11th of July 2024 to 7th of April 2025 and 7th of April 2025 to 2nd of January 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 Oceanic Iron Ore price movement. The serial correlation of 0.37 indicates that just about 37.0% of current Oceanic Iron price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.37 | |
| Spearman Rank Test | 0.48 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
Oceanic Iron Ore lagged returns against current returns
Autocorrelation, which is Oceanic Iron pink sheet'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 Oceanic Iron's pink sheet expected returns. We can calculate the autocorrelation of Oceanic Iron returns to help us make a trade decision. For example, suppose you find that Oceanic Iron has exhibited high autocorrelation historically, and you observe that the pink sheet 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 |
Oceanic Iron 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 Oceanic Iron pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Oceanic Iron pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Oceanic Iron pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Oceanic Iron Lagged Returns
When evaluating Oceanic Iron's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Oceanic Iron pink sheet have on its future price. Oceanic Iron 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, Oceanic Iron autocorrelation shows the relationship between Oceanic Iron pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Oceanic Iron Ore.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Oceanic Pink Sheet
Oceanic Iron financial ratios help investors to determine whether Oceanic Pink Sheet is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Oceanic with respect to the benefits of owning Oceanic Iron security.