Ocean GeoLoop (Norway) Market Value
| OCEAN Stock | 3.90 0.40 9.30% |
| Symbol | Ocean |
Ocean GeoLoop '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 Ocean GeoLoop'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 Ocean GeoLoop.
| 12/09/2024 |
| 01/08/2025 |
If you would invest 0.00 in Ocean GeoLoop on December 9, 2024 and sell it all today you would earn a total of 0.00 from holding Ocean GeoLoop AS or generate 0.0% return on investment in Ocean GeoLoop over 30 days. Ocean GeoLoop is related to or competes with Bien Sparebank, Romerike Sparebank, Nidaros Sparebank, Nordic Technology, Helgeland Sparebank, Romsdal Sparebank, and Jaeren Sparebank. More
Ocean GeoLoop 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 Ocean GeoLoop'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 Ocean GeoLoop AS upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.05) | |||
| Maximum Drawdown | 58.05 | |||
| Value At Risk | (14.15) | |||
| Potential Upside | 15.57 |
Ocean GeoLoop Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Ocean GeoLoop's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Ocean GeoLoop's standard deviation. In reality, there are many statistical measures that can use Ocean GeoLoop historical prices to predict the future Ocean GeoLoop's volatility.| Risk Adjusted Performance | (0.03) | |||
| Jensen Alpha | (0.50) | |||
| Total Risk Alpha | (0.73) | |||
| Treynor Ratio | 57.84 |
Ocean GeoLoop AS Backtested Returns
Ocean GeoLoop AS maintains Sharpe Ratio (i.e., Efficiency) of -0.0304, which implies the firm had a -0.0304% return per unit of risk over the last 3 months. Ocean GeoLoop AS exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Ocean GeoLoop's Coefficient Of Variation of (2,158), risk adjusted performance of (0.03), and Variance of 110.68 to confirm the risk estimate we provide. The company holds a Beta of -0.0086, which implies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Ocean GeoLoop are expected to decrease at a much lower rate. During the bear market, Ocean GeoLoop is likely to outperform the market. At this point, Ocean GeoLoop AS has a negative expected return of -0.34%. Please make sure to check Ocean GeoLoop's skewness, and the relationship between the total risk alpha and day median price , to decide if Ocean GeoLoop AS performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.85 |
Excellent reverse predictability
Ocean GeoLoop AS has excellent reverse predictability. Overlapping area represents the amount of predictability between Ocean GeoLoop time series from 9th of December 2024 to 24th of December 2024 and 24th of December 2024 to 8th of January 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Ocean GeoLoop AS price movement. The serial correlation of -0.85 indicates that around 85.0% of current Ocean GeoLoop price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.85 | |
| Spearman Rank Test | -0.54 | |
| Residual Average | 0.0 | |
| Price Variance | 0.15 |
Ocean GeoLoop AS lagged returns against current returns
Autocorrelation, which is Ocean GeoLoop 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 Ocean GeoLoop's stock expected returns. We can calculate the autocorrelation of Ocean GeoLoop returns to help us make a trade decision. For example, suppose you find that Ocean GeoLoop 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 |
Ocean GeoLoop 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 Ocean GeoLoop stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Ocean GeoLoop stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Ocean GeoLoop stock over time.
Current vs Lagged Prices |
| Timeline |
Ocean GeoLoop Lagged Returns
When evaluating Ocean GeoLoop's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Ocean GeoLoop stock have on its future price. Ocean GeoLoop 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, Ocean GeoLoop autocorrelation shows the relationship between Ocean GeoLoop stock current value and its past values and can show if there is a momentum factor associated with investing in Ocean GeoLoop AS.
Regressed Prices |
| Timeline |
Building efficient market-beating portfolios requires time, education, and a lot of computing power!
The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.
Try AI Portfolio ArchitectOther Information on Investing in Ocean Stock
Ocean GeoLoop financial ratios help investors to determine whether Ocean Stock 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 Ocean with respect to the benefits of owning Ocean GeoLoop security.