Orkla Asa Stock Market Value
| ORKLF Stock | USD 10.40 0.00 0.00% |
| Symbol | Orkla |
Orkla ASA '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 Orkla ASA'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 Orkla ASA.
| 10/13/2024 |
| 01/06/2026 |
If you would invest 0.00 in Orkla ASA on October 13, 2024 and sell it all today you would earn a total of 0.00 from holding Orkla ASA or generate 0.0% return on investment in Orkla ASA over 450 days. Orkla ASA is related to or competes with Kikkoman, WH Group, Bunzl Plc, Unicharm Corp, J Sainsbury, China Resources, and Saputo. Orkla ASA engages in branded consumer goods, and industrial and financial investment businesses More
Orkla ASA 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 Orkla ASA'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 Orkla ASA upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.25) | |||
| Maximum Drawdown | 4.55 | |||
| Value At Risk | (0.77) |
Orkla ASA Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Orkla ASA's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Orkla ASA's standard deviation. In reality, there are many statistical measures that can use Orkla ASA historical prices to predict the future Orkla ASA's volatility.| Risk Adjusted Performance | (0.09) | |||
| Jensen Alpha | (0.12) | |||
| Total Risk Alpha | (0.18) | |||
| Treynor Ratio | (0.37) |
Orkla ASA Backtested Returns
Orkla ASA maintains Sharpe Ratio (i.e., Efficiency) of -0.12, which implies the firm had a -0.12 % return per unit of risk over the last 3 months. Orkla ASA exposes seventeen different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Orkla ASA's Variance of 0.5336, coefficient of variation of (818.60), and Risk Adjusted Performance of (0.09) to confirm the risk estimate we provide. The company holds a Beta of 0.26, which implies not very significant fluctuations relative to the market. As returns on the market increase, Orkla ASA's returns are expected to increase less than the market. However, during the bear market, the loss of holding Orkla ASA is expected to be smaller as well. At this point, Orkla ASA has a negative expected return of -0.0892%. Please make sure to check Orkla ASA's variance, value at risk, as well as the relationship between the Value At Risk and day median price , to decide if Orkla ASA performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.32 |
Poor reverse predictability
Orkla ASA has poor reverse predictability. Overlapping area represents the amount of predictability between Orkla ASA time series from 13th of October 2024 to 26th of May 2025 and 26th of May 2025 to 6th 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 Orkla ASA price movement. The serial correlation of -0.32 indicates that nearly 32.0% of current Orkla ASA price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.32 | |
| Spearman Rank Test | -0.01 | |
| Residual Average | 0.0 | |
| Price Variance | 0.08 |
Orkla ASA lagged returns against current returns
Autocorrelation, which is Orkla ASA 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 Orkla ASA's pink sheet expected returns. We can calculate the autocorrelation of Orkla ASA returns to help us make a trade decision. For example, suppose you find that Orkla ASA 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 |
Orkla ASA 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 Orkla ASA pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Orkla ASA pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Orkla ASA pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Orkla ASA Lagged Returns
When evaluating Orkla ASA's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Orkla ASA pink sheet have on its future price. Orkla ASA 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, Orkla ASA autocorrelation shows the relationship between Orkla ASA pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Orkla ASA.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Orkla Pink Sheet
Orkla ASA financial ratios help investors to determine whether Orkla 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 Orkla with respect to the benefits of owning Orkla ASA security.