Pf Bakkafrost (Norway) Market Value
| BAKKA Stock | NOK 545.50 6.00 1.11% |
| Symbol | BAKKA |
Pf Bakkafrost '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 Pf Bakkafrost'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 Pf Bakkafrost.
| 12/19/2024 |
| 03/19/2025 |
If you would invest 0.00 in Pf Bakkafrost on December 19, 2024 and sell it all today you would earn a total of 0.00 from holding Pf Bakkafrost or generate 0.0% return on investment in Pf Bakkafrost over 90 days. Pf Bakkafrost is related to or competes with SalMar ASA, Mowi ASA, Lery Seafood, Grieg Seafood, and Austevoll Seafood. PF Bakkafrost, together with its subsidiaries, produces and sells salmon products under the Bakkafrost and Havsbrn brand... More
Pf Bakkafrost 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 Pf Bakkafrost'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 Pf Bakkafrost upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.13) | |||
| Maximum Drawdown | 8.38 | |||
| Value At Risk | (3.74) | |||
| Potential Upside | 2.01 |
Pf Bakkafrost Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Pf Bakkafrost's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Pf Bakkafrost's standard deviation. In reality, there are many statistical measures that can use Pf Bakkafrost historical prices to predict the future Pf Bakkafrost's volatility.| Risk Adjusted Performance | (0.15) | |||
| Jensen Alpha | (0.24) | |||
| Total Risk Alpha | (0.13) | |||
| Treynor Ratio | (0.49) |
Pf Bakkafrost Backtested Returns
Pf Bakkafrost retains Efficiency (Sharpe Ratio) of -0.19, which implies the firm had a -0.19 % return per unit of price deviation over the last 3 months. Pf Bakkafrost exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Pf Bakkafrost's information ratio of (0.13), and Market Risk Adjusted Performance of (0.48) to confirm the risk estimate we provide. The company owns a Beta (Systematic Risk) of 0.61, which implies possible diversification benefits within a given portfolio. As returns on the market increase, Pf Bakkafrost's returns are expected to increase less than the market. However, during the bear market, the loss of holding Pf Bakkafrost is expected to be smaller as well. At this point, Pf Bakkafrost has a negative expected return of -0.28%. Please make sure to check Pf Bakkafrost's total risk alpha, potential upside, and the relationship between the standard deviation and maximum drawdown , to decide if Pf Bakkafrost performance from the past will be repeated in the future.
Auto-correlation | -0.08 |
Very weak reverse predictability
Pf Bakkafrost has very weak reverse predictability. Overlapping area represents the amount of predictability between Pf Bakkafrost time series from 19th of December 2024 to 2nd of February 2025 and 2nd of February 2025 to 19th of March 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 Pf Bakkafrost price movement. The serial correlation of -0.08 indicates that barely 8.0% of current Pf Bakkafrost price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.08 | |
| Spearman Rank Test | 0.05 | |
| Residual Average | 0.0 | |
| Price Variance | 987.14 |
Pf Bakkafrost lagged returns against current returns
Autocorrelation, which is Pf Bakkafrost 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 Pf Bakkafrost's stock expected returns. We can calculate the autocorrelation of Pf Bakkafrost returns to help us make a trade decision. For example, suppose you find that Pf Bakkafrost 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 |
Pf Bakkafrost 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 Pf Bakkafrost stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Pf Bakkafrost stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Pf Bakkafrost stock over time.
Current vs Lagged Prices |
| Timeline |
Pf Bakkafrost Lagged Returns
When evaluating Pf Bakkafrost's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Pf Bakkafrost stock have on its future price. Pf Bakkafrost 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, Pf Bakkafrost autocorrelation shows the relationship between Pf Bakkafrost stock current value and its past values and can show if there is a momentum factor associated with investing in Pf Bakkafrost.
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 BAKKA Stock
Pf Bakkafrost financial ratios help investors to determine whether BAKKA 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 BAKKA with respect to the benefits of owning Pf Bakkafrost security.