Pf Bakkafrost (Norway) Market Value
| BAKKA Stock | NOK 658.50 2.50 0.38% |
| 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.
| 09/26/2022 |
| 04/18/2024 |
If you would invest 0.00 in Pf Bakkafrost on September 26, 2022 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 570 days. Pf Bakkafrost is related to or competes with Telenor ASA, DnB ASA, Yara International, Storebrand ASA, and Gjensidige Forsikring. 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.
| Downside Deviation | 1.54 | |||
| Information Ratio | 0.1144 | |||
| Maximum Drawdown | 7.48 | |||
| Value At Risk | (2.31) | |||
| Potential Upside | 3.09 |
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 | 0.1002 | |||
| Jensen Alpha | 0.2186 | |||
| Total Risk Alpha | 0.1125 | |||
| Sortino Ratio | 0.1182 | |||
| Treynor Ratio | 1.23 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Pf Bakkafrost'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.
Pf Bakkafrost Backtested Returns
Pf Bakkafrost appears to be very steady, given 3 months investment horizon. Pf Bakkafrost retains Efficiency (Sharpe Ratio) of 0.14, which implies the firm had a 0.14% return per unit of price deviation over the last 3 months. We have found thirty technical indicators for Pf Bakkafrost, which you can use to evaluate the volatility of the company. Please evaluate Pf Bakkafrost's standard deviation of 1.59, and Market Risk Adjusted Performance of 1.24 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Pf Bakkafrost holds a performance score of 11. The company owns a Beta (Systematic Risk) of 0.19, which implies not very significant fluctuations relative to the market. 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. Please check Pf Bakkafrost's mean deviation, standard deviation, treynor ratio, as well as the relationship between the downside deviation and total risk alpha , to make a quick decision on whether Pf Bakkafrost's current price history will revert.
Auto-correlation | 0.39 |
Below average predictability
Pf Bakkafrost has below average predictability. Overlapping area represents the amount of predictability between Pf Bakkafrost time series from 26th of September 2022 to 8th of July 2023 and 8th of July 2023 to 18th of April 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 Pf Bakkafrost price movement. The serial correlation of 0.39 indicates that just about 39.0% of current Pf Bakkafrost price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.39 | |
| Spearman Rank Test | 0.32 | |
| Residual Average | 0.0 | |
| Price Variance | 3408.86 |
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 |
Pair Trading with Pf Bakkafrost
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Pf Bakkafrost position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Pf Bakkafrost will appreciate offsetting losses from the drop in the long position's value.Moving against BAKKA Stock
| 0.86 | AKH | Aker Horizons AS | PairCorr |
The ability to find closely correlated positions to Pf Bakkafrost could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Pf Bakkafrost when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Pf Bakkafrost - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Pf Bakkafrost to buy it.
The correlation of Pf Bakkafrost is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Pf Bakkafrost moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Pf Bakkafrost moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Pf Bakkafrost can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Pf Bakkafrost Correlation, Pf Bakkafrost Volatility and Pf Bakkafrost Alpha and Beta module to complement your research on Pf Bakkafrost. Note that the Pf Bakkafrost information on this page should be used as a complementary analysis to other Pf Bakkafrost's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
Complementary Tools for BAKKA Stock analysis
When running Pf Bakkafrost's price analysis, check to measure Pf Bakkafrost's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Pf Bakkafrost is operating at the current time. Most of Pf Bakkafrost's value examination focuses on studying past and present price action to predict the probability of Pf Bakkafrost's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Pf Bakkafrost's price. Additionally, you may evaluate how the addition of Pf Bakkafrost to your portfolios can decrease your overall portfolio volatility.
| Money Flow Index Determine momentum by analyzing Money Flow Index and other technical indicators | |
| Premium Stories Follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope | |
| Portfolio Optimization Compute new portfolio that will generate highest expected return given your specified tolerance for risk | |
| Positions Ratings Determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
| Transaction History View history of all your transactions and understand their impact on performance | |
| Portfolio Analyzer Portfolio analysis module that provides access to portfolio diagnostics and optimization engine | |
| Price Transformation Use Price Transformation models to analyze the depth of different equity instruments across global markets |
Pf Bakkafrost 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.