BlueNord ASA (Norway) Market Value
| BNOR Stock | 600.00 4.00 0.67% |
| Symbol | BlueNord |
BlueNord 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 BlueNord ASA'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 BlueNord ASA.
| 05/30/2024 |
| 11/26/2024 |
If you would invest 0.00 in BlueNord ASA on May 30, 2024 and sell it all today you would earn a total of 0.00 from holding BlueNord ASA or generate 0.0% return on investment in BlueNord ASA over 180 days.
BlueNord 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 BlueNord ASA'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 BlueNord ASA upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.8 | |||
| Information Ratio | 0.0778 | |||
| Maximum Drawdown | 6.56 | |||
| Value At Risk | (2.66) | |||
| Potential Upside | 3.48 |
BlueNord ASA Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for BlueNord ASA's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as BlueNord ASA's standard deviation. In reality, there are many statistical measures that can use BlueNord ASA historical prices to predict the future BlueNord ASA's volatility.| Risk Adjusted Performance | 0.1172 | |||
| Jensen Alpha | 0.3097 | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | 0.0821 | |||
| Treynor Ratio | (0.73) |
BlueNord ASA Backtested Returns
BlueNord ASA appears to be very steady, given 3 months investment horizon. BlueNord ASA secures Sharpe Ratio (or Efficiency) of 0.16, which signifies that the company had a 0.16% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for BlueNord ASA, which you can use to evaluate the volatility of the firm. Please makes use of BlueNord ASA's Mean Deviation of 1.57, risk adjusted performance of 0.1172, and Downside Deviation of 1.8 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, BlueNord ASA holds a performance score of 12. The firm shows a Beta (market volatility) of -0.37, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning BlueNord ASA are expected to decrease at a much lower rate. During the bear market, BlueNord ASA is likely to outperform the market. Please check BlueNord ASA's total risk alpha, treynor ratio, value at risk, as well as the relationship between the sortino ratio and maximum drawdown , to make a quick decision on whether BlueNord ASA's price patterns will revert.
Auto-correlation | -0.79 |
Almost perfect reverse predictability
BlueNord ASA has almost perfect reverse predictability. Overlapping area represents the amount of predictability between BlueNord ASA time series from 30th of May 2024 to 28th of August 2024 and 28th of August 2024 to 26th of November 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 BlueNord ASA price movement. The serial correlation of -0.79 indicates that around 79.0% of current BlueNord ASA price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.79 | |
| Spearman Rank Test | -0.75 | |
| Residual Average | 0.0 | |
| Price Variance | 2243.34 |
BlueNord ASA lagged returns against current returns
Autocorrelation, which is BlueNord ASA 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 BlueNord ASA's stock expected returns. We can calculate the autocorrelation of BlueNord ASA returns to help us make a trade decision. For example, suppose you find that BlueNord ASA 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 |
BlueNord 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 BlueNord ASA stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if BlueNord ASA stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in BlueNord ASA stock over time.
Current vs Lagged Prices |
| Timeline |
BlueNord ASA Lagged Returns
When evaluating BlueNord ASA's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of BlueNord ASA stock have on its future price. BlueNord 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, BlueNord ASA autocorrelation shows the relationship between BlueNord ASA stock current value and its past values and can show if there is a momentum factor associated with investing in BlueNord ASA.
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 Architect