Correlation Between Microsoft and Olav Thon
Can any of the company-specific risk be diversified away by investing in both Microsoft and Olav Thon at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Microsoft and Olav Thon into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Microsoft and Olav Thon Eien, you can compare the effects of market volatilities on Microsoft and Olav Thon and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Microsoft with a short position of Olav Thon. Check out your portfolio center. Please also check ongoing floating volatility patterns of Microsoft and Olav Thon.
Diversification Opportunities for Microsoft and Olav Thon
Significant diversification
The 3 months correlation between Microsoft and Olav is 0.03. Overlapping area represents the amount of risk that can be diversified away by holding Microsoft and Olav Thon Eien in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Olav Thon Eien and Microsoft is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Microsoft are associated (or correlated) with Olav Thon. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Olav Thon Eien has no effect on the direction of Microsoft i.e., Microsoft and Olav Thon go up and down completely randomly.
Pair Corralation between Microsoft and Olav Thon
Given the investment horizon of 90 days Microsoft is expected to generate 0.95 times more return on investment than Olav Thon. However, Microsoft is 1.06 times less risky than Olav Thon. It trades about 0.48 of its potential returns per unit of risk. Olav Thon Eien is currently generating about 0.03 per unit of risk. If you would invest 41,696 in Microsoft on September 20, 2024 and sell it today you would earn a total of 3,750 from holding Microsoft or generate 8.99% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 95.45% |
Values | Daily Returns |
Microsoft vs. Olav Thon Eien
Performance |
Timeline |
Microsoft |
Olav Thon Eien |
Microsoft and Olav Thon Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Microsoft and Olav Thon
The main advantage of trading using opposite Microsoft and Olav Thon positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Microsoft position performs unexpectedly, Olav Thon 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 Olav Thon will offset losses from the drop in Olav Thon's long position.Microsoft vs. Global Blue Group | Microsoft vs. Aurora Mobile | Microsoft vs. Marqeta | Microsoft vs. Nextnav Acquisition Corp |
Olav Thon vs. Entra ASA | Olav Thon vs. Veidekke ASA | Olav Thon vs. Selvaag Bolig ASA | Olav Thon vs. Storebrand ASA |
Check out your portfolio center.Note that this page's information should be used as a complementary analysis 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 Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.
Other Complementary Tools
My Watchlist Analysis Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like | |
Portfolio Rebalancing Analyze risk-adjusted returns against different time horizons to find asset-allocation targets | |
Price Transformation Use Price Transformation models to analyze the depth of different equity instruments across global markets | |
Global Markets Map Get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes | |
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 |