Correlation Between Nilsson Special and Online Brands
Can any of the company-specific risk be diversified away by investing in both Nilsson Special and Online Brands 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 Nilsson Special and Online Brands into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Nilsson Special Vehicles and Online Brands Nordic, you can compare the effects of market volatilities on Nilsson Special and Online Brands 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 Nilsson Special with a short position of Online Brands. Check out your portfolio center. Please also check ongoing floating volatility patterns of Nilsson Special and Online Brands.
Diversification Opportunities for Nilsson Special and Online Brands
0.19 | Correlation Coefficient |
Average diversification
The 3 months correlation between Nilsson and Online is 0.19. Overlapping area represents the amount of risk that can be diversified away by holding Nilsson Special Vehicles and Online Brands Nordic in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Online Brands Nordic and Nilsson Special 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 Nilsson Special Vehicles are associated (or correlated) with Online Brands. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Online Brands Nordic has no effect on the direction of Nilsson Special i.e., Nilsson Special and Online Brands go up and down completely randomly.
Pair Corralation between Nilsson Special and Online Brands
Assuming the 90 days trading horizon Nilsson Special Vehicles is expected to generate 0.82 times more return on investment than Online Brands. However, Nilsson Special Vehicles is 1.22 times less risky than Online Brands. It trades about -0.01 of its potential returns per unit of risk. Online Brands Nordic is currently generating about -0.03 per unit of risk. If you would invest 476.00 in Nilsson Special Vehicles on August 24, 2024 and sell it today you would lose (178.00) from holding Nilsson Special Vehicles or give up 37.39% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Nilsson Special Vehicles vs. Online Brands Nordic
Performance |
Timeline |
Nilsson Special Vehicles |
Online Brands Nordic |
Nilsson Special and Online Brands Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Nilsson Special and Online Brands
The main advantage of trading using opposite Nilsson Special and Online Brands positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Nilsson Special position performs unexpectedly, Online Brands 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 Online Brands will offset losses from the drop in Online Brands' long position.Nilsson Special vs. Volvo Car AB | Nilsson Special vs. KABE Group AB | Nilsson Special vs. IAR Systems Group | Nilsson Special vs. Norva24 Group AB |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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