Correlation Between Nok Airlines and BioNTech
Can any of the company-specific risk be diversified away by investing in both Nok Airlines and BioNTech 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 Nok Airlines and BioNTech into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Nok Airlines Public and BioNTech SE, you can compare the effects of market volatilities on Nok Airlines and BioNTech 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 Nok Airlines with a short position of BioNTech. Check out your portfolio center. Please also check ongoing floating volatility patterns of Nok Airlines and BioNTech.
Diversification Opportunities for Nok Airlines and BioNTech
0.0 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Nok and BioNTech is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Nok Airlines Public and BioNTech SE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BioNTech SE and Nok Airlines 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 Nok Airlines Public are associated (or correlated) with BioNTech. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BioNTech SE has no effect on the direction of Nok Airlines i.e., Nok Airlines and BioNTech go up and down completely randomly.
Pair Corralation between Nok Airlines and BioNTech
If you would invest 9,207 in BioNTech SE on March 19, 2024 and sell it today you would earn a total of 1.00 from holding BioNTech SE or generate 0.01% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Flat |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Nok Airlines Public vs. BioNTech SE
Performance |
Timeline |
Nok Airlines Public |
BioNTech SE |
Nok Airlines and BioNTech Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Nok Airlines and BioNTech
The main advantage of trading using opposite Nok Airlines and BioNTech positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Nok Airlines position performs unexpectedly, BioNTech 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 BioNTech will offset losses from the drop in BioNTech's long position.Nok Airlines vs. Cebu Air | Nok Airlines vs. Air France KLM SA | Nok Airlines vs. easyJet plc | Nok Airlines vs. Norse Atlantic ASA |
BioNTech vs. Apellis Pharmaceuticals | BioNTech vs. Day One Biopharmaceuticals | BioNTech vs. Acumen Pharmaceuticals | BioNTech vs. X4 Pharmaceuticals |
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 Funds Screener module to find actively-traded funds from around the world traded on over 30 global exchanges.
Other Complementary Tools
Latest Portfolios Quick portfolio dashboard that showcases your latest portfolios | |
Bond Analysis Evaluate and analyze corporate bonds as a potential investment for your portfolios. | |
Analyst Advice Analyst recommendations and target price estimates broken down by several categories | |
Money Managers Screen money managers from public funds and ETFs managed around the world | |
Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges |