Correlation Between Nok Airlines and Signature Bank
Can any of the company-specific risk be diversified away by investing in both Nok Airlines and Signature Bank 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 Signature Bank 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 Signature Bank, you can compare the effects of market volatilities on Nok Airlines and Signature Bank 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 Signature Bank. Check out your portfolio center. Please also check ongoing floating volatility patterns of Nok Airlines and Signature Bank.
Diversification Opportunities for Nok Airlines and Signature Bank
0.0 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Nok and Signature is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Nok Airlines Public and Signature Bank in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Signature Bank 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 Signature Bank. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Signature Bank has no effect on the direction of Nok Airlines i.e., Nok Airlines and Signature Bank go up and down completely randomly.
Pair Corralation between Nok Airlines and Signature Bank
If you would invest 1.70 in Signature Bank on October 10, 2024 and sell it today you would earn a total of 0.00 from holding Signature Bank or generate 0.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Flat |
Strength | Insignificant |
Accuracy | 5.0% |
Values | Daily Returns |
Nok Airlines Public vs. Signature Bank
Performance |
Timeline |
Nok Airlines Public |
Signature Bank |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
Nok Airlines and Signature Bank Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Nok Airlines and Signature Bank
The main advantage of trading using opposite Nok Airlines and Signature Bank positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Nok Airlines position performs unexpectedly, Signature Bank 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 Signature Bank will offset losses from the drop in Signature Bank's long position.The idea behind Nok Airlines Public and Signature Bank pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.Signature Bank vs. ZhongAn Online P | Signature Bank vs. Fluent Inc | Signature Bank vs. Nok Airlines Public | Signature Bank vs. flyExclusive, |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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