Correlation Between Newcity Public and Nawarat Patanakarn
Can any of the company-specific risk be diversified away by investing in both Newcity Public and Nawarat Patanakarn 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 Newcity Public and Nawarat Patanakarn into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Newcity Public and Nawarat Patanakarn Public, you can compare the effects of market volatilities on Newcity Public and Nawarat Patanakarn 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 Newcity Public with a short position of Nawarat Patanakarn. Check out your portfolio center. Please also check ongoing floating volatility patterns of Newcity Public and Nawarat Patanakarn.
Diversification Opportunities for Newcity Public and Nawarat Patanakarn
0.9 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Newcity and Nawarat is 0.9. Overlapping area represents the amount of risk that can be diversified away by holding Newcity Public and Nawarat Patanakarn Public in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Nawarat Patanakarn Public and Newcity Public 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 Newcity Public are associated (or correlated) with Nawarat Patanakarn. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Nawarat Patanakarn Public has no effect on the direction of Newcity Public i.e., Newcity Public and Nawarat Patanakarn go up and down completely randomly.
Pair Corralation between Newcity Public and Nawarat Patanakarn
Assuming the 90 days horizon Newcity Public is expected to under-perform the Nawarat Patanakarn. In addition to that, Newcity Public is 1.15 times more volatile than Nawarat Patanakarn Public. It trades about -0.18 of its total potential returns per unit of risk. Nawarat Patanakarn Public is currently generating about -0.2 per unit of volatility. If you would invest 23.00 in Nawarat Patanakarn Public on October 20, 2024 and sell it today you would lose (9.00) from holding Nawarat Patanakarn Public or give up 39.13% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 98.36% |
Values | Daily Returns |
Newcity Public vs. Nawarat Patanakarn Public
Performance |
Timeline |
Newcity Public |
Nawarat Patanakarn Public |
Newcity Public and Nawarat Patanakarn Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Newcity Public and Nawarat Patanakarn
The main advantage of trading using opposite Newcity Public and Nawarat Patanakarn positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Newcity Public position performs unexpectedly, Nawarat Patanakarn 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 Nawarat Patanakarn will offset losses from the drop in Nawarat Patanakarn's long position.Newcity Public vs. Saha Pathana Inter Holding | Newcity Public vs. Berli Jucker Public | Newcity Public vs. Quality Houses Public | Newcity Public vs. President Bakery Public |
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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 Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.
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