Correlation Between Bangkok Bank and NC Housing
Can any of the company-specific risk be diversified away by investing in both Bangkok Bank and NC Housing 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 Bangkok Bank and NC Housing into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bangkok Bank Public and NC Housing Public, you can compare the effects of market volatilities on Bangkok Bank and NC Housing 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 Bangkok Bank with a short position of NC Housing. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bangkok Bank and NC Housing.
Diversification Opportunities for Bangkok Bank and NC Housing
0.49 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Bangkok and NCH is 0.49. Overlapping area represents the amount of risk that can be diversified away by holding Bangkok Bank Public and NC Housing Public in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on NC Housing Public and Bangkok Bank 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 Bangkok Bank Public are associated (or correlated) with NC Housing. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of NC Housing Public has no effect on the direction of Bangkok Bank i.e., Bangkok Bank and NC Housing go up and down completely randomly.
Pair Corralation between Bangkok Bank and NC Housing
Assuming the 90 days trading horizon Bangkok Bank Public is expected to generate 1.0 times more return on investment than NC Housing. However, Bangkok Bank is 1.0 times more volatile than NC Housing Public. It trades about 0.05 of its potential returns per unit of risk. NC Housing Public is currently generating about -0.18 per unit of risk. If you would invest 14,850 in Bangkok Bank Public on September 24, 2024 and sell it today you would earn a total of 100.00 from holding Bangkok Bank Public or generate 0.67% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Bangkok Bank Public vs. NC Housing Public
Performance |
Timeline |
Bangkok Bank Public |
NC Housing Public |
Bangkok Bank and NC Housing Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bangkok Bank and NC Housing
The main advantage of trading using opposite Bangkok Bank and NC Housing positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bangkok Bank position performs unexpectedly, NC Housing 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 NC Housing will offset losses from the drop in NC Housing's long position.Bangkok Bank vs. SCB X Public | Bangkok Bank vs. Kasikornbank Public | Bangkok Bank vs. PTT Public | Bangkok Bank vs. The Siam Cement |
NC Housing vs. Bangkok Bank Public | NC Housing vs. The Siam Cement | NC Housing vs. PTT Public | NC Housing vs. SCB X Public |
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.
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