Correlation Between KPJ Healthcare and British American
Can any of the company-specific risk be diversified away by investing in both KPJ Healthcare and British American 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 KPJ Healthcare and British American into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between KPJ Healthcare Bhd and British American Tobacco, you can compare the effects of market volatilities on KPJ Healthcare and British American 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 KPJ Healthcare with a short position of British American. Check out your portfolio center. Please also check ongoing floating volatility patterns of KPJ Healthcare and British American.
Diversification Opportunities for KPJ Healthcare and British American
0.15 | Correlation Coefficient |
Average diversification
The 3 months correlation between KPJ and British is 0.15. Overlapping area represents the amount of risk that can be diversified away by holding KPJ Healthcare Bhd and British American Tobacco in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on British American Tobacco and KPJ Healthcare 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 KPJ Healthcare Bhd are associated (or correlated) with British American. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of British American Tobacco has no effect on the direction of KPJ Healthcare i.e., KPJ Healthcare and British American go up and down completely randomly.
Pair Corralation between KPJ Healthcare and British American
Assuming the 90 days trading horizon KPJ Healthcare Bhd is expected to generate 1.05 times more return on investment than British American. However, KPJ Healthcare is 1.05 times more volatile than British American Tobacco. It trades about 0.12 of its potential returns per unit of risk. British American Tobacco is currently generating about -0.01 per unit of risk. If you would invest 207.00 in KPJ Healthcare Bhd on September 26, 2024 and sell it today you would earn a total of 28.00 from holding KPJ Healthcare Bhd or generate 13.53% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
KPJ Healthcare Bhd vs. British American Tobacco
Performance |
Timeline |
KPJ Healthcare Bhd |
British American Tobacco |
KPJ Healthcare and British American Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with KPJ Healthcare and British American
The main advantage of trading using opposite KPJ Healthcare and British American positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if KPJ Healthcare position performs unexpectedly, British American 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 British American will offset losses from the drop in British American's long position.KPJ Healthcare vs. IHH Healthcare Bhd | KPJ Healthcare vs. Lyc Healthcare Bhd | KPJ Healthcare vs. ITMAX System Berhad | KPJ Healthcare vs. Nexgram Holdings Bhd |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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