Correlation Between Bumrungrad Hospital and UNIQA INSURANCE
Can any of the company-specific risk be diversified away by investing in both Bumrungrad Hospital and UNIQA INSURANCE 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 Bumrungrad Hospital and UNIQA INSURANCE into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bumrungrad Hospital Public and UNIQA INSURANCE GR, you can compare the effects of market volatilities on Bumrungrad Hospital and UNIQA INSURANCE 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 Bumrungrad Hospital with a short position of UNIQA INSURANCE. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bumrungrad Hospital and UNIQA INSURANCE.
Diversification Opportunities for Bumrungrad Hospital and UNIQA INSURANCE
0.09 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Bumrungrad and UNIQA is 0.09. Overlapping area represents the amount of risk that can be diversified away by holding Bumrungrad Hospital Public and UNIQA INSURANCE GR in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on UNIQA INSURANCE GR and Bumrungrad Hospital 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 Bumrungrad Hospital Public are associated (or correlated) with UNIQA INSURANCE. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of UNIQA INSURANCE GR has no effect on the direction of Bumrungrad Hospital i.e., Bumrungrad Hospital and UNIQA INSURANCE go up and down completely randomly.
Pair Corralation between Bumrungrad Hospital and UNIQA INSURANCE
Assuming the 90 days trading horizon Bumrungrad Hospital Public is expected to under-perform the UNIQA INSURANCE. In addition to that, Bumrungrad Hospital is 1.97 times more volatile than UNIQA INSURANCE GR. It trades about -0.04 of its total potential returns per unit of risk. UNIQA INSURANCE GR is currently generating about 0.37 per unit of volatility. If you would invest 711.00 in UNIQA INSURANCE GR on September 28, 2024 and sell it today you would earn a total of 55.00 from holding UNIQA INSURANCE GR or generate 7.74% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 95.24% |
Values | Daily Returns |
Bumrungrad Hospital Public vs. UNIQA INSURANCE GR
Performance |
Timeline |
Bumrungrad Hospital |
UNIQA INSURANCE GR |
Bumrungrad Hospital and UNIQA INSURANCE Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bumrungrad Hospital and UNIQA INSURANCE
The main advantage of trading using opposite Bumrungrad Hospital and UNIQA INSURANCE positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bumrungrad Hospital position performs unexpectedly, UNIQA INSURANCE 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 UNIQA INSURANCE will offset losses from the drop in UNIQA INSURANCE's long position.Bumrungrad Hospital vs. Ramsay Health Care | Bumrungrad Hospital vs. Medicover AB | Bumrungrad Hospital vs. Charoen Pokphand Foods |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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