Correlation Between Internet Thailand and CompuGroup Medical
Can any of the company-specific risk be diversified away by investing in both Internet Thailand and CompuGroup Medical 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 Internet Thailand and CompuGroup Medical into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Internet Thailand PCL and CompuGroup Medical SE, you can compare the effects of market volatilities on Internet Thailand and CompuGroup Medical 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 Internet Thailand with a short position of CompuGroup Medical. Check out your portfolio center. Please also check ongoing floating volatility patterns of Internet Thailand and CompuGroup Medical.
Diversification Opportunities for Internet Thailand and CompuGroup Medical
0.59 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Internet and CompuGroup is 0.59. Overlapping area represents the amount of risk that can be diversified away by holding Internet Thailand PCL and CompuGroup Medical SE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CompuGroup Medical and Internet Thailand 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 Internet Thailand PCL are associated (or correlated) with CompuGroup Medical. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CompuGroup Medical has no effect on the direction of Internet Thailand i.e., Internet Thailand and CompuGroup Medical go up and down completely randomly.
Pair Corralation between Internet Thailand and CompuGroup Medical
Assuming the 90 days trading horizon Internet Thailand is expected to generate 1.04 times less return on investment than CompuGroup Medical. In addition to that, Internet Thailand is 1.04 times more volatile than CompuGroup Medical SE. It trades about 0.15 of its total potential returns per unit of risk. CompuGroup Medical SE is currently generating about 0.17 per unit of volatility. If you would invest 1,398 in CompuGroup Medical SE on September 19, 2024 and sell it today you would earn a total of 764.00 from holding CompuGroup Medical SE or generate 54.65% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Internet Thailand PCL vs. CompuGroup Medical SE
Performance |
Timeline |
Internet Thailand PCL |
CompuGroup Medical |
Internet Thailand and CompuGroup Medical Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Internet Thailand and CompuGroup Medical
The main advantage of trading using opposite Internet Thailand and CompuGroup Medical positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Internet Thailand position performs unexpectedly, CompuGroup Medical 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 CompuGroup Medical will offset losses from the drop in CompuGroup Medical's long position.Internet Thailand vs. Apple Inc | Internet Thailand vs. Apple Inc | Internet Thailand vs. Apple Inc | Internet Thailand vs. Apple Inc |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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