Correlation Between Namwiwat Medical and KGI Securities
Can any of the company-specific risk be diversified away by investing in both Namwiwat Medical and KGI Securities 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 Namwiwat Medical and KGI Securities into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Namwiwat Medical and KGI Securities Public, you can compare the effects of market volatilities on Namwiwat Medical and KGI Securities 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 Namwiwat Medical with a short position of KGI Securities. Check out your portfolio center. Please also check ongoing floating volatility patterns of Namwiwat Medical and KGI Securities.
Diversification Opportunities for Namwiwat Medical and KGI Securities
-0.2 | Correlation Coefficient |
Good diversification
The 3 months correlation between Namwiwat and KGI is -0.2. Overlapping area represents the amount of risk that can be diversified away by holding Namwiwat Medical and KGI Securities Public in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on KGI Securities Public and Namwiwat Medical 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 Namwiwat Medical are associated (or correlated) with KGI Securities. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of KGI Securities Public has no effect on the direction of Namwiwat Medical i.e., Namwiwat Medical and KGI Securities go up and down completely randomly.
Pair Corralation between Namwiwat Medical and KGI Securities
Assuming the 90 days trading horizon Namwiwat Medical is expected to under-perform the KGI Securities. In addition to that, Namwiwat Medical is 2.49 times more volatile than KGI Securities Public. It trades about -0.01 of its total potential returns per unit of risk. KGI Securities Public is currently generating about 0.15 per unit of volatility. If you would invest 414.00 in KGI Securities Public on December 22, 2024 and sell it today you would earn a total of 24.00 from holding KGI Securities Public or generate 5.8% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Namwiwat Medical vs. KGI Securities Public
Performance |
Timeline |
Namwiwat Medical |
KGI Securities Public |
Namwiwat Medical and KGI Securities Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Namwiwat Medical and KGI Securities
The main advantage of trading using opposite Namwiwat Medical and KGI Securities positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Namwiwat Medical position performs unexpectedly, KGI Securities 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 KGI Securities will offset losses from the drop in KGI Securities' long position.Namwiwat Medical vs. Global Green Chemicals | Namwiwat Medical vs. City Sports and | Namwiwat Medical vs. Siam Steel Service | Namwiwat Medical vs. Tata Steel 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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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