Correlation Between Wattana Karnpaet and Newcity Public
Can any of the company-specific risk be diversified away by investing in both Wattana Karnpaet and Newcity Public 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 Wattana Karnpaet and Newcity Public into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Wattana Karnpaet Public and Newcity Public, you can compare the effects of market volatilities on Wattana Karnpaet and Newcity Public 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 Wattana Karnpaet with a short position of Newcity Public. Check out your portfolio center. Please also check ongoing floating volatility patterns of Wattana Karnpaet and Newcity Public.
Diversification Opportunities for Wattana Karnpaet and Newcity Public
-0.3 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Wattana and Newcity is -0.3. Overlapping area represents the amount of risk that can be diversified away by holding Wattana Karnpaet Public and Newcity Public in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Newcity Public and Wattana Karnpaet 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 Wattana Karnpaet Public are associated (or correlated) with Newcity Public. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Newcity Public has no effect on the direction of Wattana Karnpaet i.e., Wattana Karnpaet and Newcity Public go up and down completely randomly.
Pair Corralation between Wattana Karnpaet and Newcity Public
Assuming the 90 days trading horizon Wattana Karnpaet Public is expected to generate 1.48 times more return on investment than Newcity Public. However, Wattana Karnpaet is 1.48 times more volatile than Newcity Public. It trades about 0.11 of its potential returns per unit of risk. Newcity Public is currently generating about -0.13 per unit of risk. If you would invest 6,225 in Wattana Karnpaet Public on September 15, 2024 and sell it today you would earn a total of 2,075 from holding Wattana Karnpaet Public or generate 33.33% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Wattana Karnpaet Public vs. Newcity Public
Performance |
Timeline |
Wattana Karnpaet Public |
Newcity Public |
Wattana Karnpaet and Newcity Public Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Wattana Karnpaet and Newcity Public
The main advantage of trading using opposite Wattana Karnpaet and Newcity Public positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Wattana Karnpaet position performs unexpectedly, Newcity Public 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 Newcity Public will offset losses from the drop in Newcity Public's long position.Wattana Karnpaet vs. Rajthanee Hospital Public | Wattana Karnpaet vs. Chularat Hospital Public | Wattana Karnpaet vs. Ekachai Medical Care | Wattana Karnpaet vs. Bangkok Chain Hospital |
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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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