Correlation Between Central Retail and Srinanaporn Marketing
Can any of the company-specific risk be diversified away by investing in both Central Retail and Srinanaporn Marketing 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 Central Retail and Srinanaporn Marketing into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Central Retail and Srinanaporn Marketing Public, you can compare the effects of market volatilities on Central Retail and Srinanaporn Marketing 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 Central Retail with a short position of Srinanaporn Marketing. Check out your portfolio center. Please also check ongoing floating volatility patterns of Central Retail and Srinanaporn Marketing.
Diversification Opportunities for Central Retail and Srinanaporn Marketing
-0.09 | Correlation Coefficient |
Good diversification
The 3 months correlation between Central and Srinanaporn is -0.09. Overlapping area represents the amount of risk that can be diversified away by holding Central Retail and Srinanaporn Marketing Public in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Srinanaporn Marketing and Central Retail 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 Central Retail are associated (or correlated) with Srinanaporn Marketing. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Srinanaporn Marketing has no effect on the direction of Central Retail i.e., Central Retail and Srinanaporn Marketing go up and down completely randomly.
Pair Corralation between Central Retail and Srinanaporn Marketing
Assuming the 90 days trading horizon Central Retail is expected to generate 0.87 times more return on investment than Srinanaporn Marketing. However, Central Retail is 1.15 times less risky than Srinanaporn Marketing. It trades about -0.02 of its potential returns per unit of risk. Srinanaporn Marketing Public is currently generating about -0.08 per unit of risk. If you would invest 4,006 in Central Retail on August 31, 2024 and sell it today you would lose (656.00) from holding Central Retail or give up 16.38% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Central Retail vs. Srinanaporn Marketing Public
Performance |
Timeline |
Central Retail |
Srinanaporn Marketing |
Central Retail and Srinanaporn Marketing Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Central Retail and Srinanaporn Marketing
The main advantage of trading using opposite Central Retail and Srinanaporn Marketing positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Central Retail position performs unexpectedly, Srinanaporn Marketing 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 Srinanaporn Marketing will offset losses from the drop in Srinanaporn Marketing's long position.Central Retail vs. Saksiam Leasing Public | Central Retail vs. Interlink Telecom Public | Central Retail vs. Asia Sermkij Leasing | Central Retail vs. Hydrogen Freehold Leasehold |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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