Correlation Between Interlink Telecom and Central Retail
Can any of the company-specific risk be diversified away by investing in both Interlink Telecom and Central Retail 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 Interlink Telecom and Central Retail into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Interlink Telecom Public and Central Retail, you can compare the effects of market volatilities on Interlink Telecom and Central Retail 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 Interlink Telecom with a short position of Central Retail. Check out your portfolio center. Please also check ongoing floating volatility patterns of Interlink Telecom and Central Retail.
Diversification Opportunities for Interlink Telecom and Central Retail
-0.4 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Interlink and Central is -0.4. Overlapping area represents the amount of risk that can be diversified away by holding Interlink Telecom Public and Central Retail in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Central Retail and Interlink Telecom 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 Interlink Telecom Public are associated (or correlated) with Central Retail. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Central Retail has no effect on the direction of Interlink Telecom i.e., Interlink Telecom and Central Retail go up and down completely randomly.
Pair Corralation between Interlink Telecom and Central Retail
Assuming the 90 days trading horizon Interlink Telecom Public is expected to under-perform the Central Retail. In addition to that, Interlink Telecom is 1.4 times more volatile than Central Retail. It trades about -0.11 of its total potential returns per unit of risk. Central Retail is currently generating about 0.19 per unit of volatility. If you would invest 3,100 in Central Retail on September 26, 2024 and sell it today you would earn a total of 425.00 from holding Central Retail or generate 13.71% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 97.56% |
Values | Daily Returns |
Interlink Telecom Public vs. Central Retail
Performance |
Timeline |
Interlink Telecom Public |
Central Retail |
Interlink Telecom and Central Retail Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Interlink Telecom and Central Retail
The main advantage of trading using opposite Interlink Telecom and Central Retail positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Interlink Telecom position performs unexpectedly, Central Retail 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 Central Retail will offset losses from the drop in Central Retail's long position.Interlink Telecom vs. True Public | Interlink Telecom vs. Charoen Pokphand Foods | Interlink Telecom vs. The Erawan Group | Interlink Telecom vs. Autocorp Holding 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 Valuation module to check real value of public entities based on technical and fundamental data.
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