Correlation Between Dexus Convenience and TTG Fintech
Can any of the company-specific risk be diversified away by investing in both Dexus Convenience and TTG Fintech 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 Dexus Convenience and TTG Fintech into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dexus Convenience Retail and TTG Fintech, you can compare the effects of market volatilities on Dexus Convenience and TTG Fintech 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 Dexus Convenience with a short position of TTG Fintech. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dexus Convenience and TTG Fintech.
Diversification Opportunities for Dexus Convenience and TTG Fintech
0.11 | Correlation Coefficient |
Average diversification
The 3 months correlation between Dexus and TTG is 0.11. Overlapping area represents the amount of risk that can be diversified away by holding Dexus Convenience Retail and TTG Fintech in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on TTG Fintech and Dexus Convenience 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 Dexus Convenience Retail are associated (or correlated) with TTG Fintech. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of TTG Fintech has no effect on the direction of Dexus Convenience i.e., Dexus Convenience and TTG Fintech go up and down completely randomly.
Pair Corralation between Dexus Convenience and TTG Fintech
Assuming the 90 days trading horizon Dexus Convenience Retail is expected to under-perform the TTG Fintech. But the stock apears to be less risky and, when comparing its historical volatility, Dexus Convenience Retail is 6.83 times less risky than TTG Fintech. The stock trades about -0.01 of its potential returns per unit of risk. The TTG Fintech is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 0.60 in TTG Fintech on October 8, 2024 and sell it today you would earn a total of 0.10 from holding TTG Fintech or generate 16.67% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Dexus Convenience Retail vs. TTG Fintech
Performance |
Timeline |
Dexus Convenience Retail |
TTG Fintech |
Dexus Convenience and TTG Fintech Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dexus Convenience and TTG Fintech
The main advantage of trading using opposite Dexus Convenience and TTG Fintech positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dexus Convenience position performs unexpectedly, TTG Fintech 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 TTG Fintech will offset losses from the drop in TTG Fintech's long position.Dexus Convenience vs. Lykos Metals | Dexus Convenience vs. Epsilon Healthcare | Dexus Convenience vs. Aeon Metals | Dexus Convenience vs. FireFly Metals |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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