Correlation Between Thungela Resources and Capitec Bank
Can any of the company-specific risk be diversified away by investing in both Thungela Resources and Capitec Bank 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 Thungela Resources and Capitec Bank into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Thungela Resources Limited and Capitec Bank Holdings, you can compare the effects of market volatilities on Thungela Resources and Capitec Bank 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 Thungela Resources with a short position of Capitec Bank. Check out your portfolio center. Please also check ongoing floating volatility patterns of Thungela Resources and Capitec Bank.
Diversification Opportunities for Thungela Resources and Capitec Bank
-0.34 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Thungela and Capitec is -0.34. Overlapping area represents the amount of risk that can be diversified away by holding Thungela Resources Limited and Capitec Bank Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Capitec Bank Holdings and Thungela Resources 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 Thungela Resources Limited are associated (or correlated) with Capitec Bank. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Capitec Bank Holdings has no effect on the direction of Thungela Resources i.e., Thungela Resources and Capitec Bank go up and down completely randomly.
Pair Corralation between Thungela Resources and Capitec Bank
Assuming the 90 days trading horizon Thungela Resources Limited is expected to under-perform the Capitec Bank. In addition to that, Thungela Resources is 1.62 times more volatile than Capitec Bank Holdings. It trades about -0.12 of its total potential returns per unit of risk. Capitec Bank Holdings is currently generating about 0.01 per unit of volatility. If you would invest 31,299,100 in Capitec Bank Holdings on December 29, 2024 and sell it today you would lose (26,200) from holding Capitec Bank Holdings or give up 0.08% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Thungela Resources Limited vs. Capitec Bank Holdings
Performance |
Timeline |
Thungela Resources |
Capitec Bank Holdings |
Thungela Resources and Capitec Bank Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Thungela Resources and Capitec Bank
The main advantage of trading using opposite Thungela Resources and Capitec Bank positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Thungela Resources position performs unexpectedly, Capitec Bank 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 Capitec Bank will offset losses from the drop in Capitec Bank's long position.Thungela Resources vs. Life Healthcare | Thungela Resources vs. Europa Metals | Thungela Resources vs. ABSA Bank Limited | Thungela Resources vs. Standard Bank Group |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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