Correlation Between Thungela Resources and Dow Jones
Can any of the company-specific risk be diversified away by investing in both Thungela Resources and Dow Jones 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 Dow Jones 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 Dow Jones Industrial, you can compare the effects of market volatilities on Thungela Resources and Dow Jones 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 Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of Thungela Resources and Dow Jones.
Diversification Opportunities for Thungela Resources and Dow Jones
0.51 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Thungela and Dow is 0.51. Overlapping area represents the amount of risk that can be diversified away by holding Thungela Resources Limited and Dow Jones Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dow Jones Industrial 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 Dow Jones. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dow Jones Industrial has no effect on the direction of Thungela Resources i.e., Thungela Resources and Dow Jones go up and down completely randomly.
Pair Corralation between Thungela Resources and Dow Jones
Assuming the 90 days trading horizon Thungela Resources Limited is expected to generate 2.53 times more return on investment than Dow Jones. However, Thungela Resources is 2.53 times more volatile than Dow Jones Industrial. It trades about 0.18 of its potential returns per unit of risk. Dow Jones Industrial is currently generating about 0.03 per unit of risk. If you would invest 1,069,300 in Thungela Resources Limited on September 24, 2024 and sell it today you would earn a total of 265,200 from holding Thungela Resources Limited or generate 24.8% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 98.44% |
Values | Daily Returns |
Thungela Resources Limited vs. Dow Jones Industrial
Performance |
Timeline |
Thungela Resources and Dow Jones Volatility Contrast
Predicted Return Density |
Returns |
Thungela Resources Limited
Pair trading matchups for Thungela Resources
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with Thungela Resources and Dow Jones
The main advantage of trading using opposite Thungela Resources and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Thungela Resources position performs unexpectedly, Dow Jones 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 Dow Jones will offset losses from the drop in Dow Jones' long position.Thungela Resources vs. Exxaro Resources | Thungela Resources vs. MC Mining | Thungela Resources vs. Afine Investments | Thungela Resources vs. Capitec Bank Holdings |
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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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