Correlation Between Singapore Reinsurance and Halliburton
Can any of the company-specific risk be diversified away by investing in both Singapore Reinsurance and Halliburton 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 Singapore Reinsurance and Halliburton into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Singapore Reinsurance and Halliburton, you can compare the effects of market volatilities on Singapore Reinsurance and Halliburton 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 Singapore Reinsurance with a short position of Halliburton. Check out your portfolio center. Please also check ongoing floating volatility patterns of Singapore Reinsurance and Halliburton.
Diversification Opportunities for Singapore Reinsurance and Halliburton
0.32 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Singapore and Halliburton is 0.32. Overlapping area represents the amount of risk that can be diversified away by holding Singapore Reinsurance and Halliburton in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Halliburton and Singapore Reinsurance 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 Singapore Reinsurance are associated (or correlated) with Halliburton. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Halliburton has no effect on the direction of Singapore Reinsurance i.e., Singapore Reinsurance and Halliburton go up and down completely randomly.
Pair Corralation between Singapore Reinsurance and Halliburton
Assuming the 90 days trading horizon Singapore Reinsurance is expected to generate 1.09 times more return on investment than Halliburton. However, Singapore Reinsurance is 1.09 times more volatile than Halliburton. It trades about 0.12 of its potential returns per unit of risk. Halliburton is currently generating about -0.04 per unit of risk. If you would invest 3,000 in Singapore Reinsurance on October 11, 2024 and sell it today you would earn a total of 500.00 from holding Singapore Reinsurance or generate 16.67% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Singapore Reinsurance vs. Halliburton
Performance |
Timeline |
Singapore Reinsurance |
Halliburton |
Singapore Reinsurance and Halliburton Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Singapore Reinsurance and Halliburton
The main advantage of trading using opposite Singapore Reinsurance and Halliburton positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Singapore Reinsurance position performs unexpectedly, Halliburton 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 Halliburton will offset losses from the drop in Halliburton's long position.Singapore Reinsurance vs. Compagnie Plastic Omnium | Singapore Reinsurance vs. APPLIED MATERIALS | Singapore Reinsurance vs. Martin Marietta Materials | Singapore Reinsurance vs. SANOK RUBBER ZY |
Halliburton vs. GOLD ROAD RES | Halliburton vs. CanSino Biologics | Halliburton vs. TITANIUM TRANSPORTGROUP | Halliburton vs. SAFEROADS HLDGS |
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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