Correlation Between Sims Metal and Hastings Technology
Can any of the company-specific risk be diversified away by investing in both Sims Metal and Hastings Technology 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 Sims Metal and Hastings Technology into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sims Metal Management and Hastings Technology Metals, you can compare the effects of market volatilities on Sims Metal and Hastings Technology 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 Sims Metal with a short position of Hastings Technology. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sims Metal and Hastings Technology.
Diversification Opportunities for Sims Metal and Hastings Technology
0.04 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Sims and Hastings is 0.04. Overlapping area represents the amount of risk that can be diversified away by holding Sims Metal Management and Hastings Technology Metals in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hastings Technology and Sims Metal 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 Sims Metal Management are associated (or correlated) with Hastings Technology. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hastings Technology has no effect on the direction of Sims Metal i.e., Sims Metal and Hastings Technology go up and down completely randomly.
Pair Corralation between Sims Metal and Hastings Technology
Assuming the 90 days horizon Sims Metal Management is expected to generate 0.37 times more return on investment than Hastings Technology. However, Sims Metal Management is 2.69 times less risky than Hastings Technology. It trades about 0.21 of its potential returns per unit of risk. Hastings Technology Metals is currently generating about 0.01 per unit of risk. If you would invest 695.00 in Sims Metal Management on December 29, 2024 and sell it today you would earn a total of 180.00 from holding Sims Metal Management or generate 25.9% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Sims Metal Management vs. Hastings Technology Metals
Performance |
Timeline |
Sims Metal Management |
Hastings Technology |
Sims Metal and Hastings Technology Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sims Metal and Hastings Technology
The main advantage of trading using opposite Sims Metal and Hastings Technology positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sims Metal position performs unexpectedly, Hastings Technology 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 Hastings Technology will offset losses from the drop in Hastings Technology's long position.Sims Metal vs. MOVIE GAMES SA | Sims Metal vs. GOODYEAR T RUBBER | Sims Metal vs. CI GAMES SA | Sims Metal vs. GAMES OPERATORS SA |
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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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