Correlation Between Bisalloy Steel and Sims
Can any of the company-specific risk be diversified away by investing in both Bisalloy Steel and Sims 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 Bisalloy Steel and Sims into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bisalloy Steel Group and Sims, you can compare the effects of market volatilities on Bisalloy Steel and Sims 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 Bisalloy Steel with a short position of Sims. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bisalloy Steel and Sims.
Diversification Opportunities for Bisalloy Steel and Sims
-0.67 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Bisalloy and Sims is -0.67. Overlapping area represents the amount of risk that can be diversified away by holding Bisalloy Steel Group and Sims in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sims and Bisalloy Steel 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 Bisalloy Steel Group are associated (or correlated) with Sims. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sims has no effect on the direction of Bisalloy Steel i.e., Bisalloy Steel and Sims go up and down completely randomly.
Pair Corralation between Bisalloy Steel and Sims
Assuming the 90 days trading horizon Bisalloy Steel Group is expected to under-perform the Sims. In addition to that, Bisalloy Steel is 1.73 times more volatile than Sims. It trades about -0.12 of its total potential returns per unit of risk. Sims is currently generating about 0.26 per unit of volatility. If you would invest 1,181 in Sims on December 22, 2024 and sell it today you would earn a total of 361.00 from holding Sims or generate 30.57% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Bisalloy Steel Group vs. Sims
Performance |
Timeline |
Bisalloy Steel Group |
Sims |
Bisalloy Steel and Sims Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bisalloy Steel and Sims
The main advantage of trading using opposite Bisalloy Steel and Sims positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bisalloy Steel position performs unexpectedly, Sims 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 Sims will offset losses from the drop in Sims' long position.Bisalloy Steel vs. Lendlease Group | Bisalloy Steel vs. Djerriwarrh Investments | Bisalloy Steel vs. Microequities Asset Management | Bisalloy Steel vs. REGAL ASIAN INVESTMENTS |
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 Commodity Channel module to use Commodity Channel Index to analyze current equity momentum.
Other Complementary Tools
Funds Screener Find actively-traded funds from around the world traded on over 30 global exchanges | |
Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
ETFs Find actively traded Exchange Traded Funds (ETF) from around the world | |
Piotroski F Score Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals | |
Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm |