Correlation Between Sa Worldwide and Prudential Commodity
Can any of the company-specific risk be diversified away by investing in both Sa Worldwide and Prudential Commodity 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 Sa Worldwide and Prudential Commodity into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sa Worldwide Moderate and Prudential Commodity Strategies, you can compare the effects of market volatilities on Sa Worldwide and Prudential Commodity 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 Sa Worldwide with a short position of Prudential Commodity. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sa Worldwide and Prudential Commodity.
Diversification Opportunities for Sa Worldwide and Prudential Commodity
0.43 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between SAWMX and Prudential is 0.43. Overlapping area represents the amount of risk that can be diversified away by holding Sa Worldwide Moderate and Prudential Commodity Strategie in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Prudential Commodity and Sa Worldwide 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 Sa Worldwide Moderate are associated (or correlated) with Prudential Commodity. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Prudential Commodity has no effect on the direction of Sa Worldwide i.e., Sa Worldwide and Prudential Commodity go up and down completely randomly.
Pair Corralation between Sa Worldwide and Prudential Commodity
Assuming the 90 days horizon Sa Worldwide Moderate is expected to generate 0.91 times more return on investment than Prudential Commodity. However, Sa Worldwide Moderate is 1.09 times less risky than Prudential Commodity. It trades about -0.03 of its potential returns per unit of risk. Prudential Commodity Strategies is currently generating about -0.05 per unit of risk. If you would invest 1,172 in Sa Worldwide Moderate on September 30, 2024 and sell it today you would lose (34.00) from holding Sa Worldwide Moderate or give up 2.9% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Sa Worldwide Moderate vs. Prudential Commodity Strategie
Performance |
Timeline |
Sa Worldwide Moderate |
Prudential Commodity |
Sa Worldwide and Prudential Commodity Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sa Worldwide and Prudential Commodity
The main advantage of trading using opposite Sa Worldwide and Prudential Commodity positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sa Worldwide position performs unexpectedly, Prudential Commodity 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 Prudential Commodity will offset losses from the drop in Prudential Commodity's long position.Sa Worldwide vs. Sa Value | Sa Worldwide vs. Sa Emerging Markets | Sa Worldwide vs. Sa International Small | Sa Worldwide vs. Sa International Value |
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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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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