Correlation Between Sanyo Chemical and Hyster-Yale Materials
Can any of the company-specific risk be diversified away by investing in both Sanyo Chemical and Hyster-Yale Materials 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 Sanyo Chemical and Hyster-Yale Materials into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sanyo Chemical Industries and Hyster Yale Materials Handling, you can compare the effects of market volatilities on Sanyo Chemical and Hyster-Yale Materials 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 Sanyo Chemical with a short position of Hyster-Yale Materials. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sanyo Chemical and Hyster-Yale Materials.
Diversification Opportunities for Sanyo Chemical and Hyster-Yale Materials
0.47 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Sanyo and Hyster-Yale is 0.47. Overlapping area represents the amount of risk that can be diversified away by holding Sanyo Chemical Industries and Hyster Yale Materials Handling in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hyster Yale Materials and Sanyo Chemical 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 Sanyo Chemical Industries are associated (or correlated) with Hyster-Yale Materials. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hyster Yale Materials has no effect on the direction of Sanyo Chemical i.e., Sanyo Chemical and Hyster-Yale Materials go up and down completely randomly.
Pair Corralation between Sanyo Chemical and Hyster-Yale Materials
Assuming the 90 days horizon Sanyo Chemical Industries is expected to generate 0.61 times more return on investment than Hyster-Yale Materials. However, Sanyo Chemical Industries is 1.64 times less risky than Hyster-Yale Materials. It trades about -0.19 of its potential returns per unit of risk. Hyster Yale Materials Handling is currently generating about -0.14 per unit of risk. If you would invest 2,500 in Sanyo Chemical Industries on October 10, 2024 and sell it today you would lose (100.00) from holding Sanyo Chemical Industries or give up 4.0% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 94.44% |
Values | Daily Returns |
Sanyo Chemical Industries vs. Hyster Yale Materials Handling
Performance |
Timeline |
Sanyo Chemical Industries |
Hyster Yale Materials |
Sanyo Chemical and Hyster-Yale Materials Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sanyo Chemical and Hyster-Yale Materials
The main advantage of trading using opposite Sanyo Chemical and Hyster-Yale Materials positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sanyo Chemical position performs unexpectedly, Hyster-Yale Materials 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 Hyster-Yale Materials will offset losses from the drop in Hyster-Yale Materials' long position.Sanyo Chemical vs. GEAR4MUSIC LS 10 | Sanyo Chemical vs. ARISTOCRAT LEISURE | Sanyo Chemical vs. Gaztransport Technigaz SA | Sanyo Chemical vs. PLAYWAY SA ZY 10 |
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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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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