Correlation Between Sany Heavy and Hitachi Construction
Can any of the company-specific risk be diversified away by investing in both Sany Heavy and Hitachi Construction 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 Sany Heavy and Hitachi Construction into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sany Heavy Equipment and Hitachi Construction Machinery, you can compare the effects of market volatilities on Sany Heavy and Hitachi Construction 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 Sany Heavy with a short position of Hitachi Construction. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sany Heavy and Hitachi Construction.
Diversification Opportunities for Sany Heavy and Hitachi Construction
-0.01 | Correlation Coefficient |
Good diversification
The 3 months correlation between Sany and Hitachi is -0.01. Overlapping area represents the amount of risk that can be diversified away by holding Sany Heavy Equipment and Hitachi Construction Machinery in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hitachi Construction and Sany Heavy 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 Sany Heavy Equipment are associated (or correlated) with Hitachi Construction. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hitachi Construction has no effect on the direction of Sany Heavy i.e., Sany Heavy and Hitachi Construction go up and down completely randomly.
Pair Corralation between Sany Heavy and Hitachi Construction
Assuming the 90 days horizon Sany Heavy Equipment is expected to generate 2.17 times more return on investment than Hitachi Construction. However, Sany Heavy is 2.17 times more volatile than Hitachi Construction Machinery. It trades about 0.07 of its potential returns per unit of risk. Hitachi Construction Machinery is currently generating about 0.0 per unit of risk. If you would invest 51.00 in Sany Heavy Equipment on September 4, 2024 and sell it today you would earn a total of 8.00 from holding Sany Heavy Equipment or generate 15.69% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.46% |
Values | Daily Returns |
Sany Heavy Equipment vs. Hitachi Construction Machinery
Performance |
Timeline |
Sany Heavy Equipment |
Hitachi Construction |
Sany Heavy and Hitachi Construction Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sany Heavy and Hitachi Construction
The main advantage of trading using opposite Sany Heavy and Hitachi Construction positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sany Heavy position performs unexpectedly, Hitachi Construction 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 Hitachi Construction will offset losses from the drop in Hitachi Construction's long position.Sany Heavy vs. Komatsu | Sany Heavy vs. CNH Industrial NV | Sany Heavy vs. KUBOTA P ADR20 | Sany Heavy vs. Hitachi Construction Machinery |
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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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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