Correlation Between Chongqing Machinery and SANOK RUBBER
Can any of the company-specific risk be diversified away by investing in both Chongqing Machinery and SANOK RUBBER 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 Chongqing Machinery and SANOK RUBBER into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Chongqing Machinery Electric and SANOK RUBBER ZY, you can compare the effects of market volatilities on Chongqing Machinery and SANOK RUBBER 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 Chongqing Machinery with a short position of SANOK RUBBER. Check out your portfolio center. Please also check ongoing floating volatility patterns of Chongqing Machinery and SANOK RUBBER.
Diversification Opportunities for Chongqing Machinery and SANOK RUBBER
0.6 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Chongqing and SANOK is 0.6. Overlapping area represents the amount of risk that can be diversified away by holding Chongqing Machinery Electric and SANOK RUBBER ZY in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SANOK RUBBER ZY and Chongqing Machinery 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 Chongqing Machinery Electric are associated (or correlated) with SANOK RUBBER. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SANOK RUBBER ZY has no effect on the direction of Chongqing Machinery i.e., Chongqing Machinery and SANOK RUBBER go up and down completely randomly.
Pair Corralation between Chongqing Machinery and SANOK RUBBER
Assuming the 90 days horizon Chongqing Machinery is expected to generate 1.64 times less return on investment than SANOK RUBBER. In addition to that, Chongqing Machinery is 3.22 times more volatile than SANOK RUBBER ZY. It trades about 0.02 of its total potential returns per unit of risk. SANOK RUBBER ZY is currently generating about 0.08 per unit of volatility. If you would invest 445.00 in SANOK RUBBER ZY on September 17, 2024 and sell it today you would earn a total of 7.00 from holding SANOK RUBBER ZY or generate 1.57% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Chongqing Machinery Electric vs. SANOK RUBBER ZY
Performance |
Timeline |
Chongqing Machinery |
SANOK RUBBER ZY |
Chongqing Machinery and SANOK RUBBER Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Chongqing Machinery and SANOK RUBBER
The main advantage of trading using opposite Chongqing Machinery and SANOK RUBBER positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Chongqing Machinery position performs unexpectedly, SANOK RUBBER 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 SANOK RUBBER will offset losses from the drop in SANOK RUBBER's long position.Chongqing Machinery vs. Schneider Electric SE | Chongqing Machinery vs. Superior Plus Corp | Chongqing Machinery vs. SIVERS SEMICONDUCTORS AB | Chongqing Machinery vs. Norsk Hydro ASA |
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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 Companies Directory module to evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals.
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