Correlation Between BorgWarner and Yuexiu Transport
Can any of the company-specific risk be diversified away by investing in both BorgWarner and Yuexiu Transport 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 BorgWarner and Yuexiu Transport into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between BorgWarner and Yuexiu Transport Infrastructure, you can compare the effects of market volatilities on BorgWarner and Yuexiu Transport 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 BorgWarner with a short position of Yuexiu Transport. Check out your portfolio center. Please also check ongoing floating volatility patterns of BorgWarner and Yuexiu Transport.
Diversification Opportunities for BorgWarner and Yuexiu Transport
-0.37 | Correlation Coefficient |
Very good diversification
The 3 months correlation between BorgWarner and Yuexiu is -0.37. Overlapping area represents the amount of risk that can be diversified away by holding BorgWarner and Yuexiu Transport Infrastructur in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Yuexiu Transport Inf and BorgWarner 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 BorgWarner are associated (or correlated) with Yuexiu Transport. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Yuexiu Transport Inf has no effect on the direction of BorgWarner i.e., BorgWarner and Yuexiu Transport go up and down completely randomly.
Pair Corralation between BorgWarner and Yuexiu Transport
Considering the 90-day investment horizon BorgWarner is expected to under-perform the Yuexiu Transport. But the stock apears to be less risky and, when comparing its historical volatility, BorgWarner is 1.98 times less risky than Yuexiu Transport. The stock trades about -0.08 of its potential returns per unit of risk. The Yuexiu Transport Infrastructure is currently generating about 0.13 of returns per unit of risk over similar time horizon. If you would invest 45.00 in Yuexiu Transport Infrastructure on September 24, 2024 and sell it today you would earn a total of 13.00 from holding Yuexiu Transport Infrastructure or generate 28.89% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.46% |
Values | Daily Returns |
BorgWarner vs. Yuexiu Transport Infrastructur
Performance |
Timeline |
BorgWarner |
Yuexiu Transport Inf |
BorgWarner and Yuexiu Transport Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with BorgWarner and Yuexiu Transport
The main advantage of trading using opposite BorgWarner and Yuexiu Transport positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BorgWarner position performs unexpectedly, Yuexiu Transport 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 Yuexiu Transport will offset losses from the drop in Yuexiu Transport's long position.BorgWarner vs. Ford Motor | BorgWarner vs. General Motors | BorgWarner vs. Goodyear Tire Rubber | BorgWarner vs. Li Auto |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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