Correlation Between Guangzhou and Arrow Electronics
Can any of the company-specific risk be diversified away by investing in both Guangzhou and Arrow Electronics 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 Guangzhou and Arrow Electronics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Guangzhou RF Properties and Arrow Electronics, you can compare the effects of market volatilities on Guangzhou and Arrow Electronics 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 Guangzhou with a short position of Arrow Electronics. Check out your portfolio center. Please also check ongoing floating volatility patterns of Guangzhou and Arrow Electronics.
Diversification Opportunities for Guangzhou and Arrow Electronics
-0.76 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Guangzhou and Arrow is -0.76. Overlapping area represents the amount of risk that can be diversified away by holding Guangzhou RF Properties and Arrow Electronics in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Arrow Electronics and Guangzhou 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 Guangzhou RF Properties are associated (or correlated) with Arrow Electronics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Arrow Electronics has no effect on the direction of Guangzhou i.e., Guangzhou and Arrow Electronics go up and down completely randomly.
Pair Corralation between Guangzhou and Arrow Electronics
Assuming the 90 days horizon Guangzhou RF Properties is expected to generate 4.62 times more return on investment than Arrow Electronics. However, Guangzhou is 4.62 times more volatile than Arrow Electronics. It trades about 0.04 of its potential returns per unit of risk. Arrow Electronics is currently generating about 0.0 per unit of risk. If you would invest 15.00 in Guangzhou RF Properties on September 21, 2024 and sell it today you would earn a total of 8.00 from holding Guangzhou RF Properties or generate 53.33% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Guangzhou RF Properties vs. Arrow Electronics
Performance |
Timeline |
Guangzhou RF Properties |
Arrow Electronics |
Guangzhou and Arrow Electronics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Guangzhou and Arrow Electronics
The main advantage of trading using opposite Guangzhou and Arrow Electronics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Guangzhou position performs unexpectedly, Arrow Electronics 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 Arrow Electronics will offset losses from the drop in Arrow Electronics' long position.Guangzhou vs. BCE Inc | Guangzhou vs. Amkor Technology | Guangzhou vs. Analog Devices | Guangzhou vs. Meiwu Technology Co |
Arrow Electronics vs. Insight Enterprises | Arrow Electronics vs. Synnex | Arrow Electronics vs. Climb Global Solutions | Arrow Electronics vs. ScanSource |
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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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