Correlation Between Shandong Homey and Pengxin International
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By analyzing existing cross correlation between Shandong Homey Aquatic and Pengxin International Mining, you can compare the effects of market volatilities on Shandong Homey and Pengxin International 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 Shandong Homey with a short position of Pengxin International. Check out your portfolio center. Please also check ongoing floating volatility patterns of Shandong Homey and Pengxin International.
Diversification Opportunities for Shandong Homey and Pengxin International
0.55 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Shandong and Pengxin is 0.55. Overlapping area represents the amount of risk that can be diversified away by holding Shandong Homey Aquatic and Pengxin International Mining in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Pengxin International and Shandong Homey 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 Shandong Homey Aquatic are associated (or correlated) with Pengxin International. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Pengxin International has no effect on the direction of Shandong Homey i.e., Shandong Homey and Pengxin International go up and down completely randomly.
Pair Corralation between Shandong Homey and Pengxin International
Assuming the 90 days trading horizon Shandong Homey Aquatic is expected to under-perform the Pengxin International. But the stock apears to be less risky and, when comparing its historical volatility, Shandong Homey Aquatic is 1.55 times less risky than Pengxin International. The stock trades about -0.37 of its potential returns per unit of risk. The Pengxin International Mining is currently generating about -0.09 of returns per unit of risk over similar time horizon. If you would invest 332.00 in Pengxin International Mining on October 14, 2024 and sell it today you would lose (37.00) from holding Pengxin International Mining or give up 11.14% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Shandong Homey Aquatic vs. Pengxin International Mining
Performance |
| Timeline |
| Shandong Homey Aquatic |
| Pengxin International |
Shandong Homey and Pengxin International Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Shandong Homey and Pengxin International
The main advantage of trading using opposite Shandong Homey and Pengxin International positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Shandong Homey position performs unexpectedly, Pengxin International 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 Pengxin International will offset losses from the drop in Pengxin International's long position.| Shandong Homey vs. Harbin Hatou Investment | Shandong Homey vs. GRG Banking Equipment | Shandong Homey vs. Bank of Suzhou | Shandong Homey vs. Sunny Loan Top |
| Pengxin International vs. Vohringer Home Technology | Pengxin International vs. Ningbo Kangqiang Electronics | Pengxin International vs. Oppein Home Group | Pengxin International vs. Shandong Homey Aquatic |
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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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