Correlation Between Hwabao WP and Tianjin Hi
Specify exactly 2 symbols:
By analyzing existing cross correlation between Hwabao WP CSI and Tianjin Hi Tech Development, you can compare the effects of market volatilities on Hwabao WP and Tianjin Hi 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 Hwabao WP with a short position of Tianjin Hi. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hwabao WP and Tianjin Hi.
Diversification Opportunities for Hwabao WP and Tianjin Hi
0.44 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Hwabao and Tianjin is 0.44. Overlapping area represents the amount of risk that can be diversified away by holding Hwabao WP CSI and Tianjin Hi Tech Development in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Tianjin Hi Tech and Hwabao WP 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 Hwabao WP CSI are associated (or correlated) with Tianjin Hi. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Tianjin Hi Tech has no effect on the direction of Hwabao WP i.e., Hwabao WP and Tianjin Hi go up and down completely randomly.
Pair Corralation between Hwabao WP and Tianjin Hi
Assuming the 90 days trading horizon Hwabao WP CSI is expected to generate 0.56 times more return on investment than Tianjin Hi. However, Hwabao WP CSI is 1.77 times less risky than Tianjin Hi. It trades about 0.04 of its potential returns per unit of risk. Tianjin Hi Tech Development is currently generating about -0.02 per unit of risk. If you would invest 107.00 in Hwabao WP CSI on October 7, 2024 and sell it today you would earn a total of 17.00 from holding Hwabao WP CSI or generate 15.89% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Hwabao WP CSI vs. Tianjin Hi Tech Development
Performance |
Timeline |
Hwabao WP CSI |
Tianjin Hi Tech |
Hwabao WP and Tianjin Hi Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hwabao WP and Tianjin Hi
The main advantage of trading using opposite Hwabao WP and Tianjin Hi positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hwabao WP position performs unexpectedly, Tianjin Hi 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 Tianjin Hi will offset losses from the drop in Tianjin Hi's long position.Hwabao WP vs. Hwabao WP CSI | Hwabao WP vs. Hwabao WP CS | Hwabao WP vs. Hwabao WP SSE | Hwabao WP vs. Hwabao WP SP |
Tianjin Hi vs. PetroChina Co Ltd | Tianjin Hi vs. Gansu Jiu Steel | Tianjin Hi vs. Aba Chemicals Corp | Tianjin Hi vs. Yes Optoelectronics Co |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
Other Complementary Tools
Pair Correlation Compare performance and examine fundamental relationship between any two equity instruments | |
Content Syndication Quickly integrate customizable finance content to your own investment portal | |
Transaction History View history of all your transactions and understand their impact on performance | |
Performance Analysis Check effects of mean-variance optimization against your current asset allocation | |
Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk |