Correlation Between Beijing Shunxin and Invengo Information
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By analyzing existing cross correlation between Beijing Shunxin Agriculture and Invengo Information Technology, you can compare the effects of market volatilities on Beijing Shunxin and Invengo Information 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 Beijing Shunxin with a short position of Invengo Information. Check out your portfolio center. Please also check ongoing floating volatility patterns of Beijing Shunxin and Invengo Information.
Diversification Opportunities for Beijing Shunxin and Invengo Information
0.5 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Beijing and Invengo is 0.5. Overlapping area represents the amount of risk that can be diversified away by holding Beijing Shunxin Agriculture and Invengo Information Technology in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Invengo Information and Beijing Shunxin 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 Beijing Shunxin Agriculture are associated (or correlated) with Invengo Information. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Invengo Information has no effect on the direction of Beijing Shunxin i.e., Beijing Shunxin and Invengo Information go up and down completely randomly.
Pair Corralation between Beijing Shunxin and Invengo Information
Assuming the 90 days trading horizon Beijing Shunxin Agriculture is expected to under-perform the Invengo Information. But the stock apears to be less risky and, when comparing its historical volatility, Beijing Shunxin Agriculture is 1.76 times less risky than Invengo Information. The stock trades about -0.01 of its potential returns per unit of risk. The Invengo Information Technology is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest 455.00 in Invengo Information Technology on October 11, 2024 and sell it today you would earn a total of 76.00 from holding Invengo Information Technology or generate 16.7% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Beijing Shunxin Agriculture vs. Invengo Information Technology
Performance |
Timeline |
Beijing Shunxin Agri |
Invengo Information |
Beijing Shunxin and Invengo Information Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Beijing Shunxin and Invengo Information
The main advantage of trading using opposite Beijing Shunxin and Invengo Information positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Beijing Shunxin position performs unexpectedly, Invengo Information 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 Invengo Information will offset losses from the drop in Invengo Information's long position.Beijing Shunxin vs. Sunny Loan Top | Beijing Shunxin vs. HUAQIN TECHNOLOGY LTD | Beijing Shunxin vs. Changjiang Publishing Media | Beijing Shunxin vs. Thinkingdom Media Group |
Invengo Information vs. Gansu Huangtai Wine marketing | Invengo Information vs. Qumei Furniture Group | Invengo Information vs. Tonghua Grape Wine | Invengo Information vs. Beijing Shunxin Agriculture |
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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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