Correlation Between Origin Agritech and National Grid
Can any of the company-specific risk be diversified away by investing in both Origin Agritech and National Grid 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 Origin Agritech and National Grid into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Origin Agritech and National Grid plc, you can compare the effects of market volatilities on Origin Agritech and National Grid 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 Origin Agritech with a short position of National Grid. Check out your portfolio center. Please also check ongoing floating volatility patterns of Origin Agritech and National Grid.
Diversification Opportunities for Origin Agritech and National Grid
0.76 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Origin and National is 0.76. Overlapping area represents the amount of risk that can be diversified away by holding Origin Agritech and National Grid plc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on National Grid plc and Origin Agritech 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 Origin Agritech are associated (or correlated) with National Grid. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of National Grid plc has no effect on the direction of Origin Agritech i.e., Origin Agritech and National Grid go up and down completely randomly.
Pair Corralation between Origin Agritech and National Grid
Assuming the 90 days trading horizon Origin Agritech is expected to under-perform the National Grid. In addition to that, Origin Agritech is 2.63 times more volatile than National Grid plc. It trades about -0.14 of its total potential returns per unit of risk. National Grid plc is currently generating about -0.05 per unit of volatility. If you would invest 5,749 in National Grid plc on October 21, 2024 and sell it today you would lose (199.00) from holding National Grid plc or give up 3.46% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Origin Agritech vs. National Grid plc
Performance |
Timeline |
Origin Agritech |
National Grid plc |
Origin Agritech and National Grid Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Origin Agritech and National Grid
The main advantage of trading using opposite Origin Agritech and National Grid positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Origin Agritech position performs unexpectedly, National Grid 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 National Grid will offset losses from the drop in National Grid's long position.Origin Agritech vs. PLAYMATES TOYS | Origin Agritech vs. PENN NATL GAMING | Origin Agritech vs. Media and Games | Origin Agritech vs. Kingdee International Software |
National Grid vs. Iberdrola SA | National Grid vs. Enel SpA | National Grid vs. Enel SpA | National Grid vs. Dominion Energy |
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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