Correlation Between Central Asia and Global Net
Can any of the company-specific risk be diversified away by investing in both Central Asia and Global Net 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 Central Asia and Global Net into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Central Asia Metals and Global Net Lease, you can compare the effects of market volatilities on Central Asia and Global Net 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 Central Asia with a short position of Global Net. Check out your portfolio center. Please also check ongoing floating volatility patterns of Central Asia and Global Net.
Diversification Opportunities for Central Asia and Global Net
0.11 | Correlation Coefficient |
Average diversification
The 3 months correlation between Central and Global is 0.11. Overlapping area represents the amount of risk that can be diversified away by holding Central Asia Metals and Global Net Lease in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Global Net Lease and Central Asia 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 Central Asia Metals are associated (or correlated) with Global Net. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Global Net Lease has no effect on the direction of Central Asia i.e., Central Asia and Global Net go up and down completely randomly.
Pair Corralation between Central Asia and Global Net
Assuming the 90 days trading horizon Central Asia is expected to generate 1.4 times less return on investment than Global Net. In addition to that, Central Asia is 1.23 times more volatile than Global Net Lease. It trades about 0.08 of its total potential returns per unit of risk. Global Net Lease is currently generating about 0.14 per unit of volatility. If you would invest 690.00 in Global Net Lease on December 30, 2024 and sell it today you would earn a total of 101.00 from holding Global Net Lease or generate 14.64% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 98.46% |
Values | Daily Returns |
Central Asia Metals vs. Global Net Lease
Performance |
Timeline |
Central Asia Metals |
Global Net Lease |
Central Asia and Global Net Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Central Asia and Global Net
The main advantage of trading using opposite Central Asia and Global Net positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Central Asia position performs unexpectedly, Global Net 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 Global Net will offset losses from the drop in Global Net's long position.Central Asia vs. Optima Health plc | Central Asia vs. Molson Coors Beverage | Central Asia vs. Eco Animal Health | Central Asia vs. Tyson Foods Cl |
Global Net vs. Sartorius Stedim Biotech | Global Net vs. Allianz Technology Trust | Global Net vs. Universal Display Corp | Global Net vs. Polar Capital Technology |
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 Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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