Correlation Between Central Asia and Bankers Investment
Can any of the company-specific risk be diversified away by investing in both Central Asia and Bankers Investment 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 Bankers Investment 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 Bankers Investment Trust, you can compare the effects of market volatilities on Central Asia and Bankers Investment 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 Bankers Investment. Check out your portfolio center. Please also check ongoing floating volatility patterns of Central Asia and Bankers Investment.
Diversification Opportunities for Central Asia and Bankers Investment
-0.69 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Central and Bankers is -0.69. Overlapping area represents the amount of risk that can be diversified away by holding Central Asia Metals and Bankers Investment Trust in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bankers Investment Trust 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 Bankers Investment. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bankers Investment Trust has no effect on the direction of Central Asia i.e., Central Asia and Bankers Investment go up and down completely randomly.
Pair Corralation between Central Asia and Bankers Investment
Assuming the 90 days trading horizon Central Asia Metals is expected to under-perform the Bankers Investment. In addition to that, Central Asia is 2.54 times more volatile than Bankers Investment Trust. It trades about -0.25 of its total potential returns per unit of risk. Bankers Investment Trust is currently generating about 0.11 per unit of volatility. If you would invest 11,094 in Bankers Investment Trust on October 1, 2024 and sell it today you would earn a total of 426.00 from holding Bankers Investment Trust or generate 3.84% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Central Asia Metals vs. Bankers Investment Trust
Performance |
Timeline |
Central Asia Metals |
Bankers Investment Trust |
Central Asia and Bankers Investment Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Central Asia and Bankers Investment
The main advantage of trading using opposite Central Asia and Bankers Investment positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Central Asia position performs unexpectedly, Bankers Investment 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 Bankers Investment will offset losses from the drop in Bankers Investment's long position.Central Asia vs. Accsys Technologies PLC | Central Asia vs. Schweiter Technologies AG | Central Asia vs. AIM ImmunoTech | Central Asia vs. Deltex Medical Group |
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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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
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