Correlation Between Central Asia and AfriTin Mining
Can any of the company-specific risk be diversified away by investing in both Central Asia and AfriTin Mining 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 AfriTin Mining 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 AfriTin Mining, you can compare the effects of market volatilities on Central Asia and AfriTin Mining 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 AfriTin Mining. Check out your portfolio center. Please also check ongoing floating volatility patterns of Central Asia and AfriTin Mining.
Diversification Opportunities for Central Asia and AfriTin Mining
0.73 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Central and AfriTin is 0.73. Overlapping area represents the amount of risk that can be diversified away by holding Central Asia Metals and AfriTin Mining in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on AfriTin Mining 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 AfriTin Mining. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of AfriTin Mining has no effect on the direction of Central Asia i.e., Central Asia and AfriTin Mining go up and down completely randomly.
Pair Corralation between Central Asia and AfriTin Mining
Assuming the 90 days trading horizon Central Asia Metals is expected to generate 0.28 times more return on investment than AfriTin Mining. However, Central Asia Metals is 3.56 times less risky than AfriTin Mining. It trades about -0.32 of its potential returns per unit of risk. AfriTin Mining is currently generating about -0.27 per unit of risk. If you would invest 17,680 in Central Asia Metals on August 31, 2024 and sell it today you would lose (1,460) from holding Central Asia Metals or give up 8.26% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Central Asia Metals vs. AfriTin Mining
Performance |
Timeline |
Central Asia Metals |
AfriTin Mining |
Central Asia and AfriTin Mining Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Central Asia and AfriTin Mining
The main advantage of trading using opposite Central Asia and AfriTin Mining positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Central Asia position performs unexpectedly, AfriTin Mining 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 AfriTin Mining will offset losses from the drop in AfriTin Mining's long position.Central Asia vs. Centamin PLC | Central Asia vs. Anglo Asian Mining | Central Asia vs. Metals Exploration Plc |
AfriTin Mining vs. Jacquet Metal Service | AfriTin Mining vs. Bisichi Mining PLC | AfriTin Mining vs. Anglesey Mining | AfriTin Mining vs. Flow Traders NV |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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