Correlation Between Beeks Trading and Central Asia
Can any of the company-specific risk be diversified away by investing in both Beeks Trading and Central Asia 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 Beeks Trading and Central Asia into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Beeks Trading and Central Asia Metals, you can compare the effects of market volatilities on Beeks Trading and Central Asia 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 Beeks Trading with a short position of Central Asia. Check out your portfolio center. Please also check ongoing floating volatility patterns of Beeks Trading and Central Asia.
Diversification Opportunities for Beeks Trading and Central Asia
-0.39 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Beeks and Central is -0.39. Overlapping area represents the amount of risk that can be diversified away by holding Beeks Trading and Central Asia Metals in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Central Asia Metals and Beeks Trading 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 Beeks Trading are associated (or correlated) with Central Asia. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Central Asia Metals has no effect on the direction of Beeks Trading i.e., Beeks Trading and Central Asia go up and down completely randomly.
Pair Corralation between Beeks Trading and Central Asia
Assuming the 90 days trading horizon Beeks Trading is expected to generate 1.36 times more return on investment than Central Asia. However, Beeks Trading is 1.36 times more volatile than Central Asia Metals. It trades about -0.05 of its potential returns per unit of risk. Central Asia Metals is currently generating about -0.15 per unit of risk. If you would invest 29,600 in Beeks Trading on October 8, 2024 and sell it today you would lose (800.00) from holding Beeks Trading or give up 2.7% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Beeks Trading vs. Central Asia Metals
Performance |
Timeline |
Beeks Trading |
Central Asia Metals |
Beeks Trading and Central Asia Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Beeks Trading and Central Asia
The main advantage of trading using opposite Beeks Trading and Central Asia positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Beeks Trading position performs unexpectedly, Central Asia 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 Central Asia will offset losses from the drop in Central Asia's long position.Beeks Trading vs. Air Products Chemicals | Beeks Trading vs. Lindsell Train Investment | Beeks Trading vs. URU Metals | Beeks Trading vs. Gaztransport et Technigaz |
Central Asia vs. Antofagasta PLC | Central Asia vs. Atalaya Mining | Central Asia vs. Anglo Asian Mining | Central Asia vs. Metals Exploration Plc |
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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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