Correlation Between Savannah Resources and Central Asia
Can any of the company-specific risk be diversified away by investing in both Savannah Resources 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 Savannah Resources and Central Asia into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Savannah Resources Plc and Central Asia Metals, you can compare the effects of market volatilities on Savannah Resources 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 Savannah Resources with a short position of Central Asia. Check out your portfolio center. Please also check ongoing floating volatility patterns of Savannah Resources and Central Asia.
Diversification Opportunities for Savannah Resources and Central Asia
-0.26 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Savannah and Central is -0.26. Overlapping area represents the amount of risk that can be diversified away by holding Savannah Resources Plc 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 Savannah Resources 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 Savannah Resources Plc 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 Savannah Resources i.e., Savannah Resources and Central Asia go up and down completely randomly.
Pair Corralation between Savannah Resources and Central Asia
Assuming the 90 days trading horizon Savannah Resources Plc is expected to generate 2.05 times more return on investment than Central Asia. However, Savannah Resources is 2.05 times more volatile than Central Asia Metals. It trades about 0.04 of its potential returns per unit of risk. Central Asia Metals is currently generating about -0.03 per unit of risk. If you would invest 275.00 in Savannah Resources Plc on September 7, 2024 and sell it today you would earn a total of 150.00 from holding Savannah Resources Plc or generate 54.55% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Savannah Resources Plc vs. Central Asia Metals
Performance |
Timeline |
Savannah Resources Plc |
Central Asia Metals |
Savannah Resources and Central Asia Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Savannah Resources and Central Asia
The main advantage of trading using opposite Savannah Resources and Central Asia positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Savannah Resources 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.Savannah Resources vs. Take Two Interactive Software | Savannah Resources vs. Zurich Insurance Group | Savannah Resources vs. Centaur Media | Savannah Resources vs. Atresmedia |
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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 Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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