Correlation Between Ainsworth Game and Prodigy Gold
Can any of the company-specific risk be diversified away by investing in both Ainsworth Game and Prodigy Gold 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 Ainsworth Game and Prodigy Gold into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ainsworth Game Technology and Prodigy Gold NL, you can compare the effects of market volatilities on Ainsworth Game and Prodigy Gold 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 Ainsworth Game with a short position of Prodigy Gold. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ainsworth Game and Prodigy Gold.
Diversification Opportunities for Ainsworth Game and Prodigy Gold
-0.16 | Correlation Coefficient |
Good diversification
The 3 months correlation between Ainsworth and Prodigy is -0.16. Overlapping area represents the amount of risk that can be diversified away by holding Ainsworth Game Technology and Prodigy Gold NL in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Prodigy Gold NL and Ainsworth Game 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 Ainsworth Game Technology are associated (or correlated) with Prodigy Gold. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Prodigy Gold NL has no effect on the direction of Ainsworth Game i.e., Ainsworth Game and Prodigy Gold go up and down completely randomly.
Pair Corralation between Ainsworth Game and Prodigy Gold
Assuming the 90 days trading horizon Ainsworth Game is expected to generate 41.74 times less return on investment than Prodigy Gold. But when comparing it to its historical volatility, Ainsworth Game Technology is 6.65 times less risky than Prodigy Gold. It trades about 0.02 of its potential returns per unit of risk. Prodigy Gold NL is currently generating about 0.1 of returns per unit of risk over similar time horizon. If you would invest 0.20 in Prodigy Gold NL on October 7, 2024 and sell it today you would earn a total of 0.00 from holding Prodigy Gold NL or generate 0.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Ainsworth Game Technology vs. Prodigy Gold NL
Performance |
Timeline |
Ainsworth Game Technology |
Prodigy Gold NL |
Ainsworth Game and Prodigy Gold Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ainsworth Game and Prodigy Gold
The main advantage of trading using opposite Ainsworth Game and Prodigy Gold positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ainsworth Game position performs unexpectedly, Prodigy Gold 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 Prodigy Gold will offset losses from the drop in Prodigy Gold's long position.Ainsworth Game vs. Beston Global Food | Ainsworth Game vs. Black Rock Mining | Ainsworth Game vs. Charter Hall Education | Ainsworth Game vs. Australian Strategic Materials |
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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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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