Correlation Between AurosTechnology and Shinhan Inverse
Can any of the company-specific risk be diversified away by investing in both AurosTechnology and Shinhan Inverse 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 AurosTechnology and Shinhan Inverse into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between AurosTechnology and Shinhan Inverse Copper, you can compare the effects of market volatilities on AurosTechnology and Shinhan Inverse 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 AurosTechnology with a short position of Shinhan Inverse. Check out your portfolio center. Please also check ongoing floating volatility patterns of AurosTechnology and Shinhan Inverse.
Diversification Opportunities for AurosTechnology and Shinhan Inverse
-0.34 | Correlation Coefficient |
Very good diversification
The 3 months correlation between AurosTechnology and Shinhan is -0.34. Overlapping area represents the amount of risk that can be diversified away by holding AurosTechnology and Shinhan Inverse Copper in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Shinhan Inverse Copper and AurosTechnology 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 AurosTechnology are associated (or correlated) with Shinhan Inverse. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Shinhan Inverse Copper has no effect on the direction of AurosTechnology i.e., AurosTechnology and Shinhan Inverse go up and down completely randomly.
Pair Corralation between AurosTechnology and Shinhan Inverse
Assuming the 90 days trading horizon AurosTechnology is expected to under-perform the Shinhan Inverse. In addition to that, AurosTechnology is 2.41 times more volatile than Shinhan Inverse Copper. It trades about -0.11 of its total potential returns per unit of risk. Shinhan Inverse Copper is currently generating about 0.01 per unit of volatility. If you would invest 561,500 in Shinhan Inverse Copper on September 3, 2024 and sell it today you would earn a total of 3,500 from holding Shinhan Inverse Copper or generate 0.62% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 94.92% |
Values | Daily Returns |
AurosTechnology vs. Shinhan Inverse Copper
Performance |
Timeline |
AurosTechnology |
Shinhan Inverse Copper |
AurosTechnology and Shinhan Inverse Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with AurosTechnology and Shinhan Inverse
The main advantage of trading using opposite AurosTechnology and Shinhan Inverse positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if AurosTechnology position performs unexpectedly, Shinhan Inverse 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 Shinhan Inverse will offset losses from the drop in Shinhan Inverse's long position.AurosTechnology vs. Barunson Entertainment Arts | AurosTechnology vs. SM Entertainment Co | AurosTechnology vs. Tamul Multimedia Co | AurosTechnology vs. Korea Information Communications |
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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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