Correlation Between Shinhan Financial and Polaris Office
Can any of the company-specific risk be diversified away by investing in both Shinhan Financial and Polaris Office 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 Shinhan Financial and Polaris Office into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Shinhan Financial Group and Polaris Office Corp, you can compare the effects of market volatilities on Shinhan Financial and Polaris Office 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 Shinhan Financial with a short position of Polaris Office. Check out your portfolio center. Please also check ongoing floating volatility patterns of Shinhan Financial and Polaris Office.
Diversification Opportunities for Shinhan Financial and Polaris Office
-0.46 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Shinhan and Polaris is -0.46. Overlapping area represents the amount of risk that can be diversified away by holding Shinhan Financial Group and Polaris Office Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Polaris Office Corp and Shinhan Financial 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 Shinhan Financial Group are associated (or correlated) with Polaris Office. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Polaris Office Corp has no effect on the direction of Shinhan Financial i.e., Shinhan Financial and Polaris Office go up and down completely randomly.
Pair Corralation between Shinhan Financial and Polaris Office
Assuming the 90 days trading horizon Shinhan Financial Group is expected to generate 0.25 times more return on investment than Polaris Office. However, Shinhan Financial Group is 4.02 times less risky than Polaris Office. It trades about 0.16 of its potential returns per unit of risk. Polaris Office Corp is currently generating about 0.02 per unit of risk. If you would invest 4,890,000 in Shinhan Financial Group on October 26, 2024 and sell it today you would earn a total of 140,000 from holding Shinhan Financial Group or generate 2.86% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Shinhan Financial Group vs. Polaris Office Corp
Performance |
Timeline |
Shinhan Financial |
Polaris Office Corp |
Shinhan Financial and Polaris Office Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Shinhan Financial and Polaris Office
The main advantage of trading using opposite Shinhan Financial and Polaris Office positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Shinhan Financial position performs unexpectedly, Polaris Office 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 Polaris Office will offset losses from the drop in Polaris Office's long position.Shinhan Financial vs. KB Financial Group | Shinhan Financial vs. Shinhan Financial Group | Shinhan Financial vs. Hana Financial | Shinhan Financial vs. Woori Financial Group |
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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 AI Portfolio Architect module to use AI to generate optimal portfolios and find profitable investment opportunities.
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