Correlation Between Shinhan Inverse and Korea Real
Can any of the company-specific risk be diversified away by investing in both Shinhan Inverse and Korea Real 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 Inverse and Korea Real into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Shinhan Inverse WTI and Korea Real Estate, you can compare the effects of market volatilities on Shinhan Inverse and Korea Real 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 Inverse with a short position of Korea Real. Check out your portfolio center. Please also check ongoing floating volatility patterns of Shinhan Inverse and Korea Real.
Diversification Opportunities for Shinhan Inverse and Korea Real
-0.32 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Shinhan and Korea is -0.32. Overlapping area represents the amount of risk that can be diversified away by holding Shinhan Inverse WTI and Korea Real Estate in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Korea Real Estate and Shinhan Inverse 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 Inverse WTI are associated (or correlated) with Korea Real. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Korea Real Estate has no effect on the direction of Shinhan Inverse i.e., Shinhan Inverse and Korea Real go up and down completely randomly.
Pair Corralation between Shinhan Inverse and Korea Real
Assuming the 90 days trading horizon Shinhan Inverse WTI is expected to generate 2.49 times more return on investment than Korea Real. However, Shinhan Inverse is 2.49 times more volatile than Korea Real Estate. It trades about 0.03 of its potential returns per unit of risk. Korea Real Estate is currently generating about -0.15 per unit of risk. If you would invest 272,000 in Shinhan Inverse WTI on September 3, 2024 and sell it today you would earn a total of 6,500 from holding Shinhan Inverse WTI or generate 2.39% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.31% |
Values | Daily Returns |
Shinhan Inverse WTI vs. Korea Real Estate
Performance |
Timeline |
Shinhan Inverse WTI |
Korea Real Estate |
Shinhan Inverse and Korea Real Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Shinhan Inverse and Korea Real
The main advantage of trading using opposite Shinhan Inverse and Korea Real positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Shinhan Inverse position performs unexpectedly, Korea Real 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 Korea Real will offset losses from the drop in Korea Real's long position.Shinhan Inverse vs. Kukdo Chemical Co | Shinhan Inverse vs. Korea Petro Chemical | Shinhan Inverse vs. LG Chemicals | Shinhan Inverse vs. Daehan Synthetic Fiber |
Korea Real vs. Sejong Telecom | Korea Real vs. Mobileleader CoLtd | Korea Real vs. Lotte Data Communication | Korea Real vs. Wireless Power Amplifier |
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 Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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