Correlation Between Kisan Telecom and Insung Information
Can any of the company-specific risk be diversified away by investing in both Kisan Telecom and Insung Information 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 Kisan Telecom and Insung Information into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Kisan Telecom Co and Insung Information Co, you can compare the effects of market volatilities on Kisan Telecom and Insung Information 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 Kisan Telecom with a short position of Insung Information. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kisan Telecom and Insung Information.
Diversification Opportunities for Kisan Telecom and Insung Information
0.27 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Kisan and Insung is 0.27. Overlapping area represents the amount of risk that can be diversified away by holding Kisan Telecom Co and Insung Information Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Insung Information and Kisan Telecom 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 Kisan Telecom Co are associated (or correlated) with Insung Information. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Insung Information has no effect on the direction of Kisan Telecom i.e., Kisan Telecom and Insung Information go up and down completely randomly.
Pair Corralation between Kisan Telecom and Insung Information
Assuming the 90 days trading horizon Kisan Telecom Co is expected to generate 0.45 times more return on investment than Insung Information. However, Kisan Telecom Co is 2.24 times less risky than Insung Information. It trades about 0.09 of its potential returns per unit of risk. Insung Information Co is currently generating about -0.06 per unit of risk. If you would invest 173,500 in Kisan Telecom Co on September 26, 2024 and sell it today you would earn a total of 4,900 from holding Kisan Telecom Co or generate 2.82% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Kisan Telecom Co vs. Insung Information Co
Performance |
Timeline |
Kisan Telecom |
Insung Information |
Kisan Telecom and Insung Information Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Kisan Telecom and Insung Information
The main advantage of trading using opposite Kisan Telecom and Insung Information positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kisan Telecom position performs unexpectedly, Insung Information 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 Insung Information will offset losses from the drop in Insung Information's long position.Kisan Telecom vs. Dongsin Engineering Construction | Kisan Telecom vs. Doosan Fuel Cell | Kisan Telecom vs. Daishin Balance 1 | Kisan Telecom vs. Total Soft Bank |
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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 Sign In To Macroaxis module to sign in to explore Macroaxis' wealth optimization platform and fintech modules.
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