Correlation Between Kingsignal Technology and Peoples Insurance
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By analyzing existing cross correlation between Kingsignal Technology Co and Peoples Insurance of, you can compare the effects of market volatilities on Kingsignal Technology and Peoples Insurance 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 Kingsignal Technology with a short position of Peoples Insurance. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kingsignal Technology and Peoples Insurance.
Diversification Opportunities for Kingsignal Technology and Peoples Insurance
0.94 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Kingsignal and Peoples is 0.94. Overlapping area represents the amount of risk that can be diversified away by holding Kingsignal Technology Co and Peoples Insurance of in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Peoples Insurance and Kingsignal Technology 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 Kingsignal Technology Co are associated (or correlated) with Peoples Insurance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Peoples Insurance has no effect on the direction of Kingsignal Technology i.e., Kingsignal Technology and Peoples Insurance go up and down completely randomly.
Pair Corralation between Kingsignal Technology and Peoples Insurance
Assuming the 90 days trading horizon Kingsignal Technology Co is expected to generate 1.69 times more return on investment than Peoples Insurance. However, Kingsignal Technology is 1.69 times more volatile than Peoples Insurance of. It trades about 0.14 of its potential returns per unit of risk. Peoples Insurance of is currently generating about 0.13 per unit of risk. If you would invest 673.00 in Kingsignal Technology Co on September 19, 2024 and sell it today you would earn a total of 266.00 from holding Kingsignal Technology Co or generate 39.52% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 98.33% |
Values | Daily Returns |
Kingsignal Technology Co vs. Peoples Insurance of
Performance |
Timeline |
Kingsignal Technology |
Peoples Insurance |
Kingsignal Technology and Peoples Insurance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Kingsignal Technology and Peoples Insurance
The main advantage of trading using opposite Kingsignal Technology and Peoples Insurance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kingsignal Technology position performs unexpectedly, Peoples Insurance 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 Peoples Insurance will offset losses from the drop in Peoples Insurance's long position.The idea behind Kingsignal Technology Co and Peoples Insurance of pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.
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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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
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