Correlation Between Universal Scientific and Kailong High
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By analyzing existing cross correlation between Universal Scientific Industrial and Kailong High Technology, you can compare the effects of market volatilities on Universal Scientific and Kailong High 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 Universal Scientific with a short position of Kailong High. Check out your portfolio center. Please also check ongoing floating volatility patterns of Universal Scientific and Kailong High.
Diversification Opportunities for Universal Scientific and Kailong High
-0.32 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Universal and Kailong is -0.32. Overlapping area represents the amount of risk that can be diversified away by holding Universal Scientific Industria and Kailong High Technology in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kailong High Technology and Universal Scientific 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 Universal Scientific Industrial are associated (or correlated) with Kailong High. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kailong High Technology has no effect on the direction of Universal Scientific i.e., Universal Scientific and Kailong High go up and down completely randomly.
Pair Corralation between Universal Scientific and Kailong High
Assuming the 90 days trading horizon Universal Scientific is expected to generate 3.23 times less return on investment than Kailong High. But when comparing it to its historical volatility, Universal Scientific Industrial is 1.9 times less risky than Kailong High. It trades about 0.01 of its potential returns per unit of risk. Kailong High Technology is currently generating about 0.01 of returns per unit of risk over similar time horizon. If you would invest 1,400 in Kailong High Technology on October 11, 2024 and sell it today you would lose (326.00) from holding Kailong High Technology or give up 23.29% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Universal Scientific Industria vs. Kailong High Technology
Performance |
Timeline |
Universal Scientific |
Kailong High Technology |
Universal Scientific and Kailong High Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Universal Scientific and Kailong High
The main advantage of trading using opposite Universal Scientific and Kailong High positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Universal Scientific position performs unexpectedly, Kailong High 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 Kailong High will offset losses from the drop in Kailong High's long position.The idea behind Universal Scientific Industrial and Kailong High Technology 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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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