Correlation Between Universal Scientific and Xinjiang Goldwind
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By analyzing existing cross correlation between Universal Scientific Industrial and Xinjiang Goldwind Science, you can compare the effects of market volatilities on Universal Scientific and Xinjiang Goldwind 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 Xinjiang Goldwind. Check out your portfolio center. Please also check ongoing floating volatility patterns of Universal Scientific and Xinjiang Goldwind.
Diversification Opportunities for Universal Scientific and Xinjiang Goldwind
-0.6 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Universal and Xinjiang is -0.6. Overlapping area represents the amount of risk that can be diversified away by holding Universal Scientific Industria and Xinjiang Goldwind Science in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Xinjiang Goldwind Science 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 Xinjiang Goldwind. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Xinjiang Goldwind Science has no effect on the direction of Universal Scientific i.e., Universal Scientific and Xinjiang Goldwind go up and down completely randomly.
Pair Corralation between Universal Scientific and Xinjiang Goldwind
Assuming the 90 days trading horizon Universal Scientific Industrial is expected to generate 1.71 times more return on investment than Xinjiang Goldwind. However, Universal Scientific is 1.71 times more volatile than Xinjiang Goldwind Science. It trades about 0.02 of its potential returns per unit of risk. Xinjiang Goldwind Science is currently generating about -0.12 per unit of risk. If you would invest 1,694 in Universal Scientific Industrial on December 28, 2024 and sell it today you would earn a total of 9.00 from holding Universal Scientific Industrial or generate 0.53% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Universal Scientific Industria vs. Xinjiang Goldwind Science
Performance |
Timeline |
Universal Scientific |
Xinjiang Goldwind Science |
Universal Scientific and Xinjiang Goldwind Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Universal Scientific and Xinjiang Goldwind
The main advantage of trading using opposite Universal Scientific and Xinjiang Goldwind positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Universal Scientific position performs unexpectedly, Xinjiang Goldwind 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 Xinjiang Goldwind will offset losses from the drop in Xinjiang Goldwind's long position.The idea behind Universal Scientific Industrial and Xinjiang Goldwind Science 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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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