Correlation Between StarPower Semiconductor and China High
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By analyzing existing cross correlation between StarPower Semiconductor and China High Speed Railway, you can compare the effects of market volatilities on StarPower Semiconductor and China 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 StarPower Semiconductor with a short position of China High. Check out your portfolio center. Please also check ongoing floating volatility patterns of StarPower Semiconductor and China High.
Diversification Opportunities for StarPower Semiconductor and China High
0.16 | Correlation Coefficient |
Average diversification
The 3 months correlation between StarPower and China is 0.16. Overlapping area represents the amount of risk that can be diversified away by holding StarPower Semiconductor and China High Speed Railway in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on China High Speed and StarPower Semiconductor 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 StarPower Semiconductor are associated (or correlated) with China High. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of China High Speed has no effect on the direction of StarPower Semiconductor i.e., StarPower Semiconductor and China High go up and down completely randomly.
Pair Corralation between StarPower Semiconductor and China High
Assuming the 90 days trading horizon StarPower Semiconductor is expected to under-perform the China High. But the stock apears to be less risky and, when comparing its historical volatility, StarPower Semiconductor is 1.63 times less risky than China High. The stock trades about -0.08 of its potential returns per unit of risk. The China High Speed Railway is currently generating about 0.02 of returns per unit of risk over similar time horizon. If you would invest 255.00 in China High Speed Railway on October 26, 2024 and sell it today you would earn a total of 1.00 from holding China High Speed Railway or generate 0.39% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
StarPower Semiconductor vs. China High Speed Railway
Performance |
Timeline |
StarPower Semiconductor |
China High Speed |
StarPower Semiconductor and China High Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with StarPower Semiconductor and China High
The main advantage of trading using opposite StarPower Semiconductor and China High positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if StarPower Semiconductor position performs unexpectedly, China 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 China High will offset losses from the drop in China High's long position.The idea behind StarPower Semiconductor and China High Speed Railway 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 Stocks Directory module to find actively traded stocks across global markets.
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