Correlation Between Hangzhou Arcvideo and Lontium Semiconductor
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By analyzing existing cross correlation between Hangzhou Arcvideo Technology and Lontium Semiconductor Corp, you can compare the effects of market volatilities on Hangzhou Arcvideo and Lontium Semiconductor 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 Hangzhou Arcvideo with a short position of Lontium Semiconductor. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hangzhou Arcvideo and Lontium Semiconductor.
Diversification Opportunities for Hangzhou Arcvideo and Lontium Semiconductor
-0.31 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Hangzhou and Lontium is -0.31. Overlapping area represents the amount of risk that can be diversified away by holding Hangzhou Arcvideo Technology and Lontium Semiconductor Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lontium Semiconductor and Hangzhou Arcvideo 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 Hangzhou Arcvideo Technology are associated (or correlated) with Lontium Semiconductor. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lontium Semiconductor has no effect on the direction of Hangzhou Arcvideo i.e., Hangzhou Arcvideo and Lontium Semiconductor go up and down completely randomly.
Pair Corralation between Hangzhou Arcvideo and Lontium Semiconductor
Assuming the 90 days trading horizon Hangzhou Arcvideo Technology is expected to under-perform the Lontium Semiconductor. But the stock apears to be less risky and, when comparing its historical volatility, Hangzhou Arcvideo Technology is 1.13 times less risky than Lontium Semiconductor. The stock trades about -0.04 of its potential returns per unit of risk. The Lontium Semiconductor Corp is currently generating about 0.15 of returns per unit of risk over similar time horizon. If you would invest 6,108 in Lontium Semiconductor Corp on October 25, 2024 and sell it today you would earn a total of 2,848 from holding Lontium Semiconductor Corp or generate 46.63% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Hangzhou Arcvideo Technology vs. Lontium Semiconductor Corp
Performance |
Timeline |
Hangzhou Arcvideo |
Lontium Semiconductor |
Hangzhou Arcvideo and Lontium Semiconductor Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hangzhou Arcvideo and Lontium Semiconductor
The main advantage of trading using opposite Hangzhou Arcvideo and Lontium Semiconductor positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hangzhou Arcvideo position performs unexpectedly, Lontium Semiconductor 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 Lontium Semiconductor will offset losses from the drop in Lontium Semiconductor's long position.Hangzhou Arcvideo vs. Kweichow Moutai Co | Hangzhou Arcvideo vs. NAURA Technology Group | Hangzhou Arcvideo vs. APT Medical | Hangzhou Arcvideo vs. BYD Co Ltd |
Lontium Semiconductor vs. Kweichow Moutai Co | Lontium Semiconductor vs. NAURA Technology Group | Lontium Semiconductor vs. APT Medical | Lontium Semiconductor vs. BYD Co Ltd |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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