Correlation Between Digital Power and Seoul Semiconductor
Can any of the company-specific risk be diversified away by investing in both Digital Power and Seoul Semiconductor at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Digital Power and Seoul Semiconductor into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Digital Power Communications and Seoul Semiconductor Co, you can compare the effects of market volatilities on Digital Power and Seoul 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 Digital Power with a short position of Seoul Semiconductor. Check out your portfolio center. Please also check ongoing floating volatility patterns of Digital Power and Seoul Semiconductor.
Diversification Opportunities for Digital Power and Seoul Semiconductor
-0.26 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Digital and Seoul is -0.26. Overlapping area represents the amount of risk that can be diversified away by holding Digital Power Communications and Seoul Semiconductor Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Seoul Semiconductor and Digital Power 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 Digital Power Communications are associated (or correlated) with Seoul Semiconductor. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Seoul Semiconductor has no effect on the direction of Digital Power i.e., Digital Power and Seoul Semiconductor go up and down completely randomly.
Pair Corralation between Digital Power and Seoul Semiconductor
Assuming the 90 days trading horizon Digital Power Communications is expected to generate 1.19 times more return on investment than Seoul Semiconductor. However, Digital Power is 1.19 times more volatile than Seoul Semiconductor Co. It trades about 0.2 of its potential returns per unit of risk. Seoul Semiconductor Co is currently generating about -0.14 per unit of risk. If you would invest 767,000 in Digital Power Communications on September 22, 2024 and sell it today you would earn a total of 72,000 from holding Digital Power Communications or generate 9.39% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Digital Power Communications vs. Seoul Semiconductor Co
Performance |
Timeline |
Digital Power Commun |
Seoul Semiconductor |
Digital Power and Seoul Semiconductor Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Digital Power and Seoul Semiconductor
The main advantage of trading using opposite Digital Power and Seoul Semiconductor positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Digital Power position performs unexpectedly, Seoul 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 Seoul Semiconductor will offset losses from the drop in Seoul Semiconductor's long position.Digital Power vs. Home Center Holdings | Digital Power vs. ENF Technology Co | Digital Power vs. Hyundai Home Shopping | Digital Power vs. Stic Investments |
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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