Correlation Between Digital Power and Lotte Fine
Can any of the company-specific risk be diversified away by investing in both Digital Power and Lotte Fine 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 Lotte Fine 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 Lotte Fine Chemical, you can compare the effects of market volatilities on Digital Power and Lotte Fine 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 Lotte Fine. Check out your portfolio center. Please also check ongoing floating volatility patterns of Digital Power and Lotte Fine.
Diversification Opportunities for Digital Power and Lotte Fine
-0.07 | Correlation Coefficient |
Good diversification
The 3 months correlation between Digital and Lotte is -0.07. Overlapping area represents the amount of risk that can be diversified away by holding Digital Power Communications and Lotte Fine Chemical in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lotte Fine Chemical 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 Lotte Fine. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lotte Fine Chemical has no effect on the direction of Digital Power i.e., Digital Power and Lotte Fine go up and down completely randomly.
Pair Corralation between Digital Power and Lotte Fine
Assuming the 90 days trading horizon Digital Power is expected to generate 9.68 times less return on investment than Lotte Fine. But when comparing it to its historical volatility, Digital Power Communications is 1.34 times less risky than Lotte Fine. It trades about 0.05 of its potential returns per unit of risk. Lotte Fine Chemical is currently generating about 0.36 of returns per unit of risk over similar time horizon. If you would invest 3,390,000 in Lotte Fine Chemical on October 6, 2024 and sell it today you would earn a total of 680,000 from holding Lotte Fine Chemical or generate 20.06% 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. Lotte Fine Chemical
Performance |
Timeline |
Digital Power Commun |
Lotte Fine Chemical |
Digital Power and Lotte Fine Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Digital Power and Lotte Fine
The main advantage of trading using opposite Digital Power and Lotte Fine positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Digital Power position performs unexpectedly, Lotte Fine 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 Lotte Fine will offset losses from the drop in Lotte Fine's long position.Digital Power vs. Wonbang Tech Co | Digital Power vs. Daiyang Metal Co | Digital Power vs. Solution Advanced Technology | Digital Power vs. Busan Industrial Co |
Lotte Fine vs. LG Chemicals | Lotte Fine vs. POSCO Holdings | Lotte Fine vs. Hanwha Solutions | Lotte Fine vs. Lotte Chemical Corp |
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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