Correlation Between Daesung Industrial and THiRA UTECH
Can any of the company-specific risk be diversified away by investing in both Daesung Industrial and THiRA UTECH 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 Daesung Industrial and THiRA UTECH into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Daesung Industrial Co and THiRA UTECH LTD, you can compare the effects of market volatilities on Daesung Industrial and THiRA UTECH 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 Daesung Industrial with a short position of THiRA UTECH. Check out your portfolio center. Please also check ongoing floating volatility patterns of Daesung Industrial and THiRA UTECH.
Diversification Opportunities for Daesung Industrial and THiRA UTECH
-0.2 | Correlation Coefficient |
Good diversification
The 3 months correlation between Daesung and THiRA is -0.2. Overlapping area represents the amount of risk that can be diversified away by holding Daesung Industrial Co and THiRA UTECH LTD in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on THiRA UTECH LTD and Daesung Industrial 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 Daesung Industrial Co are associated (or correlated) with THiRA UTECH. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of THiRA UTECH LTD has no effect on the direction of Daesung Industrial i.e., Daesung Industrial and THiRA UTECH go up and down completely randomly.
Pair Corralation between Daesung Industrial and THiRA UTECH
Assuming the 90 days trading horizon Daesung Industrial is expected to generate 7.38 times less return on investment than THiRA UTECH. But when comparing it to its historical volatility, Daesung Industrial Co is 1.99 times less risky than THiRA UTECH. It trades about 0.04 of its potential returns per unit of risk. THiRA UTECH LTD is currently generating about 0.13 of returns per unit of risk over similar time horizon. If you would invest 441,500 in THiRA UTECH LTD on December 24, 2024 and sell it today you would earn a total of 123,500 from holding THiRA UTECH LTD or generate 27.97% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Daesung Industrial Co vs. THiRA UTECH LTD
Performance |
Timeline |
Daesung Industrial |
THiRA UTECH LTD |
Daesung Industrial and THiRA UTECH Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Daesung Industrial and THiRA UTECH
The main advantage of trading using opposite Daesung Industrial and THiRA UTECH positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Daesung Industrial position performs unexpectedly, THiRA UTECH 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 THiRA UTECH will offset losses from the drop in THiRA UTECH's long position.Daesung Industrial vs. AptaBio Therapeutics | Daesung Industrial vs. Daewoo SBI SPAC | Daesung Industrial vs. Dream Security co | Daesung Industrial vs. Microfriend |
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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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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