Correlation Between UNISEM and Hwaseung Industries
Can any of the company-specific risk be diversified away by investing in both UNISEM and Hwaseung Industries 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 UNISEM and Hwaseung Industries into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between UNISEM Co and Hwaseung Industries Co, you can compare the effects of market volatilities on UNISEM and Hwaseung Industries 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 UNISEM with a short position of Hwaseung Industries. Check out your portfolio center. Please also check ongoing floating volatility patterns of UNISEM and Hwaseung Industries.
Diversification Opportunities for UNISEM and Hwaseung Industries
-0.37 | Correlation Coefficient |
Very good diversification
The 3 months correlation between UNISEM and Hwaseung is -0.37. Overlapping area represents the amount of risk that can be diversified away by holding UNISEM Co and Hwaseung Industries Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hwaseung Industries and UNISEM 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 UNISEM Co are associated (or correlated) with Hwaseung Industries. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hwaseung Industries has no effect on the direction of UNISEM i.e., UNISEM and Hwaseung Industries go up and down completely randomly.
Pair Corralation between UNISEM and Hwaseung Industries
Assuming the 90 days trading horizon UNISEM Co is expected to under-perform the Hwaseung Industries. In addition to that, UNISEM is 2.16 times more volatile than Hwaseung Industries Co. It trades about -0.03 of its total potential returns per unit of risk. Hwaseung Industries Co is currently generating about 0.07 per unit of volatility. If you would invest 338,067 in Hwaseung Industries Co on September 8, 2024 and sell it today you would earn a total of 91,433 from holding Hwaseung Industries Co or generate 27.05% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
UNISEM Co vs. Hwaseung Industries Co
Performance |
| Timeline |
| UNISEM |
| Hwaseung Industries |
UNISEM and Hwaseung Industries Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with UNISEM and Hwaseung Industries
The main advantage of trading using opposite UNISEM and Hwaseung Industries positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if UNISEM position performs unexpectedly, Hwaseung Industries 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 Hwaseung Industries will offset losses from the drop in Hwaseung Industries' long position.| UNISEM vs. Daeduck Electronics Co | UNISEM vs. Eagon Industrial Co | UNISEM vs. Cuckoo Electronics Co | UNISEM vs. Seoul Broadcasting System |
| Hwaseung Industries vs. Samlip General Foods | Hwaseung Industries vs. CJ Seafood Corp | Hwaseung Industries vs. LG Household Healthcare | Hwaseung Industries vs. Haitai Confectionery Foods |
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 Bollinger Bands module to use Bollinger Bands indicator to analyze target price for a given investing horizon.
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