Correlation Between Seoul Semiconductor and SK Bioscience
Can any of the company-specific risk be diversified away by investing in both Seoul Semiconductor and SK Bioscience 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 Seoul Semiconductor and SK Bioscience into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Seoul Semiconductor Co and SK Bioscience Co, you can compare the effects of market volatilities on Seoul Semiconductor and SK Bioscience 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 Seoul Semiconductor with a short position of SK Bioscience. Check out your portfolio center. Please also check ongoing floating volatility patterns of Seoul Semiconductor and SK Bioscience.
Diversification Opportunities for Seoul Semiconductor and SK Bioscience
0.75 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Seoul and 302440 is 0.75. Overlapping area represents the amount of risk that can be diversified away by holding Seoul Semiconductor Co and SK Bioscience Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SK Bioscience and Seoul Semiconductor 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 Seoul Semiconductor Co are associated (or correlated) with SK Bioscience. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SK Bioscience has no effect on the direction of Seoul Semiconductor i.e., Seoul Semiconductor and SK Bioscience go up and down completely randomly.
Pair Corralation between Seoul Semiconductor and SK Bioscience
Assuming the 90 days trading horizon Seoul Semiconductor Co is expected to under-perform the SK Bioscience. In addition to that, Seoul Semiconductor is 1.23 times more volatile than SK Bioscience Co. It trades about -0.14 of its total potential returns per unit of risk. SK Bioscience Co is currently generating about -0.07 per unit of volatility. If you would invest 5,550,000 in SK Bioscience Co on August 30, 2024 and sell it today you would lose (655,000) from holding SK Bioscience Co or give up 11.8% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 98.31% |
Values | Daily Returns |
Seoul Semiconductor Co vs. SK Bioscience Co
Performance |
Timeline |
Seoul Semiconductor |
SK Bioscience |
Seoul Semiconductor and SK Bioscience Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Seoul Semiconductor and SK Bioscience
The main advantage of trading using opposite Seoul Semiconductor and SK Bioscience positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Seoul Semiconductor position performs unexpectedly, SK Bioscience 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 SK Bioscience will offset losses from the drop in SK Bioscience's long position.Seoul Semiconductor vs. Daou Data Corp | Seoul Semiconductor vs. Busan Industrial Co | Seoul Semiconductor vs. Busan Ind | Seoul Semiconductor vs. Shinhan WTI Futures |
SK Bioscience vs. Hanmi Semiconductor Co | SK Bioscience vs. Seoul Semiconductor Co | SK Bioscience vs. SCI Information Service | SK Bioscience vs. Nice Information Telecommunication |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
Other Complementary Tools
Performance Analysis Check effects of mean-variance optimization against your current asset allocation | |
Idea Breakdown Analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes | |
Premium Stories Follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope | |
Efficient Frontier Plot and analyze your portfolio and positions against risk-return landscape of the market. | |
Competition Analyzer Analyze and compare many basic indicators for a group of related or unrelated entities |