Correlation Between Sam Chun and Busan Ind
Can any of the company-specific risk be diversified away by investing in both Sam Chun and Busan Ind 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 Sam Chun and Busan Ind into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sam Chun Dang and Busan Ind, you can compare the effects of market volatilities on Sam Chun and Busan Ind 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 Sam Chun with a short position of Busan Ind. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sam Chun and Busan Ind.
Diversification Opportunities for Sam Chun and Busan Ind
Pay attention - limited upside
The 3 months correlation between Sam and Busan is -0.71. Overlapping area represents the amount of risk that can be diversified away by holding Sam Chun Dang and Busan Ind in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Busan Ind and Sam Chun 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 Sam Chun Dang are associated (or correlated) with Busan Ind. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Busan Ind has no effect on the direction of Sam Chun i.e., Sam Chun and Busan Ind go up and down completely randomly.
Pair Corralation between Sam Chun and Busan Ind
Assuming the 90 days trading horizon Sam Chun Dang is expected to generate 1.57 times more return on investment than Busan Ind. However, Sam Chun is 1.57 times more volatile than Busan Ind. It trades about 0.06 of its potential returns per unit of risk. Busan Ind is currently generating about 0.03 per unit of risk. If you would invest 5,820,000 in Sam Chun Dang on September 12, 2024 and sell it today you would earn a total of 3,980,000 from holding Sam Chun Dang or generate 68.38% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Sam Chun Dang vs. Busan Ind
Performance |
| Timeline |
| Sam Chun Dang |
| Busan Ind |
Sam Chun and Busan Ind Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Sam Chun and Busan Ind
The main advantage of trading using opposite Sam Chun and Busan Ind positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sam Chun position performs unexpectedly, Busan Ind 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 Busan Ind will offset losses from the drop in Busan Ind's long position.The idea behind Sam Chun Dang and Busan Ind pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.| Busan Ind vs. Settlebank | Busan Ind vs. Jeju Bank | Busan Ind vs. Daejoo Electronic Materials | Busan Ind vs. InfoBank |
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 USA ETFs module to find actively traded Exchange Traded Funds (ETF) in USA.
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