Correlation Between Samsung Electronics and Aprogen KIC
Can any of the company-specific risk be diversified away by investing in both Samsung Electronics and Aprogen KIC 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 Samsung Electronics and Aprogen KIC into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Samsung Electronics Co and Aprogen KIC, you can compare the effects of market volatilities on Samsung Electronics and Aprogen KIC 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 Samsung Electronics with a short position of Aprogen KIC. Check out your portfolio center. Please also check ongoing floating volatility patterns of Samsung Electronics and Aprogen KIC.
Diversification Opportunities for Samsung Electronics and Aprogen KIC
0.79 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Samsung and Aprogen is 0.79. Overlapping area represents the amount of risk that can be diversified away by holding Samsung Electronics Co and Aprogen KIC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Aprogen KIC and Samsung Electronics 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 Samsung Electronics Co are associated (or correlated) with Aprogen KIC. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Aprogen KIC has no effect on the direction of Samsung Electronics i.e., Samsung Electronics and Aprogen KIC go up and down completely randomly.
Pair Corralation between Samsung Electronics and Aprogen KIC
Assuming the 90 days trading horizon Samsung Electronics Co is expected to generate 0.32 times more return on investment than Aprogen KIC. However, Samsung Electronics Co is 3.1 times less risky than Aprogen KIC. It trades about -0.32 of its potential returns per unit of risk. Aprogen KIC is currently generating about -0.25 per unit of risk. If you would invest 4,880,000 in Samsung Electronics Co on September 22, 2024 and sell it today you would lose (575,000) from holding Samsung Electronics Co or give up 11.78% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Samsung Electronics Co vs. Aprogen KIC
Performance |
Timeline |
Samsung Electronics |
Aprogen KIC |
Samsung Electronics and Aprogen KIC Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Samsung Electronics and Aprogen KIC
The main advantage of trading using opposite Samsung Electronics and Aprogen KIC positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Samsung Electronics position performs unexpectedly, Aprogen KIC 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 Aprogen KIC will offset losses from the drop in Aprogen KIC's long position.Samsung Electronics vs. LG Corp | Samsung Electronics vs. Solution Advanced Technology | Samsung Electronics vs. Busan Industrial Co | Samsung Electronics vs. Busan Ind |
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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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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