Correlation Between Samsung Electronics and Lotte Rental
Can any of the company-specific risk be diversified away by investing in both Samsung Electronics and Lotte Rental 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 Lotte Rental 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 Lotte Rental Co, you can compare the effects of market volatilities on Samsung Electronics and Lotte Rental 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 Lotte Rental. Check out your portfolio center. Please also check ongoing floating volatility patterns of Samsung Electronics and Lotte Rental.
Diversification Opportunities for Samsung Electronics and Lotte Rental
-0.15 | Correlation Coefficient |
Good diversification
The 3 months correlation between Samsung and Lotte is -0.15. Overlapping area represents the amount of risk that can be diversified away by holding Samsung Electronics Co and Lotte Rental Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lotte Rental 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 Lotte Rental. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lotte Rental has no effect on the direction of Samsung Electronics i.e., Samsung Electronics and Lotte Rental go up and down completely randomly.
Pair Corralation between Samsung Electronics and Lotte Rental
Assuming the 90 days trading horizon Samsung Electronics Co is expected to under-perform the Lotte Rental. But the stock apears to be less risky and, when comparing its historical volatility, Samsung Electronics Co is 1.06 times less risky than Lotte Rental. The stock trades about -0.08 of its potential returns per unit of risk. The Lotte Rental Co is currently generating about -0.03 of returns per unit of risk over similar time horizon. If you would invest 2,940,000 in Lotte Rental Co on October 22, 2024 and sell it today you would lose (165,000) from holding Lotte Rental Co or give up 5.61% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Samsung Electronics Co vs. Lotte Rental Co
Performance |
Timeline |
Samsung Electronics |
Lotte Rental |
Samsung Electronics and Lotte Rental Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Samsung Electronics and Lotte Rental
The main advantage of trading using opposite Samsung Electronics and Lotte Rental positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Samsung Electronics position performs unexpectedly, Lotte Rental 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 Lotte Rental will offset losses from the drop in Lotte Rental's long position.Samsung Electronics vs. Kukdong Oil Chemicals | Samsung Electronics vs. Sung Bo Chemicals | Samsung Electronics vs. Dongbang Transport Logistics | Samsung Electronics vs. Hanjin Transportation Co |
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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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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