Correlation Between Samsung Electronics and SundayToz Corp
Can any of the company-specific risk be diversified away by investing in both Samsung Electronics and SundayToz Corp 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 SundayToz Corp 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 SundayToz Corp, you can compare the effects of market volatilities on Samsung Electronics and SundayToz Corp 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 SundayToz Corp. Check out your portfolio center. Please also check ongoing floating volatility patterns of Samsung Electronics and SundayToz Corp.
Diversification Opportunities for Samsung Electronics and SundayToz Corp
0.68 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Samsung and SundayToz is 0.68. Overlapping area represents the amount of risk that can be diversified away by holding Samsung Electronics Co and SundayToz Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SundayToz Corp 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 SundayToz Corp. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SundayToz Corp has no effect on the direction of Samsung Electronics i.e., Samsung Electronics and SundayToz Corp go up and down completely randomly.
Pair Corralation between Samsung Electronics and SundayToz Corp
Assuming the 90 days trading horizon Samsung Electronics Co is expected to generate 0.81 times more return on investment than SundayToz Corp. However, Samsung Electronics Co is 1.24 times less risky than SundayToz Corp. It trades about -0.09 of its potential returns per unit of risk. SundayToz Corp is currently generating about -0.11 per unit of risk. If you would invest 5,090,000 in Samsung Electronics Co on September 29, 2024 and sell it today you would lose (610,000) from holding Samsung Electronics Co or give up 11.98% 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. SundayToz Corp
Performance |
Timeline |
Samsung Electronics |
SundayToz Corp |
Samsung Electronics and SundayToz Corp Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Samsung Electronics and SundayToz Corp
The main advantage of trading using opposite Samsung Electronics and SundayToz Corp positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Samsung Electronics position performs unexpectedly, SundayToz Corp 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 SundayToz Corp will offset losses from the drop in SundayToz Corp's long position.Samsung Electronics vs. LG Corp | Samsung Electronics vs. Zinus Inc | Samsung Electronics vs. Humasis Co | Samsung Electronics vs. JYP Entertainment |
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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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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