Correlation Between D MARKET and Sea
Can any of the company-specific risk be diversified away by investing in both D MARKET and Sea 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 D MARKET and Sea into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between D MARKET Electronic Services and Sea, you can compare the effects of market volatilities on D MARKET and Sea 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 D MARKET with a short position of Sea. Check out your portfolio center. Please also check ongoing floating volatility patterns of D MARKET and Sea.
Diversification Opportunities for D MARKET and Sea
Modest diversification
The 3 months correlation between HEPS and Sea is 0.27. Overlapping area represents the amount of risk that can be diversified away by holding D MARKET Electronic Services and Sea in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sea and D MARKET 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 D MARKET Electronic Services are associated (or correlated) with Sea. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sea has no effect on the direction of D MARKET i.e., D MARKET and Sea go up and down completely randomly.
Pair Corralation between D MARKET and Sea
Given the investment horizon of 90 days D MARKET Electronic Services is expected to under-perform the Sea. But the stock apears to be less risky and, when comparing its historical volatility, D MARKET Electronic Services is 1.56 times less risky than Sea. The stock trades about -0.41 of its potential returns per unit of risk. The Sea is currently generating about 0.21 of returns per unit of risk over similar time horizon. If you would invest 9,926 in Sea on August 27, 2024 and sell it today you would earn a total of 1,378 from holding Sea or generate 13.88% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
D MARKET Electronic Services vs. Sea
Performance |
| Timeline |
| D MARKET Electronic |
| Sea |
D MARKET and Sea Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with D MARKET and Sea
The main advantage of trading using opposite D MARKET and Sea positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if D MARKET position performs unexpectedly, Sea 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 Sea will offset losses from the drop in Sea's long position.The idea behind D MARKET Electronic Services and Sea 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.| Sea vs. Atari SA | Sea vs. Victory Square Technologies | Sea vs. Motorsport Gaming Us | Sea vs. Alpha Esports Tech |
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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
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