Correlation Between Nasdaq and Poongsan
Can any of the company-specific risk be diversified away by investing in both Nasdaq and Poongsan 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 Nasdaq and Poongsan into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Nasdaq Inc and Poongsan, you can compare the effects of market volatilities on Nasdaq and Poongsan 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 Nasdaq with a short position of Poongsan. Check out your portfolio center. Please also check ongoing floating volatility patterns of Nasdaq and Poongsan.
Diversification Opportunities for Nasdaq and Poongsan
Excellent diversification
The 3 months correlation between Nasdaq and Poongsan is -0.67. Overlapping area represents the amount of risk that can be diversified away by holding Nasdaq Inc and Poongsan in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Poongsan and Nasdaq 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 Nasdaq Inc are associated (or correlated) with Poongsan. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Poongsan has no effect on the direction of Nasdaq i.e., Nasdaq and Poongsan go up and down completely randomly.
Pair Corralation between Nasdaq and Poongsan
Given the investment horizon of 90 days Nasdaq is expected to generate 1.9 times less return on investment than Poongsan. But when comparing it to its historical volatility, Nasdaq Inc is 1.89 times less risky than Poongsan. It trades about 0.05 of its potential returns per unit of risk. Poongsan is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 3,295,000 in Poongsan on September 23, 2024 and sell it today you would earn a total of 1,650,000 from holding Poongsan or generate 50.08% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 97.59% |
Values | Daily Returns |
Nasdaq Inc vs. Poongsan
Performance |
Timeline |
Nasdaq Inc |
Poongsan |
Nasdaq and Poongsan Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Nasdaq and Poongsan
The main advantage of trading using opposite Nasdaq and Poongsan positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Nasdaq position performs unexpectedly, Poongsan 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 Poongsan will offset losses from the drop in Poongsan's long position.The idea behind Nasdaq Inc and Poongsan 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.Poongsan vs. LG Chemicals | Poongsan vs. POSCO Holdings | Poongsan vs. Hanwha Solutions | Poongsan vs. Lotte Chemical Corp |
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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