Correlation Between JYP Entertainment and Moonbae Steel
Can any of the company-specific risk be diversified away by investing in both JYP Entertainment and Moonbae Steel 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 JYP Entertainment and Moonbae Steel into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between JYP Entertainment Corp and Moonbae Steel, you can compare the effects of market volatilities on JYP Entertainment and Moonbae Steel 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 JYP Entertainment with a short position of Moonbae Steel. Check out your portfolio center. Please also check ongoing floating volatility patterns of JYP Entertainment and Moonbae Steel.
Diversification Opportunities for JYP Entertainment and Moonbae Steel
0.11 | Correlation Coefficient |
Average diversification
The 3 months correlation between JYP and Moonbae is 0.11. Overlapping area represents the amount of risk that can be diversified away by holding JYP Entertainment Corp and Moonbae Steel in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Moonbae Steel and JYP Entertainment 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 JYP Entertainment Corp are associated (or correlated) with Moonbae Steel. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Moonbae Steel has no effect on the direction of JYP Entertainment i.e., JYP Entertainment and Moonbae Steel go up and down completely randomly.
Pair Corralation between JYP Entertainment and Moonbae Steel
Assuming the 90 days trading horizon JYP Entertainment Corp is expected to generate 1.09 times more return on investment than Moonbae Steel. However, JYP Entertainment is 1.09 times more volatile than Moonbae Steel. It trades about 0.16 of its potential returns per unit of risk. Moonbae Steel is currently generating about -0.01 per unit of risk. If you would invest 5,180,000 in JYP Entertainment Corp on October 8, 2024 and sell it today you would earn a total of 1,600,000 from holding JYP Entertainment Corp or generate 30.89% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
JYP Entertainment Corp vs. Moonbae Steel
Performance |
Timeline |
JYP Entertainment Corp |
Moonbae Steel |
JYP Entertainment and Moonbae Steel Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with JYP Entertainment and Moonbae Steel
The main advantage of trading using opposite JYP Entertainment and Moonbae Steel positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if JYP Entertainment position performs unexpectedly, Moonbae Steel 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 Moonbae Steel will offset losses from the drop in Moonbae Steel's long position.JYP Entertainment vs. Daejung Chemicals Metals | JYP Entertainment vs. BGF Retail Co | JYP Entertainment vs. Haitai Confectionery Foods | JYP Entertainment vs. FOODWELL 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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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