Correlation Between Dongkuk Structures and N Citron
Can any of the company-specific risk be diversified away by investing in both Dongkuk Structures and N Citron 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 Dongkuk Structures and N Citron into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dongkuk Structures Construction and N Citron, you can compare the effects of market volatilities on Dongkuk Structures and N Citron 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 Dongkuk Structures with a short position of N Citron. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dongkuk Structures and N Citron.
Diversification Opportunities for Dongkuk Structures and N Citron
0.9 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Dongkuk and 101400 is 0.9. Overlapping area represents the amount of risk that can be diversified away by holding Dongkuk Structures Constructio and N Citron in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on N Citron and Dongkuk Structures 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 Dongkuk Structures Construction are associated (or correlated) with N Citron. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of N Citron has no effect on the direction of Dongkuk Structures i.e., Dongkuk Structures and N Citron go up and down completely randomly.
Pair Corralation between Dongkuk Structures and N Citron
Assuming the 90 days trading horizon Dongkuk Structures Construction is expected to under-perform the N Citron. In addition to that, Dongkuk Structures is 1.46 times more volatile than N Citron. It trades about -0.11 of its total potential returns per unit of risk. N Citron is currently generating about -0.1 per unit of volatility. If you would invest 47,100 in N Citron on September 12, 2024 and sell it today you would lose (5,700) from holding N Citron or give up 12.1% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Dongkuk Structures Constructio vs. N Citron
Performance |
Timeline |
Dongkuk Structures |
N Citron |
Dongkuk Structures and N Citron Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dongkuk Structures and N Citron
The main advantage of trading using opposite Dongkuk Structures and N Citron positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dongkuk Structures position performs unexpectedly, N Citron 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 N Citron will offset losses from the drop in N Citron's long position.Dongkuk Structures vs. Korea New Network | Dongkuk Structures vs. Solution Advanced Technology | Dongkuk Structures vs. Busan Industrial Co | Dongkuk Structures vs. Busan Ind |
N Citron vs. NICE Information Service | N Citron vs. Jeong Moon Information | N Citron vs. Dongkuk Structures Construction | N Citron vs. Keyang Electric Machinery |
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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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