Correlation Between Nam Hwa and Korea New
Can any of the company-specific risk be diversified away by investing in both Nam Hwa and Korea New 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 Nam Hwa and Korea New into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Nam Hwa Construction and Korea New Network, you can compare the effects of market volatilities on Nam Hwa and Korea New 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 Nam Hwa with a short position of Korea New. Check out your portfolio center. Please also check ongoing floating volatility patterns of Nam Hwa and Korea New.
Diversification Opportunities for Nam Hwa and Korea New
Significant diversification
The 3 months correlation between Nam and Korea is 0.02. Overlapping area represents the amount of risk that can be diversified away by holding Nam Hwa Construction and Korea New Network in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Korea New Network and Nam Hwa 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 Nam Hwa Construction are associated (or correlated) with Korea New. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Korea New Network has no effect on the direction of Nam Hwa i.e., Nam Hwa and Korea New go up and down completely randomly.
Pair Corralation between Nam Hwa and Korea New
Assuming the 90 days trading horizon Nam Hwa is expected to generate 3.06 times less return on investment than Korea New. In addition to that, Nam Hwa is 1.33 times more volatile than Korea New Network. It trades about 0.04 of its total potential returns per unit of risk. Korea New Network is currently generating about 0.18 per unit of volatility. If you would invest 72,400 in Korea New Network on September 13, 2024 and sell it today you would earn a total of 18,200 from holding Korea New Network or generate 25.14% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Nam Hwa Construction vs. Korea New Network
Performance |
Timeline |
Nam Hwa Construction |
Korea New Network |
Nam Hwa and Korea New Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Nam Hwa and Korea New
The main advantage of trading using opposite Nam Hwa and Korea New positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Nam Hwa position performs unexpectedly, Korea New 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 Korea New will offset losses from the drop in Korea New's long position.Nam Hwa vs. Korea New Network | Nam Hwa vs. Solution Advanced Technology | Nam Hwa vs. Busan Industrial Co | Nam Hwa vs. Busan Ind |
Korea New vs. CJ Seafood Corp | Korea New vs. FoodNamoo | Korea New vs. FOODWELL Co | Korea New vs. Hankukpackage Co |
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 Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.
Other Complementary Tools
USA ETFs Find actively traded Exchange Traded Funds (ETF) in USA | |
Transaction History View history of all your transactions and understand their impact on performance | |
Price Transformation Use Price Transformation models to analyze the depth of different equity instruments across global markets | |
Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
Content Syndication Quickly integrate customizable finance content to your own investment portal |