Correlation Between NAU IB and Korea Information
Can any of the company-specific risk be diversified away by investing in both NAU IB and Korea Information 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 NAU IB and Korea Information into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NAU IB Capital and Korea Information Engineering, you can compare the effects of market volatilities on NAU IB and Korea Information 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 NAU IB with a short position of Korea Information. Check out your portfolio center. Please also check ongoing floating volatility patterns of NAU IB and Korea Information.
Diversification Opportunities for NAU IB and Korea Information
0.27 | Correlation Coefficient |
Modest diversification
The 3 months correlation between NAU and Korea is 0.27. Overlapping area represents the amount of risk that can be diversified away by holding NAU IB Capital and Korea Information Engineering in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Korea Information and NAU IB 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 NAU IB Capital are associated (or correlated) with Korea Information. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Korea Information has no effect on the direction of NAU IB i.e., NAU IB and Korea Information go up and down completely randomly.
Pair Corralation between NAU IB and Korea Information
Assuming the 90 days trading horizon NAU IB Capital is expected to under-perform the Korea Information. In addition to that, NAU IB is 1.34 times more volatile than Korea Information Engineering. It trades about -0.37 of its total potential returns per unit of risk. Korea Information Engineering is currently generating about 0.09 per unit of volatility. If you would invest 251,000 in Korea Information Engineering on November 3, 2024 and sell it today you would earn a total of 7,000 from holding Korea Information Engineering or generate 2.79% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
NAU IB Capital vs. Korea Information Engineering
Performance |
| Timeline |
| NAU IB Capital |
| Korea Information |
NAU IB and Korea Information Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with NAU IB and Korea Information
The main advantage of trading using opposite NAU IB and Korea Information positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NAU IB position performs unexpectedly, Korea Information 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 Information will offset losses from the drop in Korea Information's long position.| NAU IB vs. Pureun Mutual Savings | NAU IB vs. Jb Financial | NAU IB vs. Jeong Moon Information | NAU IB vs. Korea Information Engineering |
| Korea Information vs. BIT Computer Co | Korea Information vs. Daesung Hi Tech Co | Korea Information vs. Dongil Metal Co | Korea Information vs. Display Tech 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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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