Correlation Between Tae Kyung and Keum Kang
Can any of the company-specific risk be diversified away by investing in both Tae Kyung and Keum Kang 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 Tae Kyung and Keum Kang into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Tae Kyung Chemical and Keum Kang Steel, you can compare the effects of market volatilities on Tae Kyung and Keum Kang 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 Tae Kyung with a short position of Keum Kang. Check out your portfolio center. Please also check ongoing floating volatility patterns of Tae Kyung and Keum Kang.
Diversification Opportunities for Tae Kyung and Keum Kang
Very weak diversification
The 3 months correlation between Tae and Keum is 0.54. Overlapping area represents the amount of risk that can be diversified away by holding Tae Kyung Chemical and Keum Kang Steel in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Keum Kang Steel and Tae Kyung 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 Tae Kyung Chemical are associated (or correlated) with Keum Kang. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Keum Kang Steel has no effect on the direction of Tae Kyung i.e., Tae Kyung and Keum Kang go up and down completely randomly.
Pair Corralation between Tae Kyung and Keum Kang
Assuming the 90 days trading horizon Tae Kyung Chemical is expected to generate 0.41 times more return on investment than Keum Kang. However, Tae Kyung Chemical is 2.47 times less risky than Keum Kang. It trades about 0.01 of its potential returns per unit of risk. Keum Kang Steel is currently generating about -0.12 per unit of risk. If you would invest 1,095,000 in Tae Kyung Chemical on August 29, 2024 and sell it today you would earn a total of 0.00 from holding Tae Kyung Chemical or generate 0.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Tae Kyung Chemical vs. Keum Kang Steel
Performance |
Timeline |
Tae Kyung Chemical |
Keum Kang Steel |
Tae Kyung and Keum Kang Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Tae Kyung and Keum Kang
The main advantage of trading using opposite Tae Kyung and Keum Kang positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Tae Kyung position performs unexpectedly, Keum Kang 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 Keum Kang will offset losses from the drop in Keum Kang's long position.Tae Kyung vs. Seoul Electronics Telecom | Tae Kyung vs. Samsung Publishing Co | Tae Kyung vs. Visang Education | Tae Kyung vs. Hannong Chemicals |
Keum Kang vs. LG Chemicals | Keum Kang vs. Lotte Chemical Corp | Keum Kang vs. Hyundai Steel | Keum Kang vs. Seah Steel 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 Anywhere module to track or share privately all of your investments from the convenience of any device.
Other Complementary Tools
Financial Widgets Easily integrated Macroaxis content with over 30 different plug-and-play financial widgets | |
Alpha Finder Use alpha and beta coefficients to find investment opportunities after accounting for the risk | |
Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
Investing Opportunities Build portfolios using our predefined set of ideas and optimize them against your investing preferences | |
Correlation Analysis Reduce portfolio risk simply by holding instruments which are not perfectly correlated |