Correlation Between TK Chemical and Lotte Data
Can any of the company-specific risk be diversified away by investing in both TK Chemical and Lotte Data 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 TK Chemical and Lotte Data into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between TK Chemical and Lotte Data Communication, you can compare the effects of market volatilities on TK Chemical and Lotte Data 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 TK Chemical with a short position of Lotte Data. Check out your portfolio center. Please also check ongoing floating volatility patterns of TK Chemical and Lotte Data.
Diversification Opportunities for TK Chemical and Lotte Data
0.7 | Correlation Coefficient |
Poor diversification
The 3 months correlation between 104480 and Lotte is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding TK Chemical and Lotte Data Communication in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lotte Data Communication and TK Chemical 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 TK Chemical are associated (or correlated) with Lotte Data. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lotte Data Communication has no effect on the direction of TK Chemical i.e., TK Chemical and Lotte Data go up and down completely randomly.
Pair Corralation between TK Chemical and Lotte Data
Assuming the 90 days trading horizon TK Chemical is expected to generate 0.66 times more return on investment than Lotte Data. However, TK Chemical is 1.52 times less risky than Lotte Data. It trades about -0.08 of its potential returns per unit of risk. Lotte Data Communication is currently generating about -0.06 per unit of risk. If you would invest 173,700 in TK Chemical on September 19, 2024 and sell it today you would lose (35,100) from holding TK Chemical or give up 20.21% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
TK Chemical vs. Lotte Data Communication
Performance |
Timeline |
TK Chemical |
Lotte Data Communication |
TK Chemical and Lotte Data Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with TK Chemical and Lotte Data
The main advantage of trading using opposite TK Chemical and Lotte Data positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if TK Chemical position performs unexpectedly, Lotte Data 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 Lotte Data will offset losses from the drop in Lotte Data's long position.TK Chemical vs. Lotte Data Communication | TK Chemical vs. Kakao Games Corp | TK Chemical vs. Dongkuk Structures Construction | TK Chemical vs. Innowireless Co |
Lotte Data vs. SK Holdings Co | Lotte Data vs. Solution Advanced Technology | Lotte Data vs. Busan Industrial Co | Lotte Data vs. Busan Ind |
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 Positions Ratings module to determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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