Correlation Between Hanshin Construction and Lotte Data
Can any of the company-specific risk be diversified away by investing in both Hanshin Construction 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 Hanshin Construction and Lotte Data into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Hanshin Construction Co and Lotte Data Communication, you can compare the effects of market volatilities on Hanshin Construction 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 Hanshin Construction with a short position of Lotte Data. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hanshin Construction and Lotte Data.
Diversification Opportunities for Hanshin Construction and Lotte Data
0.37 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Hanshin and Lotte is 0.37. Overlapping area represents the amount of risk that can be diversified away by holding Hanshin Construction Co 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 Hanshin Construction 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 Hanshin Construction Co 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 Hanshin Construction i.e., Hanshin Construction and Lotte Data go up and down completely randomly.
Pair Corralation between Hanshin Construction and Lotte Data
Assuming the 90 days trading horizon Hanshin Construction Co is expected to generate 1.07 times more return on investment than Lotte Data. However, Hanshin Construction is 1.07 times more volatile than Lotte Data Communication. It trades about 0.0 of its potential returns per unit of risk. Lotte Data Communication is currently generating about -0.12 per unit of risk. If you would invest 690,000 in Hanshin Construction Co on September 21, 2024 and sell it today you would lose (15,000) from holding Hanshin Construction Co or give up 2.17% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Hanshin Construction Co vs. Lotte Data Communication
Performance |
Timeline |
Hanshin Construction |
Lotte Data Communication |
Hanshin Construction and Lotte Data Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hanshin Construction and Lotte Data
The main advantage of trading using opposite Hanshin Construction and Lotte Data positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hanshin Construction 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.Hanshin Construction vs. Samsung Electronics Co | Hanshin Construction vs. Samsung Electronics Co | Hanshin Construction vs. SK Hynix | Hanshin Construction vs. POSCO Holdings |
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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 Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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