Correlation Between Lotte Data and AurosTechnology
Can any of the company-specific risk be diversified away by investing in both Lotte Data and AurosTechnology 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 Lotte Data and AurosTechnology into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Lotte Data Communication and AurosTechnology, you can compare the effects of market volatilities on Lotte Data and AurosTechnology 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 Lotte Data with a short position of AurosTechnology. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lotte Data and AurosTechnology.
Diversification Opportunities for Lotte Data and AurosTechnology
0.75 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Lotte and AurosTechnology is 0.75. Overlapping area represents the amount of risk that can be diversified away by holding Lotte Data Communication and AurosTechnology in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on AurosTechnology and Lotte Data 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 Lotte Data Communication are associated (or correlated) with AurosTechnology. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of AurosTechnology has no effect on the direction of Lotte Data i.e., Lotte Data and AurosTechnology go up and down completely randomly.
Pair Corralation between Lotte Data and AurosTechnology
Assuming the 90 days trading horizon Lotte Data Communication is expected to under-perform the AurosTechnology. But the stock apears to be less risky and, when comparing its historical volatility, Lotte Data Communication is 2.16 times less risky than AurosTechnology. The stock trades about -0.12 of its potential returns per unit of risk. The AurosTechnology is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 1,626,000 in AurosTechnology on September 13, 2024 and sell it today you would earn a total of 72,000 from holding AurosTechnology or generate 4.43% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Lotte Data Communication vs. AurosTechnology
Performance |
Timeline |
Lotte Data Communication |
AurosTechnology |
Lotte Data and AurosTechnology Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lotte Data and AurosTechnology
The main advantage of trading using opposite Lotte Data and AurosTechnology positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lotte Data position performs unexpectedly, AurosTechnology 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 AurosTechnology will offset losses from the drop in AurosTechnology's long position.Lotte Data vs. SK Holdings Co | Lotte Data vs. Solution Advanced Technology | Lotte Data vs. Busan Industrial Co | Lotte Data vs. Busan Ind |
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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 Global Correlations module to find global opportunities by holding instruments from different markets.
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