Correlation Between Aurora World and Taewoong Logistics
Can any of the company-specific risk be diversified away by investing in both Aurora World and Taewoong Logistics 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 Aurora World and Taewoong Logistics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Aurora World and Taewoong Logistics CoLtd, you can compare the effects of market volatilities on Aurora World and Taewoong Logistics 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 Aurora World with a short position of Taewoong Logistics. Check out your portfolio center. Please also check ongoing floating volatility patterns of Aurora World and Taewoong Logistics.
Diversification Opportunities for Aurora World and Taewoong Logistics
-0.33 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Aurora and Taewoong is -0.33. Overlapping area represents the amount of risk that can be diversified away by holding Aurora World and Taewoong Logistics CoLtd in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Taewoong Logistics CoLtd and Aurora World 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 Aurora World are associated (or correlated) with Taewoong Logistics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Taewoong Logistics CoLtd has no effect on the direction of Aurora World i.e., Aurora World and Taewoong Logistics go up and down completely randomly.
Pair Corralation between Aurora World and Taewoong Logistics
Assuming the 90 days trading horizon Aurora World is expected to under-perform the Taewoong Logistics. But the stock apears to be less risky and, when comparing its historical volatility, Aurora World is 2.31 times less risky than Taewoong Logistics. The stock trades about -0.05 of its potential returns per unit of risk. The Taewoong Logistics CoLtd is currently generating about -0.01 of returns per unit of risk over similar time horizon. If you would invest 350,500 in Taewoong Logistics CoLtd on September 25, 2024 and sell it today you would lose (56,000) from holding Taewoong Logistics CoLtd or give up 15.98% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 99.59% |
Values | Daily Returns |
Aurora World vs. Taewoong Logistics CoLtd
Performance |
Timeline |
Aurora World |
Taewoong Logistics CoLtd |
Aurora World and Taewoong Logistics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Aurora World and Taewoong Logistics
The main advantage of trading using opposite Aurora World and Taewoong Logistics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Aurora World position performs unexpectedly, Taewoong Logistics 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 Taewoong Logistics will offset losses from the drop in Taewoong Logistics' long position.Aurora World vs. Woori Technology Investment | Aurora World vs. Samsung Card Co | Aurora World vs. Korea Real Estate | Aurora World vs. CHOROKBAEM PANY Co |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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