Correlation Between 456680 and MiraeAsset TIGER
Can any of the company-specific risk be diversified away by investing in both 456680 and MiraeAsset TIGER 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 456680 and MiraeAsset TIGER into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between 456680 and MiraeAsset TIGER Synth Morningstar, you can compare the effects of market volatilities on 456680 and MiraeAsset TIGER 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 456680 with a short position of MiraeAsset TIGER. Check out your portfolio center. Please also check ongoing floating volatility patterns of 456680 and MiraeAsset TIGER.
Diversification Opportunities for 456680 and MiraeAsset TIGER
0.27 | Correlation Coefficient |
Modest diversification
The 3 months correlation between 456680 and MiraeAsset is 0.27. Overlapping area represents the amount of risk that can be diversified away by holding 456680 and MiraeAsset TIGER Synth Morning in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MiraeAsset TIGER Synth and 456680 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 456680 are associated (or correlated) with MiraeAsset TIGER. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of MiraeAsset TIGER Synth has no effect on the direction of 456680 i.e., 456680 and MiraeAsset TIGER go up and down completely randomly.
Pair Corralation between 456680 and MiraeAsset TIGER
Assuming the 90 days trading horizon 456680 is expected to generate 1.81 times more return on investment than MiraeAsset TIGER. However, 456680 is 1.81 times more volatile than MiraeAsset TIGER Synth Morningstar. It trades about 0.22 of its potential returns per unit of risk. MiraeAsset TIGER Synth Morningstar is currently generating about -0.03 per unit of risk. If you would invest 570,000 in 456680 on September 27, 2024 and sell it today you would earn a total of 60,000 from holding 456680 or generate 10.53% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 95.65% |
Values | Daily Returns |
456680 vs. MiraeAsset TIGER Synth Morning
Performance |
Timeline |
456680 |
MiraeAsset TIGER Synth |
456680 and MiraeAsset TIGER Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with 456680 and MiraeAsset TIGER
The main advantage of trading using opposite 456680 and MiraeAsset TIGER positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if 456680 position performs unexpectedly, MiraeAsset TIGER 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 MiraeAsset TIGER will offset losses from the drop in MiraeAsset TIGER's long position.456680 vs. Busan Industrial Co | 456680 vs. Busan Ind | 456680 vs. Mirae Asset Daewoo | 456680 vs. Shinhan WTI Futures |
MiraeAsset TIGER vs. 456680 | MiraeAsset TIGER vs. Busan Industrial Co | MiraeAsset TIGER vs. Busan Ind | MiraeAsset TIGER vs. Mirae Asset Daewoo |
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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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