Correlation Between BIT Computer and Lotte Chilsung
Can any of the company-specific risk be diversified away by investing in both BIT Computer and Lotte Chilsung 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 BIT Computer and Lotte Chilsung into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between BIT Computer Co and Lotte Chilsung Beverage, you can compare the effects of market volatilities on BIT Computer and Lotte Chilsung 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 BIT Computer with a short position of Lotte Chilsung. Check out your portfolio center. Please also check ongoing floating volatility patterns of BIT Computer and Lotte Chilsung.
Diversification Opportunities for BIT Computer and Lotte Chilsung
0.9 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between BIT and Lotte is 0.9. Overlapping area represents the amount of risk that can be diversified away by holding BIT Computer Co and Lotte Chilsung Beverage in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lotte Chilsung Beverage and BIT Computer 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 BIT Computer Co are associated (or correlated) with Lotte Chilsung. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lotte Chilsung Beverage has no effect on the direction of BIT Computer i.e., BIT Computer and Lotte Chilsung go up and down completely randomly.
Pair Corralation between BIT Computer and Lotte Chilsung
Assuming the 90 days trading horizon BIT Computer Co is expected to under-perform the Lotte Chilsung. In addition to that, BIT Computer is 1.3 times more volatile than Lotte Chilsung Beverage. It trades about -0.05 of its total potential returns per unit of risk. Lotte Chilsung Beverage is currently generating about -0.02 per unit of volatility. If you would invest 12,930,000 in Lotte Chilsung Beverage on September 1, 2024 and sell it today you would lose (850,000) from holding Lotte Chilsung Beverage or give up 6.57% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
BIT Computer Co vs. Lotte Chilsung Beverage
Performance |
| Timeline |
| BIT Computer |
| Lotte Chilsung Beverage |
BIT Computer and Lotte Chilsung Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with BIT Computer and Lotte Chilsung
The main advantage of trading using opposite BIT Computer and Lotte Chilsung positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BIT Computer position performs unexpectedly, Lotte Chilsung 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 Chilsung will offset losses from the drop in Lotte Chilsung's long position.| BIT Computer vs. AptaBio Therapeutics | BIT Computer vs. KT Hitel | BIT Computer vs. SillaJen | BIT Computer vs. Cytogen |
| Lotte Chilsung vs. EV Advanced Material | Lotte Chilsung vs. DAEDUCK ELECTRONICS CoLtd | Lotte Chilsung vs. Hansol Homedeco Co | Lotte Chilsung vs. Hyundai Engineering Plastics |
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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