Correlation Between BIT Computer and Lotte Data
Can any of the company-specific risk be diversified away by investing in both BIT Computer 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 BIT Computer and Lotte Data 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 Data Communication, you can compare the effects of market volatilities on BIT Computer 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 BIT Computer with a short position of Lotte Data. Check out your portfolio center. Please also check ongoing floating volatility patterns of BIT Computer and Lotte Data.
Diversification Opportunities for BIT Computer and Lotte Data
0.56 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between BIT and Lotte is 0.56. Overlapping area represents the amount of risk that can be diversified away by holding BIT Computer 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 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 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 BIT Computer i.e., BIT Computer and Lotte Data go up and down completely randomly.
Pair Corralation between BIT Computer and Lotte Data
Assuming the 90 days trading horizon BIT Computer Co is expected to generate 0.89 times more return on investment than Lotte Data. However, BIT Computer Co is 1.12 times less risky than Lotte Data. It trades about 0.01 of its potential returns per unit of risk. Lotte Data Communication is currently generating about -0.02 per unit of risk. If you would invest 539,224 in BIT Computer Co on September 21, 2024 and sell it today you would lose (26,224) from holding BIT Computer Co or give up 4.86% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
BIT Computer Co vs. Lotte Data Communication
Performance |
Timeline |
BIT Computer |
Lotte Data Communication |
BIT Computer and Lotte Data Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with BIT Computer and Lotte Data
The main advantage of trading using opposite BIT Computer and Lotte Data positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BIT Computer 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.BIT Computer vs. Samsung Electronics Co | BIT Computer vs. Samsung Electronics Co | BIT Computer vs. SK Hynix | BIT Computer vs. SK Holdings Co |
Lotte Data vs. BIT Computer Co | Lotte Data vs. Samyang Foods Co | Lotte Data vs. Sempio Foods Co | Lotte Data vs. Ssangyong Information Communication |
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.
Other Complementary Tools
Odds Of Bankruptcy Get analysis of equity chance of financial distress in the next 2 years | |
Premium Stories Follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope | |
Portfolio Suggestion Get suggestions outside of your existing asset allocation including your own model portfolios | |
Portfolio Optimization Compute new portfolio that will generate highest expected return given your specified tolerance for risk | |
Price Ceiling Movement Calculate and plot Price Ceiling Movement for different equity instruments |