Correlation Between Lotte Data and Songwon Industrial
Can any of the company-specific risk be diversified away by investing in both Lotte Data and Songwon Industrial 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 Songwon Industrial 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 Songwon Industrial Co, you can compare the effects of market volatilities on Lotte Data and Songwon Industrial 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 Songwon Industrial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lotte Data and Songwon Industrial.
Diversification Opportunities for Lotte Data and Songwon Industrial
0.57 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Lotte and Songwon is 0.57. Overlapping area represents the amount of risk that can be diversified away by holding Lotte Data Communication and Songwon Industrial Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Songwon Industrial 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 Songwon Industrial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Songwon Industrial has no effect on the direction of Lotte Data i.e., Lotte Data and Songwon Industrial go up and down completely randomly.
Pair Corralation between Lotte Data and Songwon Industrial
Assuming the 90 days trading horizon Lotte Data Communication is expected to generate 1.31 times more return on investment than Songwon Industrial. However, Lotte Data is 1.31 times more volatile than Songwon Industrial Co. It trades about 0.01 of its potential returns per unit of risk. Songwon Industrial Co is currently generating about -0.02 per unit of risk. If you would invest 2,309,466 in Lotte Data Communication on September 19, 2024 and sell it today you would lose (299,466) from holding Lotte Data Communication or give up 12.97% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Lotte Data Communication vs. Songwon Industrial Co
Performance |
Timeline |
Lotte Data Communication |
Songwon Industrial |
Lotte Data and Songwon Industrial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lotte Data and Songwon Industrial
The main advantage of trading using opposite Lotte Data and Songwon Industrial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lotte Data position performs unexpectedly, Songwon Industrial 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 Songwon Industrial will offset losses from the drop in Songwon Industrial'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 |
Songwon Industrial vs. Daol Investment Securities | Songwon Industrial vs. Korea Investment Holdings | Songwon Industrial vs. Koryo Credit Information | Songwon Industrial vs. Lotte Data 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 Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.
Other Complementary Tools
Portfolio File Import Quickly import all of your third-party portfolios from your local drive in csv format | |
AI Portfolio Architect Use AI to generate optimal portfolios and find profitable investment opportunities | |
Piotroski F Score Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals | |
Financial Widgets Easily integrated Macroaxis content with over 30 different plug-and-play financial widgets | |
Competition Analyzer Analyze and compare many basic indicators for a group of related or unrelated entities |