Correlation Between Nam Hwa and Lotte Data
Can any of the company-specific risk be diversified away by investing in both Nam Hwa 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 Nam Hwa and Lotte Data into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Nam Hwa Construction and Lotte Data Communication, you can compare the effects of market volatilities on Nam Hwa 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 Nam Hwa with a short position of Lotte Data. Check out your portfolio center. Please also check ongoing floating volatility patterns of Nam Hwa and Lotte Data.
Diversification Opportunities for Nam Hwa and Lotte Data
-0.13 | Correlation Coefficient |
Good diversification
The 3 months correlation between Nam and Lotte is -0.13. Overlapping area represents the amount of risk that can be diversified away by holding Nam Hwa Construction 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 Nam Hwa 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 Nam Hwa Construction 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 Nam Hwa i.e., Nam Hwa and Lotte Data go up and down completely randomly.
Pair Corralation between Nam Hwa and Lotte Data
Assuming the 90 days trading horizon Nam Hwa Construction is expected to generate 1.28 times more return on investment than Lotte Data. However, Nam Hwa is 1.28 times more volatile than Lotte Data Communication. It trades about 0.01 of its potential returns per unit of risk. Lotte Data Communication is currently generating about -0.08 per unit of risk. If you would invest 412,964 in Nam Hwa Construction on October 8, 2024 and sell it today you would lose (6,964) from holding Nam Hwa Construction or give up 1.69% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Nam Hwa Construction vs. Lotte Data Communication
Performance |
Timeline |
Nam Hwa Construction |
Lotte Data Communication |
Nam Hwa and Lotte Data Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Nam Hwa and Lotte Data
The main advantage of trading using opposite Nam Hwa and Lotte Data positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Nam Hwa 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.Nam Hwa vs. Hankuk Steel Wire | Nam Hwa vs. INFINITT Healthcare Co | Nam Hwa vs. Dong A Steel Technology | Nam Hwa vs. Han Kook Steel |
Lotte Data vs. Dongwoo Farm To | Lotte Data vs. Semyung Electric Machinery | Lotte Data vs. Miwon Chemical | Lotte Data vs. Seohee Construction Co |
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 Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.
Other Complementary Tools
Insider Screener Find insiders across different sectors to evaluate their impact on performance | |
Content Syndication Quickly integrate customizable finance content to your own investment portal | |
Funds Screener Find actively-traded funds from around the world traded on over 30 global exchanges | |
Portfolio Optimization Compute new portfolio that will generate highest expected return given your specified tolerance for risk | |
ETFs Find actively traded Exchange Traded Funds (ETF) from around the world |