Correlation Between NH Investment and Doosan Fuel
Can any of the company-specific risk be diversified away by investing in both NH Investment and Doosan Fuel 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 NH Investment and Doosan Fuel into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NH Investment Securities and Doosan Fuel Cell, you can compare the effects of market volatilities on NH Investment and Doosan Fuel 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 NH Investment with a short position of Doosan Fuel. Check out your portfolio center. Please also check ongoing floating volatility patterns of NH Investment and Doosan Fuel.
Diversification Opportunities for NH Investment and Doosan Fuel
0.16 | Correlation Coefficient |
Average diversification
The 3 months correlation between 005940 and Doosan is 0.16. Overlapping area represents the amount of risk that can be diversified away by holding NH Investment Securities and Doosan Fuel Cell in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Doosan Fuel Cell and NH Investment 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 NH Investment Securities are associated (or correlated) with Doosan Fuel. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Doosan Fuel Cell has no effect on the direction of NH Investment i.e., NH Investment and Doosan Fuel go up and down completely randomly.
Pair Corralation between NH Investment and Doosan Fuel
Assuming the 90 days trading horizon NH Investment Securities is expected to under-perform the Doosan Fuel. But the stock apears to be less risky and, when comparing its historical volatility, NH Investment Securities is 1.96 times less risky than Doosan Fuel. The stock trades about -0.12 of its potential returns per unit of risk. The Doosan Fuel Cell is currently generating about 0.09 of returns per unit of risk over similar time horizon. If you would invest 1,679,000 in Doosan Fuel Cell on October 22, 2024 and sell it today you would earn a total of 49,000 from holding Doosan Fuel Cell or generate 2.92% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
NH Investment Securities vs. Doosan Fuel Cell
Performance |
Timeline |
NH Investment Securities |
Doosan Fuel Cell |
NH Investment and Doosan Fuel Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with NH Investment and Doosan Fuel
The main advantage of trading using opposite NH Investment and Doosan Fuel positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NH Investment position performs unexpectedly, Doosan Fuel 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 Doosan Fuel will offset losses from the drop in Doosan Fuel's long position.NH Investment vs. Jeju Beer Co | NH Investment vs. Leaders Technology Investment | NH Investment vs. E Investment Development | NH Investment vs. EBEST Investment Securities |
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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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