Correlation Between InfoBank and Dongkuk Structures
Can any of the company-specific risk be diversified away by investing in both InfoBank and Dongkuk Structures 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 InfoBank and Dongkuk Structures into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between InfoBank and Dongkuk Structures Construction, you can compare the effects of market volatilities on InfoBank and Dongkuk Structures 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 InfoBank with a short position of Dongkuk Structures. Check out your portfolio center. Please also check ongoing floating volatility patterns of InfoBank and Dongkuk Structures.
Diversification Opportunities for InfoBank and Dongkuk Structures
0.27 | Correlation Coefficient |
Modest diversification
The 3 months correlation between InfoBank and Dongkuk is 0.27. Overlapping area represents the amount of risk that can be diversified away by holding InfoBank and Dongkuk Structures Constructio in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dongkuk Structures and InfoBank 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 InfoBank are associated (or correlated) with Dongkuk Structures. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dongkuk Structures has no effect on the direction of InfoBank i.e., InfoBank and Dongkuk Structures go up and down completely randomly.
Pair Corralation between InfoBank and Dongkuk Structures
Assuming the 90 days trading horizon InfoBank is expected to under-perform the Dongkuk Structures. In addition to that, InfoBank is 1.32 times more volatile than Dongkuk Structures Construction. It trades about -0.03 of its total potential returns per unit of risk. Dongkuk Structures Construction is currently generating about -0.03 per unit of volatility. If you would invest 239,000 in Dongkuk Structures Construction on October 25, 2024 and sell it today you would lose (3,000) from holding Dongkuk Structures Construction or give up 1.26% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 95.0% |
| Values | Daily Returns |
InfoBank vs. Dongkuk Structures Constructio
Performance |
| Timeline |
| InfoBank |
| Dongkuk Structures |
InfoBank and Dongkuk Structures Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with InfoBank and Dongkuk Structures
The main advantage of trading using opposite InfoBank and Dongkuk Structures positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if InfoBank position performs unexpectedly, Dongkuk Structures 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 Dongkuk Structures will offset losses from the drop in Dongkuk Structures' long position.| InfoBank vs. Samsung Electronics Co | InfoBank vs. Samsung Electronics Co | InfoBank vs. SK Hynix | InfoBank vs. HMM Co |
| Dongkuk Structures vs. Korea Information Communications | Dongkuk Structures vs. Mobileleader CoLtd | Dongkuk Structures vs. Kbi Metal Co | Dongkuk Structures vs. GS Retail 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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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