Correlation Between Media and DBS GROUP
Can any of the company-specific risk be diversified away by investing in both Media and DBS GROUP 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 Media and DBS GROUP into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Media and Games and DBS GROUP ADR4, you can compare the effects of market volatilities on Media and DBS GROUP 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 Media with a short position of DBS GROUP. Check out your portfolio center. Please also check ongoing floating volatility patterns of Media and DBS GROUP.
Diversification Opportunities for Media and DBS GROUP
Very good diversification
The 3 months correlation between Media and DBS is -0.5. Overlapping area represents the amount of risk that can be diversified away by holding Media and Games and DBS GROUP ADR4 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on DBS GROUP ADR4 and Media 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 Media and Games are associated (or correlated) with DBS GROUP. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of DBS GROUP ADR4 has no effect on the direction of Media i.e., Media and DBS GROUP go up and down completely randomly.
Pair Corralation between Media and DBS GROUP
Assuming the 90 days trading horizon Media and Games is expected to under-perform the DBS GROUP. In addition to that, Media is 2.95 times more volatile than DBS GROUP ADR4. It trades about -0.05 of its total potential returns per unit of risk. DBS GROUP ADR4 is currently generating about 0.19 per unit of volatility. If you would invest 10,654 in DBS GROUP ADR4 on October 26, 2024 and sell it today you would earn a total of 1,646 from holding DBS GROUP ADR4 or generate 15.45% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Media and Games vs. DBS GROUP ADR4
Performance |
Timeline |
Media and Games |
DBS GROUP ADR4 |
Media and DBS GROUP Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Media and DBS GROUP
The main advantage of trading using opposite Media and DBS GROUP positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Media position performs unexpectedly, DBS GROUP 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 DBS GROUP will offset losses from the drop in DBS GROUP's long position.The idea behind Media and Games and DBS GROUP ADR4 pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.DBS GROUP vs. Infrastrutture Wireless Italiane | DBS GROUP vs. Geely Automobile Holdings | DBS GROUP vs. NURAN WIRELESS INC | DBS GROUP vs. GEELY AUTOMOBILE |
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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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