Correlation Between Sony and Promotora
Can any of the company-specific risk be diversified away by investing in both Sony and Promotora 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 Sony and Promotora into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sony Group and Promotora y Operadora, you can compare the effects of market volatilities on Sony and Promotora 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 Sony with a short position of Promotora. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sony and Promotora.
Diversification Opportunities for Sony and Promotora
Weak diversification
The 3 months correlation between Sony and Promotora is 0.36. Overlapping area represents the amount of risk that can be diversified away by holding Sony Group and Promotora y Operadora in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Promotora y Operadora and Sony 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 Sony Group are associated (or correlated) with Promotora. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Promotora y Operadora has no effect on the direction of Sony i.e., Sony and Promotora go up and down completely randomly.
Pair Corralation between Sony and Promotora
Assuming the 90 days trading horizon Sony Group is expected to generate 1.07 times more return on investment than Promotora. However, Sony is 1.07 times more volatile than Promotora y Operadora. It trades about 0.17 of its potential returns per unit of risk. Promotora y Operadora is currently generating about 0.03 per unit of risk. If you would invest 37,000 in Sony Group on October 7, 2024 and sell it today you would earn a total of 6,600 from holding Sony Group or generate 17.84% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 93.55% |
Values | Daily Returns |
Sony Group vs. Promotora y Operadora
Performance |
Timeline |
Sony Group |
Promotora y Operadora |
Sony and Promotora Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sony and Promotora
The main advantage of trading using opposite Sony and Promotora positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sony position performs unexpectedly, Promotora 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 Promotora will offset losses from the drop in Promotora's long position.The idea behind Sony Group and Promotora y Operadora 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.Promotora vs. Gruma SAB de | Promotora vs. Grupo Aeroportuario del | Promotora vs. Grupo Aeroportuario del | Promotora vs. Grupo Aeroportuario del |
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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