Correlation Between Visa and Song Ho
Can any of the company-specific risk be diversified away by investing in both Visa and Song Ho 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 Visa and Song Ho into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Visa Class A and Song Ho Industrial, you can compare the effects of market volatilities on Visa and Song Ho 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 Visa with a short position of Song Ho. Check out your portfolio center. Please also check ongoing floating volatility patterns of Visa and Song Ho.
Diversification Opportunities for Visa and Song Ho
Good diversification
The 3 months correlation between Visa and Song is -0.12. Overlapping area represents the amount of risk that can be diversified away by holding Visa Class A and Song Ho Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Song Ho Industrial and Visa 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 Visa Class A are associated (or correlated) with Song Ho. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Song Ho Industrial has no effect on the direction of Visa i.e., Visa and Song Ho go up and down completely randomly.
Pair Corralation between Visa and Song Ho
Taking into account the 90-day investment horizon Visa Class A is expected to generate 1.42 times more return on investment than Song Ho. However, Visa is 1.42 times more volatile than Song Ho Industrial. It trades about 0.14 of its potential returns per unit of risk. Song Ho Industrial is currently generating about -0.04 per unit of risk. If you would invest 30,825 in Visa Class A on September 15, 2024 and sell it today you would earn a total of 649.00 from holding Visa Class A or generate 2.11% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 95.45% |
Values | Daily Returns |
Visa Class A vs. Song Ho Industrial
Performance |
Timeline |
Visa Class A |
Song Ho Industrial |
Visa and Song Ho Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Visa and Song Ho
The main advantage of trading using opposite Visa and Song Ho positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Visa position performs unexpectedly, Song Ho 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 Song Ho will offset losses from the drop in Song Ho's long position.The idea behind Visa Class A and Song Ho Industrial 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.Song Ho vs. Gigastorage Corp | Song Ho vs. Data International Co | Song Ho vs. Provision Information CoLtd | Song Ho vs. Genovate Biotechnology 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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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