Correlation Between Visa and Incar Financial
Can any of the company-specific risk be diversified away by investing in both Visa and Incar Financial 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 Incar Financial 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 Incar Financial Service, you can compare the effects of market volatilities on Visa and Incar Financial 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 Incar Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Visa and Incar Financial.
Diversification Opportunities for Visa and Incar Financial
0.69 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Visa and Incar is 0.69. Overlapping area represents the amount of risk that can be diversified away by holding Visa Class A and Incar Financial Service in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Incar Financial Service 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 Incar Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Incar Financial Service has no effect on the direction of Visa i.e., Visa and Incar Financial go up and down completely randomly.
Pair Corralation between Visa and Incar Financial
Taking into account the 90-day investment horizon Visa is expected to generate 2.31 times less return on investment than Incar Financial. But when comparing it to its historical volatility, Visa Class A is 4.75 times less risky than Incar Financial. It trades about 0.09 of its potential returns per unit of risk. Incar Financial Service is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 653,406 in Incar Financial Service on August 29, 2024 and sell it today you would lose (37,406) from holding Incar Financial Service or give up 5.72% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 95.36% |
| Values | Daily Returns |
Visa Class A vs. Incar Financial Service
Performance |
| Timeline |
| Visa Class A |
| Incar Financial Service |
Visa and Incar Financial Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Visa and Incar Financial
The main advantage of trading using opposite Visa and Incar Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Visa position performs unexpectedly, Incar Financial 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 Incar Financial will offset losses from the drop in Incar Financial's long position.| Visa vs. American Express | Visa vs. PayPal Holdings | Visa vs. Capital One Financial | Visa vs. Upstart Holdings |
| Incar Financial vs. Busan Industrial Co | Incar Financial vs. Busan Ind | Incar Financial vs. Shinhan WTI Futures | Incar Financial vs. Finebesteel |
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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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