Correlation Between Visa and MVB Financial
Can any of the company-specific risk be diversified away by investing in both Visa and MVB 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 MVB 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 MVB Financial Corp, you can compare the effects of market volatilities on Visa and MVB 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 MVB Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Visa and MVB Financial.
Diversification Opportunities for Visa and MVB Financial
0.79 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Visa and MVB is 0.79. Overlapping area represents the amount of risk that can be diversified away by holding Visa Class A and MVB Financial Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MVB Financial Corp 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 MVB Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of MVB Financial Corp has no effect on the direction of Visa i.e., Visa and MVB Financial go up and down completely randomly.
Pair Corralation between Visa and MVB Financial
Taking into account the 90-day investment horizon Visa is expected to generate 1.72 times less return on investment than MVB Financial. But when comparing it to its historical volatility, Visa Class A is 4.1 times less risky than MVB Financial. It trades about 0.35 of its potential returns per unit of risk. MVB Financial Corp is currently generating about 0.15 of returns per unit of risk over similar time horizon. If you would invest 1,899 in MVB Financial Corp on September 1, 2024 and sell it today you would earn a total of 259.00 from holding MVB Financial Corp or generate 13.64% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Visa Class A vs. MVB Financial Corp
Performance |
| Timeline |
| Visa Class A |
| MVB Financial Corp |
Visa and MVB Financial Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Visa and MVB Financial
The main advantage of trading using opposite Visa and MVB Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Visa position performs unexpectedly, MVB 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 MVB Financial will offset losses from the drop in MVB Financial's long position.| Visa vs. American Express | Visa vs. PayPal Holdings | Visa vs. Capital One Financial | Visa vs. Upstart Holdings |
| MVB Financial vs. Community West Bancshares | MVB Financial vs. First Financial Northwest | MVB Financial vs. CF Bankshares | MVB Financial vs. Home Federal Bancorp |
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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