Correlation Between Vishay Intertechnology and Bank of China
Can any of the company-specific risk be diversified away by investing in both Vishay Intertechnology and Bank of China 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 Vishay Intertechnology and Bank of China into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Vishay Intertechnology and Bank of China, you can compare the effects of market volatilities on Vishay Intertechnology and Bank of China 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 Vishay Intertechnology with a short position of Bank of China. Check out your portfolio center. Please also check ongoing floating volatility patterns of Vishay Intertechnology and Bank of China.
Diversification Opportunities for Vishay Intertechnology and Bank of China
0.04 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Vishay and Bank is 0.04. Overlapping area represents the amount of risk that can be diversified away by holding Vishay Intertechnology and Bank of China in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bank of China and Vishay Intertechnology 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 Vishay Intertechnology are associated (or correlated) with Bank of China. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bank of China has no effect on the direction of Vishay Intertechnology i.e., Vishay Intertechnology and Bank of China go up and down completely randomly.
Pair Corralation between Vishay Intertechnology and Bank of China
Assuming the 90 days trading horizon Vishay Intertechnology is expected to generate 1.57 times more return on investment than Bank of China. However, Vishay Intertechnology is 1.57 times more volatile than Bank of China. It trades about 0.12 of its potential returns per unit of risk. Bank of China is currently generating about 0.14 per unit of risk. If you would invest 1,616 in Vishay Intertechnology on September 12, 2024 and sell it today you would earn a total of 129.00 from holding Vishay Intertechnology or generate 7.98% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Vishay Intertechnology vs. Bank of China
Performance |
Timeline |
Vishay Intertechnology |
Bank of China |
Vishay Intertechnology and Bank of China Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Vishay Intertechnology and Bank of China
The main advantage of trading using opposite Vishay Intertechnology and Bank of China positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Vishay Intertechnology position performs unexpectedly, Bank of China 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 Bank of China will offset losses from the drop in Bank of China's long position.Vishay Intertechnology vs. Apple Inc | Vishay Intertechnology vs. Apple Inc | Vishay Intertechnology vs. Apple Inc | Vishay Intertechnology vs. Apple Inc |
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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 Efficient Frontier module to plot and analyze your portfolio and positions against risk-return landscape of the market..
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