Correlation Between Boston Scientific and Nihon Kohden
Can any of the company-specific risk be diversified away by investing in both Boston Scientific and Nihon Kohden 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 Boston Scientific and Nihon Kohden into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Boston Scientific Corp and Nihon Kohden Corp, you can compare the effects of market volatilities on Boston Scientific and Nihon Kohden 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 Boston Scientific with a short position of Nihon Kohden. Check out your portfolio center. Please also check ongoing floating volatility patterns of Boston Scientific and Nihon Kohden.
Diversification Opportunities for Boston Scientific and Nihon Kohden
-0.49 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Boston and Nihon is -0.49. Overlapping area represents the amount of risk that can be diversified away by holding Boston Scientific Corp and Nihon Kohden Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Nihon Kohden Corp and Boston Scientific 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 Boston Scientific Corp are associated (or correlated) with Nihon Kohden. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Nihon Kohden Corp has no effect on the direction of Boston Scientific i.e., Boston Scientific and Nihon Kohden go up and down completely randomly.
Pair Corralation between Boston Scientific and Nihon Kohden
Considering the 90-day investment horizon Boston Scientific Corp is expected to generate 0.21 times more return on investment than Nihon Kohden. However, Boston Scientific Corp is 4.72 times less risky than Nihon Kohden. It trades about 0.12 of its potential returns per unit of risk. Nihon Kohden Corp is currently generating about -0.01 per unit of risk. If you would invest 8,380 in Boston Scientific Corp on September 30, 2024 and sell it today you would earn a total of 686.00 from holding Boston Scientific Corp or generate 8.19% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Boston Scientific Corp vs. Nihon Kohden Corp
Performance |
Timeline |
Boston Scientific Corp |
Nihon Kohden Corp |
Boston Scientific and Nihon Kohden Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Boston Scientific and Nihon Kohden
The main advantage of trading using opposite Boston Scientific and Nihon Kohden positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Boston Scientific position performs unexpectedly, Nihon Kohden 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 Nihon Kohden will offset losses from the drop in Nihon Kohden's long position.Boston Scientific vs. Stryker | Boston Scientific vs. Abbott Laboratories | Boston Scientific vs. Medtronic PLC | Boston Scientific vs. DexCom Inc |
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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