Correlation Between Khiron Life and Shionogi
Can any of the company-specific risk be diversified away by investing in both Khiron Life and Shionogi 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 Khiron Life and Shionogi into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Khiron Life Sciences and Shionogi Co, you can compare the effects of market volatilities on Khiron Life and Shionogi 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 Khiron Life with a short position of Shionogi. Check out your portfolio center. Please also check ongoing floating volatility patterns of Khiron Life and Shionogi.
Diversification Opportunities for Khiron Life and Shionogi
-0.07 | Correlation Coefficient |
Good diversification
The 3 months correlation between Khiron and Shionogi is -0.07. Overlapping area represents the amount of risk that can be diversified away by holding Khiron Life Sciences and Shionogi Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Shionogi and Khiron Life 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 Khiron Life Sciences are associated (or correlated) with Shionogi. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Shionogi has no effect on the direction of Khiron Life i.e., Khiron Life and Shionogi go up and down completely randomly.
Pair Corralation between Khiron Life and Shionogi
Assuming the 90 days horizon Khiron Life Sciences is expected to generate 6.21 times more return on investment than Shionogi. However, Khiron Life is 6.21 times more volatile than Shionogi Co. It trades about 0.16 of its potential returns per unit of risk. Shionogi Co is currently generating about 0.04 per unit of risk. If you would invest 0.01 in Khiron Life Sciences on September 16, 2024 and sell it today you would earn a total of 0.00 from holding Khiron Life Sciences or generate 0.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Khiron Life Sciences vs. Shionogi Co
Performance |
Timeline |
Khiron Life Sciences |
Shionogi |
Khiron Life and Shionogi Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Khiron Life and Shionogi
The main advantage of trading using opposite Khiron Life and Shionogi positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Khiron Life position performs unexpectedly, Shionogi 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 Shionogi will offset losses from the drop in Shionogi's long position.The idea behind Khiron Life Sciences and Shionogi Co 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.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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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