Correlation Between Selective Insurance and Fast Retailing
Can any of the company-specific risk be diversified away by investing in both Selective Insurance and Fast Retailing 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 Selective Insurance and Fast Retailing into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Selective Insurance Group and Fast Retailing Co, you can compare the effects of market volatilities on Selective Insurance and Fast Retailing 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 Selective Insurance with a short position of Fast Retailing. Check out your portfolio center. Please also check ongoing floating volatility patterns of Selective Insurance and Fast Retailing.
Diversification Opportunities for Selective Insurance and Fast Retailing
0.49 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Selective and Fast is 0.49. Overlapping area represents the amount of risk that can be diversified away by holding Selective Insurance Group and Fast Retailing Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fast Retailing and Selective Insurance 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 Selective Insurance Group are associated (or correlated) with Fast Retailing. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fast Retailing has no effect on the direction of Selective Insurance i.e., Selective Insurance and Fast Retailing go up and down completely randomly.
Pair Corralation between Selective Insurance and Fast Retailing
Assuming the 90 days horizon Selective Insurance is expected to generate 41.33 times less return on investment than Fast Retailing. But when comparing it to its historical volatility, Selective Insurance Group is 1.0 times less risky than Fast Retailing. It trades about 0.0 of its potential returns per unit of risk. Fast Retailing Co is currently generating about 0.09 of returns per unit of risk over similar time horizon. If you would invest 22,400 in Fast Retailing Co on September 14, 2024 and sell it today you would earn a total of 11,260 from holding Fast Retailing Co or generate 50.27% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Selective Insurance Group vs. Fast Retailing Co
Performance |
Timeline |
Selective Insurance |
Fast Retailing |
Selective Insurance and Fast Retailing Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Selective Insurance and Fast Retailing
The main advantage of trading using opposite Selective Insurance and Fast Retailing positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Selective Insurance position performs unexpectedly, Fast Retailing 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 Fast Retailing will offset losses from the drop in Fast Retailing's long position.Selective Insurance vs. Insurance Australia Group | Selective Insurance vs. Superior Plus Corp | Selective Insurance vs. SIVERS SEMICONDUCTORS AB | Selective Insurance vs. CHINA HUARONG ENERHD 50 |
Fast Retailing vs. Apple Inc | Fast Retailing vs. Apple Inc | Fast Retailing vs. Apple Inc | Fast Retailing vs. Apple 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.
Other Complementary Tools
Correlation Analysis Reduce portfolio risk simply by holding instruments which are not perfectly correlated | |
Alpha Finder Use alpha and beta coefficients to find investment opportunities after accounting for the risk | |
Volatility Analysis Get historical volatility and risk analysis based on latest market data | |
Stock Tickers Use high-impact, comprehensive, and customizable stock tickers that can be easily integrated to any websites | |
Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum |