Correlation Between Fast Retailing and COVIVIO HOTELS
Can any of the company-specific risk be diversified away by investing in both Fast Retailing and COVIVIO HOTELS 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 Fast Retailing and COVIVIO HOTELS into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Fast Retailing Co and COVIVIO HOTELS INH, you can compare the effects of market volatilities on Fast Retailing and COVIVIO HOTELS 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 Fast Retailing with a short position of COVIVIO HOTELS. Check out your portfolio center. Please also check ongoing floating volatility patterns of Fast Retailing and COVIVIO HOTELS.
Diversification Opportunities for Fast Retailing and COVIVIO HOTELS
-0.31 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Fast and COVIVIO is -0.31. Overlapping area represents the amount of risk that can be diversified away by holding Fast Retailing Co and COVIVIO HOTELS INH in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on COVIVIO HOTELS INH and Fast Retailing 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 Fast Retailing Co are associated (or correlated) with COVIVIO HOTELS. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of COVIVIO HOTELS INH has no effect on the direction of Fast Retailing i.e., Fast Retailing and COVIVIO HOTELS go up and down completely randomly.
Pair Corralation between Fast Retailing and COVIVIO HOTELS
Assuming the 90 days trading horizon Fast Retailing Co is expected to under-perform the COVIVIO HOTELS. But the stock apears to be less risky and, when comparing its historical volatility, Fast Retailing Co is 1.01 times less risky than COVIVIO HOTELS. The stock trades about -0.09 of its potential returns per unit of risk. The COVIVIO HOTELS INH is currently generating about 0.09 of returns per unit of risk over similar time horizon. If you would invest 2,120 in COVIVIO HOTELS INH on April 24, 2025 and sell it today you would earn a total of 200.00 from holding COVIVIO HOTELS INH or generate 9.43% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Fast Retailing Co vs. COVIVIO HOTELS INH
Performance |
Timeline |
Fast Retailing |
COVIVIO HOTELS INH |
Fast Retailing and COVIVIO HOTELS Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Fast Retailing and COVIVIO HOTELS
The main advantage of trading using opposite Fast Retailing and COVIVIO HOTELS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Fast Retailing position performs unexpectedly, COVIVIO HOTELS 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 COVIVIO HOTELS will offset losses from the drop in COVIVIO HOTELS's long position.Fast Retailing vs. Parkson Retail Group | Fast Retailing vs. Ross Stores | Fast Retailing vs. ULTRA CLEAN HLDGS | Fast Retailing vs. AEON STORES |
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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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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