Correlation Between Fairfax Fin and GOLDMAN SACHS
Can any of the company-specific risk be diversified away by investing in both Fairfax Fin and GOLDMAN SACHS 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 Fairfax Fin and GOLDMAN SACHS into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Fairfax Fin Hld and GOLDMAN SACHS CDR, you can compare the effects of market volatilities on Fairfax Fin and GOLDMAN SACHS 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 Fairfax Fin with a short position of GOLDMAN SACHS. Check out your portfolio center. Please also check ongoing floating volatility patterns of Fairfax Fin and GOLDMAN SACHS.
Diversification Opportunities for Fairfax Fin and GOLDMAN SACHS
0.33 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Fairfax and GOLDMAN is 0.33. Overlapping area represents the amount of risk that can be diversified away by holding Fairfax Fin Hld and GOLDMAN SACHS CDR in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on GOLDMAN SACHS CDR and Fairfax Fin 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 Fairfax Fin Hld are associated (or correlated) with GOLDMAN SACHS. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of GOLDMAN SACHS CDR has no effect on the direction of Fairfax Fin i.e., Fairfax Fin and GOLDMAN SACHS go up and down completely randomly.
Pair Corralation between Fairfax Fin and GOLDMAN SACHS
Assuming the 90 days trading horizon Fairfax Fin Hld is expected to generate 1.38 times more return on investment than GOLDMAN SACHS. However, Fairfax Fin is 1.38 times more volatile than GOLDMAN SACHS CDR. It trades about 0.15 of its potential returns per unit of risk. GOLDMAN SACHS CDR is currently generating about -0.06 per unit of risk. If you would invest 2,265 in Fairfax Fin Hld on December 2, 2024 and sell it today you would earn a total of 155.00 from holding Fairfax Fin Hld or generate 6.84% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Fairfax Fin Hld vs. GOLDMAN SACHS CDR
Performance |
Timeline |
Fairfax Fin Hld |
GOLDMAN SACHS CDR |
Fairfax Fin and GOLDMAN SACHS Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Fairfax Fin and GOLDMAN SACHS
The main advantage of trading using opposite Fairfax Fin and GOLDMAN SACHS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Fairfax Fin position performs unexpectedly, GOLDMAN SACHS 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 GOLDMAN SACHS will offset losses from the drop in GOLDMAN SACHS's long position.Fairfax Fin vs. Cogeco Communications | Fairfax Fin vs. Primaris Retail RE | Fairfax Fin vs. Canaf Investments | Fairfax Fin vs. Brookfield Asset Management |
GOLDMAN SACHS vs. Firan Technology Group | GOLDMAN SACHS vs. South Pacific Metals | GOLDMAN SACHS vs. HPQ Silicon Resources | GOLDMAN SACHS vs. Empire Metals Corp |
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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