Correlation Between GAMING FAC and Carsales
Can any of the company-specific risk be diversified away by investing in both GAMING FAC and Carsales 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 GAMING FAC and Carsales into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between GAMING FAC SA and Carsales, you can compare the effects of market volatilities on GAMING FAC and Carsales 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 GAMING FAC with a short position of Carsales. Check out your portfolio center. Please also check ongoing floating volatility patterns of GAMING FAC and Carsales.
Diversification Opportunities for GAMING FAC and Carsales
-0.25 | Correlation Coefficient |
Very good diversification
The 3 months correlation between GAMING and Carsales is -0.25. Overlapping area represents the amount of risk that can be diversified away by holding GAMING FAC SA and Carsales in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Carsales and GAMING FAC 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 GAMING FAC SA are associated (or correlated) with Carsales. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Carsales has no effect on the direction of GAMING FAC i.e., GAMING FAC and Carsales go up and down completely randomly.
Pair Corralation between GAMING FAC and Carsales
Assuming the 90 days horizon GAMING FAC SA is expected to under-perform the Carsales. In addition to that, GAMING FAC is 2.03 times more volatile than Carsales. It trades about -0.02 of its total potential returns per unit of risk. Carsales is currently generating about 0.07 per unit of volatility. If you would invest 1,596 in Carsales on September 26, 2024 and sell it today you would earn a total of 624.00 from holding Carsales or generate 39.1% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
GAMING FAC SA vs. Carsales
Performance |
Timeline |
GAMING FAC SA |
Carsales |
GAMING FAC and Carsales Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GAMING FAC and Carsales
The main advantage of trading using opposite GAMING FAC and Carsales positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GAMING FAC position performs unexpectedly, Carsales 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 Carsales will offset losses from the drop in Carsales' long position.GAMING FAC vs. MGIC INVESTMENT | GAMING FAC vs. SERI INDUSTRIAL EO | GAMING FAC vs. PennantPark Investment | GAMING FAC vs. SEI INVESTMENTS |
Carsales vs. GAMING FAC SA | Carsales vs. Scientific Games | Carsales vs. Games Workshop Group | Carsales vs. Penn National Gaming |
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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
Other Complementary Tools
Sign In To Macroaxis Sign in to explore Macroaxis' wealth optimization platform and fintech modules | |
Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
Fundamental Analysis View fundamental data based on most recent published financial statements | |
Commodity Channel Use Commodity Channel Index to analyze current equity momentum | |
My Watchlist Analysis Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like |