Correlation Between City Lodge and We Buy
Can any of the company-specific risk be diversified away by investing in both City Lodge and We Buy 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 City Lodge and We Buy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between City Lodge Hotels and We Buy Cars, you can compare the effects of market volatilities on City Lodge and We Buy 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 City Lodge with a short position of We Buy. Check out your portfolio center. Please also check ongoing floating volatility patterns of City Lodge and We Buy.
Diversification Opportunities for City Lodge and We Buy
0.27 | Correlation Coefficient |
Modest diversification
The 3 months correlation between City and WBC is 0.27. Overlapping area represents the amount of risk that can be diversified away by holding City Lodge Hotels and We Buy Cars in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on We Buy Cars and City Lodge 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 City Lodge Hotels are associated (or correlated) with We Buy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of We Buy Cars has no effect on the direction of City Lodge i.e., City Lodge and We Buy go up and down completely randomly.
Pair Corralation between City Lodge and We Buy
Assuming the 90 days trading horizon City Lodge is expected to generate 20.85 times less return on investment than We Buy. But when comparing it to its historical volatility, City Lodge Hotels is 1.12 times less risky than We Buy. It trades about 0.01 of its potential returns per unit of risk. We Buy Cars is currently generating about 0.22 of returns per unit of risk over similar time horizon. If you would invest 202,891 in We Buy Cars on September 23, 2024 and sell it today you would earn a total of 227,209 from holding We Buy Cars or generate 111.99% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 35.83% |
Values | Daily Returns |
City Lodge Hotels vs. We Buy Cars
Performance |
Timeline |
City Lodge Hotels |
We Buy Cars |
City Lodge and We Buy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with City Lodge and We Buy
The main advantage of trading using opposite City Lodge and We Buy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if City Lodge position performs unexpectedly, We Buy 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 We Buy will offset losses from the drop in We Buy's long position.City Lodge vs. Capitec Bank Holdings | City Lodge vs. Astoria Investments | City Lodge vs. Kumba Iron Ore | City Lodge vs. Ascendis Health |
We Buy vs. E Media Holdings | We Buy vs. Bytes Technology | We Buy vs. Harmony Gold Mining | We Buy vs. African Media Entertainment |
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 Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas.
Other Complementary Tools
Price Transformation Use Price Transformation models to analyze the depth of different equity instruments across global markets | |
Pair Correlation Compare performance and examine fundamental relationship between any two equity instruments | |
Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
Balance Of Power Check stock momentum by analyzing Balance Of Power indicator and other technical ratios | |
Equity Search Search for actively traded equities including funds and ETFs from over 30 global markets |