Correlation Between Western Union and Houlihan Lokey
Can any of the company-specific risk be diversified away by investing in both Western Union and Houlihan Lokey 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 Western Union and Houlihan Lokey into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Western Union Co and Houlihan Lokey, you can compare the effects of market volatilities on Western Union and Houlihan Lokey 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 Western Union with a short position of Houlihan Lokey. Check out your portfolio center. Please also check ongoing floating volatility patterns of Western Union and Houlihan Lokey.
Diversification Opportunities for Western Union and Houlihan Lokey
-0.78 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Western and Houlihan is -0.78. Overlapping area represents the amount of risk that can be diversified away by holding Western Union Co and Houlihan Lokey in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Houlihan Lokey and Western Union 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 Western Union Co are associated (or correlated) with Houlihan Lokey. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Houlihan Lokey has no effect on the direction of Western Union i.e., Western Union and Houlihan Lokey go up and down completely randomly.
Pair Corralation between Western Union and Houlihan Lokey
Allowing for the 90-day total investment horizon Western Union Co is expected to under-perform the Houlihan Lokey. In addition to that, Western Union is 1.05 times more volatile than Houlihan Lokey. It trades about 0.0 of its total potential returns per unit of risk. Houlihan Lokey is currently generating about 0.11 per unit of volatility. If you would invest 9,039 in Houlihan Lokey on August 30, 2024 and sell it today you would earn a total of 9,704 from holding Houlihan Lokey or generate 107.36% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Western Union Co vs. Houlihan Lokey
Performance |
| Timeline |
| Western Union |
| Houlihan Lokey |
Western Union and Houlihan Lokey Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Western Union and Houlihan Lokey
The main advantage of trading using opposite Western Union and Houlihan Lokey positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Western Union position performs unexpectedly, Houlihan Lokey 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 Houlihan Lokey will offset losses from the drop in Houlihan Lokey's long position.| Western Union vs. American Express | Western Union vs. PayPal Holdings | Western Union vs. Capital One Financial | Western Union vs. Upstart Holdings |
| Houlihan Lokey vs. Lazard | Houlihan Lokey vs. PJT Partners | Houlihan Lokey vs. Moelis Co | Houlihan Lokey vs. Piper Sandler Companies |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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