Correlation Between Nomura Holdings and Houlihan Lokey
Can any of the company-specific risk be diversified away by investing in both Nomura Holdings 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 Nomura Holdings and Houlihan Lokey into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Nomura Holdings ADR and Houlihan Lokey, you can compare the effects of market volatilities on Nomura Holdings 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 Nomura Holdings with a short position of Houlihan Lokey. Check out your portfolio center. Please also check ongoing floating volatility patterns of Nomura Holdings and Houlihan Lokey.
Diversification Opportunities for Nomura Holdings and Houlihan Lokey
0.42 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Nomura and Houlihan is 0.42. Overlapping area represents the amount of risk that can be diversified away by holding Nomura Holdings ADR and Houlihan Lokey in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Houlihan Lokey and Nomura Holdings 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 Nomura Holdings ADR 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 Nomura Holdings i.e., Nomura Holdings and Houlihan Lokey go up and down completely randomly.
Pair Corralation between Nomura Holdings and Houlihan Lokey
Considering the 90-day investment horizon Nomura Holdings is expected to generate 1.31 times less return on investment than Houlihan Lokey. In addition to that, Nomura Holdings is 1.27 times more volatile than Houlihan Lokey. It trades about 0.06 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 9,088 in Houlihan Lokey on August 29, 2024 and sell it today you would earn a total of 9,916 from holding Houlihan Lokey or generate 109.11% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Nomura Holdings ADR vs. Houlihan Lokey
Performance |
Timeline |
Nomura Holdings ADR |
Houlihan Lokey |
Nomura Holdings and Houlihan Lokey Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Nomura Holdings and Houlihan Lokey
The main advantage of trading using opposite Nomura Holdings and Houlihan Lokey positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Nomura Holdings 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.Nomura Holdings vs. Perella Weinberg Partners | Nomura Holdings vs. Oppenheimer Holdings | Nomura Holdings vs. Stifel Financial Corp | Nomura Holdings vs. Piper Sandler Companies |
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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 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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