Correlation Between Lazard Equity and Lazard Small
Can any of the company-specific risk be diversified away by investing in both Lazard Equity and Lazard Small 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 Lazard Equity and Lazard Small into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Lazard Equity Franchise and Lazard Small Mid Cap, you can compare the effects of market volatilities on Lazard Equity and Lazard Small 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 Lazard Equity with a short position of Lazard Small. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lazard Equity and Lazard Small.
Diversification Opportunities for Lazard Equity and Lazard Small
-0.42 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Lazard and Lazard is -0.42. Overlapping area represents the amount of risk that can be diversified away by holding Lazard Equity Franchise and Lazard Small Mid Cap in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lazard Small Mid and Lazard Equity 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 Lazard Equity Franchise are associated (or correlated) with Lazard Small. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lazard Small Mid has no effect on the direction of Lazard Equity i.e., Lazard Equity and Lazard Small go up and down completely randomly.
Pair Corralation between Lazard Equity and Lazard Small
Assuming the 90 days horizon Lazard Equity Franchise is expected to under-perform the Lazard Small. But the mutual fund apears to be less risky and, when comparing its historical volatility, Lazard Equity Franchise is 1.65 times less risky than Lazard Small. The mutual fund trades about -0.06 of its potential returns per unit of risk. The Lazard Small Mid Cap is currently generating about 0.16 of returns per unit of risk over similar time horizon. If you would invest 1,120 in Lazard Small Mid Cap on September 5, 2024 and sell it today you would earn a total of 132.00 from holding Lazard Small Mid Cap or generate 11.79% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Lazard Equity Franchise vs. Lazard Small Mid Cap
Performance |
Timeline |
Lazard Equity Franchise |
Lazard Small Mid |
Lazard Equity and Lazard Small Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lazard Equity and Lazard Small
The main advantage of trading using opposite Lazard Equity and Lazard Small positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lazard Equity position performs unexpectedly, Lazard Small 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 Lazard Small will offset losses from the drop in Lazard Small's long position.Lazard Equity vs. Lazard Global Dynamic | Lazard Equity vs. Lazard Global Dynamic | Lazard Equity vs. Lazard International Quality | Lazard Equity vs. Lazard Small Mid Cap |
Lazard Small vs. Lazard Global Dynamic | Lazard Small vs. Lazard Global Dynamic | Lazard Small vs. Lazard International Quality | Lazard Small vs. Lazard Equity Franchise |
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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