Correlation Between Legg Mason and Alps/kotak India
Can any of the company-specific risk be diversified away by investing in both Legg Mason and Alps/kotak India 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 Legg Mason and Alps/kotak India into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Legg Mason Global and Alpskotak India Growth, you can compare the effects of market volatilities on Legg Mason and Alps/kotak India 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 Legg Mason with a short position of Alps/kotak India. Check out your portfolio center. Please also check ongoing floating volatility patterns of Legg Mason and Alps/kotak India.
Diversification Opportunities for Legg Mason and Alps/kotak India
0.44 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Legg and Alps/kotak is 0.44. Overlapping area represents the amount of risk that can be diversified away by holding Legg Mason Global and Alpskotak India Growth in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Alpskotak India Growth and Legg Mason 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 Legg Mason Global are associated (or correlated) with Alps/kotak India. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Alpskotak India Growth has no effect on the direction of Legg Mason i.e., Legg Mason and Alps/kotak India go up and down completely randomly.
Pair Corralation between Legg Mason and Alps/kotak India
Assuming the 90 days horizon Legg Mason is expected to generate 2.06 times less return on investment than Alps/kotak India. But when comparing it to its historical volatility, Legg Mason Global is 3.41 times less risky than Alps/kotak India. It trades about 0.15 of its potential returns per unit of risk. Alpskotak India Growth is currently generating about 0.09 of returns per unit of risk over similar time horizon. If you would invest 1,745 in Alpskotak India Growth on August 29, 2025 and sell it today you would earn a total of 61.00 from holding Alpskotak India Growth or generate 3.5% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Legg Mason Global vs. Alpskotak India Growth
Performance |
| Timeline |
| Legg Mason Global |
| Alpskotak India Growth |
Legg Mason and Alps/kotak India Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Legg Mason and Alps/kotak India
The main advantage of trading using opposite Legg Mason and Alps/kotak India positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Legg Mason position performs unexpectedly, Alps/kotak India 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 Alps/kotak India will offset losses from the drop in Alps/kotak India's long position.| Legg Mason vs. Putnam Global Technology | Legg Mason vs. Nationwide Bailard Technology | Legg Mason vs. Technology Ultrasector Profund | Legg Mason vs. Janus Global Technology |
| Alps/kotak India vs. Fisher Fixed Income | Alps/kotak India vs. Artisan Select Equity | Alps/kotak India vs. Sterling Capital Behavioral | Alps/kotak India vs. Dreyfusstandish Global Fixed |
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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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