Correlation Between JSC Halyk and Ameriprise Financial
Can any of the company-specific risk be diversified away by investing in both JSC Halyk and Ameriprise Financial 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 JSC Halyk and Ameriprise Financial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between JSC Halyk bank and Ameriprise Financial, you can compare the effects of market volatilities on JSC Halyk and Ameriprise Financial 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 JSC Halyk with a short position of Ameriprise Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of JSC Halyk and Ameriprise Financial.
Diversification Opportunities for JSC Halyk and Ameriprise Financial
0.89 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between JSC and Ameriprise is 0.89. Overlapping area represents the amount of risk that can be diversified away by holding JSC Halyk bank and Ameriprise Financial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ameriprise Financial and JSC Halyk 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 JSC Halyk bank are associated (or correlated) with Ameriprise Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ameriprise Financial has no effect on the direction of JSC Halyk i.e., JSC Halyk and Ameriprise Financial go up and down completely randomly.
Pair Corralation between JSC Halyk and Ameriprise Financial
Assuming the 90 days trading horizon JSC Halyk is expected to generate 2.12 times less return on investment than Ameriprise Financial. In addition to that, JSC Halyk is 1.92 times more volatile than Ameriprise Financial. It trades about 0.06 of its total potential returns per unit of risk. Ameriprise Financial is currently generating about 0.24 per unit of volatility. If you would invest 40,192 in Ameriprise Financial on September 1, 2024 and sell it today you would earn a total of 13,828 from holding Ameriprise Financial or generate 34.4% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
JSC Halyk bank vs. Ameriprise Financial
Performance |
Timeline |
JSC Halyk bank |
Ameriprise Financial |
JSC Halyk and Ameriprise Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with JSC Halyk and Ameriprise Financial
The main advantage of trading using opposite JSC Halyk and Ameriprise Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if JSC Halyk position performs unexpectedly, Ameriprise Financial 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 Ameriprise Financial will offset losses from the drop in Ameriprise Financial's long position.JSC Halyk vs. Automatic Data Processing | JSC Halyk vs. Cass Information Systems | JSC Halyk vs. TELES Informationstechnologien AG | JSC Halyk vs. Hyrican Informationssysteme Aktiengesellschaft |
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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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