Correlation Between Pimco New and Financial Industries
Can any of the company-specific risk be diversified away by investing in both Pimco New and Financial Industries 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 Pimco New and Financial Industries into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Pimco New York and Financial Industries Fund, you can compare the effects of market volatilities on Pimco New and Financial Industries 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 Pimco New with a short position of Financial Industries. Check out your portfolio center. Please also check ongoing floating volatility patterns of Pimco New and Financial Industries.
Diversification Opportunities for Pimco New and Financial Industries
0.58 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Pimco and Financial is 0.58. Overlapping area represents the amount of risk that can be diversified away by holding Pimco New York and Financial Industries Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Financial Industries and Pimco New 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 Pimco New York are associated (or correlated) with Financial Industries. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Financial Industries has no effect on the direction of Pimco New i.e., Pimco New and Financial Industries go up and down completely randomly.
Pair Corralation between Pimco New and Financial Industries
Assuming the 90 days horizon Pimco New York is expected to generate 0.13 times more return on investment than Financial Industries. However, Pimco New York is 7.57 times less risky than Financial Industries. It trades about -0.37 of its potential returns per unit of risk. Financial Industries Fund is currently generating about -0.28 per unit of risk. If you would invest 1,095 in Pimco New York on October 11, 2024 and sell it today you would lose (22.00) from holding Pimco New York or give up 2.01% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Pimco New York vs. Financial Industries Fund
Performance |
Timeline |
Pimco New York |
Financial Industries |
Pimco New and Financial Industries Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Pimco New and Financial Industries
The main advantage of trading using opposite Pimco New and Financial Industries positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Pimco New position performs unexpectedly, Financial Industries 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 Financial Industries will offset losses from the drop in Financial Industries' long position.Pimco New vs. Financial Industries Fund | Pimco New vs. Gabelli Global Financial | Pimco New vs. Blackrock Financial Institutions | Pimco New vs. Transamerica Financial Life |
Financial Industries vs. Enhanced Fixed Income | Financial Industries vs. T Rowe Price | Financial Industries vs. Georgia Tax Free Bond | Financial Industries vs. Metropolitan West Porate |
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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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