Correlation Between Old Westbury and Financial Industries
Can any of the company-specific risk be diversified away by investing in both Old Westbury 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 Old Westbury and Financial Industries into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Old Westbury Small and Financial Industries Fund, you can compare the effects of market volatilities on Old Westbury 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 Old Westbury with a short position of Financial Industries. Check out your portfolio center. Please also check ongoing floating volatility patterns of Old Westbury and Financial Industries.
Diversification Opportunities for Old Westbury and Financial Industries
0.84 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Old and Financial is 0.84. Overlapping area represents the amount of risk that can be diversified away by holding Old Westbury Small and Financial Industries Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Financial Industries and Old Westbury 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 Old Westbury Small 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 Old Westbury i.e., Old Westbury and Financial Industries go up and down completely randomly.
Pair Corralation between Old Westbury and Financial Industries
Assuming the 90 days horizon Old Westbury is expected to generate 1.42 times less return on investment than Financial Industries. But when comparing it to its historical volatility, Old Westbury Small is 1.51 times less risky than Financial Industries. It trades about 0.0 of its potential returns per unit of risk. Financial Industries Fund is currently generating about 0.0 of returns per unit of risk over similar time horizon. If you would invest 1,835 in Financial Industries Fund on December 25, 2024 and sell it today you would lose (3.00) from holding Financial Industries Fund or give up 0.16% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 98.33% |
Values | Daily Returns |
Old Westbury Small vs. Financial Industries Fund
Performance |
Timeline |
Old Westbury Small |
Financial Industries |
Old Westbury and Financial Industries Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Old Westbury and Financial Industries
The main advantage of trading using opposite Old Westbury and Financial Industries positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Old Westbury 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.Old Westbury vs. Tax Managed International Equity | Old Westbury vs. Fuhkbx | Old Westbury vs. Ab Value Fund | Old Westbury vs. Ftufox |
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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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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