Correlation Between Small Cap and Quantitative Longshort
Can any of the company-specific risk be diversified away by investing in both Small Cap and Quantitative Longshort 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 Small Cap and Quantitative Longshort into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Small Cap Equity and Quantitative Longshort Equity, you can compare the effects of market volatilities on Small Cap and Quantitative Longshort 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 Small Cap with a short position of Quantitative Longshort. Check out your portfolio center. Please also check ongoing floating volatility patterns of Small Cap and Quantitative Longshort.
Diversification Opportunities for Small Cap and Quantitative Longshort
0.86 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Small and Quantitative is 0.86. Overlapping area represents the amount of risk that can be diversified away by holding Small Cap Equity and Quantitative Longshort Equity in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Quantitative Longshort and Small Cap 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 Small Cap Equity are associated (or correlated) with Quantitative Longshort. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Quantitative Longshort has no effect on the direction of Small Cap i.e., Small Cap and Quantitative Longshort go up and down completely randomly.
Pair Corralation between Small Cap and Quantitative Longshort
Assuming the 90 days horizon Small Cap Equity is expected to generate 2.81 times more return on investment than Quantitative Longshort. However, Small Cap is 2.81 times more volatile than Quantitative Longshort Equity. It trades about 0.23 of its potential returns per unit of risk. Quantitative Longshort Equity is currently generating about 0.36 per unit of risk. If you would invest 1,789 in Small Cap Equity on October 24, 2024 and sell it today you would earn a total of 79.00 from holding Small Cap Equity or generate 4.42% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
Small Cap Equity vs. Quantitative Longshort Equity
Performance |
| Timeline |
| Small Cap Equity |
| Quantitative Longshort |
Small Cap and Quantitative Longshort Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Small Cap and Quantitative Longshort
The main advantage of trading using opposite Small Cap and Quantitative Longshort positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Small Cap position performs unexpectedly, Quantitative Longshort 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 Quantitative Longshort will offset losses from the drop in Quantitative Longshort's long position.| Small Cap vs. Rbc Global Equity | Small Cap vs. Dreyfusstandish Global Fixed | Small Cap vs. Wisdomtree Siegel Global | Small Cap vs. Templeton Global Balanced |
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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