Correlation Between Large Company and Small Pany
Can any of the company-specific risk be diversified away by investing in both Large Company and Small Pany 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 Large Company and Small Pany into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Large Pany Value and Small Pany Value, you can compare the effects of market volatilities on Large Company and Small Pany 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 Large Company with a short position of Small Pany. Check out your portfolio center. Please also check ongoing floating volatility patterns of Large Company and Small Pany.
Diversification Opportunities for Large Company and Small Pany
0.92 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Large and Small is 0.92. Overlapping area represents the amount of risk that can be diversified away by holding Large Pany Value and Small Pany Value in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Small Pany Value and Large Company 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 Large Pany Value are associated (or correlated) with Small Pany. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Small Pany Value has no effect on the direction of Large Company i.e., Large Company and Small Pany go up and down completely randomly.
Pair Corralation between Large Company and Small Pany
Assuming the 90 days horizon Large Pany Value is expected to generate 0.63 times more return on investment than Small Pany. However, Large Pany Value is 1.58 times less risky than Small Pany. It trades about 0.08 of its potential returns per unit of risk. Small Pany Value is currently generating about 0.05 per unit of risk. If you would invest 1,754 in Large Pany Value on September 5, 2024 and sell it today you would earn a total of 656.00 from holding Large Pany Value or generate 37.4% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 99.8% |
Values | Daily Returns |
Large Pany Value vs. Small Pany Value
Performance |
Timeline |
Large Pany Value |
Small Pany Value |
Large Company and Small Pany Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Large Company and Small Pany
The main advantage of trading using opposite Large Company and Small Pany positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Large Company position performs unexpectedly, Small Pany 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 Small Pany will offset losses from the drop in Small Pany's long position.Large Company vs. Multimedia Portfolio Multimedia | Large Company vs. Artisan Select Equity | Large Company vs. Small Cap Equity | Large Company vs. Ab Select Equity |
Small Pany vs. Small Pany Growth | Small Pany vs. Large Pany Value | Small Pany vs. Small Pany Value | Small Pany vs. Large Pany Growth |
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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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