Correlation Between Small Pany and Emerging Markets
Can any of the company-specific risk be diversified away by investing in both Small Pany and Emerging Markets 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 Pany and Emerging Markets into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Small Pany Fund and Emerging Markets Fund, you can compare the effects of market volatilities on Small Pany and Emerging Markets 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 Pany with a short position of Emerging Markets. Check out your portfolio center. Please also check ongoing floating volatility patterns of Small Pany and Emerging Markets.
Diversification Opportunities for Small Pany and Emerging Markets
-0.37 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Small and Emerging is -0.37. Overlapping area represents the amount of risk that can be diversified away by holding Small Pany Fund and Emerging Markets Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Emerging Markets and Small Pany 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 Pany Fund are associated (or correlated) with Emerging Markets. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Emerging Markets has no effect on the direction of Small Pany i.e., Small Pany and Emerging Markets go up and down completely randomly.
Pair Corralation between Small Pany and Emerging Markets
Assuming the 90 days horizon Small Pany Fund is expected to generate 1.23 times more return on investment than Emerging Markets. However, Small Pany is 1.23 times more volatile than Emerging Markets Fund. It trades about 0.08 of its potential returns per unit of risk. Emerging Markets Fund is currently generating about 0.03 per unit of risk. If you would invest 1,621 in Small Pany Fund on September 15, 2024 and sell it today you would earn a total of 89.00 from holding Small Pany Fund or generate 5.49% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Small Pany Fund vs. Emerging Markets Fund
Performance |
Timeline |
Small Pany Fund |
Emerging Markets |
Small Pany and Emerging Markets Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Small Pany and Emerging Markets
The main advantage of trading using opposite Small Pany and Emerging Markets positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Small Pany position performs unexpectedly, Emerging Markets 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 Emerging Markets will offset losses from the drop in Emerging Markets' long position.Small Pany vs. Small Cap Value | Small Pany vs. Real Estate Fund | Small Pany vs. Emerging Markets Fund | Small Pany vs. Equity Growth Fund |
Emerging Markets vs. Heritage Fund Investor | Emerging Markets vs. Real Estate Fund | Emerging Markets vs. Global Growth Fund | Emerging Markets vs. Utilities Fund Investor |
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.
Other Complementary Tools
Fundamental Analysis View fundamental data based on most recent published financial statements | |
Price Transformation Use Price Transformation models to analyze the depth of different equity instruments across global markets | |
Correlation Analysis Reduce portfolio risk simply by holding instruments which are not perfectly correlated | |
ETF Categories List of ETF categories grouped based on various criteria, such as the investment strategy or type of investments | |
Fundamentals Comparison Compare fundamentals across multiple equities to find investing opportunities |