Correlation Between U Media and Taiwan Weighted

Can any of the company-specific risk be diversified away by investing in both U Media and Taiwan Weighted 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 U Media and Taiwan Weighted into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between U Media Communications and Taiwan Weighted, you can compare the effects of market volatilities on U Media and Taiwan Weighted 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 U Media with a short position of Taiwan Weighted. Check out your portfolio center. Please also check ongoing floating volatility patterns of U Media and Taiwan Weighted.

Diversification Opportunities for U Media and Taiwan Weighted

0.18

Correlation Coefficient

U Media  Taiwan Weighted

Average diversification

The 3 months correlation between 6470 and Taiwan is 0.18. Overlapping area represents the amount of risk that can be diversified away by holding U Media Communications and Taiwan Weighted in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Taiwan Weighted and U Media 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 U Media Communications are associated (or correlated) with Taiwan Weighted. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Taiwan Weighted has no effect on the direction of U Media i.e., U Media and Taiwan Weighted go up and down completely randomly.

Pair Corralation between U Media and Taiwan Weighted

Assuming the 90 days trading horizon U Media is expected to generate 14.55 times less return on investment than Taiwan Weighted. In addition to that, U Media is 2.63 times more volatile than Taiwan Weighted. It trades about 0.0 of its total potential returns per unit of risk. Taiwan Weighted is currently generating about 0.11 per unit of volatility. If you would invest  2,167,884  in Taiwan Weighted on September 18, 2024 and sell it today you would earn a total of  136,106  from holding Taiwan Weighted or generate 6.28% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Insignificant
Accuracy	95.24%
Values	Daily Returns

U Media Communications  vs.  Taiwan Weighted

Pair Trading with U Media and Taiwan Weighted

The main advantage of trading using opposite U Media and Taiwan Weighted positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if U Media position performs unexpectedly, Taiwan Weighted 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 Taiwan Weighted will offset losses from the drop in Taiwan Weighted's long position.

The idea behind U Media Communications and Taiwan Weighted pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.

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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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.