Correlation Between GigaMedia and Bank of New York Mellon

Can any of the company-specific risk be diversified away by investing in both GigaMedia and Bank of New York Mellon 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 GigaMedia and Bank of New York Mellon into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between GigaMedia and The Bank of, you can compare the effects of market volatilities on GigaMedia and Bank of New York Mellon 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 GigaMedia with a short position of Bank of New York Mellon. Check out your portfolio center. Please also check ongoing floating volatility patterns of GigaMedia and Bank of New York Mellon.

Diversification Opportunities for GigaMedia and Bank of New York Mellon

0.64

Correlation Coefficient

GigaMedia  Bank of New York Mellon

Poor diversification

The 3 months correlation between GigaMedia and Bank is 0.64. Overlapping area represents the amount of risk that can be diversified away by holding GigaMedia and The Bank of in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bank of New York Mellon and GigaMedia 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 GigaMedia are associated (or correlated) with Bank of New York Mellon. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bank of New York Mellon has no effect on the direction of GigaMedia i.e., GigaMedia and Bank of New York Mellon go up and down completely randomly.

Pair Corralation between GigaMedia and Bank of New York Mellon

Assuming the 90 days trading horizon GigaMedia is expected to generate 1.97 times more return on investment than Bank of New York Mellon. However, GigaMedia is 1.97 times more volatile than The Bank of. It trades about 0.18 of its potential returns per unit of risk. The Bank of is currently generating about 0.25 per unit of risk. If you would invest  134.00  in GigaMedia on October 20, 2024 and sell it today you would earn a total of  14.00  from holding GigaMedia or generate 10.45% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Significant
Accuracy	100.0%
Values	Daily Returns

GigaMedia  vs.  The Bank of

GigaMedia

Risk-Adjusted Performance

12 of 100

Good

Compared to the overall equity markets, risk-adjusted returns on investments in GigaMedia are ranked lower than 12 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively fragile basic indicators, GigaMedia unveiled solid returns over the last few months and may actually be approaching a breakup point.

Bank of New York Mellon

Risk-Adjusted Performance

10 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in The Bank of are ranked lower than 10 (%) of all global equities and portfolios over the last 90 days. Despite nearly uncertain basic indicators, Bank of New York Mellon reported solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with GigaMedia and Bank of New York Mellon

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

The idea behind GigaMedia and The Bank of 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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.