This module allows you to analyze existing cross correlation between Twitter and Facebook. You can compare the effects of market volatilities on Twitter and Facebook 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 Twitter with a short position of Facebook. See also your portfolio center. Please also check ongoing floating volatility patterns of Twitter and Facebook.
|Horizon||30 Days Login to change|
Compared to the overall equity markets, risk-adjusted returns on investments in Twitter are ranked lower than 8 (%) of all global equities and portfolios over the last 30 days. In defiance of relatively weak forward-looking signals, Twitter reported solid returns over the last few months and may actually be approaching a breakup point.
Over the last 30 days Facebook has generated negative risk-adjusted returns adding no value to investors with long positions. Despite somewhat strong basic indicators, Facebook is not utilizing all of its potentials. The recent stock price disturbance, may contribute to short term losses for the investors.
Twitter and Facebook Volatility Contrast
Predicted Return Density
Twitter Inc vs. Facebook Inc
Given the investment horizon of 30 days, Twitter is expected to generate 1.5 times more return on investment than Facebook. However, Twitter is 1.5 times more volatile than Facebook. It trades about 0.12 of its potential returns per unit of risk. Facebook is currently generating about -0.01 per unit of risk. If you would invest 3,665 in Twitter on August 17, 2019 and sell it today you would earn a total of 611.00 from holding Twitter or generate 16.67% return on investment over 30 days.
Pair Corralation between Twitter and Facebook
|Time Period||3 Months [change]|
Diversification Opportunities for Twitter and Facebook
Overlapping area represents the amount of risk that can be diversified away by holding Twitter Inc and Facebook Inc in the same portfolio assuming nothing else is changed. The correlation between historical prices or returns on Facebook and Twitter 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 Twitter are associated (or correlated) with Facebook. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Facebook has no effect on the direction of Twitter i.e. Twitter and Facebook go up and down completely randomly.
See also your portfolio center. Please also try Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.