This module allows you to analyze existing cross correlation between LocalBitcoins Bitcoin USD and Cexio Bitcoin USD. You can compare the effects of market volatilities on LocalBitcoins Bitcoin and Cexio Bitcoin 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 LocalBitcoins Bitcoin with a short position of Cexio Bitcoin. See also your portfolio center. Please also check ongoing floating volatility patterns of LocalBitcoins Bitcoin and Cexio Bitcoin.
Assuming 30 trading days horizon, LocalBitcoins Bitcoin USD is expected to generate 4.11 times more return on investment than Cexio Bitcoin. However, LocalBitcoins Bitcoin is 4.11 times more volatile than Cexio Bitcoin USD. It trades about 0.05 of its potential returns per unit of risk. Cexio Bitcoin USD is currently generating about -0.09 per unit of risk. If you would invest 1,592,044 in LocalBitcoins Bitcoin USD on March 20, 2018 and sell it today you would lose (614,045) from holding LocalBitcoins Bitcoin USD or give up 38.57% of portfolio value over 30 days.
Pair Corralation between LocalBitcoins Bitcoin and Cexio Bitcoin
Overlapping area represents the amount of risk that can be diversified away by holding LocalBitcoins Bitcoin USD and Cexio Bitcoin USD in the same portfolio assuming nothing else is changed. The correlation between historical prices or returns on Cexio Bitcoin USD and LocalBitcoins Bitcoin 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 LocalBitcoins Bitcoin USD are associated (or correlated) with Cexio Bitcoin. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cexio Bitcoin USD has no effect on the direction of LocalBitcoins Bitcoin i.e. LocalBitcoins Bitcoin and Cexio Bitcoin go up and down completely randomly.
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