This module allows you to analyze existing cross correlation between NYSE and NQPH. You can compare the effects of market volatilities on NYSE and NQPH 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 NYSE with a short position of NQPH. See also your portfolio center. Please also check ongoing floating volatility patterns of NYSE and NQPH.
Given the investment horizon of 30 days, NYSE is expected to generate 1.11 times more return on investment than NQPH. However, NYSE is 1.11 times more volatile than NQPH. It trades about -0.01 of its potential returns per unit of risk. NQPH is currently generating about -0.23 per unit of risk. If you would invest 1,276,334 in NYSE on March 21, 2018 and sell it today you would lose (9,186) from holding NYSE or give up 0.72% of portfolio value over 30 days.
Overlapping area represents the amount of risk that can be diversified away by holding NYSE and NQPH in the same portfolio assuming nothing else is changed. The correlation between historical prices or returns on NQPH and NYSE 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 NYSE are associated (or correlated) with NQPH. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of NQPH has no effect on the direction of NYSE i.e. NYSE and NQPH go up and down completely randomly.
Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked.
See also your portfolio center. Please also try My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. macroaxis watchlist is based on self-learning algorithm to remember stocks you like.