  This paper studies the links between the descriptions of macroeconomic
variables and statistical moments of market trade, price, and return. The
randomness of market trade values and volumes during the averaging interval
{\Delta} results in the random properties of price and return. We describe how
averages and volatilities of price and return depend on the averages,
volatilities, and correlations of market trade values and volumes. The
averages, volatilities, and correlations of market trade, price, and return can
behave randomly during the long interval {\Delta}2>>{\Delta}. To describe their
statistical properties during the long interval {\Delta}2, we introduce the
secondary averaging procedure of trade, price, and return. We explain why, in
the coming years, predictions of market-based probabilities of price and return
will be limited by Gaussian distributions. We discuss the roots of the internal
weakness of the commonly used hedging tool, Value-at-Risk, that cannot be
solved and remains the source of additional risks and losses. One should
consider theoretical economics as a set of successive approximations, each of
which describes the next array of the n-th statistical moments of market
trades, price, return, and macroeconomic variables, which are repeatedly
averaged during the sequence of increasing time intervals.
