MPT seeks to identify a portfolio allocation designed to offer the highest potential reward with the lowest amount of risk possible for any given level of risk, using broad diversification and historical
data about asset class price fluctuation for this purpose.
Not exact matches
They do this by either using 1) historical
data about how
asset classes have behaved in the past or 2) their own forward - looking (read: fortune - telling) predictions
about how these
asset classes will behave in the future.
Part of the problem is inadequate thinking and risk aversion
about new
asset classes, because they don't have loss
data for
assets that have been bought to securitize.
When gathering information to identify the risk and return characteristics of the many
asset class indexes that belong in a diversified portfolio, the more quality long - term
data you have, the more accurate and probable are your expectations
about future outcomes.
Chicago, IL
About Blog Social Market Analytics (SMA) is the leader in providing RT predictive sentiment
data feeds across
asset classes to the quantitative trading and index community.