Kenneth A. Posner spent close to two decades as a Wall Street
analyst, tracking the so-called "specialty finance" sector, which
included controversial companies such as Countrywide, Fannie Mae,
Freddie Mac, CIT, and MasterCard--many of which were caught in the
subprime mortgage and capital markets crisis of 2007. While extreme
volatility is nothing new in finance, the recent downturn caught
many off guard, indicating that the traditional approach to
decision making had let them down. Introducing a new framework for
handling and evaluating extreme risk, Posner draws on years of
experience to show how decision makers can best cope with the
"Black Swans" of our time.
Posner's shrewd assessment combines the classic fundamental
research approach of Benjamin Graham and David Dodd with more
recent developments in cognitive science, computational theory, and
quantitative finance. He outlines a probabilistic approach to
decision making that involves forecasting across a range of
scenarios, and he explains how to balance confidence, react
accurately to fast-breaking information, overcome information
overload, zero in on the critical issues, penetrate the information
asymmetry shielding corporate executives, and integrate the power
of human intuition with sophisticated analytics. Emphasizing the
computational resources we already have at our disposal--our
computers and our minds--Posner offers a new track to decision
making for analysts, investors, traders, corporate executives, risk
managers, regulators, policymakers, journalists, and anyone who
faces a world of extreme volatility.
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