Reshape your investing strategy for an increasingly uncertain world
“An engrossing, fast-paced, terrific read for anyone interested in the financial imbalances due to too much reliance on math and too little respect for indeterminacy.”
—Tyler Durden, ZeroHedge.com
The world does not unfold according to a fixed set of rules. It is a dynamical system whose evolution looks like a bell curve with fat “tails.” The same is true of financial markets. However, every day we rely on the certainty and precision of mathematical strategies that assume the contrary to control and grow wealth in markets.
Tail Risk Killers shows you how the rigidity of model-based thinking has led to the fragility of today's global financial marketplace, and it explains how to use adaptive trading strategies to mitigate risk in impending market conditions.
Risk management veteran Jeff McGinn pokes holes in prevalent assumptions about how financial markets act that tend to underestimate the likelihood of occurrence of extreme events. Through clear, conversational writing, real-world anecdotes, and easy-tofollow formulas, he provides a glimpse into the way tomorrow's successful traders are viewing financial markets—with an eye for probability distributions. While illustrating how to protect your assets from tail risk, he shows you how to:
McGinn argues that the intervention of central banks has robbed global markets of their opportunities to adapt, but this highly relevant book shows you that it is not too late to adapt your portfolio to survive the extreme events that happen more often than popular financial models suggest.
Tail Risk Killers helps you discover useful information and processes beyond the focus of industry standards, helps you connect the dots of evolving trading strategies and time your next trade for maximum profitability.
Jeff McGinn serves as Head of Analytics at VHQC Consulting, an operational risk management and information management company. He has more than twenty years of experience in unlocking the elusive nature of risk, data analysis, and statistical modeling for such companies as Citibank, The Associates Financial, and a variety of Fortune 500 companies.
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