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Inside Volatility Filtering - Secrets of the Skew, 2e (Hardcover, 2nd Edition)
Loot Price: R2,511
Discovery Miles 25 110
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Inside Volatility Filtering - Secrets of the Skew, 2e (Hardcover, 2nd Edition)
Expected to ship within 12 - 17 working days
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A new, more accurate take on the classical approach to volatility
evaluation Inside Volatility Filtering presents a new approach to
volatility estimation, using financial econometrics based on a more
accurate estimation of the hidden state. Based on the idea of
"filtering", this book lays out a two-step framework involving a
Chapman-Kolmogorov prior distribution followed by Bayesian
posterior distribution to develop a robust estimation based on all
available information. This new second edition includes guidance
toward basing estimations on historic option prices instead of
stocks, as well as Wiener Chaos Expansions and other spectral
approaches. The author's statistical trading strategy has been
expanded with more in-depth discussion, and the companion website
offers new topical insight, additional models, and extra charts
that delve into the profitability of applied model calibration.
You'll find a more precise approach to the classical time series
and financial econometrics evaluation, with expert advice on
turning data into profit. Financial markets do not always behave
according to a normal bell curve. Skewness creates uncertainty and
surprises, and tarnishes trading performance, but it's not going
away. This book shows traders how to work with skewness: how to
predict it, estimate its impact, and determine whether the data is
presenting a warning to stay away or an opportunity for profit. *
Base volatility estimations on more accurate data * Integrate past
observation with Bayesian probability * Exploit posterior
distribution of the hidden state for optimal estimation * Boost
trade profitability by utilizing "skewness" opportunities Wall
Street is constantly searching for volatility assessment methods
that will make their models more accurate, but precise handling of
skewness is the key to true accuracy. Inside Volatility Filtering
shows you a better way to approach non-normal distributions for
more accurate volatility estimation.
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