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The book provides a comprehensive overview of the latest
econometric methods for studying the dynamics of macroeconomic and
financial time series. It examines alternative methodological
approaches and concepts, including quantile spectra and co-spectra,
and explores topics such as non-linear and non-stationary behavior,
stochastic volatility models, and the econometrics of commodity
markets and globalization. Furthermore, it demonstrates the
application of recent techniques in various fields: in the
frequency domain, in the analysis of persistent dynamics, in the
estimation of state space models and new classes of volatility
models. The book is divided into two parts: The first part applies
econometrics to the field of macroeconomics, discussing trend/cycle
decomposition, growth analysis, monetary policy and international
trade. The second part applies econometrics to a wide range of
topics in financial economics, including price dynamics in equity,
commodity and foreign exchange markets and portfolio analysis. The
book is essential reading for scholars, students, and practitioners
in government and financial institutions interested in applying
recent econometric time series methods to financial and economic
data.
This book is an introductory exposition of different topics that
emerged in the literature as unifying themes between two fields of
econometrics of time series, namely nonlinearity and
nonstationarity. Papers on these topics have exploded over the last
two decades, but they are rarely ex amined together. There is,
undoubtedly, a variety of arguments that justify such a separation.
But there are also good reasons that motivate their combination.
People who are reluctant to a combined analysis might argue that
nonlinearity and nonstationarity enhance non-trivial problems, so
their combination does not stimulate interest in regard to
plausibly increased difficulties. This argument can, however, be
balanced by other ones of an economic nature. A predominant idea,
today, is that a nonstationary series exhibits persistent
deviations from its long-run components (either deterministic or
stochastic trends). These persistent deviations are modelized in
various ways: unit root models, fractionally integrated processes,
models with shifts in the time trend, etc. However, there are many
other behaviors inherent to nonstationary processes, that are not
reflected in linear models. For instance, economic variables with
mixture distributions, or processes that are state-dependent,
undergo episodes of changing dynamics. In models with multiple
long-run equi libria, the moving from an equilibrium to another
sometimes implies hys teresis. Also, it is known that certain
shocks can change the economic fundamentals, thereby reducing the
possibility that an initial position is re-established after a
shock (irreversibility)."
This book discusses market microstructure environment within the
context of the global financial crisis. In the first part, the
market microstructure theory is recalled and the main
microstructure models and hypotheses are discussed. The second part
focuses on the main effects of the financial downturn through an
examination of market microstructure dynamics. In particular, the
effects of market imperfections and the limitations associated with
microstructure models are discussed. Finally, the new regulations
and recent developments for financial markets that aim to improve
the market microstructure are discussed. Well-known experts on the
subject contribute to the chapters in the book. A must-read for
academic researchers, students and quantitative practitioners.
This book discusses market microstructure environment within the
context of the global financial crisis. In the first part, the
market microstructure theory is recalled and the main
microstructure models and hypotheses are discussed. The second part
focuses on the main effects of the financial downturn through an
examination of market microstructure dynamics. In particular, the
effects of market imperfections and the limitations associated with
microstructure models are discussed. Finally, the new regulations
and recent developments for financial markets that aim to improve
the market microstructure are discussed. Well-known experts on the
subject contribute to the chapters in the book. A must-read for
academic researchers, students and quantitative practitioners.
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