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This book shows that research contributions from different
fields-finance, economics, computer sciences, and physics-can
provide useful insights into key issues in financial and
cryptocurrency markets. Presenting the latest empirical and
theoretical advances, it helps readers gain a better understanding
of financial markets and cryptocurrencies. Bitcoin was the first
cryptocurrency to use a peer-to-peer network to prevent
double-spending and to control its issue without the need for a
central authority, and it has attracted wide public attention since
its introduction. In recent years, the academic community has also
started gaining interest in cyptocurrencies, and research in the
field has grown rapidly. This book presents is a collection of the
latest work on cryptocurrency markets and the properties of those
markets. This book will appeal to graduate students and researchers
from disciplines such as finance, economics, financial engineering,
computer science, physics and applied mathematics working in the
field of financial markets, including cryptocurrency markets.
This book presents the latest findings on network theory and
agent-based modeling of economic and financial phenomena. In this
context, the economy is depicted as a complex system consisting of
heterogeneous agents that interact through evolving networks; the
aggregate behavior of the economy arises out of billions of
small-scale interactions that take place via countless economic
agents. The book focuses on analytical modeling, and on the
econometric and statistical analysis of the properties emerging
from microscopic interactions. In particular, it highlights the
latest empirical and theoretical advances, helping readers
understand economic and financial networks, as well as new work on
modeling behavior using rich, agent-based frameworks. Innovatively,
the book combines observational and theoretical insights in the
form of networks and agent-based models, both of which have proved
to be extremely valuable in understanding non-linear and evolving
complex systems. Given its scope, the book will capture the
interest of graduate students and researchers from various
disciplines (e.g. economics, computer science, physics, and applied
mathematics) whose work involves the domain of complexity theory.
This book shows that research contributions from different
fields-finance, economics, computer sciences, and physics-can
provide useful insights into key issues in financial and
cryptocurrency markets. Presenting the latest empirical and
theoretical advances, it helps readers gain a better understanding
of financial markets and cryptocurrencies. Bitcoin was the first
cryptocurrency to use a peer-to-peer network to prevent
double-spending and to control its issue without the need for a
central authority, and it has attracted wide public attention since
its introduction. In recent years, the academic community has also
started gaining interest in cyptocurrencies, and research in the
field has grown rapidly. This book presents is a collection of the
latest work on cryptocurrency markets and the properties of those
markets. This book will appeal to graduate students and researchers
from disciplines such as finance, economics, financial engineering,
computer science, physics and applied mathematics working in the
field of financial markets, including cryptocurrency markets.
This book presents the latest findings on network theory and
agent-based modeling of economic and financial phenomena. In this
context, the economy is depicted as a complex system consisting of
heterogeneous agents that interact through evolving networks; the
aggregate behavior of the economy arises out of billions of
small-scale interactions that take place via countless economic
agents. The book focuses on analytical modeling, and on the
econometric and statistical analysis of the properties emerging
from microscopic interactions. In particular, it highlights the
latest empirical and theoretical advances, helping readers
understand economic and financial networks, as well as new work on
modeling behavior using rich, agent-based frameworks. Innovatively,
the book combines observational and theoretical insights in the
form of networks and agent-based models, both of which have proved
to be extremely valuable in understanding non-linear and evolving
complex systems. Given its scope, the book will capture the
interest of graduate students and researchers from various
disciplines (e.g. economics, computer science, physics, and applied
mathematics) whose work involves the domain of complexity theory.
Understanding the mechanism of a socio-economic system requires
more than an understanding of the individuals that comprise the
system. It also requires understanding how individuals interact
with each other, and how the agg- gated outcome can be more than
the sum of individual behaviors. This book contains the papers
fostering the formation of an active multi-disciplinary community
on socio-economic systems with the exciting new ?elds of age- based
modeling and econophysics. We especially intend to increase the
awareness of researchers in many ?elds with sharing the common view
many economic and social activities as collectives of a large-scale
heterogeneous and interacting agents. Economists seek to understand
not only how individuals behave but also how the interaction of
many individuals leads to complex outcomes. Age- based modeling is
a method for studying socio-economic systems exhibiting the
following two properties: (1) the system is composed of interacting
agents, and (2) the system exhibits emergent properties, that is,
properties arising from the interactions of the agents that cannot
be deduced simply by agg- gating the properties of the system's
components. When the interaction of the agents is contingent on
past experience, and especially when the agents continually adapt
to that experience, mathematical analysis is typically very limited
in its ability to derive the outcome.
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