|
Showing 1 - 16 of
16 matches in All Departments
This book presents the latest perspectives and challenges within
the interrelated fields of econophysics and sociophysics, which
have emerged from the application of statistical physics to
economics and sociology. Economic and financial markets appear to
be in a permanent state of flux. Billions of agents interact with
each other, giving rise to complex dynamics of economic quantities
at the micro and macro levels. With the availability of huge data
sets, researchers can address questions at a much more granular
level than was previously possible. Fundamental questions regarding
the aggregation of actions and information and the coordination,
complexity, and evolution of economic and financial networks are
currently receiving much attention in the econophysics research
agenda. In parallel, the sociophysics literature has focused on
large-scale social data and their interrelations. In this book,
leading researchers from different communities - economists,
sociologists, financial analysts, mathematicians, physicists,
statisticians, and others - report on their recent work and their
analyses of economic and social behavior.
This book presents the proceedings from ECONOPHYS-2015, an
international workshop held in New Delhi, India, on the
interrelated fields of "econophysics" and "sociophysics", which
have emerged from the application of statistical physics to
economics and sociology. Leading researchers from varied
communities, including economists, sociologists, financial
analysts, mathematicians, physicists, statisticians, and others,
report on their recent work, discuss topical issues, and review the
relevant contemporary literature. A society can be described as a
group of people who inhabit the same geographical or social
territory and are mutually involved through their shared
participation in different aspects of life. It is possible to
observe and characterize average behaviors of members of a society,
an example being voting behavior. Moreover, the dynamic nature of
interaction within any economic sector comprising numerous
cooperatively interacting agents has many features in common with
the interacting systems of statistical physics. It is on these
bases that interest has grown in the application within sociology
and economics of the tools of statistical mechanics. This book will
be of value for all with an interest in this flourishing field.
This book presents the proceedings from ECONOPHYS-2015, an
international workshop held in New Delhi, India, on the
interrelated fields of "econophysics" and "sociophysics", which
have emerged from the application of statistical physics to
economics and sociology. Leading researchers from varied
communities, including economists, sociologists, financial
analysts, mathematicians, physicists, statisticians, and others,
report on their recent work, discuss topical issues, and review the
relevant contemporary literature. A society can be described as a
group of people who inhabit the same geographical or social
territory and are mutually involved through their shared
participation in different aspects of life. It is possible to
observe and characterize average behaviors of members of a society,
an example being voting behavior. Moreover, the dynamic nature of
interaction within any economic sector comprising numerous
cooperatively interacting agents has many features in common with
the interacting systems of statistical physics. It is on these
bases that interest has grown in the application within sociology
and economics of the tools of statistical mechanics. This book will
be of value for all with an interest in this flourishing field.
This book presents the works and research findings of physicists,
economists, mathematicians, statisticians, and financial engineers
who have undertaken data-driven modelling of market dynamics and
other empirical studies in the field of Econophysics. During recent
decades, the financial market landscape has changed dramatically
with the deregulation of markets and the growing complexity
of products. The ever-increasing speed and decreasing costs of
computational power and networks have led to the emergence of huge
databases. The availability of these data should permit the
development of models that are better founded empirically, and
econophysicists have accordingly been advocating that one should
rely primarily on the empirical observations in order to construct
models and validate them. The recent turmoil in financial markets
and the 2008 crash appear to offer a strong rationale for new
models and approaches. The Econophysics community accordingly has
an important future role to play in market modelling. The
Econophys-Kolkata VIII conference proceedings are devoted to the
presentation of many such modelling efforts and address recent
developments. A number of leading researchers from across the globe
report on their recent work, comment on the latest issues, and
review the contemporary literature.
The primary goal of this book is to present the research findings
and conclusions of physicists, economists, mathematicians and
financial engineers working in the field of "Econophysics" who have
undertaken agent-based modelling, comparison with empirical studies
and related investigations. Most standard economic models assume
the existence of the representative agent, who is "perfectly
rational" and applies the utility maximization principle when
taking action. One reason for this is the desire to keep models
mathematically tractable: no tools are available to economists for
solving non-linear models of heterogeneous adaptive agents without
explicit optimization. In contrast, multi-agent models, which
originated from statistical physics considerations, allow us to go
beyond the prototype theories of traditional economics involving
the representative agent. This book is based on the
Econophys-Kolkata VII Workshop, at which many such modelling
efforts were presented. In the book, leading researchers in their
fields report on their latest work, consider recent developments
and review the contemporary literature.
The primary goal of the book is to present the ideas and research
findings of active researchers from various communities
(physicists, economists, mathematicians, financial engineers)
working in the field of "Econophysics", who have undertaken the
task of modelling and analyzing order-driven markets. Of primary
interest in these studies are the mechanisms leading to the
statistical regularities ("stylized facts") of price statistics.
Results pertaining to other important issues such as market impact,
the profitability of trading strategies, or mathematical models for
microstructure effects, are also presented. Several leading
researchers in these fields report on their recent work and also
review the contemporary literature. Some historical perspectives,
comments and debates on recent issues in Econophysics research are
also included.
This book presents the works and research findings of physicists,
economists, mathematicians, statisticians, and financial engineers
who have undertaken data-driven modelling of market dynamics and
other empirical studies in the field of Econophysics. During recent
decades, the financial market landscape has changed dramatically
with the deregulation of markets and the growing complexity of
products. The ever-increasing speed and decreasing costs of
computational power and networks have led to the emergence of huge
databases. The availability of these data should permit the
development of models that are better founded empirically, and
econophysicists have accordingly been advocating that one should
rely primarily on the empirical observations in order to construct
models and validate them. The recent turmoil in financial markets
and the 2008 crash appear to offer a strong rationale for new
models and approaches. The Econophysics community accordingly has
an important future role to play in market modelling. The
Econophys-Kolkata VIII conference proceedings are devoted to the
presentation of many such modelling efforts and address recent
developments. A number of leading researchers from across the globe
report on their recent work, comment on the latest issues, and
review the contemporary literature.
The primary goal of the book is to present the ideas and research
findings of active researchers such as physicists, economists,
mathematicians and financial engineers working in the field of
"Econophysics," who have undertaken the task of modeling and
analyzing systemic risk, network dynamics and other topics. Of
primary interest in these studies is the aspect of systemic risk,
which has long been identified as a potential scenario in which
financial institutions trigger a dangerous contagion mechanism,
spreading from the financial economy to the real economy. This type
of risk, long confined to the monetary market, has spread
considerably in the recent past, culminating in the subprime crisis
of 2008. As such, understanding and controlling systemic risk has
become an extremely important societal and economic challenge. The
Econophys-Kolkata VI conference proceedings are dedicated to
addressing a number of key issues involved. Several leading
researchers in these fields report on their recent work and also
review contemporary literature on the subject.
The primary goal of this book is to present the research
findings and conclusions of physicists, economists, mathematicians
and financial engineers working in the field of "Econophysics" who
have undertaken agent-based modelling, comparison with empirical
studies and related investigations.
Most standard economic models assume the existence of the
representative agent, who is "perfectly rational" and applies the
utility maximization principle when taking action. One reason for
this is the desire to keep models mathematically tractable: no
tools are available to economists for solving non-linear models of
heterogeneous adaptive agents without explicit optimization. In
contrast, multi-agent models, which originated from statistical
physics considerations, allow us to go beyond the prototype
theories of traditional economics involving the representative
agent. This book is based on the Econophys-Kolkata VII Workshop, at
which many such modelling efforts were presented. In the book,
leading researchers in their fields report on their latest work,
consider recent developments and review the contemporary
literature.
The primary goal of the book is to present the ideas and
research findings of active researchers such as physicists,
economists, mathematicians and financial engineers working in the
field of "Econophysics," who have undertaken the task of modeling
and analyzing systemic risk, network dynamics and other topics.
Of primary interest in these studies is the aspect of systemic
risk, which has long been identified as a potential scenario in
which financial institutions trigger a dangerous contagion
mechanism, spreading from the financial economy to the real
economy.
This type of risk, long confined to the monetary market, has
spread considerably in the recent past, culminating in the subprime
crisis of 2008. As such, understanding and controlling systemic
risk has become an extremely important societal and economic
challenge. The Econophys-Kolkata VI conference proceedings are
dedicated to addressing a number of key issues involved. Several
leading researchers in these fields report on their recent work and
also review contemporary literature on the subject.
The primary goal of the book is to present the ideas and
research findings of active researchers from various communities
(physicists, economists, mathematicians, financial engineers)
working in the field of "Econophysics," who have undertaken the
task of modelling and analyzing order-driven markets. Of primary
interest in these studies are the mechanisms leading to the
statistical regularities ("stylized facts") of price statistics.
Results pertaining to other important issues such as market impact,
the profitability of trading strategies, or mathematical models for
microstructure effects, are also presented. Several leading
researchers in these fields report on their recent work and also
review the contemporary literature. Some historical perspectives,
comments and debates on recent issues in Econophysics research are
also included.
This book is an outcome of the interdisciplinary conference held at
OP Jindal Global University (Quantum Decision-making and Complexity
modeling, and their possible applications in social sciences-
economics, finance and public policy). The volume builds upon
the emerging fields of Econophysics, Complexity theory and Quantum
like modelling in cognition and social sciences, and their
plausible applications in economics and public policy. There can be
deep linkages between the micro, meso and macro scales at which
these paradigms operate. In this data-driven age, greater amounts
of information, along with the facility to harvest, sort and
process said information, have permitted an expansion of the
capability to study a society’s various factors to a degree of
detail and inclusiveness that has never before been available to
researchers. As a result, an increasing number of throughlines is
being discovered, revealing heretofore unknown connections between
various disciplines and enhancing the study of such societal tropes
as finance, language, shared behavior, and many others. As the
reader will see, with clearer understanding of the
interconnectedness of society’s assorted parts comes a clearer
understanding of the society as a whole. We have received
critical thoughts from noted experts in social and natural sciences
to explore possible interconnections. The editors of this book
earnestly hope that the critical reviews presented in this volume
will stimulate further scholarly interest, but also interest among
policy practitioners for the purpose of exploring possibilities for
creating a new paradigm for comprehending pressing issues of deep
uncertainty and emergence in social dynamics.
Many real-life systems are dynamic, evolving, and intertwined.
Examples of such systems displaying 'complexity', can be found in a
wide variety of contexts ranging from economics to biology, to the
environmental and physical sciences. The study of complex systems
involves analysis and interpretation of vast quantities of data,
which necessitates the application of many classical and modern
tools and techniques from statistics, network science, machine
learning, and agent-based modelling. Drawing from the latest
research, this self-contained and pedagogical text describes some
of the most important and widely used methods, emphasising both
empirical and theoretical approaches. More broadly, this book
provides an accessible guide to a data-driven toolkit for
scientists, engineers, and social scientists who require effective
analysis of large quantities of data, whether that be related to
social networks, financial markets, economies or other types of
complex systems.
|
You may like...
Loot
Nadine Gordimer
Paperback
(2)
R398
R330
Discovery Miles 3 300
|