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Books > Business & Economics > Finance & accounting > Finance > Investment & securities > General
A Great Leap Forward: Heterodox Economic Policy for the 21st
Century investigates economic policy from a heterodox and
progressive perspective. Author Randall Wray uses relatively short
chapters arranged around several macroeconomic policy themes to
present an integrated survey of progressive policy on topics of
interest today that are likely to remain topics of interest for
many years.
One of the most important activities of enterprises today is
responsible entrepreneurship. Corporate social responsibility (CSR)
activities can help to forge a stronger bond between employees and
corporations, can boost morale, and can help both employees and
employers feel more connected with the world around them. Moreover,
the growing importance of this concept results from the fact that
it is perceived as an effective tool for increasing
competitiveness, improving the image of the company, or
contributing to the generation of higher profits. In today's world,
an active commitment to social responsibility is becoming more
common for a company. CSR and Socially Responsible Investing
Strategies in Transitioning and Emerging Economies is an essential
reference source that identifies the scale and scope of
implementation of CSR and socially responsible investing strategies
and standards in companies operating in different transitioning and
emerging economies as well as assessing the global effects of these
activities. Featuring research on topics such as economic growth,
responsible investing, and business ethics, this book is ideally
designed for managers, executives, directors, corporate
professionals, government officials, industry leaders,
academicians, students, and researchers in the fields of
international economics, international business, marketing, finance
management, and public relations.
In the current scope of economics, the management of client
portfolios has become a considerable problem within financial
institutions due to the amount of risk that goes into assigning
assets. Various algorithmic models exist for solving these
portfolio challenges; however, considerable research is lacking
that further explains these design problems and provides applicable
solutions to these imperative issues. Algorithms for Solving
Financial Portfolio Design Problems: Emerging Research and
Opportunities is a pivotal reference source that provides vital
research on the application of various programming models within
the financial engineering field. While highlighting topics such as
landscape analysis, breaking symmetries, and linear programming,
this publication analyzes the quadratic constraints of current
portfolios and provides algorithmic solutions to maximizing the
full value of these financial sets. This book is ideally designed
for financial strategists, engineers, programmers, mathematicians,
banking professionals, researchers, academicians, and students
seeking current research on recent mathematical advances within
financial engineering.
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