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Books > Business & Economics > Economics > Econometrics > Economic statistics
This book pulls together robust practices in Partial Least Squares
Structural Equation Modeling (PLS-SEM) from other disciplines and
shows how they can be used in the area of Banking and Finance. In
terms of empirical analysis techniques, Banking and Finance is a
conservative discipline. As such, this book will raise awareness of
the potential of PLS-SEM for application in various contexts.
PLS-SEM is a non-parametric approach designed to maximize explained
variance in latent constructs. Latent constructs are directly
unobservable phenomena such as customer service quality and
managerial competence. Explained variance refers to the extent we
can predict, say, customer service quality, by examining other
theoretically related latent constructs such as conduct of staff
and communication skills. Examples of latent constructs at the
microeconomic level include customer service quality, managerial
effectiveness, perception of market leadership, etc.;
macroeconomic-level latent constructs would be found in contagion
of systemic risk from one financial sector to another, herd
behavior among fund managers, risk tolerance in financial markets,
etc. Behavioral Finance is bound to provide a wealth of
opportunities for applying PLS-SEM. The book is designed to expose
robust processes in application of PLS-SEM, including use of
various software packages and codes, including R. PLS-SEM is
already a popular tool in marketing and management information
systems used to explain latent constructs. Until now, PLS-SEM has
not enjoyed a wide acceptance in Banking and Finance. Based on
recent research developments, this book represents the first
collection of PLS-SEM applications in Banking and Finance. This
book will serve as a reference book for those researchers keen on
adopting PLS-SEM to explain latent constructs in Banking and
Finance.
This handbook explains how to use remote sensing technology to
estimate rice crop area and production to support food security
policymaking in Asia and the Pacific. A substantial portion of the
world's rice is produced and consumed in Asia and the Pacific. As
much of the region's population depends on rice farming, timely and
good quality agricultural estimates and forecasts are essential for
effective policy formulation. Recent advances in remote sensing
offer a viable alternative to traditional methods of compiling
agricultural statistics. This publication outlines methods and
tools developed for generating statistics on paddy area and
production using remote sensing and GIS techniques. It aims to help
national statistical agencies pilot and adopt satellite-based
techniques. The handbook complements a massive open online course
on crop area estimation developed by ADB.
Now in its fifth edition, this book offers a detailed yet concise
introduction to the growing field of statistical applications in
finance. The reader will learn the basic methods for evaluating
option contracts, analyzing financial time series, selecting
portfolios and managing risks based on realistic assumptions about
market behavior. The focus is both on the fundamentals of
mathematical finance and financial time series analysis, and on
applications to specific problems concerning financial markets,
thus making the book the ideal basis for lectures, seminars and
crash courses on the topic. All numerical calculations are
transparent and reproducible using quantlets. For this new edition
the book has been updated and extensively revised and now includes
several new aspects such as neural networks, deep learning, and
crypto-currencies. Both R and Matlab code, together with the data,
can be downloaded from the book's product page and the Quantlet
platform. The Quantlet platform quantlet.de, quantlet.com,
quantlet.org is an integrated QuantNet environment consisting of
different types of statistics-related documents and program codes.
Its goal is to promote reproducibility and offer a platform for
sharing validated knowledge native to the social web. QuantNet and
the corresponding Data-Driven Documents-based visualization allow
readers to reproduce the tables, pictures and calculations inside
this Springer book. "This book provides an excellent introduction
to the tools from probability and statistics necessary to analyze
financial data. Clearly written and accessible, it will be very
useful to students and practitioners alike." Yacine Ait-Sahalia,
Otto Hack 1903 Professor of Finance and Economics, Princeton
University
Recent advancements in data collection will affect all aspects of
businesses, improving and bringing complexity to management and
demanding integration of all resources, principles, and processes.
The interpretation of these new technologies is essential to the
advancement of management and business. The Handbook of Research on
Expanding Business Opportunities With Information Systems and
Analytics is a vital scholarly publication that examines
technological advancements in data collection that will influence
major change in many aspects of business through a
multidisciplinary approach. Featuring coverage on a variety of
topics such as market intelligence, knowledge management, and brand
management, this book explores new complexities to management and
other aspects of business. This publication is designed for
entrepreneurs, business managers and executives, researchers,
business professionals, data analysts, academicians, and
graduate-level students seeking relevant research on data
collection advancements.
In businesses and organizations, understanding the social reality
of individuals, groups, and cultures allows for in-depth
understanding and rich analysis of multiple research areas to
improve practices. Qualitative research provides important insight
into the interactions of the workplace. Qualitative Techniques for
Workplace Data Analysis is an essential reference source that
discusses the qualitative methods used to analyze workplace data,
as well as what measures should be adopted to ensure the
credibility and dependability of qualitative findings in the
workplace. Featuring research on topics such as collection methods,
content analysis, and sampling, this book is ideally designed for
academicians, development practitioners, business managers, and
analytic professionals seeking coverage on quality measurement
techniques in the occupational settings of emerging markets.
The Who, What, and Where of America is designed to provide a
sampling of key demographic information. It covers the United
States, every state, each metropolitan statistical area, and all
the counties and cities with a population of 20,000 or more. Who:
Age, Race and Ethnicity, and Household Structure What: Education,
Employment, and Income Where: Migration, Housing, and
Transportation Each part is preceded by highlights and ranking
tables that show how areas diverge from the national norm. These
research aids are invaluable for understanding data from the ACS
and for highlighting what it tells us about who we are, what we do,
and where we live. Each topic is divided into four tables revealing
the results of the data collected from different types of
geographic areas in the United States, generally with populations
greater than 20,000. *Table A. States *Table B. Counties *Table C.
Metropolitan Areas *Table D. Cities In this edition, you will find
social and economic estimates on the ways American communities are
changing with regard to the following: *Age and race *Health care
coverage *Marital history *Education attainment *Income and
occupation *Commute time to work *Employment status *Home values
and monthly costs *Veteran status *Size of home or rental unit This
title is the latest in the County and City Extra Series of
publications from Bernan Press. Other titles include County and
City Extra, County and City Extra: Special Decennial Census
Edition, and Places, Towns, and Townships.
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