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Books in Economics and finance

Our Economics and Finance titles are essential reading for students, scholars, policymakers, and market practitioners who want to stay up-to-date with the latest research and foundational topics in the field, from financial markets and trade to e-commerce, econometrics, quantiative investing, financial technology, financial engineering, global finance, corporate finance, law and economics, macro and microeconomics, and risk management.

Titles manage to balance quality of content with the increasing demand for a wider view of the vast array of topics in the field of Economics and Finance.

1-10 of 1391 results in All results

Performance Evaluation and Attribution Volume 1

  • 2nd Edition
  • January 1, 2025
  • Russ Wermers + 1 more
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 8 1 8 2 9 7 - 0
  • eBook
    9 7 8 - 0 - 1 2 - 8 1 8 2 9 8 - 7
Performance Evaluation and Attribution Volume 1: Asset Pricing and Models, Second Edition, presents an updated, comprehensive exploration of portfolio evaluation. Based on the authors’ Performance Evaluation and Attribution of Security Portfolios (2012) this Second Edition adds four new chapters and updated content throughout in its practical approach to measuring manager skills and using recent statistical techniques to solve investment problems. Added are new factor models, including the newly developed q-factor model and the new models of Fama and French; new examples; and new work on qualitative considerations used in performance evaluation. Highly detailed, Performance Evaluation and Attribution Volume 1: Asset Pricing and Models, Second Edition, Second Edition, combines academic rigor with practical applications and guidance for applications of diverse approaches.

Performance Attribution Volume 2

  • 2nd Edition
  • January 1, 2025
  • Brian Singer + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 8 1 8 3 0 1 - 4
  • eBook
    9 7 8 - 0 - 1 2 - 8 1 8 3 0 2 - 1
Performance Attribution Volume 2: Analysis and Reporting, Second Edition explains the practical aspects of building or interpreting a top-to-bottom performance attribution system applicable to many asset classes. Requiring a familiarity with the principal concepts of portfolio analysis, it features standard methodologies and alternative approaches to the attribution of diverse assets, including derivatives, fixed income, and hedge funds. Based on the authors’ Performance Evaluation and Attribution of Security Portfolios (2012), its concentration on the ethical standards embodied by GIPS includes a summary of provisions for the presentation of risk in a firm’s investments.

Sustainability

  • 1st Edition
  • January 1, 2025
  • Liliana L. Mammino
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 1 3 4 1 7 - 3
  • eBook
    9 7 8 - 0 - 4 4 3 - 1 3 4 1 8 - 0
Sustainability: A Multidisciplinary Endeavour offers a comprehensive overview of the contributions of various disciplines to sustainability, along with possible synergies that could develop among them. The first part of the book covers sustainability science from each related scientific discipline, such as environmental science, engineering, and medicine and economy, highlighting cross disciplinary pathways. The second half of the book offers insights into how each of the green sciences relate to each other and to education on sustainability. This framework is ideal for scientists and researchers in adjacent areas of sustainability.

Current Advancements in Nanomaterials for Wastewater Remediation

  • 1st Edition
  • January 1, 2025
  • Igor Krupa + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 1 6 1 1 2 - 4
  • eBook
    9 7 8 - 0 - 4 4 3 - 1 6 1 1 3 - 1
Current Advancements in Nanomaterials for Wastewater Remediation: Challenges and Mitigation Strategies provides a comprehensive overview of recent developments in wastewater treatment supported mainly by nanotechnology-assisted techniques. It brings together the latest advances in nanomaterials and technologies and their diverse applications for wastewater remediation.The book begins by discussing water quality standards, monitoring strategies and different sources of water pollution, including various organic and inorganic contaminants like oil spills, dyes, metal pollutants, food waste and pharmaceutical wastes. Subsequent chapters provide the latest developments on the science, engineering and application of advanced nanomaterials for a wide range of technologies used for wastewater treatment and produced water treatment, such as physical, chemical, nanomaterial assisted, and membrane supported methods and techniques.Scientists and researchers in academia and industry will benefit from this comprehensive resource on the nanomaterials behind the technologies at which wastewater sources can be purified from contaminants.

Mathematical Modeling for Big Data Analytics

  • 1st Edition
  • January 1, 2025
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 6 7 3 5 - 2
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 6 7 3 6 - 9
Mathematical Modelling for Big Data Analytics is a comprehensive guidebook that explores the use of mathematical models and algorithms for analyzing large and complex datasets. It covers a range of topics including statistical modeling, machine learning, optimization techniques, and data visualization, and provides practical examples and case studies to demonstrate their applications in real-world scenarios. This book provides a clear and accessible resource for readers who are looking to enhance their skills in mathematical modeling and data analysis for big data analytics. Through real-world examples and case studies, readers will gain a deeper understanding of how to approach and solve complex data analysis problems using mathematical modeling techniques. The authors emphasize the importance of effective data visualization and provide guidance on how to present and communicate the results of data analysis effectively to stakeholders. Researchers and analysts face a variety of challenges due to rapidly changing technologies and keeping up with the latest mathematical and statistical techniques for big data analytics. Mathematical Modelling for Big Data Analytics helps readers understand how to translate mathematical models and algorithms into practical solutions for real-world problems. The book begins with coverage of the theoretical foundations of big data analytics, including qualitative and quantitative analytics techniques, digital twins, machine learning, deep learning, optimization, and visualization techniques. The second part of the book concludes with data-specific applications such as text analytics, network analytics, spatial analytics, timeseries analytics, sound analytics, and IoT-based analytics techniques.

Smart City Code

  • 1st Edition
  • December 1, 2024
  • Luca Mora + 4 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 1 3 4 0 2 - 9
  • eBook
    9 7 8 - 0 - 4 4 3 - 1 3 4 0 1 - 2
Smart City Code: Governance Handbook for Digital Transformation Managers in the Public Sector explores how to govern the planning, implementation, and maintenance operations in smart city projects and transitions, and the urban digitalization processes that may potentially trigger. It provides readers with the evidence-based knowledge they need to approach the complexity of smart city governance, responding to the United Nations’ call for more advanced strategic and technical support on urban digital transformations to national, regional, and local governments. The book uses a comprehensive framework that details what configuration of multi-level components should be considered in the governance of smart city transitions.

Fundamentals of Uncertainty Quantification for Engineers

  • 1st Edition
  • December 1, 2024
  • Yan Wang + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 1 3 6 6 1 - 0
  • eBook
    9 7 8 - 0 - 4 4 3 - 1 3 6 6 2 - 7
Fundamentals of Uncertainty Quantification for Engineers: Methods and Models provides a comprehensive introduction to uncertainty quantification (UQ) accompanied by a wide variety of applied examples, implementation details, and practical exercises to reinforce the concepts outlined in the book. Sections start with a review of the history of probability theory and recent developments of UQ methods in the domains of applied mathematics and data science. Major concepts of probability axioms, conditional probability, and Bayes’ rule are discussed and examples of probability distributions in parametric data analysis, reliability, risk analysis, and materials informatics are included.Random processes, sampling methods, and surrogate modeling techniques including multivariate polynomial regression, Gaussian process regression, multi-fidelity surrogate, support-vector machine, and decision tress are also covered. Methods for model selection, calibration, and validation are introduced next, followed by chapters on sensitivity analysis, stochastic expansion methods, Markov models, and non-probabilistic methods. The book concludes with a chapter describing the methods that can be used to predict UQ in systems, such as Monte Carlo, stochastic expansion, upscaling, Langevin dynamics, and inverse problems, with example applications in multiscale modeling, simulations, and materials design.

Thermoforming Modeling and Simulation

  • 1st Edition
  • December 1, 2024
  • Fouad Erchiqui + 3 more
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 3 8 4 2 - 0
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 3 8 4 3 - 7
Thermoforming Modeling and Simulation: A Multiphysics Approach concentrates on the modeling and optimization of thermoforming, as well as identifying the structural behavior of thermoplastics used for thermoforming. The book demonstrates the expertise gained through industrial and academic projects in technical transfer. It also illustrates the research and development skills in experimental and numerical modeling of thermoforming. The problem of identifying laws of behavior from experimental data (rheological or mechanical tests in large deformations), using algorithms such as neural networks, is also addressed.Through its multiphysics content, this book is helpful for researchers, teachers and industrialists interested in new advances in thermoforming (characterization of materials, modeling and optimization).

Handbook of the Economics of Climate Change

  • 1st Edition
  • Volume 1
  • December 1, 2024
  • Lint Barrage + 1 more
  • English
  • Hardback
    9 7 8 - 0 - 4 4 3 - 3 1 3 2 4 - 0
  • eBook
    9 7 8 - 0 - 4 4 3 - 3 1 3 2 5 - 7
Handbook of the Economics series, highlights new advances in the field, with this new volume presenting interesting chapters. Each chapter is written by an international board of authors.

Improving Health and Nutrition through Bioactive Compounds

  • 1st Edition
  • November 15, 2024
  • Maira Rubi Segura Campos
  • English
  • Paperback
    9 7 8 - 0 - 4 4 3 - 2 1 8 7 3 - 6
  • eBook
    9 7 8 - 0 - 4 4 3 - 2 1 8 7 2 - 9
Improving Health and Nutrition through Bioactive Compounds: Benefits and Applications presents bioactive compounds and functional foods as a therapeutic approach to disease and overall health and well-being.The book covers various bioactive compounds, including peptides, phenols, and flavonoids, as foods to consider complementary treatment for disease management.Written for nutrition researchers, food scientists, graduate students and other food science and health professionals, Improving Health and Nutrition through Bioactive Compounds will be a welcomed reference for those who wish to better understand the role of bioactive compounds and functional foods in the treatment and prevention of disease.