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Economics and Finance (R0)

Pak-Sing Choi

Felix Munoz-Garcia

Auction Theory

Introductory Exercises with Answer Keys

&lt;p&gt;Chapter1: Second Price Auctions.- Chapter2:First Price Auctions.- Chapter3: First Price Auctions Extensions.- Chapter4: All Pay Auctions and Auctions with Asymmetrically Informed&lt;br&gt;Bidders.- Chapter5: Third Price Auctions kth Price Auctions and Lotteries.- Chapter6: The Revenue Equivalence Principle.- Chapter7: Common Value Auctions.- Chapter8: Multi Unit Auctions.- Chapter9: Mechanism Design.- Chapter10: Procurement Auctions.&lt;/p&gt;

Population Economics

The Economics of Immigration is written as a both a reference for researchers and as a textbook on the economics of immigration. It is aimed at two audiences: (1) researchers who are interested in learning more about how economists approach the study of human migration flows; and (2) advanced undergraduate and graduate students taking a course on migration or a labor economics course where immigration is one of the subfields studied. The book covers the economic theory of immigration, which explains why people move across borders and details the consequences of such movements for the source and destination economies. The book also describes immigration policy, providing both a history of immigration policy in a variety of countries and using the economic theory of immigration to explain the determinants and consequences of the policies. The 3rd edition provides a timely update to a topic which continues to be a major political and economic issue across the globe.

The Economics of Immigration is written as a both a reference for researchers and as a textbook on the economics of immigration.

Theory, History and Policy

The Economics of Immigration

Lecture Notes in Economics and Mathematical Systems

This volume would prove to be a beneficial textbook option for economics faculties wishing to offer a PhD level course on quantitative developmental economics or applied economics. This reference volume offers a gentle introduction to various state-of-the-art mathematical and econometric modelling techniques with detailed applications. Each chapter, written by experienced scholars, describe a particular quantitative method for economic modelling and policy analysis. The chapters not only cover the theoretical foundations in a student-friendly language but also provide step-by-step guide to computational aspects. Real-world applications, given in each chapter, focus on the socio-economic conditions and well-being of people in the developing economies and middle-income countries.

Quantitative Methods for Applied Development Economics and Policy Analysis

Contextualizing Art Markets

Before the tragedy of the Holocaust, many of the leading art and antiques dealers across Europe were Jewish, establishing dynamic cross-Channel, international and transatlantic networks. Aside from a few famous examples, however, we are only at the beginning of exploring the diversity of Jewish dealers' commercial and cultural worlds, and reflecting on the particular conditions that made possible their dramatic expansion within the profession. Adopting a wider geography than any previous study, this book brings together a team of distinguished international contributors to consider Jewish art dealers as an interconnected cohort, tied together by common strategies and a shared vulnerability. After an extended historiographical introduction, the volume presents case studies and trends from 1860-1940, including: Jewish family businesses in Western Europe; the role of Jews as mediators of art from East Asia; the antisemitism and suspicion faced by Jewish dealers; Jews as theorists, exhibition makers and promoters of modern art ; and the geographical mobility and professional reinvention of Jewish dealers in times of economic and political crisis. With a wide variety of illustrations, including paintings, decorative arts, historic photographs and archival material, the volume adopts a mix of methodological approaches to analyse a key chapter in Jewish cultural history and in the history of the international art market. Includes Afterword by Charles Dellheim, author of Belonging and Betrayal: How Jews Made the Art World Modern (2021).

Negotiating Cultural Modernity

Jewish Dealers and the European Art Market, c. 1860–1940

World Scientific Lecture Notes In Economics And Policy

This book attempts to understand the operation and properties of 'market economies'. We do this by carefully examining, refining and in some cases extending the major theorems that Microeconomics has established in response to the Walrasian conjecture. We critically evaluate theorems and results, that assert the existence, uniqueness, stability, optimality and empirical relevance of Walrasian equilibrium states. As a result of our work, we attempt to comment on the wisdom of recommending that socio-economic systems operate as a collection of deregulated competitive markets.

Lectures In General Equilibrium Microeconomics

Routledge International Handbooks

Routledge International Handbook of Complexity Economics

Preya Bhattacharya offers the first full-length assessment of the impact of microfinance on post-conflict women's empowerment in the Balkans. In so doing, she provides vital new insights into what women's microfinance contributes to macroeconomic development in the former Yugoslavian countries of Macedonia, Croatia, Slovenia, Montenegro, Serbia, Bosnia-Herzegovina, and Kosovo. At the same time, she develops a uniquely clear, concise approach to Qualitative Comparative Analysis (QCA), which she uses to make sense of an extensive, exhaustive raw set of available data and research. This methodology not only offers a way of using both micro and macroeconomic data to revisit Amartya Sen's theory of development as freedom, but also provides a framework for other researchers to assess the impacts of microfinance on women's development throughout the world, and particularly in the Global South. For its original focus, its clear and streamlined methodological approach, and its global implications, this book provides a go-to source for researchers, students, and practitioners of international development, gender studies, and economics and finance.

A Qualitative Comparative Analysis

Microfinance and Post-conflict Women's Empowerment in the Balkans

The aim of this textbook is to improve students' ability to formulate economic problems and provide essential mathematical tools for analysis across various contexts. This book presents the author's current understanding of mathematics, shaped by several years of teaching this subject as well as enriched through interactions with his students. To aid students in their learning, the book is written in a manner that better highlights key concepts and provides additional clarity where possible. In this way, it is hoped that students will feel more guided in their study of mathematics and its applications in economics.

Essential Mathematics For Economics: A Student's Guide To Key Mathematical Techniques

Behavioural Economics and Experiments

This book presents a comprehensive and integrated framework for managing market and liquidity risk in trading and investment portfolios. By combining theoretical rigor with machine learning-driven modeling and empirical validation, it addresses a critical gap in current financial literature: the joint modeling of interdependent risk dimensions through advanced data science techniques.The book bridges the divide between academic theory and real-world practice, demonstrating how machine learning can be systematically applied to model complex risk behaviors, capture regime shifts, and improve portfolio resilience. Traditional risk frameworks often struggle to handle nonlinear, high-dimensional, and heavy-tailed market dynamics. In contrast, this book integrates ML-based optimization techniques—covering liquidity proxies, price impact models, Liquidity-Adjusted Value-at-Risk (LVaR), and regime-switching volatility structures—to offer a more adaptive and robust risk management paradigm. Each chapter offers a balance of quantitative depth and application-oriented insight, enabling readers to connect rigorous research with day-to-day decision-making in risk and portfolio management.Mazin A. M. Al Janabi
 is a distinguished scholar and practitioner in finance, banking, and financial engineering with more than three decades of experience spanning science, technology, and academia. He holds a PhD in Nuclear Engineering from the University of London (UK) and has held senior management roles at ING-Barings and BBVA, including Director of Global Market Risk Management and Head of Trading Risk. A Full Research Professor, he has served at leading institutions such as EGADE Business School (Mexico), United Arab Emirates University, and Al Akhawayn University (Morocco). His research, published in top-tier journals including the 
 European Journal of Operational Research
 , 
 International Review of Financial Analysis
 , and 
 Annals of Operations Research
 , explores market and liquidity risk in both emerging and developed markets. Prof. Al Janabi is also the developer of the “Al Janabi Model” for Liquidity Risk Management, recognized in academic literature for its innovation. As a research fellow at the Economic Research Forum (ERF) and a frequent keynote speaker, he continues to shape contemporary discourse in proprietary trading, market liquidity, and financial risk analytics.

This book presents a comprehensive and integrated framework for managing market and liquidity risk in trading and investment portfolios. By combining theoretical rigor with machine learning-driven modeling and empirical validation, it addresses a critical gap in current financial literature: the joint modeling of interdependent risk dimensions through advanced data science techniques.The book bridges the divide between academic theory and real-world practice, demonstrating how machine learning can be systematically applied to model complex risk behaviors, capture regime shifts, and improve portfolio resilience. Traditional risk frameworks often struggle to handle nonlinear, high-dimensional, and heavy-tailed market dynamics. In contrast, this book integrates ML-based optimization techniques—covering liquidity proxies, price impact models, Liquidity-Adjusted Value-at-Risk (LVaR), and regime-switching volatility structures—to offer a more adaptive and robust risk management paradigm. Each chapter offers a balance of quantitative depth and application-oriented insight, enabling readers to connect rigorous research with day-to-day decision-making in risk and portfolio management.

A Unified Machine-Learning-Compatible Framework for Proprietary Trading, Portfolio Management, and Financial Stability

Quantitative Market and Liquidity Risk Analytics

AI for Risks

The book adopts a technology-driven, application-oriented, and interdisciplinary approach to study social complex systems. It centers on the development of a simulation platform: first, it builds core technical supports; then, it integrates key functional modules; finally, it applies the platform to multiple real-world fields to solve practical problems through simulation. This approach combines theoretical modeling with technical implementation and scenario application, forming a "theory-technology-application" closed loop.The book’s content covers three main dimensions, with a broad and systematic scope:Technical foundation: Design and implementation of the simulation platform, including no-code modeling environment, high-performance parallel simulation engine, and core functional modules.Field applications: Simulation research on typical social complex systems, such as global supply chain resilience, energy transition socio-technical systems, financial market systemic risk, urbanization and land-use change, and online social network information diffusion.Theoretical and forward-looking discussion: Review of theoretical foundations of social complex systems, research framework construction, and prospects for simulation platforms as social science infrastructure, along with ethical and governance issues.The book targets a multi-disciplinary audience, including: 1) Researchers and graduate students in social sciences and technical fields Practitioners in policy-making and enterprise management who need simulation tools for decision support; 3) Developers and technicians engaged in simulation platform design and application.

Auction Theory

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