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The Production of Knowledge
A wide-ranging discussion of factors that impede the cumulation of knowledge in the social sciences, including problems of transparency, replication, and reliability. Rather than focusing on individual studies or methods, this book examines how collective institutions and practices have (often unintended) impacts on the production of knowledge.
Investment Luminaries and Their Insights: 25 Years of the Research Foundation Vertin Award
CFA Institute Research Foundation is honored and delighted to present these insights from 25 years of Vertin Award recipients. These legends of the investment industry range in stature from Nobel Prize winners to billionaire hedge fund managers, from distinguished professors of finance who have shaped thousands of young minds to editors of prestigious academic journals and authors of some of the most popular investment books ever published. Although their backgrounds vary widely, they hold one thing in common: They all made substantial lifetime contributions to the field of investments. In this publication, these investment luminaries share: Their proudest accomplishments The most influentia...
Towards a New Paradigm for Statistical Evidence
Many scientists now widely agree that the current paradigm of statistical significance should be abandoned or largely modified. In response to these calls for change, a Special Issue of Econometrics (MDPI) has been proposed. This book is a collection of the articles that have been published in this Special Issue. These seven articles add new insights to the problem and propose new methods that lay a solid foundation for the new paradigm for statistical significance.
Risk Analysis and Portfolio Modelling
Financial Risk Measurement is a challenging task, because both the types of risk and the techniques evolve very quickly. This book collects a number of novel contributions to the measurement of financial risk, which address either non-fully explored risks or risk takers, and does so in a wide variety of empirical contexts.
Financial Economics and Econometrics
Financial Economics and Econometrics provides an overview of the core topics in theoretical and empirical finance, with an emphasis on applications and interpreting results. Structured in five parts, the book covers financial data and univariate models; asset returns; interest rates, yields and spreads; volatility and correlation; and corporate finance and policy. Each chapter begins with a theory in financial economics, followed by econometric methodologies which have been used to explore the theory. Next, the chapter presents empirical evidence and discusses seminal papers on the topic. Boxes offer insights on how an idea can be applied to other disciplines such as management, marketing an...
Financial Data Engineering
Today, investment in financial technology and digital transformation is reshaping the financial landscape and generating many opportunities. Too often, however, engineers and professionals in financial institutions lack a practical and comprehensive understanding of the concepts, problems, techniques, and technologies necessary to build a modern, reliable, and scalable financial data infrastructure. This is where financial data engineering is needed. A data engineer developing a data infrastructure for a financial product possesses not only technical data engineering skills but also a solid understanding of financial domain-specific challenges, methodologies, data ecosystems, providers, form...
Hard Lessons in Corporate Governance
Examines how and why modern corporate governance practices fail to deliver better economic, managerial, environmental, or social outcomes.
Handbook of the Economics of Finance
In the 11 articles in this first of two parts, top scholars summarize and analyze recent scholarship in corporate finance. Covering subjects from corporate taxes to behavioral corporate finance and econometric issues, their articles reveal how specializations resonate with each other and indicate likely directions for future research. By including both established and emerging topics, Volume 2 will have the same long shelf life and high citations that characterize Volume 1 (2003). - Presents coherent summaries of major finance fields, marking important advances and revisions - Describes the best corporate finance research created about the 2008 financial crises - Exposes readers to a wide range of subjects described and analyzed by the best scholars
Probabilistic Machine Learning for Finance and Investing
Whether based on academic theories or discovered empirically by humans and machines, all financial models are at the mercy of modeling errors that can be mitigated but not eliminated. Probabilistic ML technologies are based on a simple and intuitive definition of probability and the rigorous calculus of probability theory. Unlike conventional AI systems, probabilistic machine learning (ML) systems treat errors and uncertainties as features, not bugs. They quantify uncertainty generated from inexact model inputs and outputs as probability distributions, not point estimates. Most importantly, these systems are capable of forewarning us when their inferences and predictions are no longer useful...
Asset Pricing and Portfolio Choice Theory
Today all would agree that Mexico and the United States have never been closer--that the fates of the two republics are intertwined. Mexico has become an intimate part of life in almost every community in the United States, through immigration, imported produce, business ties, or illegal drugs. It is less a neighbor than a sibling; no matter what our differences, it is intricately a part of our existence. In the fully updated second edition of Mexico: What Everyone Needs to Know(R), Roderic Ai Camp gives readers the most essential information about our sister republic to the south. Camp organizes chapters around major themes--security and violence, economic development, foreign relations, th...
