This book sheds light on the emotional side of risk taking behaviour using an innovative cross-disciplinary approach, mixing financial competences with psychology and affective neuroscience. In doing so, it shows the implications for market participants and regulators in terms of transparency and communication between intermediaries and customers.

This content provides financial analysts, investment professionals, and financial planners with a review of how financial risk-tolerance tests can and should be evaluated. It begins by clarifying terms related to risk taking and is followed by a broad overview of two important measurement terms: validity and reliability. It concludes with examples for practice.

This second edition of the authoritative resource summarizes the state of consumer finance research across disciplines for expert findings on—and strategies for enhancing—consumers’ economic health. New and revised chapters offer current research insights into familiar concepts (retirement saving, bankruptcy, marriage and finance) as well as the latest findings in emerging areas, including healthcare costs, online shopping, financial therapy, and the neuroscience behind buyer behavior. The expanded coverage also reviews economic challenges of diverse populations such as ethnic groups, youth, older adults, and entrepreneurs, reflecting the ubiquity of monetary issues and concerns. Underlying all chapters is the increasing importance of financial literacy training and other large-scale interventions in an era of economic transition. Among the topics covered: Consumer financial capability and well-being. Advancing financial literacy education using a framework for evaluation. Financial coaching: defining an emerging field. Consumer finance of low-income families. Financial parenting: promoting financial self-reliance of young consumers. Financial sustainability and personal finance education. Accessibly written for researchers and practitioners, this Second Edition of the Handbook of Consumer Finance Research will interest professionals involved in improving consumers’ fiscal competence. It also makes a worthwhile text for graduate and advanced undergraduate courses in economics, family and consumer studies, and related fields.

If risk aversion and willingness to take on risk are driven by emotions and we as humans are bad at correctly identifying them, the finance profession has a serious challenge at hand—how to reliably identify the individual risk profile of a retail investor or high-net-worth individual. In this series of CFA Institute Research Foundation briefs, we have asked academics and practitioners to summarize the current state of knowledge about risk profiling in different key areas.

WINNER, Business: Personal Finance/Investing, 2015 USA Best Book Awards FINALIST, Business: Reference, 2015 USA Best Book Awards Investor Behavior provides readers with a comprehensive understanding and the latest research in the area of behavioral finance and investor decision making. Blending contributions from noted academics and experienced practitioners, this 30-chapter book will provide investment professionals with insights on how to understand and manage client behavior; a framework for interpreting financial market activity; and an in-depth understanding of this important new field of investment research. The book should also be of interest to academics, investors, and students. The book will cover the major principles of investor psychology, including heuristics, bounded rationality, regret theory, mental accounting, framing, prospect theory, and loss aversion. Specific sections of the book will delve into the role of personality traits, financial therapy, retirement planning, financial coaching, and emotions in investment decisions. Other topics covered include risk perception and tolerance, asset allocation decisions under inertia and inattention bias; evidenced based financial planning, motivation and satisfaction, behavioral investment management, and neurofinance. Contributions will delve into the behavioral underpinnings of various trading and investment topics including trader psychology, stock momentum, earnings surprises, and anomalies. The final chapters of the book examine new research on socially responsible investing, mutual funds, and real estate investing from a behavioral perspective. Empirical evidence and current literature about each type of investment issue are featured. Cited research studies are presented in a straightforward manner focusing on the comprehension of study findings, rather than on the details of mathematical frameworks.

An investor’s risk attitude is a stable characteristic, like a personality trait, but risk-taking behavior can change based on the investor’s age, recent market events, and life experiences. These factors change investors’ perceptions of the risks. Differences in risk tolerance between men and women or in different circumstances trace back to emotional as much as rational considerations. Financial advisers should consider all of these factors when advising clients and can use four simple steps to incorporate best practices: be aware, educate, nudge, and hand hold.

The ultimate guide to maximizing shareholder value through ERM The first book to introduce an emerging approach synthesizing ERM and value-based management, Corporate Value of Enterprise Risk Management clarifies ERM as a strategic business management approach that enhances strategic planning and other decision-making processes. A hot topic in the wake of a series of corporate scandals as well as the financial crisis Looks at ERM as a way to deliver on the promise of balancing risk and return A practical guide for corporate Chief Risk Officers (CROs) and other business professionals seeking to successfully implement ERM ERM is here to stay. Sharing his unique insights and experiences as a recognized global thought leader in this field, author Sim Segal offers world-class guidance on how your business can successfully implement ERM to protect and increase shareholder value.

This handbook in two parts covers key topics of the theory of financial decision making. Some of the papers discuss real applications or case studies as well. There are a number of new papers that have never been published before especially in Part II.Part I is concerned with Decision Making Under Uncertainty. This includes subsections on Arbitrage, Utility Theory, Risk Aversion and Static Portfolio Theory, and Stochastic Dominance. Part II is concerned with Dynamic Modeling that is the transition for static decision making to multiperiod decision making. The analysis starts with Risk Measures and then discusses Dynamic Portfolio Theory, Tactical Asset Allocation and Asset-Liability Management Using Utility and Goal Based Consumption-Investment Decision Models.A comprehensive set of problems both computational and review and mind expanding with many unsolved problems are in an accompanying problems book. The handbook plus the book of problems form a very strong set of materials for PhD and Masters courses both as the main or as supplementary text in finance theory, financial decision making and portfolio theory. For researchers, it is a valuable resource being an up to date treatment of topics in the classic books on these topics by Johnathan Ingersoll in 1988, and William Ziemba and Raymond Vickson in 1975 (updated 2 nd edition published in 2006).

Robo-Advisory is a field that has gained momentum over recent years, propelled by the increasing digitalization and automation of global financial markets. More and more money has been flowing into automated advisory, raising essential questions regarding the foundations, mechanics, and performance of such solutions. However, a comprehensive summary taking stock of this new solution at the intersection of finance and technology with consideration for both aspects of theory and implementation has so far been wanting. This book offers such a summary, providing unique insights into the state of Robo-Advisory. Drawing on a pool of expert authors from within the field, this edited collection aims at being the vital go-to resource for academics, students, policy-makers, and practitioners alike wishing to engage with the topic. Split into four parts, the book begins with a survey of academic literature and its key insights paired with an analysis of market developments in Robo-Advisory thus far. The second part tackles specific questions of implementation, which are complemented by practical case studies in Part III. Finally, the fourth part looks ahead to the future, addressing questions of key importance such as artificial intelligence, big data, and social networks. Thereby, this timely book conveys both a comprehensive grasp of the status-quo as well as a guiding outlook onto future trends and developments within the field.

This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight.