Valuable insights on the major methods used in today's asset and risk management arena Risk management has moved to the forefront of asset management since the credit crisis. However, most coverage of this subject is overly complicated, misunderstood, and extremely hard to apply. That's why Steven Greiner—a financial professional with over twenty years of quantitative and modeling experience—has written Investment Risk and Uncertainty. With this book, he skillfully reduces the complexity of risk management methodologies applied across many asset classes through practical examples of when to use what. Along the way, Greiner explores how particular methods can lower risk and mitigate losses. He also discusses how to stress test your portfolio and remove the exposure to regular risks and those from "Black Swan" events. More than just an explanation of specific risk issues, this reliable resource provides practical "off-the-shelf" applications that will allow the intelligent investor to understand their risks, their sources, and how to hedge those risks. Covers modern methods applied in risk management for many different asset classes Details the risk measurements of truly multi-asset class portfolios, while bridging the gap for managers in various disciplines—from equity and fixed income investors to currency and commodity investors Examines risk management algorithms for multi-asset class managers as well as risk managers, addressing new compliance issues and how to meet them The theory of risk management is hardly ever spelled out in practical applications that portfolio managers, pension fund advisors, and consultants can make use of. This book fills that void and will put you in a better position to confidently face the investment risks and uncertainties found in today's dynamic markets.

Risks and uncertainties?market, financial, operational, social, humanitarian, environmental, and institutional?are the inherent realities of the modern world. Stock market crashes, demonetization of currency, and climate change constitute just a few examples that can adversely impact financial institutions across the globe. To mitigate these risks and avoid a financial crisis, a better understanding of how the economy responds to uncertainties is needed. Maintaining Financial Stability in Times of Risk and Uncertainty is an essential reference source that discusses how risks and uncertainties affect the financial stability and security of individuals and institutions, as well as probable solutions to mitigate risk and achieve financial resilience under uncertainty. Featuring research on topics such as financial fraud, insurance ombudsman, and Knightian uncertainty, this book is developed for researchers, academicians, policymakers, students, and scholars.

A comprehensive framework for assessing strategies for managing risk and uncertainty, integrating theory and practice and synthesizing insights from many fields. This book offers a framework for making decisions under risk and uncertainty. Synthesizing research from economics, finance, decision theory, management, and other fields, the book provides a set of tools and a way of thinking that determines the relative merits of different strategies. It takes as its premise that we make better decisions if we use the whole toolkit of economics and related fields to inform our decision making. The text explores the distinction between risk and uncertainty and covers standard models of decision making under risk as well as more recent work on decision making under uncertainty, with a particular focus on strategic interaction. It also examines the implications of incomplete markets for managing under uncertainty. It presents four core strategies: a benchmark strategy (proceeding as if risk and uncertainty were low), a financial hedging strategy (valuable if there is much risk), an operational hedging strategy (valuable for conditions of much uncertainty), and a flexible strategy (valuable if there is much risk and/or uncertainty). The book then examines various aspects of these strategies in greater depth, building on empirical work in several different fields. Topics include price-setting, real options and Monte Carlo techniques, organizational structure, and behavioral biases. Many chapters include exercises and appendixes with additional material. The book can be used in graduate or advanced undergraduate courses in risk management, as a guide for researchers, or as a reference for management practitioners.

Increasingly, international legal arrangements imagine future worlds or create space for experts to articulate how the future can be conceptualized and managed. With the increased specialization of international law, a series of functional regimes and sub-regimes has emerged, each with their own imageries, vocabularies, expert-knowledge, and rules to translate our hopes and fears for the future into action in the present. At issue in the development of these regimes are not just competing predictions of the future based on what we know about what has happened in the past and what we know is happening in the present. Rather, these regimes seek to deal with futures about which we know very little or nothing at all; futures that are inherently uncertain and even potentially catastrophic; futures for which we need to find ways to identify, conceptualise, manage, and regulate risks the existence of which we can possibly only speculate about. This book explores how the future is imagined, articulated, and managed across the various fields of international law, including the use of force, maritime security, international economic and environmental law, and human rights. It investigates how the future is construed in these various areas; how the costs of risk, risk regulation, risk assessment, and risk management are distributed in international law; the effect of uncertain futures on the subjects of international law; and the way in which international law operates when faced with catastrophic or existential risk.

A clear understanding of what we know, don't know, and can't know should guide any reasonable approach to managing financial risk, yet the most widely used measure in finance today--Value at Risk, or VaR--reduces these risks to a single number, creating a false sense of security among risk managers, executives, and regulators. This book introduces a more realistic and holistic framework called KuU --the K nown, the u nknown, and the U nknowable--that enables one to conceptualize the different kinds of financial risks and design effective strategies for managing them. Bringing together contributions by leaders in finance and economics, this book pushes toward robustifying policies, portfolios, contracts, and organizations to a wide variety of KuU risks. Along the way, the strengths and limitations of "quantitative" risk management are revealed. In addition to the editors, the contributors are Ashok Bardhan, Dan Borge, Charles N. Bralver, Riccardo Colacito, Robert H. Edelstein, Robert F. Engle, Charles A. E. Goodhart, Clive W. J. Granger, Paul R. Kleindorfer, Donald L. Kohn, Howard Kunreuther, Andrew Kuritzkes, Robert H. Litzenberger, Benoit B. Mandelbrot, David M. Modest, Alex Muermann, Mark V. Pauly, Til Schuermann, Kenneth E. Scott, Nassim Nicholas Taleb, and Richard J. Zeckhauser. Introduces a new risk-management paradigm Features contributions by leaders in finance and economics Demonstrates how "killer risks" are often more economic than statistical, and crucially linked to incentives Shows how to invest and design policies amid financial uncertainty

Financial risk management is a topic of primary importance in financial markets. It is important to learn how to measure and control risk, how to be primed for the opportunity of compensative return, and how to avoid useless exposure.

A thoroughly revised and updated edition of a textbook for graduate students in finance, with new coverage of global financial institutions. This thoroughly revised and updated edition of a widely used textbook for graduate students in finance now provides expanded coverage of global financial institutions, with detailed comparisons of U.S. systems with non-U.S. systems. A focus on the actual practices of financial institutions prepares students for real-world problems. After an introduction to financial markets and market participants, including asset management firms, credit rating agencies, and investment banking firms, the book covers risks and asset pricing, with a new overview of risk; the structure of interest rates and interest rate and credit risks; the fundamentals of primary and secondary markets; government debt markets, with new material on non-U.S. sovereign debt markets; corporate funding markets, with new coverage of small and medium enterprises and entrepreneurial ventures; residential and commercial real estate markets; collective investment vehicles, in a chapter new to this edition; and financial derivatives, including financial futures and options, interest rate derivatives, foreign exchange derivatives, and credit risk transfer vehicles such as credit default swaps. Each chapter begins with learning objectives and ends with bullet point takeaways and questions.

Assessment of risk and uncertainty is crucial for natural hazard risk management, facilitating risk communication and informing strategies to successfully mitigate our society's vulnerability to natural disasters. Written by some of the world's leading experts, this book provides a state-of-the-art overview of risk and uncertainty assessment in natural hazards. It presents the core statistical concepts using clearly defined terminology applicable across all types of natural hazards and addresses the full range of sources of uncertainty, the role of expert judgement and the practice of uncertainty elicitation. The core of the book provides detailed coverage of all the main hazard types and concluding chapters address the wider societal context of risk management. This is an invaluable compendium for academic researchers and professionals working in the fields of natural hazards science, risk assessment and management and environmental science, and will be of interest to anyone involved in natural hazards policy.

A Probability Metrics Approach to Financial Risk Measures relates the field of probability metrics and risk measures to one another and applies them to finance for the first time. Helps to answer the question: which risk measure is best for a given problem? Finds new relations between existing classes of risk measures Describes applications in finance and extends them where possible Presents the theory of probability metrics in a more accessible form which would be appropriate for non-specialists in the field Applications include optimal portfolio choice, risk theory, and numerical methods in finance Topics requiring more mathematical rigor and detail are included in technical appendices to chapters