Bøker av Darrell Duffie

A rigorous examination of the role of information and martingales in multiperiod securities trading, and their impact on resolution times. Essential reading for economists and financial professionals.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it.This work is in the "public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.

Post-crisis capital regulations and new failure-resolution rules increase the funding costs that are borne by bank shareholders, and thus the cost to buy-side firms for access to space on the balance sheets of large banks. A policy implication is the encouragement of market infrastructure and trading methods that reduce the amount of space on bank balance sheets that is needed to conduct a given amount of trade. Using models and evidence, this book addresses the implications for financial-market liquidity of these regulations for systemically important banks and argues that current rules do not allow for potential levels of market efficiency and financial stability. In this insightful analysis of the impact of regulation on financial market efficiency post-2008, the author argues that bank capital levels could actually be pushed higher while still improving the liquidity of markets for safe assets such as low-risk fixed-income instruments by relaxing the leverage-ratio rule and increasing risk-based capital requirements.

Over-the-counter (OTC) markets for derivatives, collateralized debt obligations, and repurchase agreements played a significant role in the global financial crisis. Rather than being traded through a centralized institution such as a stock exchange, OTC trades are negotiated privately between market participants who may be unaware of prices that are currently available elsewhere in the market. In these relatively opaque markets, investors can be in the dark about the most attractive available terms and who might be offering them. This opaqueness exacerbated the financial crisis, as regulators and market participants were unable to quickly assess the risks and pricing of these instruments. Dark Markets offers a concise introduction to OTC markets by explaining key conceptual issues and modeling techniques, and by providing readers with a foundation for more advanced subjects in this field. Darrell Duffie covers the basic methods for modeling search and random matching in economies with many agents. He gives an overview of asset pricing in OTC markets with symmetric and asymmetric information, showing how information percolates through these markets as investors encounter each other over time. This book also features appendixes containing methodologies supporting the more theory-oriented of the chapters, making this the most self-contained introduction to OTC markets available.

Dealer banks--that is, large banks that deal in securities and derivatives, such as J. P. Morgan and Goldman Sachs--are of a size and complexity that sharply distinguish them from typical commercial banks. When they fail, as we saw in the global financial crisis, they pose significant risks to our financial system and the world economy. How Big Banks Fail and What to Do about It examines how these banks collapse and how we can prevent the need to bail them out. In sharp, clinical detail, Darrell Duffie walks readers step-by-step through the mechanics of large-bank failures. He identifies where the cracks first appear when a dealer bank is weakened by severe trading losses, and demonstrates how the bank's relationships with its customers and business partners abruptly change when its solvency is threatened. As others seek to reduce their exposure to the dealer bank, the bank is forced to signal its strength by using up its slim stock of remaining liquid capital. Duffie shows how the key mechanisms in a dealer bank's collapse--such as Lehman Brothers' failure in 2008--derive from special institutional frameworks and regulations that influence the flight of short-term secured creditors, hedge-fund clients, derivatives counterparties, and most devastatingly, the loss of clearing and settlement services. How Big Banks Fail and What to Do about It reveals why today's regulatory and institutional frameworks for mitigating large-bank failures don't address the special risks to our financial system that are posed by dealer banks, and outlines the improvements in regulations and market institutions that are needed to address these systemic risks.

This is a thoroughly updated edition of Dynamic Asset Pricing Theory, the standard text for doctoral students and researchers on the theory of asset pricing and portfolio selection in multiperiod settings under uncertainty. The asset pricing results are based on the three increasingly restrictive assumptions: absence of arbitrage, single-agent optimality, and equilibrium. These results are unified with two key concepts, state prices and martingales. Technicalities are given relatively little emphasis, so as to draw connections between these concepts and to make plain the similarities between discrete and continuous-time models. Readers will be particularly intrigued by this latest edition's most significant new feature: a chapter on corporate securities that offers alternative approaches to the valuation of corporate debt. Also, while much of the continuous-time portion of the theory is based on Brownian motion, this third edition introduces jumps--for example, those associated with Poisson arrivals--in order to accommodate surprise events such as bond defaults. Applications include term-structure models, derivative valuation, and hedging methods. Numerical methods covered include Monte Carlo simulation and finite-difference solutions for partial differential equations. Each chapter provides extensive problem exercises and notes to the literature. A system of appendixes reviews the necessary mathematical concepts. And references have been updated throughout. With this new edition, Dynamic Asset Pricing Theory remains at the head of the field.