The Economics of Food Price Volatility

The Economics of Food Price Volatility

Author: Jean-Paul Chavas

Publisher: University of Chicago Press

Published: 2014-10-14

Total Pages: 394

ISBN-13: 022612892X

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"The conference was organized by the three editors of this book and took place on August 15-16, 2012 in Seattle."--Preface.


The Missing Risk Premium

The Missing Risk Premium

Author: Eric G. Falkenstein

Publisher: Createspace Independent Publishing Platform

Published: 2012-08-16

Total Pages: 0

ISBN-13: 9781470110970

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Risk is the deviation from the consensus rather than an exposure to a covariance, and this implies there is no risk premium in general. It also implies that when there are a large number of people buying highly volatile assets, such assets will have negative returns in equilibrium. As there are several independent motivations for people to buy highly volatile assets, intuitively risky assets generally have lower-than-average returns. This novel conception of risk implies many things more consistent with the data than the current theory. Risk taking is an important life skill, so understanding its nature is important, and unfortunately academics who study it full-time are like so many other experts: when not irrelevant, 180 degrees wrong. This book explains the current asset pricing theory, and proposes an alternative, using theory and a unique survey of the data across many asset classes. Familiarity with some MBA level finance is helpful but not necessary to appreciate this book.


Debt, Risk and Liquidity in Futures Markets

Debt, Risk and Liquidity in Futures Markets

Author: Barry Goss

Publisher: Routledge

Published: 2007-09-17

Total Pages: 231

ISBN-13: 1134147325

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Including contributions from Jerome Stein and Guay Lim, this book explores debt and liquidity in finance. In three parts it covers developing country debt and currency crises, risk, and risk management in futures markets and liquidity.


Multi-Asset Risk Modeling

Multi-Asset Risk Modeling

Author: Morton Glantz

Publisher: Academic Press

Published: 2013-12-03

Total Pages: 545

ISBN-13: 0124016944

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Multi-Asset Risk Modeling describes, in a single volume, the latest and most advanced risk modeling techniques for equities, debt, fixed income, futures and derivatives, commodities, and foreign exchange, as well as advanced algorithmic and electronic risk management. Beginning with the fundamentals of risk mathematics and quantitative risk analysis, the book moves on to discuss the laws in standard models that contributed to the 2008 financial crisis and talks about current and future banking regulation. Importantly, it also explores algorithmic trading, which currently receives sparse attention in the literature. By giving coherent recommendations about which statistical models to use for which asset class, this book makes a real contribution to the sciences of portfolio management and risk management. - Covers all asset classes - Provides mathematical theoretical explanations of risk as well as practical examples with empirical data - Includes sections on equity risk modeling, futures and derivatives, credit markets, foreign exchange, and commodities


Dynamic Asset Pricing Theory

Dynamic Asset Pricing Theory

Author: Darrell Duffie

Publisher: Princeton University Press

Published: 2010-01-27

Total Pages: 488

ISBN-13: 1400829208

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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.


Advanced Fixed Income Analysis

Advanced Fixed Income Analysis

Author: Moorad Choudhry

Publisher: Elsevier

Published: 2015-08-28

Total Pages: 268

ISBN-13: 0080999417

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Each new chapter of the Second Edition covers an aspect of the fixed income market that has become relevant to investors but is not covered at an advanced level in existing textbooks. This is material that is pertinent to the investment decisions but is not freely available to those not originating the products. Professor Choudhry's method is to place ideas into contexts in order to keep them from becoming too theoretical. While the level of mathematical sophistication is both high and specialized, he includes a brief introduction to the key mathematical concepts. This is a book on the financial markets, not mathematics, and he provides few derivations and fewer proofs. He draws on both his personal experience as well as his own research to bring together subjects of practical importance to bond market investors and analysts. - Presents practitioner-level theories and applications, never available in textbooks - Focuses on financial markets, not mathematics - Covers relative value investing, returns analysis, and risk estimation


The Science of Algorithmic Trading and Portfolio Management

The Science of Algorithmic Trading and Portfolio Management

Author: Robert Kissell

Publisher: Academic Press

Published: 2013-10-01

Total Pages: 492

ISBN-13: 0124016936

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The Science of Algorithmic Trading and Portfolio Management, with its emphasis on algorithmic trading processes and current trading models, sits apart from others of its kind. Robert Kissell, the first author to discuss algorithmic trading across the various asset classes, provides key insights into ways to develop, test, and build trading algorithms. Readers learn how to evaluate market impact models and assess performance across algorithms, traders, and brokers, and acquire the knowledge to implement electronic trading systems. This valuable book summarizes market structure, the formation of prices, and how different participants interact with one another, including bluffing, speculating, and gambling. Readers learn the underlying details and mathematics of customized trading algorithms, as well as advanced modeling techniques to improve profitability through algorithmic trading and appropriate risk management techniques. Portfolio management topics, including quant factors and black box models, are discussed, and an accompanying website includes examples, data sets supplementing exercises in the book, and large projects. - Prepares readers to evaluate market impact models and assess performance across algorithms, traders, and brokers. - Helps readers design systems to manage algorithmic risk and dark pool uncertainty. - Summarizes an algorithmic decision making framework to ensure consistency between investment objectives and trading objectives.