Press:Springer Springer; Softcover reprint of hardcover 3rd ed. 2005 edition (January 14, 2010)
Author Name:Johannes Voit
The present third edition of The Statistical Mechanics of Financial Markets is published only four years after the ?rst edition.
The success of the book highlights the interest in a summary of the broad research activities on the application of statistical physics to ?nancial markets.
I am very grateful to readers and reviewers for their positive reception and comments.
Why then prepare a new edition instead of only reprinting and correcting the second edition? The new edition has been signi?cantly expanded, giving it a more pr- tical twist towards banking.
The most important extensions are due to my practical experience as a risk manager in the German Savings Banks’ As- ciation (DSGV): Two new chapters on risk management and on the closely related topic of economic and regulatory capital for ?nancial institutions, - spectively, have been added.
The chapter on risk management contains both the basics as well as advanced topics, e.
coherent risk measures, which have not yet reached the statistical physics community interested in ?nancial m- kets.
Similarly, it is surprising how little research by academic physicists has appeared on topics relating to Basel II.
Basel II is the new capital adequacy framework which will set the standards in risk management in many co- tries for the years to come.
Basel II is responsible for many job openings in banks for which physicists are extemely well quali?ed.
For these reasons, an outline of Basel II takes a major part of the chapter on capital.
From the Back Cover
This highly praised introductory treatment describes the parallels between statistical physics and finance - both those established in the 100-year long interaction between these disciplines, as well as new research results on financial markets.
The random-walk technique, well known in physics, is also the basic model in finance, upon which are built, for example, the Black-Scholes theory of option pricing and hedging, plus methods of portfolio optimization.
Here the underlying assumptions are assessed critically.
Using empirical financial data and analogies to physical models such as fluid flows, turbulence, or superdiffusion, the book develops a more accurate description of financial markets based on random walks.
With this approach, novel methods for derivative pricing and risk management can be formulated.
Computer simulations of interacting-agent models provide insight into the mechanisms underlying unconventional price dynamics.
It is shown that stock exchange crashes can be modelled in ways analogous to phase transitions and earthquakes, and sometimes have even been predicted successfully.
This third edition of The Statistical Mechanics of Financial Markets especially stands apart from other treatments because it offers new chapters containing a practitioner's treatment of two important current topics in banking: the basic notions and tools of risk management and capital requirements for financial institutions, including an overview of the new Basel II capital framework which may well set the risk management standards in scores of countries for years to come.
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