Bøker av Riccardo Rebonato

Rebonato gives an authoritative, clear, and up-to-date explanation of the cutting-edge innovations in affine modeling for government bonds.

Portfolio Management under Stress offers a novel way to apply the well-established Bayesian-net methodology to the important problem of asset allocation under conditions of market distress or, more generally, when an investor believes that a particular scenario (such as the break-up of the Euro) may occur. Employing a coherent and thorough approach, it provides practical guidance on how best to choose an optimal and stable asset allocation in the presence of user specified scenarios or 'stress conditions'. The authors place causal explanations, rather than association-based measures such as correlations, at the core of their argument, and insights from the theory of choice under ambiguity aversion are invoked to obtain stable allocations results. Step-by-step design guidelines are included to allow readers to grasp the full implementation of the approach, and case studies provide clarification. This insightful book is a key resource for practitioners and research academics in the post-financial crisis world.

Today's top financial-risk professionals have come to rely on ever-more sophisticated mathematics in their attempts to come to grips with financial risk. But this excessive reliance on quantitative precision is misleading--and it puts us all at risk. This is the case that Riccardo Rebonato makes in Plight of the Fortune Tellers--and coming from someone who is both an experienced market professional and an academic, this heresy is worth listening to. Rebonato forcefully argues that we must restore genuine decision making to our financial planning, and he shows us how to do it using probability, experimental psychology, and decision theory. This is the only way to effectively manage financial risk in a manner congruent with how human beings actually react to chance. Rebonato challenges us to rethink the standard wisdom about probability in financial-risk management. Risk managers have become obsessed with measuring risk and believe that these quantitative results by themselves can guide sound financial choices--but they can't. In this book, Rebonato offers a radical yet surprisingly commonsense solution, one that seeks to remind us that managing risk comes down to real people making decisions under uncertainty.Plight of the Fortune Tellers is not only a book for the decision makers of Wall Street, it's a must-read for anyone concerned about how today's financial markets are run. The stakes have never been higher--can you risk it?

In recent years, interest-rate modeling has developed rapidly in terms of both practice and theory. The academic and practitioners' communities, however, have not always communicated as productively as would have been desirable. As a result, their research programs have often developed with little constructive interference. In this book, Riccardo Rebonato draws on his academic and professional experience, straddling both sides of the divide to bring together and build on what theory and trading have to offer. Rebonato begins by presenting the conceptual foundations for the application of the LIBOR market model to the pricing of interest-rate derivatives. Next he treats in great detail the calibration of this model to market prices, asking how possible and advisable it is to enforce a simultaneous fitting to several market observables. He does so with an eye not only to mathematical feasibility but also to financial justification, while devoting special scrutiny to the implications of market incompleteness. Much of the book concerns an original extension of the LIBOR market model, devised to account for implied volatility smiles. This is done by introducing a stochastic-volatility, displaced-diffusion version of the model. The emphasis again is on the financial justification and on the computational feasibility of the proposed solution to the smile problem. This book is must reading for quantitative researchers in financial houses, sophisticated practitioners in the derivatives area, and students of finance.