Introduces the latest techniques advocated for measuring financial market risk and portfolio optimisation, and provides a plethora of R code examples that enable the reader to replicate the results featured throughout the book. Financial Risk Modelling and Portfolio Optimisation with R: Demonstrates techniques in modelling financial risks and applying portfolio optimisation tec...(展开全部)

Stochastic optimization problems arise in decision-making problems under uncertainty, and find various applications in economics and finance. On the other hand, problems in finance have recently led to new developments in the theory of stochastic control. This volume provides a systematic treatment of stochastic optimization problems applied to finance by presenting the differ...(展开全部)

The essential guide to managing financial institution risk, fully revised and updated The dangers inherent in the financial system make understanding risk management essential for anyone working in, or planning to work in, the financial sector. A practical resource for financial professionals and students alike, Risk Management and Financial Institutions, Third Edition expla...(展开全部)

In the 2nd edition some sections of Part I are omitted for better readability, and a brand new chapter is devoted to volatility risk. As a consequence, hedging of plain-vanilla options and valuation of exotic options are no longer limited to the Black-Scholes framework with constant volatility. In the 3rd printing of the 2nd edition, the second Chapter on discrete-time markets ...(展开全部)

Comprehensive tools and methods to help you build, develop and apply financial models using Microsoft Excel, enabling you to get better, more accurate results, faster. The new edition of this bestselling title begins by explaining basic modelling techniques before moving through to more complex models. The book is divided into two parts: the first part outlines model designs an...(展开全部)

Emphasizing the inductive nature of statistical thinking, Environmental and Ecological Statistics with R, Second Edition, connects applied statistics to the environmental and ecological fields. Using examples from published works in the ecological and environmental literature, the book explains the approach to solving a statistical problem, covering model specification, paramet...(展开全部)

Features · Provides an authoritative and comprehensive guide to the knitr package in R · Emphasizes reproducible research · Covers both simple examples and full applications, from homework to websites to books · Describes a wide range of options, useful tricks, and solutions · Explains the internal design and extensions of the knitr package · Offers demos and other information ...(展开全部)