Книги жанра корпоративные финансы
A complete framework for applications of behavioral finance in private banking, Behavioural Finance for Private Banking considers client needs specific to private banking like personal circumstances, objectives, and attitude to risk. This book includes the theoretical foundations of investment decision-making, an introduction to behavioral biases, an explanation of cultural differences in global b…
Leverage big data and demand into sustainable profitable growth Optimizing Growth is a handbook for how to succeed in the age of big data. Today’s business environment looks dramatically different than it did even a decade ago, and it continues to evolve at an increasing rate; macroeconomic shifts, consumer trends, technological advances, and changing competitive dynamics are accelerating the pace…
A detailed look at the worst M&A deals ever and the lessons learned from them It's common knowledge that about half of all merger and acquisition (M&A) transactions destroy value for the buyer's shareholders, and about three-quarters fall short of the expectations prevailing at the time the deal is announced. In Deals from Hell, Robert Bruner, one of the foremost thinkers and educators in this fie…
Credit derivatives have been instrumental in the recent increase in securitization activity. The complex nature and the size of the market have given rise to very complex counterparty credit risks. The Lehman failure has shown that these issues can paralyse the financial markets, and the need for detailed understanding has never been greater. The Art of Credit Derivatives shows practitioners how t…
Financial modelling Theory, Implementation and Practice with Matlab Source Jörg Kienitz and Daniel Wetterau Financial Modelling – Theory, Implementation and Practice with MATLAB Source is a unique combination of quantitative techniques, the application to financial problems and programming using Matlab. The book enables the reader to model, design and implement a wide range of financial models for…
Fletcher and Gardner have created a comprehensive resource that will be of interest not only to those working in the field of finance, but also to those using numerical methods in other fields such as engineering, physics, and actuarial mathematics. By showing how to combine the high-level elegance, accessibility, and flexibility of Python, with the low-level computational efficiency of C++, in th…
This is one of the first books that describe all the steps that are needed in order to analyze, design and implement Monte Carlo applications. It discusses the financial theory as well as the mathematical and numerical background that is needed to write flexible and efficient C++ code using state-of-the art design and system patterns, object-oriented and generic programming models in combination w…
In Practical Financial Optimization: A Library of GAMS Models, the authors provide a diverse set of models for portfolio optimization, based on the General Algebraic Modelling System. ‘GAMS’ consists of a language which allows a high-level, algebraic representation of mathematical models and a set of solvers – numerical algorithms – to solve them. The system was developed in response to the need f…
Professional investors are bombarded on a day to day basis with assertions about the role liquidity is playing and will play in determining prices in the financial markets. Few, if any, of the providers or recipients of such advice can truly claim to understand the well–springs of such liquidity and the transmission mechanisms through which it impacts asset prices. This groundbreaking new book exp…
Exciting new developments in risk assessment and management Risk assessment and management is fundamentally founded on the knowledge available on the system or process under consideration. While this may be self-evident to the laymen, thought leaders within the risk community have come to recognize and emphasize the need to explicitly incorporate knowledge (K) in a systematic, rigorous, and transp…
Mathematical techniques for trading and risk management. Managing Energy Risk closes the gap between modern techniques from financial mathematics and the practical implementation for trading and risk management. It takes a multi-commodity approach that covers the mutual influences of the markets for fuels, emission certificates, and power. It includes many practical examples and covers methods fro…
An incisive look at the war for market share in the Asian life insurance market Although the life insurance industry in Asia has emerged from the financial crisis stronger than ever, it has not escaped unchanged. As the general focus of insurance companies across the continent moves towards profitability beyond growth, tightening regulatory measures, shifts in consumer preferences, and risk tolera…
The LIBOR Market Model (LMM) is the first model of interest rates dynamics consistent with the market practice of pricing interest rate derivatives and therefore it is widely used by financial institution for valuation of interest rate derivatives. This book provides a full practitioner's approach to the LIBOR Market Model. It adopts the specific language of a quantitative analyst to the largest p…
This book is an introductory guide to using Lévy processes for credit risk modelling. It covers all types of credit derivatives: from the single name vanillas such as Credit Default Swaps (CDSs) right through to structured credit risk products such as Collateralized Debt Obligations (CDOs), Constant Proportion Portfolio Insurances (CPPIs) and Constant Proportion Debt Obligations (CPDOs) as well as…
The aim of this book is to study three essential components of modern finance – Risk Management, Asset Management and Asset and Liability Management, as well as the links that bind them together. It is divided into five parts: Part I sets out the financial and regulatory contexts that explain the rapid development of these three areas during the last few years and shows the ways in which the Risk …