Principles of Financial Engineering, Third Edition, is a highly acclaimed text on the fast-paced and complex subject of financial engineering. This updated edition describes the "engineering" elements of financial engineering instead of the mathematics underlying it. It shows how to use financial tools to accomplish a goal rather than describing the tools themselves. It lays emphasis on the engineering aspects of derivatives (how to create them) rather than their pricing (how they act) in ...

The modern marketplace is increasingly unpredictable and there is an ever-greater need for non-financial managers to understand the financial and management accounting process.How to Understand Business Finance is part of the bestselling Creating Success series published in association with the Sunday Times, which has been translated into 25 languages with over 500, 000 copies sold. This book is written for those managing a business in a real market. It pr...

Extensive advertising and review coverage in the leading business and IT media throughout the UK and online. Plus a direct mail campaign targeting over 65,000 IT professionals and all major public lending and reference libraries.

Other books present corporate finance approaches to the venture capital and private equity industry, but many key decisions require an understanding of the ways that law and economics work together. This revised and updated 2e offers broad perspectives and principles not found in other course books, enabling readers to deduce the economic implications of specific contract terms. This approach avoids the common pitfalls of implying that contractual terms apply equally to firms in any indust...

Liquid markets generate hundreds or thousands of ticks (the minimum change in price a security can have, either up or down) every business day. Data vendors such as Reuters transmit more than 275,000 prices per day for foreign exchange spot rates alone. Thus, high-frequency data can be a fundamental object of study, as traders make decisions by observing high-frequency or tick-by-tick data. Yet most studies published in financial literature deal with low frequency, regularly spaced data. F...

Examine what would happen if we were to deploy blockchain technology at the sovereign level and use it to create a decentralized cashless economy. This book explains how finance and economics work today, and how the convergence of various technologies related to the financial sector can help us find solutions to problems, such as excessive debt creation, banks getting too big to fail, and shadow banking. The Blockchain Alternative offers sensible corrections to outdated and incorr...

Achieving macroeconomic equilibriumThis book is a practical and accessible guide to understanding the Mundell-Fleming model, providing you with the essential information and saving time.In 50 minutes you will be able to:• Learn about the IS-LM model that the Mundell-Fleming is based on and how each of the three curves of the model graph are formed, as well as how to interpret them• Analyze different exchange rate regimes and the effe...

This book proposes new methods to build optimal portfolios and to analyze market liquidity and volatility under market microstructure effects, as well as new financial risk measures using parametric and non-parametric techniques. In particular, it investigates the market microstructure of foreign exchange and futures markets.

Shareholder Value presents a powerful and useful toolkit of market-based perspectives, analytic approaches, valuation techniques, and specific financial metrics for use in everyday business life. The author helps a broad spectrum of professionals understand the salient points and real world implications of a 'value management' movement which has taken hold in many corporations in the United States and around the world. This movement is being supported by some of the major institutional inv...

Every year, financial services organizations make billions of dollars worth of decisions using automated systems. For example, who to give a credit card to and the premium someone should pay for their home insurance. This book explains how the forecasting models, that lie at the heart of these systems, are developed and deployed.

This book explores the intuitive appeal of neural networks and the genetic algorithm in finance. It demonstrates how neural networks used in combination with evolutionary computation outperform classical econometric methods for accuracy in forecasting, classification and dimensionality reduction. McNelis utilizes a variety of examples, from forecasting automobile production and corporate bond spread, to inflation and deflation processes in Hong Kong and Japan, to credit card default in Ger...

This book proposes new tools and models to price options, assess market volatility, and investigate the market efficiency hypothesis. In particular, it considers new models for hedge funds and derivatives of derivatives, and adds to the literature of testing for the efficiency of markets both theoretically and empirically.