This open access volume explores the cutting edge of quantitative methods in agricultural risk management and insurance. Composed of insightful articles authored by field experts, focusing on innovation, recent advancements, and the use of technology and data sciences, it bridges the gap between theory and practice through empirical studies, concrete examples and case analyses.Evolving challenges in risk management have called for the development of new, groundbreaking models. Beyo...

This text gives budding actuaries and financial analysts a foundation in multiple regression and time series. They will learn about these statistical techniques using data on the demand for insurance, lottery sales, foreign exchange rates, and other applications. Although no specific knowledge of risk management or finance is presumed, the approach introduces applications in which statistical techniques can be used to analyze real data of interest. In addition to the fundamentals, this boo...

Addresses newly exposed weaknesses of financial risk models in the context of market stress scenariosThis will be the definitive book for readers looking to improve their approach to modeling financial risk

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...

The consumer price index (CPI) measures the rate at which the prices of consumer goods and services are changing over time. It is a key statistic for economic and social policymaking and has substantial and wide-ranging implications for governments, businesses, and households. This important and comprehensive Manual provides guidelines for statistical offices and other agencies responsible for constructing CPIs, and explains in-depth the methods that are used to calculate a CPI. It also exami...

This book which provides an overview of contemporary topics related to the modelling of financial time series, is set against a backdrop of rapid expansions of interest in both the models themselves and the financial problems to which they are applied. This excellent textbook covers all the major developments in the area in recent years in an informative as well as succinct way. Refreshingly, every chapter has a section of two or more examples and a section of empirical literature, offerin...

The highly prized ability to make financial plans with some certainty about the future comes from the core fields of economics. In recent years the availability of more data, analytical tools of greater precision, and ex post studies of business decisions have increased demand for information about economic forecasting. Volumes 2A and 2B, which follows Nobel laureate Clive Granger's Volume 1 (2006), concentrate on two major subjects. Volume 2A covers innovations in methodologies, specifica...

This trusted textbook returns in its 4th edition with even more exercises to help consolidate understanding - and a companion website featuring additional materials, including a solutions manual for instructors. Offering a unique blend of theory and practical application, it provides ideal preparation for doing applied econometric work as it takes students from a basic level up to an advanced understanding in an intuitive, step-by-step fashion. Clear presentation of economic tests and meth...

[flap]For investors, risk is about the odds of losing money, and Value at Risk (VaR) is grounded in that common-sense fact. VAR modeling answers, “What is my worst-case scenario?” and “How much could I lose in a really bad month?”However, there has not been an effective guidebook available to help investors and financial managers make their own VaR calculations--until now.The VaR Implementation Handbook is a hands-on road map for professionals who have a so...

In physics, some phenomena, such as the movement of the stars or the movement of time, can be forecast with 100% certainty. The future of economic and financial variables, such as interest rates or stock prices, however, is uncertain. But we can forecast them with a certain probability. That is what this book does. We discuss 10 methods, from simple methods such as fundamental and technical analysis, to established statistical methods such as linear and non-linear regression function extra...

This textbook offers a comprehensive introduction to panel data econometrics, an area that has enjoyed considerable growth over the last two decades. Micro and Macro panels are becoming increasingly available, and methods for dealing with these types of data are in high demand among practitioners. Software programs have fostered this growth, including freely available programs in R and numerous user-written programs in both Stata and EViews.Written by one of the world’s leading res...

This book provides introductory principles and tools needed to take concise business decision. The book is written with many examples and illustration to help the reader follow through the concepts and principle needed to arrive at the best decision to solve business problems. It is written with undergraduate, polytechnics, and other tertiary students in mind to make the topic student friendly.