Download Free Applied Commodity Price Analysis Forecasting And Risk Management Book in PDF and EPUB Free Download. You can read online Applied Commodity Price Analysis Forecasting And Risk Management and write the review.

Recent economic growth in China and other Asian countries has led to increased commodity demand which has caused price rises and accompanying price fluctuations not only for crude oil but also for the many other raw materials. Such trends mean that world commodity markets are once again under intense scrutiny. This book provides new insights into the modeling and forecasting of primary commodity prices by featuring comprehensive applications of the most recent methods of statistical time series analysis. The latter utilize econometric methods concerned with structural breaks, unobserved components, chaotic discovery, long memory, heteroskedasticity, wavelet estimation and fractional integration. Relevant tests employed include neural networks, correlation dimensions, Lyapunov exponents, fractional integration and rescaled range. The price forecasting involves structural time series trend plus cycle and cyclical trend models. Practical applications focus on the price behaviour of more than twenty international commodity markets.
Financial Risk Forecasting is a complete introduction to practical quantitative risk management, with a focus on market risk. Derived from the authors teaching notes and years spent training practitioners in risk management techniques, it brings together the three key disciplines of finance, statistics and modeling (programming), to provide a thorough grounding in risk management techniques. Written by renowned risk expert Jon Danielsson, the book begins with an introduction to financial markets and market prices, volatility clusters, fat tails and nonlinear dependence. It then goes on to present volatility forecasting with both univatiate and multivatiate methods, discussing the various methods used by industry, with a special focus on the GARCH family of models. The evaluation of the quality of forecasts is discussed in detail. Next, the main concepts in risk and models to forecast risk are discussed, especially volatility, value-at-risk and expected shortfall. The focus is both on risk in basic assets such as stocks and foreign exchange, but also calculations of risk in bonds and options, with analytical methods such as delta-normal VaR and duration-normal VaR and Monte Carlo simulation. The book then moves on to the evaluation of risk models with methods like backtesting, followed by a discussion on stress testing. The book concludes by focussing on the forecasting of risk in very large and uncommon events with extreme value theory and considering the underlying assumptions behind almost every risk model in practical use – that risk is exogenous – and what happens when those assumptions are violated. Every method presented brings together theoretical discussion and derivation of key equations and a discussion of issues in practical implementation. Each method is implemented in both MATLAB and R, two of the most commonly used mathematical programming languages for risk forecasting with which the reader can implement the models illustrated in the book. The book includes four appendices. The first introduces basic concepts in statistics and financial time series referred to throughout the book. The second and third introduce R and MATLAB, providing a discussion of the basic implementation of the software packages. And the final looks at the concept of maximum likelihood, especially issues in implementation and testing. The book is accompanied by a website - www.financialriskforecasting.com – which features downloadable code as used in the book.
Commodities: Markets, Performance, and Strategies provides a comprehensive look at commodity markets along many dimensions. Its coverage includes physical commodity fundamentals, financial products and strategies for commodity exposure, and current issues relating to commodities. Readers interested in commodity market basics or more nuanced details related to commodity investment can benefit.
This book discusses the issues of integration within food and fibre supply chains and the challenges in managing price risk. The problems of integration and price risk are interwoven in agricultural supply chains with production and supply risk as well as hoarding. However, without supply chain integration through commercial trade markets there can be no forward market upon which forward transactions and the management of price risk can be based. Without a forward market that can reduce opportunistic behaviour, there is likely to be little security of supply, particularly under high production risk and price uncertainty. Whilst price risk management is possible under certain circumstances, there are many factors that can prevent the development of forward markets or cause them to collapse, thus undermining the ability to manage price risk within acceptable risk and return parameters. Market positions therefore need to be valued and often settled daily due to the risk of contract default. In addition, the issue of currency risk and its management applies to international market positions and transactional exposures. The book analyses a range of price risk management strategies from forward contracting through to futures and options hedging, and finally to over-the-counter products. Evaluation techniques are developed to aid decision-making. The author concludes that forward market development may be the exception rather than the norm, and that whilst favourable price risk management outcomes may be possible, they can sometimes be caused more by luck than through good management. It is shown how tactics are an important consideration in decision-making to minimize costs and losses.
This book is a one-stop reference for practitioners and academics in finance, business and economics, providing a holistic reference to the international agriculture business. It takes a multidisciplinary approach, looking at the issues, opportunities and investable themes in the global agricultural space, combining research and practical tools.