Modeling and Forecasting Primary Commodity Prices


Book Description

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.




Commodity Prices and Markets


Book Description

Fluctuations of commodity prices, most notably of oil, capture considerable attention and have been tied to important economic effects. This book advances our understanding of the consequences of these fluctuations, providing both general analysis and a particular focus on the countries of the Pacific Rim.




Forecasting Commodity Markets


Book Description

Julian Roche explains every major method of forecasting markets; fundamental analysis, technical analysis, & econometric analysis. Roche discusses both the underlying theory & current application of each method, as well as pricing information on data sources & software. Moreover, the book evaluates the advantages & disadvantages of each approach & demonstrate how to combine approaches to produce an optimum forecasting method. Specific topics include: The history of fundamental, technical, & econometric analysis; Forecasting theories & applications; Accuracy of forecasting methods; The role of forecasting in trading decisions; The future of forecasting.




Global Uncertainty and the Volatility of Agricultural Commodities Prices


Book Description

The recent global financial crisis exposed the serious limitations of existing economic and financial models. Not only did macro models fail to predict the crisis, they seemed incapable of explaining what was happening to the economy. Policymakers felt abandoned by the conventional tools of the now obsolete Washington consensus and the World Trade Organization’s oversimplified faith in free markets.The traditional models for agricultural commodities have so far failed to take into account the uncertain character of the global agricultural economy and its ferocious consequences in food price volatility, the worst in 300 years, yielding hunger riots throughout the world. This book explores the elements which could help to close this fundamental modeling gap. To what extent should traditional models be questioned regarding agricultural commodities? Are prices on these markets foreseeable? Can their evolution be either predicted or convincingly simulated, and if so, by which methods and models? Presenting contributions from acknowledged experts from several countries and backgrounds – professors at major international universities or researchers within specialized international organizations – the book concentrates on four issues: the role of expectations and capacity of prediction; policy issues related to development strategies and food security; the role of hoarding and speculation and finally, global modeling methods. The book offers a renewed wisdom on some of the core issues in the world economy today and puts forward important innovations in analyzing these core issues, among which the modular modeling design, the Momagri model being a seminal example of it. Reading this book should inspire fruitful revisions in policy-making to improve the welfare of populations worldwide.




Commodity Modeling and Pricing


Book Description

Commodity Modeling and Pricing provides extensions and applications of state-of-the-art methods for analyzing resource commodity behavior. Drawing from the seminal work of Professor Walter Labys on the development of econometric methods for forecasting commodity prices, this collection of essays features expert contributors ranging from practitioners in private industry, public sector, and nongovernmental organizations to scholars in higher education–all of whom were Labys's former students or collaborators. Filled with in-depth insights and expert advice, Commodity Modeling and Pricing contains the information you need to excel in this demanding environment.




Modeling and Forecasting Primary Commodity Prices


Book Description

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.




Mastering the Grain Markets


Book Description

Updated content in 2018! (Including e-book friendly charts and tables.) Despite being excited by and interested in the grain markets, many participants crave a better understanding of them. Now there is a book to deliver that understanding in ways that could help you make money trading grain.Elaine Kub uses her talents for rigorous analysis and clear, approachable communication to offer this 360-degree look at all aspects of grain trading. From the seasonal patterns of modern grain production, to grain futures' utility as an investment asset, to the basis trading practices of the grain industry's most successful companies, Mastering The Grain Markets unveils something for everyone.The key to profitable grain trading, Kub argues, is building knowledge about the fundamental practices of the industry. To demonstrate the paramount importance of such intelligence, she uses anecdotes, clear examples, and her own experiences as a futures broker, market analyst, grain merchandiser, and farmer. The result is an immensely readable book that belongs in the hands of every investor, grain trader, farmer, merchant, and consumer who is interested in how profits are really made.




Modern Management in the Global Mining Industry


Book Description

This book brings together perspectives from economics, specifically minerals economics, to the management of global mining companies. It covers volatile price forecasting, cost analysis, investment decisions, and the social, environmental, and developmental impacts of mining.




Energy Transition Metals


Book Description

The energy transition requires substantial amounts of metals such as copper, nickel, cobalt and lithium. Are these metals a key bottleneck? We identify metal-specific demand shocks, estimate supply elasticities and pin down the price impact of the energy transition in a structural scenario analysis. Metal prices would reach historical peaks for an unprecedented, sustained period in a net-zero emissions scenario. The total value of metals production would rise more than four-fold for the period 2021 to 2040, rivaling the total value of crude oil production. Metals are a potentially important input into integrated assessments models of climate change.




Commodity Price Dynamics


Book Description

Commodities have become an important component of many investors' portfolios and the focus of much political controversy over the past decade. This book utilizes structural models to provide a better understanding of how commodities' prices behave and what drives them. It exploits differences across commodities and examines a variety of predictions of the models to identify where they work and where they fail. The findings of the analysis are useful to scholars, traders and policy makers who want to better understand often puzzling - and extreme - movements in the prices of commodities from aluminium to oil to soybeans to zinc.