Handbook Of Recent Advances In Commodity And Financial Modeling
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Handbook of Recent Advances in Commodity and Financial Modeling by Giorgio Consigli,Silvana Stefani,Giovanni Zambruno Pdf
This handbook includes contributions related to optimization, pricing and valuation problems, risk modeling and decision making problems arising in global financial and commodity markets from the perspective of Operations Research and Management Science. The book is structured in three parts, emphasizing common methodological approaches arising in the areas of interest: - Part I: Optimization techniques - Part II: Pricing and Valuation - Part III: Risk Modeling The book presents to a wide community of Academics and Practitioners a selection of theoretical and applied contributions on topics that have recently attracted increasing interest in commodity and financial markets. Within a structure based on the three parts, it presents recent state-of-the-art and original works related to: - The adoption of multi-criteria and dynamic optimization approaches in financial and insurance markets in presence of market stress and growing systemic risk; - Decision paradigms, based on behavioral finance or factor-based, or more classical stochastic optimization techniques, applied to portfolio selection problems including new asset classes such as alternative investments; - Risk measurement methodologies, including model risk assessment, recently applied to energy spot and future markets and new risk measures recently proposed to evaluate risk-reward trade-offs in global financial and commodity markets; and derivatives portfolio hedging and pricing methods recently put forward in the financial community in the aftermath of the global financial crisis.
For many academics, students, and professionals, the field of commodities is a black box. This book explores commodities in a holistic manner, presenting concepts from a multidisciplinary business and financial perspective, and offering a panoramic view of the global commodity business and markets. In this book, the author presents core issues related to global commodities with recent data including COVID-19. The book introduces the key physical commodities traded globally and some related issues such as the global supply chain, global trading, transportation, storage, and how to finance global commodity trades. Then, it discusses how global commodity businesses and traders manage global risks related to commodity production (generation or extraction), transportation, storage, the final delivery, and currency exchange. Additionally, the book discusses financial commodities, the origins of global commodity derivatives and exchanges, the rationale behind the birth of commodity futures and trading, hedging, speculation, financialization, and manipulation of commodity markets, and how financial trading is executed in real life. In the last section, the author also discusses sustainability issues related to global commodities and the financial valuation aspects of the global commodity businesses supported by examples from real cases with recent data.
Handbook of Multi-Commodity Markets and Products by Gianluca Fusai,Andrea Roncoroni,Mark Cummins Pdf
Handbook of Multi-Commodity Markets and ProductsOver recent decades, the marketplace has seen an increasing integration, not only among different types of commodity markets such as energy, agricultural, and metals, but also with financial markets. This trend raises important questions about how to identify and analyse opportunities in and manage risks of commodity products. The Handbook of Multi-Commodity Markets and Products offers traders, commodity brokers, and other professionals a practical and comprehensive manual that covers market structure and functioning, as well as the practice of trading across a wide range of commodity markets and products. Written in non-technical language, this important resource includes the information needed to begin to master the complexities of and to operate successfully in today’s challenging and fluctuating commodity marketplace. Designed as a practical practitioner-orientated resource, the book includes a detailed overview of key markets – oil, coal, electricity, emissions, weather, industrial metals, freight, agricultural and foreign exchange – and contains a set of tools for analysing, pricing and managing risk for the individual markets. Market features and the main functioning rules of the markets in question are pres- ented, along with the structure of basic financial products and standardised deals. A range of vital topics such as stochastic and econometric modelling, market structure analysis, contract engineering, as well as risk assessment and management are presented and discussed in detail with illustrative examples to commodity markets. The authors showcase how to structure and manage both simple and more complex multi-commodity deals. Addressing the issues of profit-making and risk management, the book reveals how to exploit pay-off profiles and trading strategies on a diversified set of commodity prices. In addition, the book explores how to price energy products and other commodities belonging to markets segmented across specific structural features. The Handbook of Multi-Commodity Markets and Products includes a wealth of proven methods and useful models that can be selected and developed in order to make appropriate estimations of the future evolution of prices and appropriate valuations of products. The authors additionally explore market risk issues and what measures of risk should be adopted for the purpose of accurately assessing exposure from multi-commodity portfolios. This vital resource offers the models, tools, strategies and general information commodity brokers and other professionals need to succeed in today’s highly competitive marketplace.
Handbooks in Operations Research and Management Science: Financial Engineering by John R. Birge,Vadim Linetsky Pdf
The remarkable growth of financial markets over the past decades has been accompanied by an equally remarkable explosion in financial engineering, the interdisciplinary field focusing on applications of mathematical and statistical modeling and computational technology to problems in the financial services industry. The goals of financial engineering research are to develop empirically realistic stochastic models describing dynamics of financial risk variables, such as asset prices, foreign exchange rates, and interest rates, and to develop analytical, computational and statistical methods and tools to implement the models and employ them to design and evaluate financial products and processes to manage risk and to meet financial goals. This handbook describes the latest developments in this rapidly evolving field in the areas of modeling and pricing financial derivatives, building models of interest rates and credit risk, pricing and hedging in incomplete markets, risk management, and portfolio optimization. Leading researchers in each of these areas provide their perspective on the state of the art in terms of analysis, computation, and practical relevance. The authors describe essential results to date, fundamental methods and tools, as well as new views of the existing literature, opportunities, and challenges for future research.
Handbook of Finance, Financial Markets and Instruments by Frank J. Fabozzi Pdf
Volume I: Financial Markets and Instruments skillfully covers the general characteristics of different asset classes, derivative instruments, the markets in which financial instruments trade, and the players in those markets. It also addresses the role of financial markets in an economy, the structure and organization of financial markets, the efficiency of markets, and the determinants of asset pricing and interest rates. Incorporating timely research and in-depth analysis, the Handbook of Finance is a comprehensive 3-Volume Set that covers both established and cutting-edge theories and developments in finance and investing. Other volumes in the set: Handbook of Finance Volume II: Investment Management and Financial Management and Handbook of Finance Volume III: Valuation, Financial Modeling, and Quantitative Tools.
Handbook of Quantitative Finance and Risk Management by Cheng-Few Lee,John Lee Pdf
Quantitative finance is a combination of economics, accounting, statistics, econometrics, mathematics, stochastic process, and computer science and technology. Increasingly, the tools of financial analysis are being applied to assess, monitor, and mitigate risk, especially in the context of globalization, market volatility, and economic crisis. This two-volume handbook, comprised of over 100 chapters, is the most comprehensive resource in the field to date, integrating the most current theory, methodology, policy, and practical applications. Showcasing contributions from an international array of experts, the Handbook of Quantitative Finance and Risk Management is unparalleled in the breadth and depth of its coverage. Volume 1 presents an overview of quantitative finance and risk management research, covering the essential theories, policies, and empirical methodologies used in the field. Chapters provide in-depth discussion of portfolio theory and investment analysis. Volume 2 covers options and option pricing theory and risk management. Volume 3 presents a wide variety of models and analytical tools. Throughout, the handbook offers illustrative case examples, worked equations, and extensive references; additional features include chapter abstracts, keywords, and author and subject indices. From "arbitrage" to "yield spreads," the Handbook of Quantitative Finance and Risk Management will serve as an essential resource for academics, educators, students, policymakers, and practitioners.
Handbook of Modeling High-Frequency Data in Finance by Frederi G. Viens,Maria Cristina Mariani,Ionut Florescu Pdf
CUTTING-EDGE DEVELOPMENTS IN HIGH-FREQUENCY FINANCIAL ECONOMETRICS In recent years, the availability of high-frequency data and advances in computing have allowed financial practitioners to design systems that can handle and analyze this information. Handbook of Modeling High-Frequency Data in Finance addresses the many theoretical and practical questions raised by the nature and intrinsic properties of this data. A one-stop compilation of empirical and analytical research, this handbook explores data sampled with high-frequency finance in financial engineering, statistics, and the modern financial business arena. Every chapter uses real-world examples to present new, original, and relevant topics that relate to newly evolving discoveries in high-frequency finance, such as: Designing new methodology to discover elasticity and plasticity of price evolution Constructing microstructure simulation models Calculation of option prices in the presence of jumps and transaction costs Using boosting for financial analysis and trading The handbook motivates practitioners to apply high-frequency finance to real-world situations by including exclusive topics such as risk measurement and management, UHF data, microstructure, dynamic multi-period optimization, mortgage data models, hybrid Monte Carlo, retirement, trading systems and forecasting, pricing, and boosting. The diverse topics and viewpoints presented in each chapter ensure that readers are supplied with a wide treatment of practical methods. Handbook of Modeling High-Frequency Data in Finance is an essential reference for academics and practitioners in finance, business, and econometrics who work with high-frequency data in their everyday work. It also serves as a supplement for risk management and high-frequency finance courses at the upper-undergraduate and graduate levels.
Agricultural Supply Chain Management Research by Onur Boyabatlı,Burak Kazaz,Christopher S. Tang Pdf
This book focuses on three essential elements of agricultural supply chains: Planting and Growing, Processing and Selling, and Government Interventions. For decades, most agricultural economists applied macro-economic theory in decisions pertaining to the optimization of food production and distribution. However, few researchers used micro-economic theory to examine how individual farmers respond to market information, incentive pricing mechanisms and different market structures in the trade of agricultural goods. Examining challenges in agricultural supply chain operations through the lens of micro-economic theory is imperative because it can enable policymakers and social enterprises to develop and design market information provision policy, incentive contracts and market structures for improving farmer and consumer welfare. In each chapter, contributing authors motivate their research questions by providing the context and articulating the importance of their questions. They present their analysis to examine the respective research questions and explain their results. At the end of each chapter, they provide a short list of future research questions.
Financial Modelling in Commodity Markets by Viviana Fanelli Pdf
Financial Modelling in Commodity Markets provides a basic and self-contained introduction to the ideas underpinning financial modelling of products in commodity markets. The book offers a concise and operational vision of the main models used to represent, assess and simulate real assets and financial positions related to the commodity markets. It discusses statistical and mathematical tools important for estimating, implementing and calibrating quantitative models used for pricing and trading commodity-linked products and for managing basic and complex portfolio risks. Key features: Provides a step-by-step guide to the construction of pricing models, and for the applications of such models for the analysis of real data Written for scholars from a wide range of scientific fields, including economics and finance, mathematics, engineering and statistics, as well as for practitioners Illustrates some important pricing models using real data sets that will be commonly used in financial markets
Hidden Markov Models in Finance by Rogemar S. Mamon,Robert J. Elliott Pdf
Since the groundbreaking research of Harry Markowitz into the application of operations research to the optimization of investment portfolios, finance has been one of the most important areas of application of operations research. The use of hidden Markov models (HMMs) has become one of the hottest areas of research for such applications to finance. This handbook offers systemic applications of different methodologies that have been used for decision making solutions to the financial problems of global markets. As the follow-up to the authors’ Hidden Markov Models in Finance (2007), this offers the latest research developments and applications of HMMs to finance and other related fields. Amongst the fields of quantitative finance and actuarial science that will be covered are: interest rate theory, fixed-income instruments, currency market, annuity and insurance policies with option-embedded features, investment strategies, commodity markets, energy, high-frequency trading, credit risk, numerical algorithms, financial econometrics and operational risk. Hidden Markov Models in Finance: Further Developments and Applications, Volume II presents recent applications and case studies in finance and showcases the formulation of emerging potential applications of new research over the book’s 11 chapters. This will benefit not only researchers in financial modeling, but also others in fields such as engineering, the physical sciences and social sciences. Ultimately the handbook should prove to be a valuable resource to dynamic researchers interested in taking full advantage of the power and versatility of HMMs in accurately and efficiently capturing many of the processes in the financial market.
Handbook of High-Frequency Trading and Modeling in Finance by Ionut Florescu,Maria C. Mariani,H. Eugene Stanley,Frederi G. Viens Pdf
Reflecting the fast pace and ever-evolving nature of the financial industry, the Handbook of High-Frequency Trading and Modeling in Finance details how high-frequency analysis presents new systematic approaches to implementing quantitative activities with high-frequency financial data. Introducing new and established mathematical foundations necessary to analyze realistic market models and scenarios, the handbook begins with a presentation of the dynamics and complexity of futures and derivatives markets as well as a portfolio optimization problem using quantum computers. Subsequently, the handbook addresses estimating complex model parameters using high-frequency data. Finally, the handbook focuses on the links between models used in financial markets and models used in other research areas such as geophysics, fossil records, and earthquake studies. The Handbook of High-Frequency Trading and Modeling in Finance also features: • Contributions by well-known experts within the academic, industrial, and regulatory fields • A well-structured outline on the various data analysis methodologies used to identify new trading opportunities • Newly emerging quantitative tools that address growing concerns relating to high-frequency data such as stochastic volatility and volatility tracking; stochastic jump processes for limit-order books and broader market indicators; and options markets • Practical applications using real-world data to help readers better understand the presented material The Handbook of High-Frequency Trading and Modeling in Finance is an excellent reference for professionals in the fields of business, applied statistics, econometrics, and financial engineering. The handbook is also a good supplement for graduate and MBA-level courses on quantitative finance, volatility, and financial econometrics. Ionut Florescu, PhD, is Research Associate Professor in Financial Engineering and Director of the Hanlon Financial Systems Laboratory at Stevens Institute of Technology. His research interests include stochastic volatility, stochastic partial differential equations, Monte Carlo Methods, and numerical methods for stochastic processes. Dr. Florescu is the author of Probability and Stochastic Processes, the coauthor of Handbook of Probability, and the coeditor of Handbook of Modeling High-Frequency Data in Finance, all published by Wiley. Maria C. Mariani, PhD, is Shigeko K. Chan Distinguished Professor in Mathematical Sciences and Chair of the Department of Mathematical Sciences at The University of Texas at El Paso. Her research interests include mathematical finance, applied mathematics, geophysics, nonlinear and stochastic partial differential equations and numerical methods. Dr. Mariani is the coeditor of Handbook of Modeling High-Frequency Data in Finance, also published by Wiley. H. Eugene Stanley, PhD, is William Fairfield Warren Distinguished Professor at Boston University. Stanley is one of the key founders of the new interdisciplinary field of econophysics, and has an ISI Hirsch index H=128 based on more than 1200 papers. In 2004 he was elected to the National Academy of Sciences. Frederi G. Viens, PhD, is Professor of Statistics and Mathematics and Director of the Computational Finance Program at Purdue University. He holds more than two dozen local, regional, and national awards and he travels extensively on a world-wide basis to deliver lectures on his research interests, which range from quantitative finance to climate science and agricultural economics. A Fellow of the Institute of Mathematics Statistics, Dr. Viens is the coeditor of Handbook of Modeling High-Frequency Data in Finance, also published by Wiley.
Author : Frank J. Fabozzi,Sergio M. Focardi,Petter N. Kolm Publisher : John Wiley & Sons Page : 673 pages File Size : 41,7 Mb Release : 2006-03-31 Category : Business & Economics ISBN : 9780470037690
Financial Modeling of the Equity Market by Frank J. Fabozzi,Sergio M. Focardi,Petter N. Kolm Pdf
An inside look at modern approaches to modeling equity portfolios Financial Modeling of the Equity Market is the most comprehensive, up-to-date guide to modeling equity portfolios. The book is intended for a wide range of quantitative analysts, practitioners, and students of finance. Without sacrificing mathematical rigor, it presents arguments in a concise and clear style with a wealth of real-world examples and practical simulations. This book presents all the major approaches to single-period return analysis, including modeling, estimation, and optimization issues. It covers both static and dynamic factor analysis, regime shifts, long-run modeling, and cointegration. Estimation issues, including dimensionality reduction, Bayesian estimates, the Black-Litterman model, and random coefficient models, are also covered in depth. Important advances in transaction cost measurement and modeling, robust optimization, and recent developments in optimization with higher moments are also discussed. Sergio M. Focardi (Paris, France) is a founding partner of the Paris-based consulting firm, The Intertek Group. He is a member of the editorial board of the Journal of Portfolio Management. He is also the author of numerous articles and books on financial modeling. Petter N. Kolm, PhD (New Haven, CT and New York, NY), is a graduate student in finance at the Yale School of Management and a financial consultant in New York City. Previously, he worked in the Quantitative Strategies Group of Goldman Sachs Asset Management, where he developed quantitative investment models and strategies.
Recent Research in Financial Modelling by Evert J. Stokking,Giovanni Zambruno Pdf
The book contains a selection of recently revised papers that have initiallybeen presented at two different meetings of the EURO Working Group on Financial Modelling. The papers related to the microstructure of capital markets provide evidence that the price dynamics of financial assets can on- ly be explained - and modelled - on the basis of a careful examination of the decision process which leads traders to interact and fix the equilibrium prices. The papers by Pec- cati, Luciano, Ferrari and Cornaglia belong to this catego- ry, and help considerably unterstand the performance of mar- kets which are relatively far from perfection (owing to thinness, frictions, taxation and the like). This is indeed the case for some European Exchanges. The very foundations of quantitative financial analysis have been discussed in the contributions of Luciano, Canestrelli, Uberti and Van der Meulen. The classical - although recent - advances on the pricing of derivative securities have been analyzed and applied by Kremer, Hallerbach and Jensen/Niel- son, thus demonstrating that established theories still pro- vide space for a deeper investigation. Another major topic of interest relates to empirical studies about how markets behave with respect to theoretical models. In this respect, the contributions of Viren, Bradfield and Wilkie/Pollock are quite significant. They present evidence based on real data discussed in the light of advanced stati- stical techniques. It is apparent that Corporate Finance and Capital Markets are becoming more and more related and in- teractingwith each other.
Author : Frank J. Fabozzi,Roland Fuss,Dieter G. Kaiser Publisher : John Wiley & Sons Page : 1018 pages File Size : 41,7 Mb Release : 2008-07-08 Category : Business & Economics ISBN : IND:30000122860558
The Handbook of Commodity Investing by Frank J. Fabozzi,Roland Fuss,Dieter G. Kaiser Pdf
Filled with a collection of information from experts in the commodity investment industry, this detailed guide shows readers how to successfully incorporate commodities into their portfolios. The handbook covers a range of issues, including the risk and return of commodities and diversification benefits.
Author : Frank J. Fabozzi,Roland Fuss,Dieter G. Kaiser Publisher : John Wiley & Sons Page : 986 pages File Size : 40,8 Mb Release : 2008-06-02 Category : Business & Economics ISBN : 9780470293201
The Handbook of Commodity Investing by Frank J. Fabozzi,Roland Fuss,Dieter G. Kaiser Pdf
Filled with a comprehensive collection of information from experts in the commodity investment industry, this detailed guide shows readers how to successfully incorporate commodities into their portfolios. Created with both the professional and individual investor in mind, The Handbook of Commodity Investments covers a wide range of issues, including the risk and return of commodities, diversification benefits, risk management, macroeconomic determinants of commodity investments, and commodity trading advisors. Starting with the basics of commodity investments and moving to more complex topics, such as performance measurement, asset pricing, and value at risk, The Handbook of Commodity Investments is a reliable resource for anyone who needs to understand this dynamic market.