Computational Methods for Risk Management in Economics and Finance PDF Download

Author: Marina Resta
Publisher: MDPI
ISBN: 3039284983
Category : Business & Economics
Languages : en
Pages : 234

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Book Description
At present, computational methods have received considerable attention in economics and finance as an alternative to conventional analytical and numerical paradigms. This Special Issue brings together both theoretical and application-oriented contributions, with a focus on the use of computational techniques in finance and economics. Examined topics span on issues at the center of the literature debate, with an eye not only on technical and theoretical aspects but also very practical cases.

Author: Betty Simkins
Publisher: John Wiley & Sons
ISBN: 1118017129
Category : Business & Economics
Languages : en
Pages : 628

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Book Description
Thought leaders and experts offer the most current information and insights into energy finance Energy Finance and Economics offers the most up-to-date information and compelling insights into the finance and economics of energy. With contributions from today's thought leaders who are experts in various areas of energy finance and economics, the book provides an overview of the energy industry and addresses issues concerning energy finance and economics. The book focuses on a range of topics including corporate finance relevant to the oil and gas industry as well as addressing issues of unconventional, renewable, and alternative energy. A timely compendium of information and insights centering on topics related to energy finance Written by Betty and Russell Simkins, two experts on the topic of the economics of energy Covers special issues related to energy finance such as hybrid cars, energy hedging, and other timely topics In one handy resource, the editors have collected the best-thinking on energy finance.

Author: Yiu-Kuen Tse
Publisher: MDPI
ISBN: 3039216260
Category : Business & Economics
Languages : en
Pages : 136

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Book Description
Financial econometrics has developed into a very fruitful and vibrant research area in the last two decades. The availability of good data promotes research in this area, specially aided by online data and high-frequency data. These two characteristics of financial data also create challenges for researchers that are different from classical macro-econometric and micro-econometric problems. This Special Issue is dedicated to research topics that are relevant for analyzing financial data. We have gathered six articles under this theme.

Author: Cheng-Few Lee
Publisher: Springer Science & Business Media
ISBN: 0387771174
Category : Business & Economics
Languages : en
Pages : 1700

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Book Description
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.

Author: Simon Grima
Publisher: Emerald Group Publishing
ISBN: 1839096063
Category : Business & Economics
Languages : en
Pages : 232

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Book Description
Contemporary Studies in Economic and Financial Analysis (CSEF 104) dedicates 16 chapters in articles and studies on Contemporary Issues of Business Economics and Finance. Authors contributed from the International Applied Social Science Congress, held in Turkey.

Author: Yacine Ait-Sahalia
Publisher: Elsevier
ISBN: 0080929842
Category : Business & Economics
Languages : en
Pages : 809

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Book Description
This collection of original articles—8 years in the making—shines a bright light on recent advances in financial econometrics. From a survey of mathematical and statistical tools for understanding nonlinear Markov processes to an exploration of the time-series evolution of the risk-return tradeoff for stock market investment, noted scholars Yacine Aït-Sahalia and Lars Peter Hansen benchmark the current state of knowledge while contributors build a framework for its growth. Whether in the presence of statistical uncertainty or the proven advantages and limitations of value at risk models, readers will discover that they can set few constraints on the value of this long-awaited volume. - Presents a broad survey of current research—from local characterizations of the Markov process dynamics to financial market trading activity - Contributors include Nobel Laureate Robert Engle and leading econometricians - Offers a clarity of method and explanation unavailable in other financial econometrics collections

Author: John Y. Campbell
Publisher: Princeton University Press
ISBN: 1400830214
Category : Business & Economics
Languages : en
Pages : 630

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Book Description
The past twenty years have seen an extraordinary growth in the use of quantitative methods in financial markets. Finance professionals now routinely use sophisticated statistical techniques in portfolio management, proprietary trading, risk management, financial consulting, and securities regulation. This graduate-level textbook is intended for PhD students, advanced MBA students, and industry professionals interested in the econometrics of financial modeling. The book covers the entire spectrum of empirical finance, including: the predictability of asset returns, tests of the Random Walk Hypothesis, the microstructure of securities markets, event analysis, the Capital Asset Pricing Model and the Arbitrage Pricing Theory, the term structure of interest rates, dynamic models of economic equilibrium, and nonlinear financial models such as ARCH, neural networks, statistical fractals, and chaos theory. Each chapter develops statistical techniques within the context of a particular financial application. This exciting new text contains a unique and accessible combination of theory and practice, bringing state-of-the-art statistical techniques to the forefront of financial applications. Each chapter also includes a discussion of recent empirical evidence, for example, the rejection of the Random Walk Hypothesis, as well as problems designed to help readers incorporate what they have read into their own applications.

Author: Svetlozar T. Rachev
Publisher: John Wiley & Sons
ISBN: 0470121521
Category : Business & Economics
Languages : en
Pages : 560

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Book Description
A comprehensive guide to financial econometrics Financial econometrics is a quest for models that describe financial time series such as prices, returns, interest rates, and exchange rates. In Financial Econometrics, readers will be introduced to this growing discipline and the concepts and theories associated with it, including background material on probability theory and statistics. The experienced author team uses real-world data where possible and brings in the results of published research provided by investment banking firms and journals. Financial Econometrics clearly explains the techniques presented and provides illustrative examples for the topics discussed. Svetlozar T. Rachev, PhD (Karlsruhe, Germany) is currently Chair-Professor at the University of Karlsruhe. Stefan Mittnik, PhD (Munich, Germany) is Professor of Financial Econometrics at the University of Munich. Frank J. Fabozzi, PhD, CFA, CFP (New Hope, PA) is an adjunct professor of Finance at Yale University’s School of Management. Sergio M. Focardi (Paris, France) is a founding partner of the Paris-based consulting firm The Intertek Group. Teo Jasic, PhD, (Frankfurt, Germany) is a senior manager with a leading international management consultancy firm in Frankfurt.

Author: Chia-Lin Chang
Publisher: MDPI
ISBN: 3039360949
Category : Business & Economics
Languages : en
Pages : 246

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Book Description
This book is a collection of high-impact papers accepted and presented at the 2019 Vietnam’s Business and Economics Research Conference (VBER2019) organised by Ho Chi Minh City Open University held on 18th–20th July 2019. The Special Issue is associated with a broad coverage of the contemporary issues in Business and Economics in Vietnam and other emerging markets reflecting a key theme of VBER2019: Vietnam’s Place in the Asia Pacific Region. A total of 14 papers were published from more than the 120 submissions to the VBER2019 Conference. Published papers had been undergone a rigorous reviewing process conducted by the Journal of Risk and Financial Management. The papers incorporated in this book address contemporary issues in business and economics from Vietnam and other emerging markets in the Asian region from various angles such as economics, finance, and statistics to management science. At the time of writing this note, some of the papers have attracted more than 1000 downloads in 3 months. In particular, a paper on “Foreign Direct Investment and Economic Growth from Developing Countries in the Short Run and Long Run” by Trang Thi-Huyen Dinh and her team has attracted almost 6000 downloads in 3 months. These statistics indicate that the papers published in this Special Issue have attracted the wide interest of readers. Among these 14 published papers, three main areas of important contemporary issues in Business and Economics in the Asian region can be identified. First, a block of papers deals with various important and fundamental issues in the emerging markets the Asian region, from exchange rate regime, financial inclusion, and financial development to energy consumption and environmental degradation. On the issue of CO2 emissions, energy consumption and economic growth in the ASEAN, Vo, Vo, and Le utilized various time series econometrics approaches. Key findings from this paper indicate that there are no long-run relationships among carbon dioxide (CO2) emissions, energy consumption, renewable energy, population growth, and economic growth in the Philippines and Thailand, but a relationship does exist in Indonesia, Myanmar, and Malaysia. Loo, in his paper on financial inclusion for the ASEAN, concluded that advancing internet capability and availability present investors an opportunity to offer financial technology or Fintech to meet the need for financial services in this digital era. Second, a challenge in quantitative studies for a single country, such as Vietnam, with limited data is generally noted. However, various empirical studies on Vietnam’s business and economics issues have been conducted. Nguyen, Quan, and Pham examined the cultural distance and entry mode of foreign direct investment in Vietnam. A key finding from their paper is that when there is a great cultural difference between Vietnam and their home country, foreign-invested firms prefer wholly owned subsidiaries over equity joint ventures. Within the Vietnamese market, Pham, Vo, Ho, and McAleer conducted a study on the issue of corporate financial distress. The authors conclude that the corporate financial distress prediction model, which includes accounting factors with macroeconomic indicators, performs much better than alternative models. In addition, the evidence confirms that the global financial crisis (GFC) had a damaging impact on each sector, with the Health & Education sector demonstrating the most impressive recovery post-GFC, and the utilities sector recording a dramatic increase in bankruptcies post-GFC. At another extreme of the spectrum, Van and Nguyen considered that competitive context, social influences, the understanding of managers about corporate social responsibility (CSR), and the internal environment of companies are the four drivers of CSR. The authors also argued that in the four drivers, competitive context has the strongest impact on adopting CSR. Third, last but not least, various papers focus on an important aspect of public finance. For an example, Pham, Pham, and Ly documented the effect of double taxation treaties on the bilateral trade of Vietnam with ASEAN member states, thereby making an extensive comparison with its EU partner countries. Their findings indicate the significant contributions of the tax treaties to Vietnam’s trade performance, not exclusively with ASEAN but also with EU partner countries. In addition, regarding public finance for Vietnam, Nguyen, Vo, Ho, and Vo investigated the contribution of fiscal decentralisation to economic growth across provinces in Vietnam. For the first time in Vietnam, the fiscal decentralisation index together its two subcomponents, including fiscal importance and fiscal autonomy, are developed. Findings from this paper indicate that while fiscal importance and an overall level of fiscal decentralisation have provided negative impact on provincial economic growth, fiscal autonomy has a positive impact on economic growth across provinces in Vietnam.

Author: Jon Danielsson
Publisher: John Wiley & Sons
ISBN: 1119977118
Category : Business & Economics
Languages : en
Pages : 307

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Book Description
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.