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Since the US stock market crashed on October 19, 1987, many studies have been conducted to learn from this experience in the hopes of avoiding a similarly adverse future fall. The book, originally published as a special issue of the Journal of Financial Services Research, considers some of the important policy adjustments that have been implemented in the wake of the 1987 crash. Taken separately and together, these five papers offer a synthesis and summary of the most important policy innovations that have evolved since the largest single-day decline in stock market history.
Increased competition in the global marketplace has created enormous pressure on system implementation, particularly in the field of marketing. Systems Thinking and Process Dynamics for Marketing Systems: Technologies and Applications for Decision Management describes a holistic approach to monitoring, evaluating, and applying appropriate marketing strategies, and understanding the competition and its future implication on the business of a company. As complexities multiply, the scientific concept of systems thinking and analyzing process dynamics explained in this publication allows marketing firms succeed. The critical issues facing firms today are presented in a thoroughly modern context, laying the foundation for a bright future.
For the first time since the Great Depression, financial market issues threatened to derail global economic growth. This global financial crisis forced a reconsideration of systemic vulnerabilities with knowledge of numerous investment options and portfolio management strategies becoming more critical than ever before. A complete study of investment choices and portfolio management approaches in both the developing and developed worlds is required to achieve stability and sustainability. The Handbook of Research on Stock Market Investment Practices and Portfolio Management gives a thorough view on the recent developments in investment options and portfolio management strategies in global stock markets. Learning about the many investment options and portfolio management strategies available in the event of a worldwide catastrophe is critical. Covering topics such as AI-based technical analysis, marketing theory, and sharing economy, this major reference work is an excellent resource for investors, traders, economists, business leaders and executives, marketers, students and faculty of higher education, librarians, researchers, and academicians.
A hands-on guide to navigating the new fuel markets Fuel Hedging and Risk Management: Strategies for Airlines, Shippers and Other Consumers provides a clear and practical understanding of commodity price dynamics, key fuel hedging techniques, and risk management strategies for the corporate fuel consumer. It covers the commodity markets and derivative instruments in a manner accessible to corporate treasurers, financial officers, risk managers, commodity traders, structurers, as well as quantitative professionals dealing in the energy markets. The book includes a wide variety of key topics related to commodities and derivatives markets, financial risk analysis of commodity consumers, hedge program design and implementation, vanilla derivatives and exotic hedging products. The book is unique in providing intuitive guidance on understanding the dynamics of forward curves and volatility term structure for commodities, fuel derivatives valuation and counterparty risk concepts such as CVA, DVA and FVA. Fully up-to-date and relevant, this book includes comprehensive case studies that illustrate the hedging process from conception to execution and monitoring of hedges in diverse situations. This practical guide will help the reader: Gain expert insight into all aspects of fuel hedging, price and volatility drivers and dynamics. Develop a framework for financial risk analysis and hedge programs. Navigate volatile energy markets by employing effective risk management techniques. Manage unwanted risks associated with commodity derivatives by understanding liquidity and credit risk calculations, exposure optimization techniques, credit charges such as CVA, DVA, FVA, etc.
intense competition on banks and other financial institutions, as a period of oligopoly ends: more rather than less innovation is needed to help share undi versifiable risks, with more attention to correlations between different risks. Charles Goodhart of the London School of Economics (LSE), while ques tioning the idea that volatility has increased, concludes that structural changes have made regulation more problematic and calls for improved information availability on derivatives transactions. In a thirteen country case study of the bond market turbulence of 1994, Bo rio and McCauley of the BIS pin the primary causes of the market decline on the market's own dynamics rather than on variations in market participants' apprehensions about economic fundamentals. Colm Kearney of the Univer sity of Western Sydney, after a six country study of volatility in economic and financial variables, concludes that more international collaboration in man aging financial volatility (other than in foreign exchange markets) is needed in Europe. Finally, Stokman and Vlaar of the Dutch central bank investigate the empirical evidence for the interaction between volatility and international transactions in real and financial assets for the Netherlands, concluding that such influence depends on the chosen volatility measure. The authors sug gest that there are no strong arguments for international restrictions to reduce volatility. INSTITUTIONAL ISSUES AND PRACTICES The six papers in Part C focus on what market participants are doing to manage risk.
A top risk management practitioner addresses the essential aspects of modern financial risk management In the Second Edition of Financial Risk Management + Website, market risk expert Steve Allen offers an insider's view of this discipline and covers the strategies, principles, and measurement techniques necessary to manage and measure financial risk. Fully revised to reflect today's dynamic environment and the lessons to be learned from the 2008 global financial crisis, this reliable resource provides a comprehensive overview of the entire field of risk management. Allen explores real-world issues such as proper mark-to-market valuation of trading positions and determination of needed reserves against valuation uncertainty, the structuring of limits to control risk taking, and a review of mathematical models and how they can contribute to risk control. Along the way, he shares valuable lessons that will help to develop an intuitive feel for market risk measurement and reporting. Presents key insights on how risks can be isolated, quantified, and managed from a top risk management practitioner Offers up-to-date examples of managing market and credit risk Provides an overview and comparison of the various derivative instruments and their use in risk hedging Companion Website contains supplementary materials that allow you to continue to learn in a hands-on fashion long after closing the book Focusing on the management of those risks that can be successfully quantified, the Second Edition of Financial Risk Management + Websiteis the definitive source for managing market and credit risk.
A thoughtful presentation of options trading and pricing which discusses the impact of volatility in the process Trading Options in Turbulent Markets reveals how volatility in options trading relates to today's stormy marketplace and shows you how to manage risk and take advantage of market volatility when investing in derivatives. In this book, options expert Larry Shover skillfully addresses how to use historical volatility to predict future volatility for a security, or the implied volatility, and offers suggestions for dealing with that odd feature of options trading known as skew. Trading Options in Turbulent Markets also looks at specific options trading strategies that help you offset risk and reach for profit. These include the covered call, the naked and the married puts, collars, straddles, vertical spreads, calendar spreads, butterflies, condors, and more. Contains proven tools for evaluating options trading decisions, including the greeks: delta, vega, theta, and gamma Outlines effective strategies for trading options contracts in uncertain times Offers insights on the risk/reward situations all traders in this field face Filled with in-depth insights and practical advice, this important resource explores how to turn turbulent markets into profitable opportunities, and discusses why options are the best tool to use in such a difficult endeavor.
A one-of-a-kind reference guide covering the behavioral and statistical explanations for market momentum and the implementation of momentum trading strategies Market Momentum: Theory and Practice is a thorough, how-to reference guide for a full range of financial professionals and students. It examines the behavioral and statistical causes of market momentum while also exploring the practical side of implementing related strategies. The phenomenon of momentum in finance occurs when past high returns are followed by subsequent high returns, and past low returns are followed by subsequent low returns. Market Momentum provides a detailed introduction to the financial topic, while examining existing literature. Recent academic and practitioner research is included, offering a more up-to-date perspective. What type of book is Market Momentum and how does it serve a range of readers’ interests and needs? A holistic market momentum guide for industry professionals, asset managers, risk managers, firm managers, plus hedge fund and commodity trading advisors Advanced text to help graduate students in finance, economics, and mathematics further develop their funds management skills Useful resource for financial practitioners who want to implement momentum trading strategies Reference book providing behavioral and statistical explanations for market momentum Due to claims that the phenomenon of momentum goes against the Efficient Markets Hypothesis, behavioral economists have studied the topic in-depth. However, many books published on the subject are written to provide advice on how to make money. In contrast, Market Momentum offers a comprehensive approach to the topic, which makes it a valuable resource for both investment professionals and higher-level finance students. The contributors address momentum theory and practice, while also offering trading strategies that practitioners can study.
This publication aims to fill the void between books providing an introduction to derivatives, and advanced books whose target audience are members of quantitative modelling community. In order to appeal to the widest audience, this publication tries to assume the least amount of prior knowledge. The content quickly moves onto more advanced subjects in order to concentrate on more practical and advanced topics. "A master piece to learn in a nutshell all the essentials about volatility with a practical and lively approach. A must read!" Carole Bernard, Equity Derivatives Specialist at Bloomberg "This book could be seen as the 'volatility bible'!" Markus-Alexander Flesch, Head of Sales & Marketing at Eurex "I highly recommend this book both for those new to the equity derivatives business, and for more advanced readers. The balance between theory and practice is struck At-The-Money" Paul Stephens, Head of Institutional Marketing at CBOE "One of the best resources out there for the volatility community" Paul Britton, CEO and Founder of Capstone Investment Advisors "Colin has managed to convey often complex derivative and volatility concepts with an admirable simplicity, a welcome change from the all-too-dense tomes one usually finds on the subject" Edmund Shing PhD, former Proprietary Trader at BNP Paribas "In a crowded space, Colin has supplied a useful and concise guide" Gary Delany, Director Europe at the Options Industry Council
This book introduces machine learning in finance and illustrates how we can use computational tools in numerical finance in real-world context. These computational techniques are particularly useful in financial risk management, corporate bankruptcy prediction, stock price prediction, and portfolio management. The book also offers practical and managerial implications of financial and managerial decision support systems and how these systems capture vast amount of financial data. Business risk and uncertainty are two of the toughest challenges in the financial industry. This book will be a useful guide to the use of machine learning in forecasting, modeling, trading, risk management, economics, credit risk, and portfolio management.