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Praise for How I Became a Quant "Led by two top-notch quants, Richard R. Lindsey and Barry Schachter, How I Became a Quant details the quirky world of quantitative analysis through stories told by some of today's most successful quants. For anyone who might have thought otherwise, there are engaging personalities behind all that number crunching!" --Ira Kawaller, Kawaller & Co. and the Kawaller Fund "A fun and fascinating read. This book tells the story of how academics, physicists, mathematicians, and other scientists became professional investors managing billions." --David A. Krell, President and CEO, International Securities Exchange "How I Became a Quant should be must reading for all students with a quantitative aptitude. It provides fascinating examples of the dynamic career opportunities potentially open to anyone with the skills and passion for quantitative analysis." --Roy D. Henriksson, Chief Investment Officer, Advanced Portfolio Management "Quants"--those who design and implement mathematical models for the pricing of derivatives, assessment of risk, or prediction of market movements--are the backbone of today's investment industry. As the greater volatility of current financial markets has driven investors to seek shelter from increasing uncertainty, the quant revolution has given people the opportunity to avoid unwanted financial risk by literally trading it away, or more specifically, paying someone else to take on the unwanted risk. How I Became a Quant reveals the faces behind the quant revolution, offering you?the?chance to learn firsthand what it's like to be a?quant today. In this fascinating collection of Wall Street war stories, more than two dozen quants detail their roots, roles, and contributions, explaining what they do and how they do it, as well as outlining the sometimes unexpected paths they have followed from the halls of academia to the front lines of an investment revolution.
Economist Mann and scholars of international studies and electronic commerce offer both general analysis and specific examples of government policies to promote international electronic commerce for the greatest gain. They consider telecommunications, finance, domestic distribution, taxation, privacy, and international trade. Annotation copyrighted by Book News, Inc., Portland, OR
This book proposes a new, pragmatic way of approaching economic development which features policy learning based on a comparison of international best policy practices. While the important role of government in promoting private sector development is being recognized, policy discussion often remains general without details as to what exactly to do and how to avoid common pitfalls. This book fills the gap by showing concrete policy contents, procedures, and organizations adopted in high-performing East Asian economies. Natural resources and foreign aid and investment can take a country to a certain income level, but growth stalls when given advantages are exhausted. Economies will be caught in middle income traps if growth impetus is not internally generated. Meanwhile, countries that have soared to high income introduced mindset, policies, and institutions that encouraged, or even forced, accumulation of human capital – skills, technology, and knowledge. How this can be done systematically is the main topic of policy learning. However, government should not randomly adopt what Singapore or Taiwan did in the past. A continued march to prosperity is possible only when policy makers acquire capability to formulate policy suitable for local context after studying a number of international experiences. Developing countries wanting to adopt effective industrial strategies but not knowing where to start will benefit greatly by the ideas and hands-on examples presented by the author. Students of development economics will find a new methodological perspective which can supplement the ongoing industrial policy debate. The book also gives an excellent account of national pride and pragmatism exhibited by officials in East Asia who produced remarkable economic growth, as well as serious effort by an African country to emulate this miracle. The Open Access version of this book, available at http://www.taylorfrancis.com/doi/view/10.4324/9780203085530 has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license.
The achievements and biographical details of nearly 1,500 key researchers and practitioners in the fields of computational mechanics, applied mathematics, computer science, artificial intelligence, aerospace, aeronautical, chemical, civil, environmental, mechanical, and structural engineering are included in this directory.
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.
Identifies ten potential dangers to the global market system, providing examples of companies that are thriving and describing how a businesses must develop corporate strategies that are innovative and strenghten institutions at community, national, and international levels.