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columbia financial engineering acceptance rate: Peterson's Graduate Programs in Management of Engineering & Technology, Materials Sciences & Engineering, and Mechanical Engineering & Mechanics 2011 Peterson's, 2011-05-01 Peterson's Graduate Programs in Management of Engineering & Technology, Materials Sciences & Engineering, and Mechanical Engineering & Mechanics contains a wealth of information on colleges and universities that offer graduate work these exciting fields. The institutions listed include those in the United States and Canada, as well as international institutions that are accredited by U.S. accrediting bodies. Up-to-date information, collected through Peterson's Annual Survey of Graduate and Professional Institutions, provides valuable information on degree offerings, professional accreditation, jointly offered degrees, part-time and evening/weekend programs, postbaccalaureate distance degrees, faculty, students, degree requirements, entrance requirements, expenses, financial support, faculty research, and unit head and application contact information. Readers will find helpful links to in-depth descriptions that offer additional detailed information about a specific program or department, faculty members and their research, and much more. In addition, there are valuable articles on financial assistance, the graduate admissions process, advice for international and minority students, and facts about accreditation, with a current list of accrediting agencies. |
columbia financial engineering acceptance rate: FX Options and Structured Products Uwe Wystup, 2017-06-30 Advanced Guidance to Excelling in the FX Market Once you have a textbook understanding of money market and foreign exchange products, turn to FX Options and Structured Products, Second Edition, for the beyond-vanilla options strategies and traded deals proven superior in today’s post-credit crisis trading environment. With the thoroughness and balance of theory and practice only Uwe Wystup can deliver, this fully revised edition offers authoritative solutions for the real world in an easy-to-access format. See how specific products actually work through detailed case studies featuring clear examples of FX options, common structures and custom solutions. This complete resource is both a wellspring of ideas and a hands-on guide to structuring and executing your own strategies. Distinguish yourself with a valued skillset by: Working through practical and thought-provoking challenges in more than six dozen exercises, all with complete solutions in a companion volume Gaining a working knowledge of the latest, most popular products, including accumulators, kikos, target forwards and more Getting close to the everyday realities of the FX derivatives market through new, illuminating case studies for corporates, municipalities and private banking FX Options and Structured Products, Second Edition is your go-to road map to the exotic options in FX derivatives. |
columbia financial engineering acceptance rate: Handbook of the Economics of Finance G. Constantinides, Rene M. Stulz, M. Harris, 2003-11-04 Volume 1B covers the economics of financial markets: the saving and investment decisions; the valuation of equities, derivatives, and fixed income securities; and market microstructure. |
columbia financial engineering acceptance rate: The Handbook of Equity Derivatives Jack Clark Francis, William W. Toy, J. Gregg Whittaker, 1999-11-08 Aktienderivate gehören zu den populärsten Derivatprodukten, die von institutionellen Anlegern gehandelt werden. Ein Aktienderivat ist ein Future oder eine Option auf Aktien oder Aktienindices. Zu den traditionellen Aktienderivaten gehören Optionsscheine, Optionen, Futures und Aktienindexfutures. Das Handbook of Equity ist eine vollständige und umfassende Überarbeitung des ersten und einzigen Buches zu diesem Thema. Herausgegeben von führenden Köpfen der Branche - darunter Nobelpreisträger Fischer Black, John Braddock und Mark Rubenstein - enthält es wichtige neue Informationen zu Aktienindexfutures und -optionen und erweitert die mathematische Diskussion um das Black & Scholes-Modell. (11/99) |
columbia financial engineering acceptance rate: Financial Derivatives Jamil Baz, George Chacko, 2004-01-12 Publisher Description |
columbia financial engineering acceptance rate: Credit Risk Frontiers Tomasz Bielecki, Damiano Brigo, Frederic Patras, 2011-02-08 A timely guide to understanding and implementing credit derivatives Credit derivatives are here to stay and will continue to play a role in finance in the future. But what will that role be? What issues and challenges should be addressed? And what lessons can be learned from the credit mess? Credit Risk Frontiers offers answers to these and other questions by presenting the latest research in this field and addressing important issues exposed by the financial crisis. It covers this subject from a real world perspective, tackling issues such as liquidity, poor data, and credit spreads, as well as the latest innovations in portfolio products and hedging and risk management techniques. Provides a coherent presentation of recent advances in the theory and practice of credit derivatives Takes into account the new products and risk requirements of a post financial crisis world Contains information regarding various aspects of the credit derivative market as well as cutting edge research regarding those aspects If you want to gain a better understanding of how credit derivatives can help your trading or investing endeavors, then Credit Risk Frontiers is a book you need to read. |
columbia financial engineering acceptance rate: HOW TO CONDUCT FEASIBILITY STUDIES , This is an Introductory chapter on the use of the Engineering Finance methodology used ''To Conduct Feasibility Studies'' to enhance the ROI and ensure the long-term sustainability of projects |
columbia financial engineering acceptance rate: Probability and Finance Theory Kian Guan Lim, 2011 This book provides a basic grounding in the use of probability to model random financial phenomena of uncertainty, and is targeted at an advanced undergraduate and graduate level. It should appeal to finance students looking for a firm theoretical guide to the deep end of derivatives and investments. Bankers and finance professionals in the fields of investments, derivatives, and risk management should also find the book useful in bringing probability and finance together. The book contains applications of both discrete time theory and continuous time mathematics, and is extensive in scope. Distribution theory, conditional probability, and conditional expectation are covered comprehensively, and applications to modeling state space securities under market equilibrium are made. Martingale is studied, leading to consideration of equivalent martingale measures, fundamental theorems of asset pricing, change of numeraire and discounting, risk-adjusted and forward-neutral measures, minimal and maximal prices of contingent claims, Markovian models, and the existence of martingale measures preserving the Markov property. Discrete stochastic calculus and multiperiod models leading to no-arbitrage pricing of contingent claims are also to be found in this book, as well as the theory of Markov Chains and appropriate applications in credit modeling. Measure-theoretic probability, moments, characteristic functions, inequalities, and central limit theorems are examined. The theory of risk aversion and utility, and ideas of risk premia are considered. Other application topics include optimal consumption and investment problems and interest rate theory. |
columbia financial engineering acceptance rate: Probability And Finance Theory (Second Edition) Kian Guan Lim, 2015-09-29 This book is an introduction to the mathematical analysis of probability theory and provides some understanding of how probability is used to model random phenomena of uncertainty, specifically in the context of finance theory and applications. The integrated coverage of both basic probability theory and finance theory makes this book useful reading for advanced undergraduate students or for first-year postgraduate students in a quantitative finance course.The book provides easy and quick access to the field of theoretical finance by linking the study of applied probability and its applications to finance theory all in one place. The coverage is carefully selected to include most of the key ideas in finance in the last 50 years.The book will also serve as a handy guide for applied mathematicians and probabilists to easily access the important topics in finance theory and economics. In addition, it will also be a handy book for financial economists to learn some of the more mathematical and rigorous techniques so their understanding of theory is more rigorous. It is a must read for advanced undergraduate and graduate students who wish to work in the quantitative finance area. |
columbia financial engineering acceptance rate: Handbook of Financial Engineering Constantin Zopounidis, Michael Doumpos, Panos M. Pardalos, 2010-07-25 This comprehensive handbook discusses the most recent advances within the field of financial engineering, focusing not only on the description of the existing areas in financial engineering research, but also on the new methodologies that have been developed for modeling and addressing financial engineering problems. The book is intended for financial engineers, researchers, applied mathematicians, and graduate students interested in real-world applications to financial engineering. |
columbia financial engineering acceptance rate: The Routledge Companion to Financial Services Marketing Tina Harrison, Hooman Estelami, 2014-12-05 Interest in Financial Services Marketing has grown hugely over the last few decades, particularly since the financial crisis, which scarred the industry and its relationship with customers. It reflects the importance of the financial services industry to the economies of every nation and the realisation that the consumption and marketing of financial services differs from that of tangible goods and indeed many other intangible services. This book is therefore a timely and much needed comprehensive compendium that reflects the development and maturation of the research domain, and pulls together, in a single volume, the current state of thinking and debate. The events associated with the financial crisis have highlighted that there is a need for banks and other financial institutions to understand how to rebuild trust and confidence, improve relationships and derive value from the marketing process. Edited by an international team of experts, this book will provide the latest thinking on how to manage such challenges and will be vital reading for students and lecturers in financial services marketing, policy makers and practitioners. |
columbia financial engineering acceptance rate: Monte Carlo Methods in Financial Engineering Paul Glasserman, 2013-03-09 From the reviews: Paul Glasserman has written an astonishingly good book that bridges financial engineering and the Monte Carlo method. The book will appeal to graduate students, researchers, and most of all, practicing financial engineers [...] So often, financial engineering texts are very theoretical. This book is not. --Glyn Holton, Contingency Analysis |
columbia financial engineering acceptance rate: How I Became a Quant Richard R. Lindsey, Barry Schachter, 2011-01-11 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. |
columbia financial engineering acceptance rate: Financial Valuation And Econometrics (2nd Edition) Kian Guan Lim, 2015-04-15 This book is an introduction to financial valuation and financial data analyses using econometric methods. It is intended for advanced finance undergraduates and graduates. Most chapters in the book would contain one or more finance application examples where finance concepts, and sometimes theory, are taught.This book is a modest attempt to bring together several important domains in financial valuation theory, in econometrics modelling, and in the empirical analyses of financial data. These domains are highly intertwined and should be properly understood in order to correctly and effectively harness the power of data and statistical or econometrics methods for investment and financial decision-making.The contribution in this book, and at the same time, its novelty, is in employing materials in basic econometrics, particularly linear regression analyses, and weaving into it threads of foundational finance theory, concepts, ideas, and models. It provides a clear pedagogical approach to allow very effective learning by a finance student who wants to be well equipped in both theory and ability to research the data.This is a handy book for finance professionals doing research to easily access the key techniques in data analyses using regression methods. Students learn all 3 skills at once — finance, econometrics, and data analyses. It provides for very solid and useful learning for advanced undergraduate and graduate students who wish to work in financial analyses, risk analyses, and financial research areas. |
columbia financial engineering acceptance rate: Financial Engineering, E-commerce and Supply Chain Panos M. Pardalos, Vassilis Tsitsiringos, 2013-06-29 One of the fast growing elements of the Internet is electronic commerce, which refers to the use of electronic means to conduct business transactions within or across business entities. Nearly 80 percent of all Fortune 500 companies have been doing their core business through the Internet. Many issues, and societal implications of electronic commerce, are the subjects of recent research. A supply chain consists of all the entities and activities that enable the production, distribution, and delivery of products and services to consumers. Research in designing and managing supply chains has rapidly expanded during the last decade. In addition, increased and accessible computing power and modeling capabilities have spurred this growth, enabling researchers to simultaneously consider the many interrelated variables and decisions of a supply chain in a single tractable model. |
columbia financial engineering acceptance rate: The Volatility Smile Emanuel Derman, Michael B. Miller, 2016-09-06 The Volatility Smile The Black-Scholes-Merton option model was the greatest innovation of 20th century finance, and remains the most widely applied theory in all of finance. Despite this success, the model is fundamentally at odds with the observed behavior of option markets: a graph of implied volatilities against strike will typically display a curve or skew, which practitioners refer to as the smile, and which the model cannot explain. Option valuation is not a solved problem, and the past forty years have witnessed an abundance of new models that try to reconcile theory with markets. The Volatility Smile presents a unified treatment of the Black-Scholes-Merton model and the more advanced models that have replaced it. It is also a book about the principles of financial valuation and how to apply them. Celebrated author and quant Emanuel Derman and Michael B. Miller explain not just the mathematics but the ideas behind the models. By examining the foundations, the implementation, and the pros and cons of various models, and by carefully exploring their derivations and their assumptions, readers will learn not only how to handle the volatility smile but how to evaluate and build their own financial models. Topics covered include: The principles of valuation Static and dynamic replication The Black-Scholes-Merton model Hedging strategies Transaction costs The behavior of the volatility smile Implied distributions Local volatility models Stochastic volatility models Jump-diffusion models The first half of the book, Chapters 1 through 13, can serve as a standalone textbook for a course on option valuation and the Black-Scholes-Merton model, presenting the principles of financial modeling, several derivations of the model, and a detailed discussion of how it is used in practice. The second half focuses on the behavior of the volatility smile, and, in conjunction with the first half, can be used for as the basis for a more advanced course. |
columbia financial engineering acceptance rate: Financial Data Analytics with Machine Learning, Optimization and Statistics Sam Chen, Ka Chun Cheung, Phillip Yam, 2024-10-21 An essential introduction to data analytics and Machine Learning techniques in the business sector In Financial Data Analytics with Machine Learning, Optimization and Statistics, a team consisting of a distinguished applied mathematician and statistician, experienced actuarial professionals and working data analysts delivers an expertly balanced combination of traditional financial statistics, effective machine learning tools, and mathematics. The book focuses on contemporary techniques used for data analytics in the financial sector and the insurance industry with an emphasis on mathematical understanding and statistical principles and connects them with common and practical financial problems. Each chapter is equipped with derivations and proofs—especially of key results—and includes several realistic examples which stem from common financial contexts. The computer algorithms in the book are implemented using Python and R, two of the most widely used programming languages for applied science and in academia and industry, so that readers can implement the relevant models and use the programs themselves. The book begins with a brief introduction to basic sampling theory and the fundamentals of simulation techniques, followed by a comparison between R and Python. It then discusses statistical diagnosis for financial security data and introduces some common tools in financial forensics such as Benford's Law, Zipf's Law, and anomaly detection. The statistical estimation and Expectation-Maximization (EM) & Majorization-Minimization (MM) algorithms are also covered. The book next focuses on univariate and multivariate dynamic volatility and correlation forecasting, and emphasis is placed on the celebrated Kelly's formula, followed by a brief introduction to quantitative risk management and dependence modelling for extremal events. A practical topic on numerical finance for traditional option pricing and Greek computations immediately follows as well as other important topics in financial data-driven aspects, such as Principal Component Analysis (PCA) and recommender systems with their applications, as well as advanced regression learners such as kernel regression and logistic regression, with discussions on model assessment methods such as simple Receiver Operating Characteristic (ROC) curves and Area Under Curve (AUC) for typical classification problems. The book then moves on to other commonly used machine learning tools like linear classifiers such as perceptrons and their generalization, the multilayered counterpart (MLP), Support Vector Machines (SVM), as well as Classification and Regression Trees (CART) and Random Forests. Subsequent chapters focus on linear Bayesian learning, including well-received credibility theory in actuarial science and functional kernel regression, and non-linear Bayesian learning, such as the Naïve Bayes classifier and the Comonotone-Independence Bayesian Classifier (CIBer) recently independently developed by the authors and used successfully in InsurTech. After an in-depth discussion on cluster analyses such as K-means clustering and its inversion, the K-nearest neighbor (KNN) method, the book concludes by introducing some useful deep neural networks for FinTech, like the potential use of the Long-Short Term Memory model (LSTM) for stock price prediction. This book can help readers become well-equipped with the following skills: To evaluate financial and insurance data quality, and use the distilled knowledge obtained from the data after applying data analytic tools to make timely financial decisions To apply effective data dimension reduction tools to enhance supervised learning To describe and select suitable data analytic tools as introduced above for a given dataset depending upon classification or regression prediction purpose The book covers the competencies tested by several professional examinations, such as the Predictive Analytics Exam offered by the Society of Actuaries, and the Institute and Faculty of Actuaries' Actuarial Statistics Exam. Besides being an indispensable resource for senior undergraduate and graduate students taking courses in financial engineering, statistics, quantitative finance, risk management, actuarial science, data science, and mathematics for AI, Financial Data Analytics with Machine Learning, Optimization and Statistics also belongs in the libraries of aspiring and practicing quantitative analysts working in commercial and investment banking. |
columbia financial engineering acceptance rate: Engineering , 1897 |
columbia financial engineering acceptance rate: Complete Book of Distance Learning Schools Jerry Thomas Ice, Paul Jay Edelson, Princeton Review (Firm), 2001 There are currently over one million students enrolled in distance learning programs, and that number is likely to triple in the next three years. This new guide will help those students pick the right program with profiles of over 1,000 accredited distance learning schools in the U.S.-- both undergraduate and graduate. Each school profile includes information on: *Popular programs and majors *Pre-requisite courses and degrees *Which admission tests are required *Tuition and financial aid *Addresses, telephone numbers and Web sites *Transfer credits *GPA requirements Contents: I Why Distance Learning? II What Is Distance Education? III How to Select a Program and School IV Admissions V Financing Your Education VI The Corporate Connection VII The Student Perspective VIII The Faculty IX Some Final Thoughts X Distance Learning Survey -- Undergraduate Programs XI Distance Learning Survey -- Graduate Programs XII Indexes |
columbia financial engineering acceptance rate: Peterson's Graduate Programs in Engineering & Applied Sciences 2012 Peterson's, 2012-03-09 Peterson's Graduate Programs in Engineering & Applied Sciences 2012 contains a wealth of information on accredited institutions offering graduate degree programs in these fields. Up-to-date data, collected through Peterson's Annual Survey of Graduate and Professional Institutions, provides valuable information on degree offerings, professional accreditation, jointly offered degrees, part-time and evening/weekend programs, postbaccalaureate distance degrees, faculty, students, requirements, expenses, financial support, faculty research, and unit head and application contact information. There are helpful links to in-depth descriptions about a specific graduate program or department, faculty members and their research, and more. There are also valuable articles on financial assistance, the graduate admissions process, advice for international and minority students, and facts about accreditation, with a current list of accrediting agencies. |
columbia financial engineering acceptance rate: Colleges Worth Your Money Andrew Belasco, Dave Bergman, Michael Trivette, 2024-06-01 Colleges Worth Your Money: A Guide to What America's Top Schools Can Do for You is an invaluable guide for students making the crucial decision of where to attend college when our thinking about higher education is radically changing. At a time when costs are soaring and competition for admission is higher than ever, the college-bound need to know how prospective schools will benefit them both as students and after graduation. Colleges Worth Your Moneyprovides the most up-to-date, accurate, and comprehensive information for gauging the ROI of America’s top schools, including: In-depth profiles of 200 of the top colleges and universities across the U.S.; Over 75 key statistics about each school that cover unique admissions-related data points such as gender-specific acceptance rates, early decision acceptance rates, and five-year admissions trends at each college. The solid facts on career outcomes, including the school’s connections with recruiters, the rate of employment post-graduation, where students land internships, the companies most likely to hire students from a particular school, and much more. Data and commentary on each college’s merit and need-based aid awards, average student debt, and starting salary outcomes. Top Colleges for America’s Top Majors lists highlighting schools that have the best programs in 40+ disciplines. Lists of the “Top Feeder” undergraduate colleges into medical school, law school, tech, journalism, Wall Street, engineering, and more. |
columbia financial engineering acceptance rate: Financial Engineering and Computation Yuh-Dauh Lyuu, 2002 A comprehensive text and reference, first published in 2002, on the theory of financial engineering with numerous algorithms for pricing, risk management, and portfolio management. |
columbia financial engineering acceptance rate: An Introduction to Quantitative Finance Stephen Blyth, 2014 The quantitative nature of complex financial transactions makes them a fascinating subject area for mathematicians of all types. This book gives an insight into financial engineering while building on introductory probability courses by detailing one of the most fascinating applications of the subject. |
columbia financial engineering acceptance rate: Modern Pricing of Interest-Rate Derivatives Riccardo Rebonato, 2012-01-16 In recent years, interest-rate modeling has developed rapidly in terms of both practice and theory. The academic and practitioners' communities, however, have not always communicated as productively as would have been desirable. As a result, their research programs have often developed with little constructive interference. In this book, Riccardo Rebonato draws on his academic and professional experience, straddling both sides of the divide to bring together and build on what theory and trading have to offer. Rebonato begins by presenting the conceptual foundations for the application of the LIBOR market model to the pricing of interest-rate derivatives. Next he treats in great detail the calibration of this model to market prices, asking how possible and advisable it is to enforce a simultaneous fitting to several market observables. He does so with an eye not only to mathematical feasibility but also to financial justification, while devoting special scrutiny to the implications of market incompleteness. Much of the book concerns an original extension of the LIBOR market model, devised to account for implied volatility smiles. This is done by introducing a stochastic-volatility, displaced-diffusion version of the model. The emphasis again is on the financial justification and on the computational feasibility of the proposed solution to the smile problem. This book is must reading for quantitative researchers in financial houses, sophisticated practitioners in the derivatives area, and students of finance. |
columbia financial engineering acceptance rate: Rethinking the MBA Srikant Datar, David A. Garvin, Patrick G. Cullen, 2010-04-22 Business Schools Face Test of Faith. Is It Time to Retrain B-Schools? As these headlines make clear, business education is at a major crossroads. For decades, MBA graduates from top-tier schools set the standard for cutting-edge business knowledge and skills. Now the business world has changed, say the authors of Rethinking the MBA, and MBA programs must change with it. Increasingly, managers and recruiters are questioning conventional business education. Their concerns? Among other things, MBA programs aren't giving students the heightened cultural awareness and global perspectives they need. Newly minted MBAs lack essential leadership skills. Creative and critical thinking demand far more attention. In this compelling and authoritative new book, the authors: · Document a rising chorus of concerns about business schools gleaned from extensive interviews with deans and executives, and from a detailed analysis of current curricula and emerging trends in graduate business education · Provide case studies showing how leading MBA programs have begun reinventing themselves for the better · Offer concrete ideas for how business schools can surmount the challenges that come with reinvention, including securing faculty with new skills and experimenting with new pedagogies Rich with examples and thoroughly researched, Rethinking the MBA reveals why and how business schools must define a better pathway for the future. |
columbia financial engineering acceptance rate: Volatility and Correlation Riccardo Rebonato, 2005-07-08 In Volatility and Correlation 2nd edition: The Perfect Hedger and the Fox, Rebonato looks at derivatives pricing from the angle of volatility and correlation. With both practical and theoretical applications, this is a thorough update of the highly successful Volatility & Correlation – with over 80% new or fully reworked material and is a must have both for practitioners and for students. The new and updated material includes a critical examination of the ‘perfect-replication’ approach to derivatives pricing, with special attention given to exotic options; a thorough analysis of the role of quadratic variation in derivatives pricing and hedging; a discussion of the informational efficiency of markets in commonly-used calibration and hedging practices. Treatment of new models including Variance Gamma, displaced diffusion, stochastic volatility for interest-rate smiles and equity/FX options. The book is split into four parts. Part I deals with a Black world without smiles, sets out the author’s ‘philosophical’ approach and covers deterministic volatility. Part II looks at smiles in equity and FX worlds. It begins with a review of relevant empirical information about smiles, and provides coverage of local-stochastic-volatility, general-stochastic-volatility, jump-diffusion and Variance-Gamma processes. Part II concludes with an important chapter that discusses if and to what extent one can dispense with an explicit specification of a model, and can directly prescribe the dynamics of the smile surface. Part III focusses on interest rates when the volatility is deterministic. Part IV extends this setting in order to account for smiles in a financially motivated and computationally tractable manner. In this final part the author deals with CEV processes, with diffusive stochastic volatility and with Markov-chain processes. Praise for the First Edition: “In this book, Dr Rebonato brings his penetrating eye to bear on option pricing and hedging.... The book is a must-read for those who already know the basics of options and are looking for an edge in applying the more sophisticated approaches that have recently been developed.” —Professor Ian Cooper, London Business School “Volatility and correlation are at the very core of all option pricing and hedging. In this book, Riccardo Rebonato presents the subject in his characteristically elegant and simple fashion...A rare combination of intellectual insight and practical common sense.” —Anthony Neuberger, London Business School |
columbia financial engineering acceptance rate: Genius Bruce Whitfield, 2023-03-01 South Africa and its fraught political economy provide a fascinating case study into how it takes a particular brand of genius to thrive in a difficult domestic environment and to take the ideas and the businesses that deliver them from local to global. Genius tells the stories of some of the extraordinary individuals, companies and industries whose ideas, products and raw materials solve problems and add value across the globe. Greatness comes from acting on purpose, and there is a generation of South Africans solving problems for the future. Learn how Pratley beat Armstrong to the moon, how a former Eskom quantity surveyor capitalised on Britain’s obsession with meerkats to create the UK’s most visible price comparison website, how to take a Mediterranean-style food concept to the Mediterranean, and how a device designed to beat diamond smuggling made it from the set of a popular US hospital drama into emergency rooms and pathology labs across the US. Genius examines what it takes to thrive in an increasingly complex, fast-paced and divisive global environment. These are lessons for anyone looking to succeed anywhere against the odds. |
columbia financial engineering acceptance rate: My Life as a Quant Emanuel Derman, 2016-01-11 In My Life as a Quant, Emanuel Derman relives his exciting journey as one of the first high-energy particle physicists to migrate to Wall Street. Page by page, Derman details his adventures in this field—analyzing the incompatible personas of traders and quants, and discussing the dissimilar nature of knowledge in physics and finance. Throughout this tale, he also reflects on the appropriate way to apply the refined methods of physics to the hurly-burly world of markets. |
columbia financial engineering acceptance rate: Models.Behaving.Badly. Emanuel Derman, 2011-10-25 Now in paperback, “a compelling, accessible, and provocative piece of work that forces us to question many of our assumptions” (Gillian Tett, author of Fool’s Gold). Quants, physicists working on Wall Street as quantitative analysts, have been widely blamed for triggering financial crises with their complex mathematical models. Their formulas were meant to allow Wall Street to prosper without risk. But in this penetrating insider’s look at the recent economic collapse, Emanuel Derman—former head quant at Goldman Sachs—explains the collision between mathematical modeling and economics and what makes financial models so dangerous. Though such models imitate the style of physics and employ the language of mathematics, theories in physics aim for a description of reality—but in finance, models can shoot only for a very limited approximation of reality. Derman uses his firsthand experience in financial theory and practice to explain the complicated tangles that have paralyzed the economy. Models.Behaving.Badly. exposes Wall Street’s love affair with models, and shows us why nobody will ever be able to write a model that can encapsulate human behavior. |
columbia financial engineering acceptance rate: Handbooks in Operations Research and Management Science: Financial Engineering John R. Birge, Vadim Linetsky, 2007-11-16 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. |
columbia financial engineering acceptance rate: Peterson's Graduate Schools in the U.S. 2010 Peterson's, 2009 Shares overviews of nearly one thousand schools for a variety of disciplines, in a directory that lists educational institutions by state and field of study while sharing complementary information about tuition, enrollment, and faculties. |
columbia financial engineering acceptance rate: Financial Engineering Tanya S. Beder, Cara M. Marshall, 2011-05-16 FINANCIAL ENGINEERING Financial engineering is poised for a great shift in the years ahead. Everyone from investors and borrowers to regulators and legislators will need to determine what works, what doesn't, and where to go from here. Financial Engineering part of the Robert W. Kolb Series in Finance has been designed to help you do just this. Comprised of contributed chapters by distinguished experts from industry and academia, this reliable resource will help you focus on established activities in the field, developing trends and changes, as well as areas of opportunity. Divided into five comprehensive parts, Financial Engineering begins with an informative overview of the discipline, chronicling its complete history and profiling potential career paths. From here, Part II quickly moves on to discuss the evolution of financial engineering in major markets fixed income, foreign exchange, equities, commodities and credit and offers important commentary on what has worked and what will change. Part III then examines a number of recent innovative applications of financial engineering that have made news over the past decade such as the advent of securitized and structured products and highly quantitative trading strategies for both equities and fixed income. Thoughts on how risk management might be retooled to reflect what has been learned as a result of the recent financial crisis are also included. Part IV of the book is devoted entirely to case studies that present valuable lessons for active practitioners and academics. Several of the cases explore the risk that has instigated losses across multiple markets, including the global credit crisis. You'll gain in-depth insights from cases such as Countrywide, Société Générale, Barings, Long-Term Capital Management, the Florida Local Government Investment Pool, AIG, Merrill Lynch, and many more. The demand for specific and enterprise risk managers who can think outside the box will be substantial during this decade. Much of Part V presents new ways to be successful in an era that demands innovation on both sides of the balance sheet. Chapters that touch upon this essential topic include Musings About Hedging; Operational Risk; and The No-Arbitrage Condition in Financial Engineering: Its Use and Mis-Use. This book is complemented by a companion website that includes details from the editors' survey of financial engineering programs around the globe, along with a glossary of key terms from the book. This practical guide puts financial engineering in perspective, and will give you a better idea of how it can be effectively utilized in real- world situations. |
columbia financial engineering acceptance rate: The Journal of Financial Engineering , 1999 |
columbia financial engineering acceptance rate: So This is Financial Engineering: An introduction to financial engineering Kizzi Nkwocha, 2024-08-24 So This is Financial Engineering is an authoritative and inspiring book written by Kizzi Nkwocha, the creator of Business Game Changer Magazine, Money and Finance Magazine, and The Property Investor Magazine. This book serves as a comprehensive introduction to the principles and practices of financial engineering, designed specifically for finance professionals seeking to enhance their understanding and skills in this field. Financial engineering is of paramount importance in today's dynamic and complex financial landscape. It involves the application of mathematical and quantitative techniques to design innovative financial products, develop sophisticated risk management strategies, and optimize investment portfolios. This book delves into the significance of financial engineering and explores how it can bring substantial benefits to finance professionals. One of the primary benefits of financial engineering is its ability to provide a systematic framework for decision-making. By employing mathematical models, statistical analysis, and advanced risk assessment techniques, financial engineering equips professionals with the tools to make informed decisions and mitigate risks effectively. It offers a structured approach to tackle complex financial challenges, enabling professionals to optimize their strategies and achieve better outcomes. So This is Financial Engineering serves as a valuable resource for finance professionals as it covers a wide range of topics essential to understanding and implementing financial engineering principles. From option pricing models and portfolio optimization to risk management strategies and market microstructure, the book provides a comprehensive overview of the key concepts and techniques used in financial engineering. By reading So This is Financial Engineering, finance professionals will gain a deeper understanding of the theoretical foundations and practical applications of financial engineering. They will learn how to leverage mathematical models, statistical analysis, and technological advancements to enhance their decision-making capabilities and improve overall financial performance. So This is Financial Engineering not only provides theoretical explanations but also offers practical insights and real-world examples to reinforce learning and encourage practical application. Whether you are a seasoned finance professional or a budding enthusiast looking to expand your knowledge, So This is Financial Engineering is an essential read. It provides a comprehensive and accessible introduction to the principles and practice of financial engineering, empowering you with the tools and insights to excel in the dynamic world of finance. |
columbia financial engineering acceptance rate: Stocks for All: People’s Capitalism in the Twenty-First Century Petri Mäntysaari, 2021-12-31 Public stock markets are too small. This book is an effort to rescue public stock markets in the EU and the US. There should be more companies with publicly-traded shares and more direct share ownership. Anchored in a broad historical study of the regulation of stock markets and companies in Europe and the US, the book proposes ways to create a new regulatory regime designed to help firms and facilitate people’s capitalism. Through its comparative and historical study of regulation and legal practices, the book helps to understand the evolution of public stock markets from the nineteenth century to the present day. The book identifies design principles that reflect prior regulation. While continental European company law has produced many enduring design principles, the recent regulation of stock markets in the EU and the US has failed to serve the needs of both firms and retail investors. The book therefore proposes a new set of design principles to serve contemporary societal needs. |
columbia financial engineering acceptance rate: Stanford Law Review Stanford Law Review, 2011-07-11 The Stanford Law Review is published six times a year by students of the Stanford Law School. Each issue contains material written by student members of the Law Review, other Stanford law students, and outside contributors, such as law professors, judges, and practicing lawyers. The current volume is 63, for the academic year 2010-2011, and the present compilation, in ebook form, represents Issue 6, June 2011. The present issue is a special Symposium, featuring cutting-edge articles on patent law and the IP issues related to genetic and biotech innovation and business methods after the landmark U.S. Supreme Court decision in Bilski. |
columbia financial engineering acceptance rate: Physicists on Wall Street and Other Essays on Science and Society Jeremy Bernstein, 2008-11-02 Over the years, Jeremy Bernstein has been in contact with many of the world’s most renowned physicists and other scientists, many of whom were involved in politics, literature, and language. In this diverse collection of essays, he reflects on their work, their personal relationships, their motives, and their contributions. Even for those people he writes about that he did not know personally, he provides important insights into their lives and work, and questions their character, their decisions, and the lives they led. In the first three essays, Professor Bernstein looks at economic theory and how some physicists who developed interesting economic models based on derivatives and hedge funds almost led to the country into bankruptcy. In later essays, he discusses a suspect visit to Poland by the great Heisenberg during the Nazi era, a visit that there is almost nothing written about. Included also are essays on ancient languages and a nuclear weapons program in South Africa that was supposedly dismantled. In one particularly humorous essay, he describes how an ill-conceived manned spaceship to be powered by an atomic bomb was being developed by some of the country’s most powerful intellects. The project never got off the ground. Dipping into these pages is like rummaging around in the mind of a genius who has a potpourri of interests and an abundance of fascinating experiences. Bernstein has not only rubbed elbows with some of the finest minds in world, he has worked and played with them. He has sometimes mourned with them and laughed at them. His sharp wit and even sharper analysis make for a fascinating read. |
columbia financial engineering acceptance rate: Research Handbook of Investing in the Triple Bottom Line Sabri Boubaker, Douglas Cumming, Duc Khuong Nguyen, 2018 The triple bottom line is an accounting framework with social, environmental and financial factors. This Handbook examines the nexus between these areas by scrutinising aspects of socially responsible investment, finance and sustainable development, corporate socially responsible banking firms, the stock returns of sustainable firms, green bonds and sustainable financial instruments. |
columbia financial engineering acceptance rate: Peterson's Graduate Programs in Engineering Design, Engineering Physics, Geological, Mineral/Mining, & Petroleum Engineering, and Industrial Engineering 2011 Peterson's, 2011-05-01 Peterson's Graduate Programs in Engineering Design; Engineering Physics; Geological, Mineral/Mining, & Petroleum Engineering; and Industrial Engineering contains a wealth of information on colleges and universities that offer graduate degrees in these exciting fields. The profiled institutions include those in the United States, Canada, and abroad that are accredited by U.S. accrediting bodies. Up-to-date data, collected through Peterson's Annual Survey of Graduate and Professional Institutions, provides valuable information on degree offerings, professional accreditation, jointly offered degrees, part-time and evening/weekend programs, postbaccalaureate distance degrees, faculty, students, degree requirements, entrance requirements, expenses, financial support, faculty research, and unit head and application contact information. As an added bonus, readers will find a helpful See Close-Up link to in-depth program descriptions written by some of these institutions. These Close-Ups offer detailed information about the specific program, faculty members and their research, and links to the program Web site. In addition, there are valuable articles on financial assistance and support at the graduate level and the graduate admissions process, with special advice for international and minority students. Another article discusses important facts about accreditation and provides a current list of accrediting agencies. |
columbia financial engineering acceptance rate: Employment Practices Decisions , 1971 |
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