Skip to main content

A Primer For Financial Engineering

In Order to Read Online or Download A Primer For Financial Engineering Full eBooks in PDF, EPUB, Tuebl and Mobi you need to create a Free account. Get any books you like and read everywhere you want. Fast Download Speed ~ Commercial & Ad Free. We cannot guarantee that every book is in the library!

A Primer for Financial Engineering

A Primer for Financial Engineering Book
Author : Ali N. Akansu,Mustafa U. Torun
Publisher : Academic Press
Release : 2015-03-25
ISBN : 9780128015612
Language : En, Es, Fr & De

GET BOOK

Book Description :

This book bridges the fields of finance, mathematical finance and engineering, and is suitable for engineers and computer scientists who are looking to apply engineering principles to financial markets. The book builds from the fundamentals, with the help of simple examples, clearly explaining the concepts to the level needed by an engineer, while showing their practical significance. Topics covered include an in depth examination of market microstructure and trading, a detailed explanation of High Frequency Trading and the 2010 Flash Crash, risk analysis and management, popular trading strategies and their characteristics, and High Performance DSP and Financial Computing. The book has many examples to explain financial concepts, and the presentation is enhanced with the visual representation of relevant market data. It provides relevant MATLAB codes for readers to further their study. Provides engineering perspective to financial problems In depth coverage of market microstructure Detailed explanation of High Frequency Trading and 2010 Flash Crash Explores risk analysis and management Covers high performance DSP & financial computing

A Linear Algebra Primer for Financial Engineering

A Linear Algebra Primer for Financial Engineering Book
Author : Dan Stefanica
Publisher : Unknown
Release : 2014-09-25
ISBN : 9780979757655
Language : En, Es, Fr & De

GET BOOK

Book Description :

Download A Linear Algebra Primer for Financial Engineering book written by Dan Stefanica, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

A Primer for Financial Engineering

A Primer for Financial Engineering Book
Author : Ali N. Akansu,Mustafa U. Torun
Publisher : Academic Press
Release : 2015-03-25
ISBN : 0128017503
Language : En, Es, Fr & De

GET BOOK

Book Description :

This book bridges the fields of finance, mathematical finance and engineering, and is suitable for engineers and computer scientists who are looking to apply engineering principles to financial markets. The book builds from the fundamentals, with the help of simple examples, clearly explaining the concepts to the level needed by an engineer, while showing their practical significance. Topics covered include an in depth examination of market microstructure and trading, a detailed explanation of High Frequency Trading and the 2010 Flash Crash, risk analysis and management, popular trading strategies and their characteristics, and High Performance DSP and Financial Computing. The book has many examples to explain financial concepts, and the presentation is enhanced with the visual representation of relevant market data. It provides relevant MATLAB codes for readers to further their study. Please visit the companion website on http://booksite.elsevier.com/9780128015612/ Provides engineering perspective to financial problems In depth coverage of market microstructure Detailed explanation of High Frequency Trading and 2010 Flash Crash Explores risk analysis and management Covers high performance DSP & financial computing

Financing Nationally Appropriate Mitigation Actions

Financing Nationally Appropriate Mitigation Actions Book
Author : Søren Lütken
Publisher : Unknown
Release : 2014
ISBN : 0987650XXX
Language : En, Es, Fr & De

GET BOOK

Book Description :

Download Financing Nationally Appropriate Mitigation Actions book written by Søren Lütken, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Mathematics and Tools for Financial Engineering

Mathematics and Tools for Financial Engineering Book
Author : Petros A. Ioannou
Publisher : SIAM
Release : 2021-09-07
ISBN : 1611976766
Language : En, Es, Fr & De

GET BOOK

Book Description :

This book presents an overview of fundamental concepts in mathematics and how they are applied to basic financial engineering problems, with the goal of teaching students to use mathematics and engineering tools to understand and solve financial problems. Part I covers mathematical preliminaries (set theory, linear algebra, sequences and series, real functions and analysis, numerical approximations and computations, basic optimization theory, and stochastic processes), and Part II addresses financial topics ranging from low- to high-risk investments (interest rates and value of money, bonds, dynamic asset modeling, portfolio theory and optimization, option pricing, and the concept of hedging). Based on lectures for a master’s program in financial engineering given by the author over 12 years at the University of Southern California, Mathematics and Tools for Financial Engineering contains numerous examples and problems, establishes a strong general mathematics background and engineering modeling techniques in a pedagogical fashion, and covers numerical techniques with applications to solving financial problems using different software tools. This textbook is intended for graduate and advanced undergraduate students in finance or financial engineering and is useful to readers with no prior knowledge in finance who want to understand some basic mathematical tools and theories associated with financial engineering. It is also appropriate as an overview of many mathematical concepts and engineering tools relevant to courses on numerical analysis, modeling and data science, numerical optimization, and approximation theory.

Handbook of Financial Engineering

Handbook of Financial Engineering Book
Author : Constantin Zopounidis,Michael Doumpos,Panos M. Pardalos
Publisher : Springer Science & Business Media
Release : 2010-07-25
ISBN : 0387766820
Language : En, Es, Fr & De

GET BOOK

Book Description :

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.

Financial Engineering

Financial Engineering Book
Author : Tanya S. Beder,Cara M. Marshall
Publisher : John Wiley & Sons
Release : 2011-06-07
ISBN : 0470455810
Language : En, Es, Fr & De

GET BOOK

Book Description :

FINANCIAL ENGINEERING The Robert W. Kolb Series in Finance is an unparalleled source of information dedicated to the most important issues in modern finance. Each book focuses on a specific topic in the field of finance and contains contributed chapters from both respected academics and experienced financial professionals. As part of the Robert W. Kolb Series in Finance, Financial Engineering aims to provide a comprehensive understanding of this important discipline by examining its fundamentals, the newest financial products, and disseminating cutting-edge research. A contributed volume of distinguished practitioners and academics, Financial Engineering details the different participants, developments, and products of various markets—from fixed income, equity, and derivatives to foreign exchange. Also included within these pages are comprehensive case studies that reveal the various issues associated with financial engineering. Through them, you'll gain instant insights from the stories of Countrywide (mortgages), Société Générale and Barings (derivatives), the Allstate Corporation (fixed income), AIG, and many others. There is also a companion website with details from the editors' survey of financial engineering programs around the globe, as well as a glossary of key terms from the book. Financial engineering is an evolving field in constant revision. Success, innovation, and profitability in such a dynamic area require being at the forefront of research as new products and models are introduced and implemented. If you want to enhance your understanding of this discipline, take the time to learn from the experts gathered here.

Financial Signal Processing and Machine Learning

Financial Signal Processing and Machine Learning Book
Author : Ali N. Akansu,Sanjeev R. Kulkarni,Dmitry M. Malioutov
Publisher : John Wiley & Sons
Release : 2016-05-31
ISBN : 1118745671
Language : En, Es, Fr & De

GET BOOK

Book Description :

The modern financial industry has been required to deal with large and diverse portfolios in a variety of asset classes often with limited market data available. Financial Signal Processing and Machine Learning unifies a number of recent advances made in signal processing and machine learning for the design and management of investment portfolios and financial engineering. This book bridges the gap between these disciplines, offering the latest information on key topics including characterizing statistical dependence and correlation in high dimensions, constructing effective and robust risk measures, and their use in portfolio optimization and rebalancing. The book focuses on signal processing approaches to model return, momentum, and mean reversion, addressing theoretical and implementation aspects. It highlights the connections between portfolio theory, sparse learning and compressed sensing, sparse eigen-portfolios, robust optimization, non-Gaussian data-driven risk measures, graphical models, causal analysis through temporal-causal modeling, and large-scale copula-based approaches. Key features: Highlights signal processing and machine learning as key approaches to quantitative finance. Offers advanced mathematical tools for high-dimensional portfolio construction, monitoring, and post-trade analysis problems. Presents portfolio theory, sparse learning and compressed sensing, sparsity methods for investment portfolios. including eigen-portfolios, model return, momentum, mean reversion and non-Gaussian data-driven risk measures with real-world applications of these techniques. Includes contributions from leading researchers and practitioners in both the signal and information processing communities, and the quantitative finance community.

Artificial Intelligence and Economic Theory Skynet in the Market

Artificial Intelligence and Economic Theory  Skynet in the Market Book
Author : Tshilidzi Marwala,Evan Hurwitz
Publisher : Springer
Release : 2017-09-18
ISBN : 3319661043
Language : En, Es, Fr & De

GET BOOK

Book Description :

This book theoretically and practically updates major economic ideas such as demand and supply, rational choice and expectations, bounded rationality, behavioral economics, information asymmetry, pricing, efficient market hypothesis, game theory, mechanism design, portfolio theory, causality and financial engineering in the age of significant advances in man-machine systems. The advent of artificial intelligence has changed many disciplines such as engineering, social science and economics. Artificial intelligence is a computational technique which is inspired by natural intelligence concepts such as the swarming of birds, the working of the brain and the pathfinding of the ants. Artificial Intelligence and Economic Theory: Skynet in the Market analyses the impact of artificial intelligence on economic theories, a subject that has not been studied. It also introduces new economic theories and these are rational counterfactuals and rational opportunity costs. These ideas are applied to diverse areas such as modelling of the stock market, credit scoring, HIV and interstate conflict. Artificial intelligence ideas used in this book include neural networks, particle swarm optimization, simulated annealing, fuzzy logic and genetic algorithms. It, furthermore, explores ideas in causality including Granger as well as the Pearl causality models.

Financial Engineering of Climate Investment in Developing Countries

Financial Engineering of Climate Investment in Developing Countries Book
Author : Søren E. Lütken
Publisher : Anthem Press
Release : 2015-03-01
ISBN : 1783084278
Language : En, Es, Fr & De

GET BOOK

Book Description :

The Nationally Appropriate Mitigation Action (NAMA) is the new kid on the block in the battle against climate change. The NAMA is the most decisive instrument devised to address the fact that today the only source of growing emissions are the world’s developing countries. But as it is based purely on voluntarism it crucially depends on financing models that can lift the concept off the ground. This book provides the first insights as to how this concept can deliver on its promise – and challenges some of the fundamental mantras in international climate change collaboration.

Financial Engineering with Copulas Explained

Financial Engineering with Copulas Explained Book
Author : J. Mai,M. Scherer
Publisher : Springer
Release : 2014-10-02
ISBN : 1137346310
Language : En, Es, Fr & De

GET BOOK

Book Description :

This is a succinct guide to the application and modelling of dependence models or copulas in the financial markets. First applied to credit risk modelling, copulas are now widely used across a range of derivatives transactions, asset pricing techniques and risk models and are a core part of the financial engineer's toolkit.

Intelligent Data Engineering and Automated Learning IDEAL 2000 Data Mining Financial Engineering and Intelligent Agents

Intelligent Data Engineering and Automated Learning   IDEAL 2000  Data Mining  Financial Engineering  and Intelligent Agents Book
Author : Kwong S. Leung,Lai-wan Chan,Helen Meng
Publisher : Springer
Release : 2003-07-31
ISBN : 3540444912
Language : En, Es, Fr & De

GET BOOK

Book Description :

X Table of Contents Table of Contents XI XII Table of Contents Table of Contents XIII XIV Table of Contents Table of Contents XV XVI Table of Contents K.S. Leung, L.-W. Chan, and H. Meng (Eds.): IDEAL 2000, LNCS 1983, pp. 3›8, 2000. Springer-Verlag Berlin Heidelberg 2000 4 J. Sinkkonen and S. Kaski Clustering by Similarity in an Auxiliary Space 5 6 J. Sinkkonen and S. Kaski Clustering by Similarity in an Auxiliary Space 7 0.6 1.5 0.4 1 0.2 0.5 0 0 10 100 1000 10000 10 100 1000 Mutual information (bits) Mutual information (bits) 8 J. Sinkkonen and S. Kaski 20 10 0 0.1 0.3 0.5 0.7 Mutual information (mbits) Analyses on the Generalised Lotto-Type Competitive Learning Andrew Luk St B&P Neural Investments Pty Limited, Australia Abstract, In generalised lotto-type competitive learning algorithm more than one winner exist. The winners are divided into a number of tiers (or divisions), with each tier being rewarded differently. All the losers are penalised (which can be equally or differently). In order to study the various properties of the generalised lotto-type competitive learning, a set of equations, which governs its operations, is formulated. This is then used to analyse the stability and other dynamic properties of the generalised lotto-type competitive learning.

Financial Statistics and Mathematical Finance

Financial Statistics and Mathematical Finance Book
Author : Ansgar Steland
Publisher : John Wiley & Sons
Release : 2012-06-21
ISBN : 1118316568
Language : En, Es, Fr & De

GET BOOK

Book Description :

Mathematical finance has grown into a huge area of research which requires a lot of care and a large number of sophisticated mathematical tools. Mathematically rigorous and yet accessible to advanced level practitioners and mathematicians alike, it considers various aspects of the application of statistical methods in finance and illustrates some of the many ways that statistical tools are used in financial applications. Financial Statistics and Mathematical Finance: Provides an introduction to the basics of financial statistics and mathematical finance. Explains the use and importance of statistical methods in econometrics and financial engineering. Illustrates the importance of derivatives and calculus to aid understanding in methods and results. Looks at advanced topics such as martingale theory, stochastic processes and stochastic integration. Features examples throughout to illustrate applications in mathematical and statistical finance. Is supported by an accompanying website featuring R code and data sets. Financial Statistics and Mathematical Finance introduces the financial methodology and the relevant mathematical tools in a style that is both mathematically rigorous and yet accessible to advanced level practitioners and mathematicians alike, both graduate students and researchers in statistics, finance, econometrics and business administration will benefit from this book.

Computational Finance

Computational Finance Book
Author : Argimiro Arratia
Publisher : Springer Science & Business Media
Release : 2014-05-08
ISBN : 9462390703
Language : En, Es, Fr & De

GET BOOK

Book Description :

The book covers a wide range of topics, yet essential, in Computational Finance (CF), understood as a mix of Finance, Computational Statistics, and Mathematics of Finance. In that regard it is unique in its kind, for it touches upon the basic principles of all three main components of CF, with hands-on examples for programming models in R. Thus, the first chapter gives an introduction to the Principles of Corporate Finance: the markets of stock and options, valuation and economic theory, framed within Computation and Information Theory (e.g. the famous Efficient Market Hypothesis is stated in terms of computational complexity, a new perspective). Chapters 2 and 3 give the necessary tools of Statistics for analyzing financial time series, it also goes in depth into the concepts of correlation, causality and clustering. Chapters 4 and 5 review the most important discrete and continuous models for financial time series. Each model is provided with an example program in R. Chapter 6 covers the essentials of Technical Analysis (TA) and Fundamental Analysis. This chapter is suitable for people outside academics and into the world of financial investments, as a primer in the methods of charting and analysis of value for stocks, as it is done in the financial industry. Moreover, a mathematical foundation to the seemly ad-hoc methods of TA is given, and this is new in a presentation of TA. Chapter 7 reviews the most important heuristics for optimization: simulated annealing, genetic programming, and ant colonies (swarm intelligence) which is material to feed the computer savvy readers. Chapter 8 gives the basic principles of portfolio management, through the mean-variance model, and optimization under different constraints which is a topic of current research in computation, due to its complexity. One important aspect of this chapter is that it teaches how to use the powerful tools for portfolio analysis from the RMetrics R-package. Chapter 9 is a natural continuation of chapter 8 into the new area of research of online portfolio selection. The basic model of the universal portfolio of Cover and approximate methods to compute are also described.

Introductory Course on Financial Mathematics

Introductory Course on Financial Mathematics Book
Author : M V Tretyakov
Publisher : World Scientific Publishing Company
Release : 2013-07-23
ISBN : 190897740X
Language : En, Es, Fr & De

GET BOOK

Book Description :

This book is an elementary introduction to the basic concepts of financial mathematics with a central focus on discrete models and an aim to demonstrate simple, but widely used, financial derivatives for managing market risks. Only a basic knowledge of probability, real analysis, ordinary differential equations, linear algebra and some common sense are required to understand the concepts considered in this book. Financial mathematics is an application of advanced mathematical and statistical methods to financial management and markets, with a main objective of quantifying and hedging risks. Since the book aims to present the basics of financial mathematics to the reader, only essential elements of probability and stochastic analysis are given to explain ideas concerning derivative pricing and hedging. To keep the reader intrigued and motivated, the book has a ‘sandwich’ structure: probability and stochastics are given in situ where mathematics can be readily illustrated by application to finance. The first part of the book introduces one of the main principles in finance — ‘no arbitrage pricing’. It also introduces main financial instruments such as forward and futures contracts, bonds and swaps, and options. The second part deals with pricing and hedging of European- and American-type options in the discrete-time setting. In addition, the concept of complete and incomplete markets is discussed. Elementary probability is briefly revised and discrete-time discrete-space stochastic processes used in financial modelling are considered. The third part introduces the Wiener process, Ito integrals and stochastic differential equations, but its main focus is the famous Black–Scholes formula for pricing European options. Some guidance for further study within this exciting and rapidly changing field is given in the concluding chapter. There are approximately 100 exercises interspersed throughout the book, and solutions for most problems are provided in the appendices.

Managing Financial Risk A Guide to Derivative Products Financial Engineering and Value Maximization

Managing Financial Risk  A Guide to Derivative Products  Financial Engineering  and Value Maximization Book
Author : Charles Smithson,Clifford W. Smith, Jr.,Smithson Charles
Publisher : McGraw Hill Professional
Release : 1998-06-30
ISBN : 9780070593541
Language : En, Es, Fr & De

GET BOOK

Book Description :

Managing Financial Risk is the most authoritative and comprehensive primer ever published for financial professionals who must understand and successfully use derivaties. The previous edition of this professional financial classic sold over 18,000 copies and emerged as a leading training tool in the derivatives industry. The book covers derivative products from the most basic to the most complex and explains how derivatives are used by each major player in the market: dealers, financial firms, and corporations. In addition, the book includes short contributions from a variety of experts from leading companies such as Citibank, J.P. Morgan, British Petroleum, and Ciba-Geigy. Completely updated to include new material on new products such as commodity swaps and credit swaps, this edition will cover every aspect of the derivatives marketplace with insight and authority.

Mathematics of the Financial Markets

Mathematics of the Financial Markets Book
Author : Alain Ruttiens
Publisher : John Wiley & Sons
Release : 2013-08-05
ISBN : 1118513452
Language : En, Es, Fr & De

GET BOOK

Book Description :

Mathematics of the Financial Markets Financial Instruments and Derivatives Modeling, Valuation and Risk Issues "Alain Ruttiens has the ability to turn extremely complex concepts and theories into very easy to understand notions. I wish I had read his book when I started my career!" Marco Dion, Global Head of Equity Quant Strategy, J.P. Morgan "The financial industry is built on a vast collection of financial securities that can be valued and risk profiled using a set of miscellaneous mathematical models. The comprehension of these models is fundamental to the modern portfolio and risk manager in order to achieve a deep understanding of the capabilities and limitations of these methods in the approximation of the market. In his book, Alain Ruttiens exposes these models for a wide range of financial instruments by using a detailed and user friendly approach backed up with real-life data examples. The result is an excellent entry-level and reference book that will help any student and current practitioner up their mathematical modeling skills in the increasingly demanding domain of asset and risk management." Virgile Rostand, Consultant, Toronto ON "Alain Ruttiens not only presents the reader with a synthesis between mathematics and practical market dealing, but, more importantly a synthesis of his thinking and of his life." René Chopard, CEO, Centro di Studi Bancari Lugano, Vezia / Professor, Università dell'Insubria, Varese "Alain Ruttiens has written a book on quantitative finance that covers a wide range of financial instruments, examples and models. Starting from first principles, the book should be accessible to anyone who is comfortable with trading strategies, numbers and formulas." Dr Yuh-Dauh Lyuu, Professor of Finance & Professor of Computer Science & Information Engineering, National Taiwan University

Finance Sense

Finance Sense Book
Author : Prasanna Chandra
Publisher : McGraw-Hill Education
Release : 2017-04-01
ISBN : 9352606256
Language : En, Es, Fr & De

GET BOOK

Book Description :

The book offers a basic and clear understanding of finance and accounting to non-finance professionals. It would also assist them understand the financial and accounting reports used in the business, appreciate the financial implications of their decisions, and communicate meaningfully with their colleagues in the language of accounting and finance. Salient Features: - Two new chapters: Corporate Valuation and Financial Risk Management - Four new Appendices: Frugal Innovations in Emerging Markets, Microsoft Excel as a Financial Calculator, Beta Values for Sensex Stocks and Supply Chain Management - Enhanced and updated content as per the latest financial changes

Risk Neutral Pricing and Financial Mathematics

Risk Neutral Pricing and Financial Mathematics Book
Author : Peter M. Knopf,John L. Teall
Publisher : Elsevier
Release : 2015-07-29
ISBN : 0128017279
Language : En, Es, Fr & De

GET BOOK

Book Description :

Risk Neutral Pricing and Financial Mathematics: A Primer provides a foundation to financial mathematics for those whose undergraduate quantitative preparation does not extend beyond calculus, statistics, and linear math. It covers a broad range of foundation topics related to financial modeling, including probability, discrete and continuous time and space valuation, stochastic processes, equivalent martingales, option pricing, and term structure models, along with related valuation and hedging techniques. The joint effort of two authors with a combined 70 years of academic and practitioner experience, Risk Neutral Pricing and Financial Mathematics takes a reader from learning the basics of beginning probability, with a refresher on differential calculus, all the way to Doob-Meyer, Ito, Girsanov, and SDEs. It can also serve as a useful resource for actuaries preparing for Exams FM and MFE (Society of Actuaries) and Exams 2 and 3F (Casualty Actuarial Society). Includes more subjects than other books, including probability, discrete and continuous time and space valuation, stochastic processes, equivalent martingales, option pricing, term structure models, valuation, and hedging techniques Emphasizes introductory financial engineering, financial modeling, and financial mathematics Suited for corporate training programs and professional association certification programs