The Art And Science Of Financial Modeling

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The Art and Science of Financial Modeling

Author : Anurag Singal
Publisher : Business Expert Press
ISBN 13 : 1948976951
Total Pages : 138 pages
Book Rating : 4.9/5 (489 download)

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Book Synopsis The Art and Science of Financial Modeling by : Anurag Singal

Download or read book The Art and Science of Financial Modeling written by Anurag Singal and published by Business Expert Press. This book was released on 2018-09-10 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book will help readers dive deep into the vocabulary and the syntax, the art and science of financial modeling and valuation. To use a cliché, we live in a volatile uncertain complex and ambiguous (VUCA) world. Organizations simply cannot afford to try out new strategies in reality and correct mistakes, once they’ve occurred. The stakes are too high. Thus emerges the utility of this technique across functions like financial planning and risk management. Financial models help a business manager simulate the future and see the impact of their change, without risking costly setbacks of real world trials and errors. Mastering the art of financial modeling is imperative for those who want to enter the ultra-competitive world of corporate finance, investment banking, private equity, or equity research. Only those who excel (pun intended) in modeling early on are often the most successful long- term. Readers will be able to prepare/use existing models more competently, interpret the results and have greater comfort over the integrity and accuracy of the model’s calculations.

Financial Modeling

Author : Simon Benninga
Publisher : MIT Press
ISBN 13 : 9780262024822
Total Pages : 648 pages
Book Rating : 4.0/5 (248 download)

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Book Synopsis Financial Modeling by : Simon Benninga

Download or read book Financial Modeling written by Simon Benninga and published by MIT Press. This book was released on 2000 with total page 648 pages. Available in PDF, EPUB and Kindle. Book excerpt: Too often, finance courses stop short of making a connection between textbook finance and the problems of real-world business. "Financial Modeling" bridges this gap between theory and practice by providing a nuts-and-bolts guide to solving common financial problems with spreadsheets. The CD-ROM contains Excel* worksheets and solutions to end-of-chapter exercises. 634 illustrations.

Financial Modeling, fifth edition

Author : Simon Benninga
Publisher : MIT Press
ISBN 13 : 0262368242
Total Pages : 1049 pages
Book Rating : 4.2/5 (623 download)

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Book Synopsis Financial Modeling, fifth edition by : Simon Benninga

Download or read book Financial Modeling, fifth edition written by Simon Benninga and published by MIT Press. This book was released on 2022-02-08 with total page 1049 pages. Available in PDF, EPUB and Kindle. Book excerpt: A substantially updated new edition of the essential text on financial modeling, with revised material, new data, and implementations shown in Excel, R, and Python. Financial Modeling has become the gold-standard text in its field, an essential guide for students, researchers, and practitioners that provides the computational tools needed for modeling finance fundamentals. This fifth edition has been substantially updated but maintains the straightforward, hands-on approach, with an optimal mix of explanation and implementation, that made the previous editions so popular. Using detailed Excel spreadsheets, it explains basic and advanced models in the areas of corporate finance, portfolio management, options, and bonds. This new edition offers revised material on valuation, second-order and third-order Greeks for options, value at risk (VaR), Monte Carlo methods, and implementation in R. The examples and implementation use up-to-date and relevant data. Parts I to V cover corporate finance topics, bond and yield curve models, portfolio theory, options and derivatives, and Monte Carlo methods and their implementation in finance. Parts VI and VII treat technical topics, with part VI covering Excel and R issues and part VII (now on the book’s auxiliary website) covering Excel’s programming language, Visual Basic for Applications (VBA), and Python implementations. Knowledge of technical chapters on VBA and R is not necessary for understanding the material in the first five parts. The book is suitable for use in advanced finance classes that emphasize the need to combine modeling skills with a deeper knowledge of the underlying financial models.

Advanced Modelling in Finance using Excel and VBA

Author : Mary Jackson
Publisher : John Wiley & Sons
ISBN 13 : 0470061669
Total Pages : 278 pages
Book Rating : 4.4/5 (7 download)

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Book Synopsis Advanced Modelling in Finance using Excel and VBA by : Mary Jackson

Download or read book Advanced Modelling in Finance using Excel and VBA written by Mary Jackson and published by John Wiley & Sons. This book was released on 2006-08-30 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: This new and unique book demonstrates that Excel and VBA can play an important role in the explanation and implementation of numerical methods across finance. Advanced Modelling in Finance provides a comprehensive look at equities, options on equities and options on bonds from the early 1950s to the late 1990s. The book adopts a step-by-step approach to understanding the more sophisticated aspects of Excel macros and VBA programming, showing how these programming techniques can be used to model and manipulate financial data, as applied to equities, bonds and options. The book is essential for financial practitioners who need to develop their financial modelling skill sets as there is an increase in the need to analyse and develop ever more complex 'what if' scenarios. Specifically applies Excel and VBA to the financial markets Packaged with a CD containing the software from the examples throughout the book Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.

An Engine, Not a Camera

Author : Donald MacKenzie
Publisher : MIT Press
ISBN 13 : 0262250047
Total Pages : 782 pages
Book Rating : 4.2/5 (622 download)

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Book Synopsis An Engine, Not a Camera by : Donald MacKenzie

Download or read book An Engine, Not a Camera written by Donald MacKenzie and published by MIT Press. This book was released on 2008-08-29 with total page 782 pages. Available in PDF, EPUB and Kindle. Book excerpt: In An Engine, Not a Camera, Donald MacKenzie argues that the emergence of modern economic theories of finance affected financial markets in fundamental ways. These new, Nobel Prize-winning theories, based on elegant mathematical models of markets, were not simply external analyses but intrinsic parts of economic processes. Paraphrasing Milton Friedman, MacKenzie says that economic models are an engine of inquiry rather than a camera to reproduce empirical facts. More than that, the emergence of an authoritative theory of financial markets altered those markets fundamentally. For example, in 1970, there was almost no trading in financial derivatives such as "futures." By June of 2004, derivatives contracts totaling $273 trillion were outstanding worldwide. MacKenzie suggests that this growth could never have happened without the development of theories that gave derivatives legitimacy and explained their complexities. MacKenzie examines the role played by finance theory in the two most serious crises to hit the world's financial markets in recent years: the stock market crash of 1987 and the market turmoil that engulfed the hedge fund Long-Term Capital Management in 1998. He also looks at finance theory that is somewhat beyond the mainstream—chaos theorist Benoit Mandelbrot's model of "wild" randomness. MacKenzie's pioneering work in the social studies of finance will interest anyone who wants to understand how America's financial markets have grown into their current form.

Financial Modelling in Python

Author : Shayne Fletcher
Publisher : John Wiley & Sons
ISBN 13 : 0470747897
Total Pages : 244 pages
Book Rating : 4.4/5 (77 download)

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Book Synopsis Financial Modelling in Python by : Shayne Fletcher

Download or read book Financial Modelling in Python written by Shayne Fletcher and published by John Wiley & Sons. This book was released on 2010-10-28 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Fletcher and Gardner have created a comprehensive resource that will be of interest not only to those working in the field of finance, but also to those using numerical methods in other fields such as engineering, physics, and actuarial mathematics. By showing how to combine the high-level elegance, accessibility, and flexibility of Python, with the low-level computational efficiency of C++, in the context of interesting financial modeling problems, they have provided an implementation template which will be useful to others seeking to jointly optimize the use of computational and human resources. They document all the necessary technical details required in order to make external numerical libraries available from within Python, and they contribute a useful library of their own, which will significantly reduce the start-up costs involved in building financial models. This book is a must read for all those with a need to apply numerical methods in the valuation of financial claims." –David Louton, Professor of Finance, Bryant University This book is directed at both industry practitioners and students interested in designing a pricing and risk management framework for financial derivatives using the Python programming language. It is a practical book complete with working, tested code that guides the reader through the process of building a flexible, extensible pricing framework in Python. The pricing frameworks' loosely coupled fundamental components have been designed to facilitate the quick development of new models. Concrete applications to real-world pricing problems are also provided. Topics are introduced gradually, each building on the last. They include basic mathematical algorithms, common algorithms from numerical analysis, trade, market and event data model representations, lattice and simulation based pricing, and model development. The mathematics presented is kept simple and to the point. The book also provides a host of information on practical technical topics such as C++/Python hybrid development (embedding and extending) and techniques for integrating Python based programs with Microsoft Excel.

Modeling Structured Finance Cash Flows with Microsoft Excel

Author : Keith A. Allman
Publisher : John Wiley & Sons
ISBN 13 : 1118044665
Total Pages : 230 pages
Book Rating : 4.1/5 (18 download)

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Book Synopsis Modeling Structured Finance Cash Flows with Microsoft Excel by : Keith A. Allman

Download or read book Modeling Structured Finance Cash Flows with Microsoft Excel written by Keith A. Allman and published by John Wiley & Sons. This book was released on 2010-12-28 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: A practical guide to building fully operational financial cash flow models for structured finance transactions Structured finance and securitization deals are becoming more commonplace on Wall Street. Up until now, however, market participants have had to create their own models to analyze these deals, and new entrants have had to learn as they go. Modeling Structured Finance Cash Flows with Microsoft Excel provides readers with the information they need to build a cash flow model for structured finance and securitization deals. Financial professional Keith Allman explains individual functions and formulas, while also explaining the theory behind the spreadsheets. Each chapter begins with a discussion of theory, followed by a section called "Model Builder," in which Allman translates the theory into functions and formulas. In addition, the companion website features all of the modeling exercises, as well as a final version of the model that is created in the text. Note: Companion website and other supplementary materials are not included as part of eBook file.

Martingale Methods in Financial Modelling

Author : Marek Musiela
Publisher : Springer Science & Business Media
ISBN 13 : 3662221322
Total Pages : 521 pages
Book Rating : 4.6/5 (622 download)

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Book Synopsis Martingale Methods in Financial Modelling by : Marek Musiela

Download or read book Martingale Methods in Financial Modelling written by Marek Musiela and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 521 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive and self-contained treatment of the theory and practice of option pricing. The role of martingale methods in financial modeling is exposed. The emphasis is on using arbitrage-free models already accepted by the market as well as on building the new ones. Standard calls and puts together with numerous examples of exotic options such as barriers and quantos, for example on stocks, indices, currencies and interest rates are analysed. The importance of choosing a convenient numeraire in price calculations is explained. Mathematical and financial language is used so as to bring mathematicians closer to practical problems of finance and presenting to the industry useful maths tools.

Corporate Sustainability Management

Author : Mark W. McElroy
Publisher : Routledge
ISBN 13 : 1136329617
Total Pages : 258 pages
Book Rating : 4.1/5 (363 download)

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Book Synopsis Corporate Sustainability Management by : Mark W. McElroy

Download or read book Corporate Sustainability Management written by Mark W. McElroy and published by Routledge. This book was released on 2012-05-23 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: Businesses around the world are increasingly turning to an exciting new branch of management known as corporate sustainability management (CSM) to help them better understand and manage their non-financial performance. Indeed, what we are witnessing is nothing less than the birth of a new management function. The main pillar of CSM is the Triple Bottom Line (TBL), which has been successful as an organizing principle but a disappointment in practice. This is largely due to the absence of 'sustainability context' in related measurement, management and reporting efforts, when for example the monitoring of a company's use of freshwater resources fails to take into account the size of related supplies. This book is the first to introduce a systematic means of including context in sustainability management and doing effective CSM. After making the case for why context matters, the book explains how to do context-based CSM by providing a stepwise, cyclical blueprint for how to practice it in any organization. This includes a template for context-based metrics compatible with the Global Reporting Initiative (GRI), as well as specific examples of metrics for each of the triple bottom lines. Practical examples of best practices are presented throughout, while simultaneously addressing key issues, such as how organizations can measure performance against context-based standards when consensus for such standards does not yet exist. Appendices include tools for developing and applying context-based metrics, as well as case studies taken from the practice of context-based CSM at two companies in the United States. This guide is the essential tool for business and organizational leaders in all sectors committed to improving their sustainability performance, with a particular emphasis on measurement, management and reporting.

Financial Modeling

Author : Anurag Singal
Publisher :
ISBN 13 : 9781720144519
Total Pages : 115 pages
Book Rating : 4.1/5 (445 download)

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Book Synopsis Financial Modeling by : Anurag Singal

Download or read book Financial Modeling written by Anurag Singal and published by . This book was released on 2018-09-07 with total page 115 pages. Available in PDF, EPUB and Kindle. Book excerpt: To use a cliché, we live in a volatile uncertain complex and ambiguous (VUCA) world.Organizations simply cannot afford to try out new strategies in reality and correct mistakes, once they've occurred.The stakes are too high. Thus emerges the utility of this technique across functions like financial planning and risk management. Financial models help a business manager simulate the future and see the impact of their change, without risking costly setbacks of real world trials and errors.Mastering the art of financial modeling is imperative for those who want to enter the ultra-competitive world of corporate finance, investment banking, private equity, or equity research. Only those who excel (pun intended) in modeling early on are often the most successful long-term.The book will help readers dive deep into the vocabulary and the syntax, the art and science of financial modeling and valuation. Readers will be able to prepare/use existing models more competently, interpret the results and have greater comfort over the integrity and accuracy of the model's calculations.

Valuation

Author : George Chacko
Publisher : Pearson Education
ISBN 13 : 0132905221
Total Pages : 177 pages
Book Rating : 4.1/5 (329 download)

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Book Synopsis Valuation by : George Chacko

Download or read book Valuation written by George Chacko and published by Pearson Education. This book was released on 2014 with total page 177 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master corporate valuation: the financial art and science of accurately valuing any business. George Chacko's Applied Corporate Finance: Valuation is the first valuation book to combine true academic rigor with the practical skills you need to successfully value companies in the real world. Renowned financial instructor and investment manager George Chacko focuses on concepts, techniques, tools, and methodologies that lead directly to accurate valuations, and explains each key concept with up-to-date examples. One step at a time, Chacko develops a practical, rigorous approach to conducting valuation, addressing the projection of financial statements, calculation of free cash flows, risk-adjusted cost of capital, and leading methodologies including WACC, flow-to-equity, and Adjusted Present Value (APV). By avoiding elementary content that financial managers, analysts, and MBA-level finance students already know, this book can focus more tightly on the realistic techniques and advanced issues practitioners are actually concerned with. Coverage includes: market value and accounting balance sheets, cash cycles, the DuPont formula, financial distress, and capital as a risk buffer; constructing pro-formas, projecting and bridging financing shortfalls, and planning sustainable growth; sources/uses of cash, cash income statements, pro-forma balance sheet changes, working capital, depreciation, and capital expenditures; risk-free cost, investment risks, and diversifiable vs. idiosyncratic risks; NPV, APV, Optimal Debt Ratios, Capital Structure Dynamics, Terminal Value Calculations, and more. For all finance professionals, analysts, and MBA students who need to sharpen their skills in valuation and related areas of corporate finance, accounting, or strategic planning.

The Econometrics of Financial Markets

Author : John Y. Campbell
Publisher : Princeton University Press
ISBN 13 : 1400830214
Total Pages : 630 pages
Book Rating : 4.4/5 (8 download)

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Book Synopsis The Econometrics of Financial Markets by : John Y. Campbell

Download or read book The Econometrics of Financial Markets written by John Y. Campbell and published by Princeton University Press. This book was released on 2012-06-28 with total page 630 pages. Available in PDF, EPUB and Kindle. Book excerpt: The past twenty years have seen an extraordinary growth in the use of quantitative methods in financial markets. Finance professionals now routinely use sophisticated statistical techniques in portfolio management, proprietary trading, risk management, financial consulting, and securities regulation. This graduate-level textbook is intended for PhD students, advanced MBA students, and industry professionals interested in the econometrics of financial modeling. The book covers the entire spectrum of empirical finance, including: the predictability of asset returns, tests of the Random Walk Hypothesis, the microstructure of securities markets, event analysis, the Capital Asset Pricing Model and the Arbitrage Pricing Theory, the term structure of interest rates, dynamic models of economic equilibrium, and nonlinear financial models such as ARCH, neural networks, statistical fractals, and chaos theory. Each chapter develops statistical techniques within the context of a particular financial application. This exciting new text contains a unique and accessible combination of theory and practice, bringing state-of-the-art statistical techniques to the forefront of financial applications. Each chapter also includes a discussion of recent empirical evidence, for example, the rejection of the Random Walk Hypothesis, as well as problems designed to help readers incorporate what they have read into their own applications.

Financial Modeling, Actuarial Valuation and Solvency in Insurance

Author : Mario V. Wüthrich
Publisher : Springer Science & Business Media
ISBN 13 : 3642313922
Total Pages : 438 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Financial Modeling, Actuarial Valuation and Solvency in Insurance by : Mario V. Wüthrich

Download or read book Financial Modeling, Actuarial Valuation and Solvency in Insurance written by Mario V. Wüthrich and published by Springer Science & Business Media. This book was released on 2013-04-04 with total page 438 pages. Available in PDF, EPUB and Kindle. Book excerpt: Risk management for financial institutions is one of the key topics the financial industry has to deal with. The present volume is a mathematically rigorous text on solvency modeling. Currently, there are many new developments in this area in the financial and insurance industry (Basel III and Solvency II), but none of these developments provides a fully consistent and comprehensive framework for the analysis of solvency questions. Merz and Wüthrich combine ideas from financial mathematics (no-arbitrage theory, equivalent martingale measure), actuarial sciences (insurance claims modeling, cash flow valuation) and economic theory (risk aversion, probability distortion) to provide a fully consistent framework. Within this framework they then study solvency questions in incomplete markets, analyze hedging risks, and study asset-and-liability management questions, as well as issues like the limited liability options, dividend to shareholder questions, the role of re-insurance, etc. This work embeds the solvency discussion (and long-term liabilities) into a scientific framework and is intended for researchers as well as practitioners in the financial and actuarial industry, especially those in charge of internal risk management systems. Readers should have a good background in probability theory and statistics, and should be familiar with popular distributions, stochastic processes, martingales, etc.

Valuation

Author : Sheridan Titman
Publisher :
ISBN 13 : 9780321384140
Total Pages : 556 pages
Book Rating : 4.3/5 (841 download)

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Book Synopsis Valuation by : Sheridan Titman

Download or read book Valuation written by Sheridan Titman and published by . This book was released on 2008 with total page 556 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Modeling Financial Time Series with S-PLUS

Author : Eric Zivot
Publisher : Springer Science & Business Media
ISBN 13 : 0387217630
Total Pages : 632 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis Modeling Financial Time Series with S-PLUS by : Eric Zivot

Download or read book Modeling Financial Time Series with S-PLUS written by Eric Zivot and published by Springer Science & Business Media. This book was released on 2013-11-11 with total page 632 pages. Available in PDF, EPUB and Kindle. Book excerpt: The field of financial econometrics has exploded over the last decade This book represents an integration of theory, methods, and examples using the S-PLUS statistical modeling language and the S+FinMetrics module to facilitate the practice of financial econometrics. This is the first book to show the power of S-PLUS for the analysis of time series data. It is written for researchers and practitioners in the finance industry, academic researchers in economics and finance, and advanced MBA and graduate students in economics and finance. Readers are assumed to have a basic knowledge of S-PLUS and a solid grounding in basic statistics and time series concepts. This Second Edition is updated to cover S+FinMetrics 2.0 and includes new chapters on copulas, nonlinear regime switching models, continuous-time financial models, generalized method of moments, semi-nonparametric conditional density models, and the efficient method of moments. Eric Zivot is an associate professor and Gary Waterman Distinguished Scholar in the Economics Department, and adjunct associate professor of finance in the Business School at the University of Washington. He regularly teaches courses on econometric theory, financial econometrics and time series econometrics, and is the recipient of the Henry T. Buechel Award for Outstanding Teaching. He is an associate editor of Studies in Nonlinear Dynamics and Econometrics. He has published papers in the leading econometrics journals, including Econometrica, Econometric Theory, the Journal of Business and Economic Statistics, Journal of Econometrics, and the Review of Economics and Statistics. Jiahui Wang is an employee of Ronin Capital LLC. He received a Ph.D. in Economics from the University of Washington in 1997. He has published in leading econometrics journals such as Econometrica and Journal of Business and Economic Statistics, and is the Principal Investigator of National Science Foundation SBIR grants. In 2002 Dr. Wang was selected as one of the "2000 Outstanding Scholars of the 21st Century" by International Biographical Centre.

Monte Carlo Methods in Financial Engineering

Author : Paul Glasserman
Publisher : Springer Science & Business Media
ISBN 13 : 0387216170
Total Pages : 603 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis Monte Carlo Methods in Financial Engineering by : Paul Glasserman

Download or read book Monte Carlo Methods in Financial Engineering written by Paul Glasserman and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 603 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Machine Learning in Finance

Author : Matthew F. Dixon
Publisher : Springer Nature
ISBN 13 : 3030410684
Total Pages : 565 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Machine Learning in Finance by : Matthew F. Dixon

Download or read book Machine Learning in Finance written by Matthew F. Dixon and published by Springer Nature. This book was released on 2020-07-01 with total page 565 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces machine learning methods in finance. It presents a unified treatment of machine learning and various statistical and computational disciplines in quantitative finance, such as financial econometrics and discrete time stochastic control, with an emphasis on how theory and hypothesis tests inform the choice of algorithm for financial data modeling and decision making. With the trend towards increasing computational resources and larger datasets, machine learning has grown into an important skillset for the finance industry. This book is written for advanced graduate students and academics in financial econometrics, mathematical finance and applied statistics, in addition to quants and data scientists in the field of quantitative finance. Machine Learning in Finance: From Theory to Practice is divided into three parts, each part covering theory and applications. The first presents supervised learning for cross-sectional data from both a Bayesian and frequentist perspective. The more advanced material places a firm emphasis on neural networks, including deep learning, as well as Gaussian processes, with examples in investment management and derivative modeling. The second part presents supervised learning for time series data, arguably the most common data type used in finance with examples in trading, stochastic volatility and fixed income modeling. Finally, the third part presents reinforcement learning and its applications in trading, investment and wealth management. Python code examples are provided to support the readers' understanding of the methodologies and applications. The book also includes more than 80 mathematical and programming exercises, with worked solutions available to instructors. As a bridge to research in this emergent field, the final chapter presents the frontiers of machine learning in finance from a researcher's perspective, highlighting how many well-known concepts in statistical physics are likely to emerge as important methodologies for machine learning in finance.