Rethinking Valuation and Pricing Models Book

Rethinking Valuation and Pricing Models

  • Author : Carsten S. Wehn
  • Publisher : Academic Press
  • Release Date : 2013
  • Genre: Business & Economics
  • Pages : 622
  • ISBN 10 : 9780124158757

Rethinking Valuation and Pricing Models Excerpt :

It is widely acknowledged that many financial modelling techniques failed during the financial crisis, and in our post-crisis environment many techniques are being reconsidered. This single volume provides a guide to lessons learned for practitioners and a reference for academics. Including reviews of traditional approaches, real examples, and case studies, contributors consider portfolio theory; methods for valuing equities and equity derivatives, interest rate derivatives, and hybrid products; and techniques for calculating risks and implementing investment strategies. Describing new approaches without losing sight of their classical antecedents, this collection of original articles presents a timely perspective on our post-crisis paradigm. Highlights pre-crisis best classical practices, identifies post-crisis key issues, and examines emerging approaches to solving those issues Singles out key factors one must consider when valuing or calculating risks in the post-crisis environment Presents material in a homogenous, practical, clear, and not overly technical manner

The Price of Fixed Income Market Volatility Book

The Price of Fixed Income Market Volatility

  • Author : Antonio Mele
  • Publisher : Springer
  • Release Date : 2016-01-11
  • Genre: Mathematics
  • Pages : 250
  • ISBN 10 : 9783319265230

The Price of Fixed Income Market Volatility Excerpt :

Fixed income volatility and equity volatility evolve heterogeneously over time, co-moving disproportionately during periods of global imbalances and each reacting to events of different nature. While the methodology for options-based "model-free" pricing of equity volatility has been known for some time, little is known about analogous methodologies for pricing various fixed income volatilities. This book fills this gap and provides a unified evaluation framework of fixed income volatility while dealing with disparate markets such as interest-rate swaps, government bonds, time-deposits and credit. It develops model-free, forward looking indexes of fixed-income volatility that match different quoting conventions across various markets, and uncovers subtle yet important pitfalls arising from naïve superimpositions of the standard equity volatility methodology when pricing various fixed income volatilities.

Mathematical and Statistical Methods for Actuarial Sciences and Finance Book

Mathematical and Statistical Methods for Actuarial Sciences and Finance

  • Author : Marco Corazza
  • Publisher : Springer
  • Release Date : 2014-08-06
  • Genre: Mathematics
  • Pages : 313
  • ISBN 10 : 9783319024998

Mathematical and Statistical Methods for Actuarial Sciences and Finance Excerpt :

The interaction between mathematicians and statisticians has been shown to be an effective approach for dealing with actuarial, insurance and financial problems, both from an academic perspective and from an operative one. The collection of original papers presented in this volume pursues precisely this purpose. It covers a wide variety of subjects in actuarial, insurance and finance fields, all treated in the light of the successful cooperation between the above two quantitative approaches. The papers published in this volume present theoretical and methodological contributions and their applications to real contexts. With respect to the theoretical and methodological contributions, some of the considered areas of investigation are: actuarial models; alternative testing approaches; behavioral finance; clustering techniques; coherent and non-coherent risk measures; credit scoring approaches; data envelopment analysis; dynamic stochastic programming; financial contagion models; financial ratios; intelligent financial trading systems; mixture normality approaches; Monte Carlo-based methods; multicriteria methods; nonlinear parameter estimation techniques; nonlinear threshold models; particle swarm optimization; performance measures; portfolio optimization; pricing methods for structured and non-structured derivatives; risk management; skewed distribution analysis; solvency analysis; stochastic actuarial valuation methods; variable selection models; time series analysis tools. As regards the applications, they are related to real problems associated, among the others, to: banks; collateralized fund obligations; credit portfolios; defined benefit pension plans; double-indexed pension annuities; efficient-market hypothesis; exchange markets; financial time series; firms; hedge funds; non-life insurance companies; returns distributions; socially responsible mutual funds; unit-linked contracts. This book is aimed at academics, Ph.D. students, practitioners, professionals a

Market Research in Practice Book

Market Research in Practice

  • Author : Paul Hague
  • Publisher : Kogan Page Publishers
  • Release Date : 2021-11-03
  • Genre: Business & Economics
  • Pages : 392
  • ISBN 10 : 9781398602830

Market Research in Practice Excerpt :

Learn the fundamentals of market research with this bestselling guide that delivers an overview of the whole process, from planning a project and executing it, what tools to use, through to analysis and presenting the findings. Market Research in Practice provides a practical and robust introduction to the subject, providing a clear step-by-step guide to managing market research and how to effectively to obtain the most reliable results. Written by an industry expert with over 35 years' practical experience in running a successful market research agency, tips and advice are included throughout to ground the concepts in business reality. This text also benefits from real-world examples from companies including Adidas, Marks & Spencer, Grohe and General Motors. Now in its fourth edition, Market Research in Practice is now fully updated to capture the latest changes and developments in the field and explores new tools of qualitative research using online methods as well as expanding further on online surveys such as SurveyMonkey. Accompanied by a range of templates, surveys and resources for lecturers, this is an invaluable guide for students of research methods, researchers, marketers and users of market research.

Bayesian Model Comparison Book

Bayesian Model Comparison

  • Author : Ivan Jeliazkov
  • Publisher : Emerald Group Publishing
  • Release Date : 2014-11-21
  • Genre: Political Science
  • Pages : 390
  • ISBN 10 : 9781784411848

Bayesian Model Comparison Excerpt :

This volume of Advances in Econometrics 34 focusses on Bayesian model comparison. It reflects the recent progress in model building and evaluation that has been achieved in the Bayesian paradigm and provides new state-of-the-art techniques, methodology, and findings that should stimulate future research.

Introduction to Econophysics Book

Introduction to Econophysics

  • Author : Carlo Requião da Cunha
  • Publisher : CRC Press
  • Release Date : 2021-10-29
  • Genre: Business & Economics
  • Pages : 312
  • ISBN 10 : 9781000464238

Introduction to Econophysics Excerpt :

Econophysics explores the parallels between physics and economics and is an exciting topic that is attracting increasing attention. However there is a lack of literature that explains the topic from a broad perspective. This book introduces advanced undergraduates and graduate students in physics and engineering to the topic from this outlook, and is accompanied by rigorous mathematics which ensures that this will also be a good guide for established researchers in the field as well as researchers from other fields, such as mathematics and statistics, who are interested in the topic. Key features: Presents a multidisciplinary approach that will be of interest to students and researchers from physics, engineering, mathematics, statistics, and other physical sciences Accompanied by Python code with further learning opportunities, available for readers to download from the CRC Press website. Accessible to both students and researchers Carlo R. da Cunha is an associate professor of physics and engineering physics at the Universidade Federal do Rio Grande do Sul (Brazil) and has been since 2011. Dr. da Cunha received his M.Sc. Degree from the West Virginia University in 2001 and his Ph.D. degree from Arizona State University in 2005. He was a postdoctoral researcher at McGill University in Canada in 2006 and an assistant professor of engineering at the University Federal de Santa Catarina between 2007 and 2011. He has been a guest professor at the Technische Universität Wien (Austria), Chiba University (Japan) and Arizona State University (US). His research revolves around the physics of complex systems where he has been drawing parallels between physical and economic systems from quantum to social levels.

Systemic Risk Tomography Book

Systemic Risk Tomography

  • Author : Monica Billio
  • Publisher : Elsevier
  • Release Date : 2016-11-25
  • Genre: Business & Economics
  • Pages : 300
  • ISBN 10 : 9780081011768

Systemic Risk Tomography Excerpt :

In April 2010 Europe was shocked by the Greek financial turmoil. At that time, the global financial crisis, which started in the summer of 2007 and reached systemic dimensions in September 2008 with the Lehman Brothers’ crash, took a new course. An adverse feedback loop between sovereign and bank risks reflected into bubble-like spreads, as if financial markets had received a wake-up call concerning the disregarded structural vulnerability of economies at risk. These events inspired the SYRTO project to “think and rethink the economic and financial system and to conceive it as an “ensemble of Sovereigns and Banks with other Financial Intermediaries and Corporations. Systemic Risk Tomography: Signals, Measurement and Transmission Channels proposes a novel way to explore the financial system by sectioning each part of it and analyzing all relevant inter-relationships. The financial system is inspected as a biological entity to identify the main risk signals and to provide the correct measures of prevention and intervention. Explores the economic and financial system of Sovereigns, Banks, other Financial Intermediaries, and Corporations Presents the financial system as a biological entity to be explored in order to identify the main risk signals and provide the right measures of prevention and interventions Offers a new, systemic-based approach to construct a hierarchical, internally coherent framework to be used in developing an effective early warning system

Topics in Statistical Simulation Book

Topics in Statistical Simulation

  • Author : V.B. Melas
  • Publisher : Springer
  • Release Date : 2014-12-05
  • Genre: Mathematics
  • Pages : 539
  • ISBN 10 : 9781493921041

Topics in Statistical Simulation Excerpt :

The Department of Statistical Sciences of the University of Bologna in collaboration with the Department of Management and Engineering of the University of Padova, the Department of Statistical Modelling of Saint Petersburg State University, and INFORMS Simulation Society sponsored the Seventh Workshop on Simulation. This international conference was devoted to statistical techniques in stochastic simulation, data collection, analysis of scientific experiments, and studies representing broad areas of interest. The previous workshops took place in St. Petersburg, Russia in 1994, 1996, 1998, 2001, 2005, and 2009. The Seventh Workshop took place in the Rimini Campus of the University of Bologna, which is in Rimini’s historical center.

Rethinking Randomness Book

Rethinking Randomness

  • Author : Jeffrey Buzen
  • Publisher : CreateSpace
  • Release Date : 2015-08-21
  • Genre: Uncategoriezed
  • Pages : 330
  • ISBN 10 : 1508435987

Rethinking Randomness Excerpt :

Mathematical models based on stochastic processes have proven surprisingly accurate in many situations where their underlying assumptions are unlikely to be correct. Rethinking Randomness introduces an alternative characterization of randomness and a new modeling framework that together explain the improbable success of these probabilistic models. The new approach, known as observational stochastics, is derived from "back of the envelope" methods employed routinely by engineers, experimental scientists and systems oriented practitioners working in many fields. By formalizing and extending these intuitive techniques, observational stochastics provides an entirely rigorous alternative to traditional mathematical theory that leads to vastly simpler derivations of certain major results and a deeper understanding of their true significance. Students who encounter probabilistic models in their courses in the physical, social and system sciences should find this book particularly helpful in understanding how the material they are studying in class is actually applied in practice. And because all mathematical arguments are self-contained and relatively straightforward, technically oriented non-specialists who wish to explore the connection between probability theory and the physical world should find most of the material in this book readily accessible. Most chapters are structured around a series of examples, beginning with the simplest possible cases and then extending the analysis in multiple directions. Powerful generalized results are presented only after simpler cases have been introduced and explained thoroughly. Readers who choose to bypass the mathematically complex sections of this book can still use these simpler examples to obtain a clear understanding of the basic principles involved. The most extensive series of examples appear in Chapter 7, which incorporates a "mini course" on queuing theory and its applications to Computer Science. The author's first hand a

Rethinking Real Estate Book

Rethinking Real Estate

  • Author : Dror Poleg
  • Publisher : Springer Nature
  • Release Date : 2019-10-31
  • Genre: Business & Economics
  • Pages : 306
  • ISBN 10 : 9783030134464

Rethinking Real Estate Excerpt :

Technology is revolutionizing the way real estate is designed, operated, and valued. It is democratizing access to capital and information, changing the way tenants use space, and eroding the power of regulation. Billions of dollars are funding these new real estate technologies and operating models. Value is shifting away from the assets themselves toward those who understand the needs of specific end-users and can use technology to deliver comprehensive, on-demand solutions. With all of these developments, there is an urgent need for a resource that helps industry practitioners think differently about their investment, customers, and competition. Rethinking Real Estate answers that call. It explores the impact of technology on all asset types — from retail projects, through lodging and residential properties, to office buildings and industrial facilities. Based on the author’s two decades of experience working across four continents alongside the world’s leading real estate investors, as well as hundreds of conversations with start-up founders and venture capitalists, this book provides practitioners with key insights, methodologies, and practical strategies to identify risks, take advantage of emerging opportunities, evaluate new competitors, and transform their organization, project, venture, or career. Whether you are an investor, developer, operator, broker, lender, facility manager, designer, planner, or technology entrepreneur, this book will help you navigate the exciting period ahead.

The Risk Modeling Evaluation Handbook  Rethinking Financial Risk Management Methodologies in the Global Capital Markets Book

The Risk Modeling Evaluation Handbook Rethinking Financial Risk Management Methodologies in the Global Capital Markets

  • Author : Greg N. Gregoriou
  • Publisher : McGraw Hill Professional
  • Release Date : 2010-02-12
  • Genre: Business & Economics
  • Pages : 528
  • ISBN 10 : 9780071663717

The Risk Modeling Evaluation Handbook Rethinking Financial Risk Management Methodologies in the Global Capital Markets Excerpt :

Addresses newly exposed weaknesses of financial risk models in the context of market stress scenarios This will be the definitive book for readers looking to improve their approach to modeling financial risk

The Value of Everything Book
Score: 4.5
From 5 Ratings

The Value of Everything

  • Author : Mariana Mazzucato
  • Publisher : Penguin UK
  • Release Date : 2018-04-26
  • Genre: Business & Economics
  • Pages : 384
  • ISBN 10 : 9780241188828

The Value of Everything Excerpt :

Who really creates wealth in our world? And how do we decide the value of what they do? At the heart of today's financial and economic crisis is a problem hiding in plain sight. In modern capitalism, value-extraction - the siphoning off of profits, from shareholders' dividends to bankers' bonuses - is rewarded more highly than value-creation: the productive process that drives a healthy economy and society. We misidentify takers as makers, and have lost sight of what value really means. Once a central plank of economic thought, this concept of value - what it is, why it matters to us - is simply no longer discussed. Yet, argues Mariana Mazzucato in this penetrating and passionate new book, if we are to reform capitalism - to radically transform an increasingly sick system rather than continue feeding it - we urgently need to rethink where wealth comes from. Who is creating it, who is extracting it, and who is destroying it? Answers to these questions are key if we want to replace the current parasitic system with a type of capitalism that is more sustainable, more symbiotic: that works for us all. The Value of Everything will reignite a long-needed debate about the kind of world we really want to live in.

Competing in the Age of AI Book

Competing in the Age of AI

  • Author : Marco Iansiti
  • Publisher : Harvard Business Press
  • Release Date : 2020-01-07
  • Genre: Business & Economics
  • Pages : 288
  • ISBN 10 : 9781633697638

Competing in the Age of AI Excerpt :

"a provocative new book" -- The New York Times AI-centric organizations exhibit a new operating architecture, redefining how they create, capture, share, and deliver value. Marco Iansiti and Karim R. Lakhani show how reinventing the firm around data, analytics, and AI removes traditional constraints on scale, scope, and learning that have restricted business growth for hundreds of years. From Airbnb to Ant Financial, Microsoft to Amazon, research shows how AI-driven processes are vastly more scalable than traditional processes, allow massive scope increase, enabling companies to straddle industry boundaries, and create powerful opportunities for learning--to drive ever more accurate, complex, and sophisticated predictions. When traditional operating constraints are removed, strategy becomes a whole new game, one whose rules and likely outcomes this book will make clear. Iansiti and Lakhani: Present a framework for rethinking business and operating models Explain how "collisions" between AI-driven/digital and traditional/analog firms are reshaping competition, altering the structure of our economy, and forcing traditional companies to rearchitect their operating models Explain the opportunities and risks created by digital firms Describe the new challenges and responsibilities for the leaders of both digital and traditional firms Packed with examples--including many from the most powerful and innovative global, AI-driven competitors--and based on research in hundreds of firms across many sectors, this is your essential guide for rethinking how your firm competes and operates in the era of AI.

Rethinking Competitive Advantage Book

Rethinking Competitive Advantage

  • Author : Ram Charan
  • Publisher : Unknown
  • Release Date : 2021-04-06
  • Genre: Business & Economics
  • Pages : 224
  • ISBN 10 : 9780525575603

Rethinking Competitive Advantage Excerpt :

The book dissects the changing nature of competitive advantage, illustrating what it takes for companies - old and new alike - to compete against digital giants like Amazon, Alibaba, and Google. In today's business world, good strategy isn't just about preserving market share or building moats to ward off competitors. In the digital age, the most successful companies look at everything through a single lens: How can we create a better end-to-end consumer experience? Filled with behind-the-scenes stories the book highlights the tools companies have relied on to reimagine customer experience and build competitive advantage: platform, data, and ecosystem