финансовые инструменты (страница 4)

Автор: Donatella della Porta

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Автор: Группа авторов

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Автор: Doug Lowe

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Автор: Tiana Laurence

Get a grip on NFTs and learn how to get in the game  It’s not often that a brand-new investment comes along that revolutionizes how we buy and sell digital assets. But that’s what non-fungible tokens (NFTs) did. Built on blockchain tech, NFTs are shaking up the world of digital commodity investing. And you can get your slice of the pie before everyone jumps into the arena.  In  NFTs For Dummies , you’ll find straightforward answers to critical aspects of the NFT phenomenon. You’ll learn exactly what non-fungible tokens really are, how you can find them, and even how to create your own valuable NFTs. You’ll also discover:  How to find reliable and safe NFT marketplaces where you can be sure you’re dealing with reputable buyers and sellers A peek behind the NFT curtain to see how NFTs work and what, exactly, you own when you buy or make an NFT Discussions of the kinds of digital properties that can be converted into an NFT Perfect for anyone who wants to learn about the market for buying, selling, and creating crypto collectibles,  NFTs For Dummies  is the only resource you’ll need to get a handle on this cutting-edge tech and start making it work for you.

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Автор: Daniel J. Duffy

This book is a detailed and step-by-step introduction to the mathematical foundations of ordinary and partial differential equations, their approximation by the finite difference method and applications to computational finance. The book is structured so that it can be read by beginners, novices and expert users. Part A Mathematical Foundation for One-Factor Problems Chapters 1 to 7 introduce the mathematical and numerical analysis concepts that are needed to understand the finite difference method and its application to computational finance. Part B Mathematical Foundation for Two-Factor Problems Chapters 8 to 13 discuss a number of rigorous mathematical techniques relating to elliptic and parabolic partial differential equations in two space variables. In particular, we develop strategies to preprocess and modify a PDE before we approximate it by the finite difference method, thus avoiding ad-hoc and heuristic tricks. Part C The Foundations of the Finite Difference Method (FDM) Chapters 14 to 17 introduce the mathematical background to the finite difference method for initial boundary value problems for parabolic PDEs. It encapsulates all the background information to construct stable and accurate finite difference schemes. Part D Advanced Finite Difference Schemes for Two-Factor Problems Chapters 18 to 22 introduce a number of modern finite difference methods to approximate the solution of two factor partial differential equations. This is the only book we know of that discusses these methods in any detail. Part E Test Cases in Computational Finance Chapters 23 to 26 are concerned with applications based on previous chapters. We discuss finite difference schemes for a wide range of one-factor and two-factor problems. This book is suitable as an entry-level introduction as well as a detailed treatment of modern methods as used by industry quants and MSc/MFE students in finance. The topics have applications to numerical analysis, science and engineering. More on computational finance and the author’s online courses, see www.datasim.nl.

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Автор: Paul Ginsborg

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Автор: Colin Turfus

Stress-test financial models and price credit instruments with confidence and efficiency using the perturbation approach taught in this expert volume   Perturbation Methods in Credit Derivatives: Strategies for Efficient Risk Management  offers an incisive examination of a new approach to pricing credit-contingent financial instruments. Author and experienced financial engineer Dr. Colin Turfus has created an approach that allows model validators to perform rapid benchmarking of risk and pricing models while making the most efficient use possible of computing resources.  The book provides innumerable benefits to a wide range of quantitative financial experts attempting to comply with increasingly burdensome regulatory stress-testing requirements, including:  Replacing time-consuming Monte Carlo simulations with faster, simpler pricing algorithms for front-office quants Allowing CVA quants to quantify the impact of counterparty risk, including wrong-way correlation risk, more efficiently Developing more efficient algorithms for generating stress scenarios for market risk quants Obtaining more intuitive analytic pricing formulae which offer a clearer intuition of the important relationships among market parameters, modelling assumptions and trade/portfolio characteristics for traders The methods comprehensively taught in  Perturbation Methods   in Credit Derivatives  also apply to CVA/DVA calculations and contingent credit default swap pricing.

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Автор: Jon G. Gluyas

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Автор: Carl R. Bacon

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Автор: Carl R. Bacon

Explore different measures of ex-post risk-adjusted performance measurement and learn to choose the correct one  In the newly revised Second Edition of  Practical Risk-Adjusted Performance Measurement , accomplished risk and investment expert Carl R. Bacon delivers an insightful, accessible, and real-world guide to ex-post risk measurement. The author bridges the gap between theory and practice, showing you how to apply the former to the latter without introducing unnecessary mathematical complexity.  The book describes the fundamentals of risk in the asset management context and the descriptive statistics used to describe it. It builds on that foundation with detailed examinations of concepts like regression, drawdown, and partial moments, before moving on to topics like fixed income risk and Prospect Theory.  With helpful additions that include recently developed measures of risk, supplementary explanatory sections, and six brand-new chapters, this book also offers:  A practical classification of all ex-post risk measures and how they connect to one another An explanation of how risk-adjusted performance measures impact performance fees A discussion of risk measure dashboard designs Instructions on how appraisal measures should be used for manager selection Perfect for portfolio managers, asset owners, risk controllers, and investment performance analysts,  Practical Risk-Adjusted Performance Measurement  is an indispensable resource for anyone looking for a hands-on exploration of the buy-side, asset management perspective.

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Автор: Phodidas Ndamyumugabe

En solo cien d?as de 1994, extremistas hutus masacraron a m?s de un mill?n de tutsis en Ruanda. Ante una matanza tan atroz, un joven adventista tutsi se neg? a quebrantar los mandamientos de la Biblia. Como con Daniel y sus tres amigos, Dios intervino vez tras vez, no solo para salvarle la vida, sino tambi?n para darle la oportunidad de testificar en el proceso.

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Автор: Группа авторов

Principles in Microbiome Engineering Provides an overview of the techniques and applications insight into the complex composition and interactions of microbiomes Microbiomes, the communities of microorganisms that inhabit specific ecosystems or organisms, can be engineered to modify the structure of microbiota and reestablish ecological balance. In recent years, a better understanding of microbial composition and host-microbe interactions has led to the development of new applications for improving human health and increasing agricultural productivity and quality. Principles in Microbiome Engineering introduces readers to the tools and applications involved in manipulating the composition of a microbial community to improve the function of an eco-system. Covering a range of key topics, this up-to-date volume discusses current research in areas such as microbiome-based therapeutics for human diseases, crop plant breeding, animal husbandry, soil engineering, food and beverage applications, and more. Divided into three sections, the text first describes the critical roles of systems biology, synthetic biology, computer modelling, and machine learning in microbiome engineering. Next, the volume explores various state-of-the-art applications, including cancer immunotherapy and prevention of diseases associated with the human microbiome, followed by a concluding section offering perspectives on the future of microbiome engineering and potential applications. Introduces a variety of applications of microbiome engineering in the fields of medicine, agriculture, and food and beverage products Presents current research into the complex interactions and relationships between microbiomes and biotic and abiotic elements of their environments Examines the use of technologies such as Artificial Intelligence (AI), Machine Learning (ML), and Big Data analytics to advance understanding of microbiomes Discusses the engineering of microbiomes to address human health conditions such as neuro psychiatric disorders and autoimmune and inflammatory diseases Edited and authored by leading researchers in the rapidly evolving field, Principles in Microbiome Engineering is an essential resource for biotechnologists, biochemists, microbiologists, pharmacologists, and practitioners working in the biotechnology and pharmaceutical industries.

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Автор: Jason A. Scharfman

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Автор: Anatoly Kondratenko

This monograph presents the foundations of the probabilistic theory of stock exchanges, built on the basis of probabilistic economic theory. Analytical and numerical methods of this theory are used for calculation of temporal dynamics of market prices and trade volumes of various assets on the Moscow Exchange and Intercontinental Exchange Futures Europe during one trading session and a detailed comparison of the theoretical results with the corresponding experimental data. This comparison demonstrates a good agreement between the theory and experiment, which allows us to assert that the main scientif ic problem of this study is solved inthe monograph, namely, it is shown that probabilistic economic theory finds its experimental confirmation and thereby acquires its solid experimental justification.This monograph may seem interesting to everyone who is engaged in research ineconomics, finance, econophysics or physical economics, as well as to professional investors and stock traders.

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Автор: Donny C. F. Lai

"Professional Financial Computing Using Excel and VBA is an admirable exposition that bridges the theoretical underpinnings of financial engineering and its application which usually appears as a «black-box» software application. The book opens the black-box and reveals the architecture of risk-modeling and financial engineering based on industry-standard stochastic models by utilizing Excel and VBA functionality to create a robust and practical modeling tool-kit. Financial engineering professionals who purchase this book will have a jumpstart advantage for their customized financial engineering and modeling needs." Dr. Cameron Wicentowich Vice President, Treasury Analytics Canadian Imperial Bank of Commerce (CIBC) «Spreadsheet modeling for finance has become a standard course in the curriculum of many Quantitative Finance programs since the Excel-based Visual Basic programming is now widely used in constructing optimal portfolios, pricing structured products and managing risks. Professional Financial Computing Using Excel and VBA is written by a unique team of finance, physics and computer academics and practitioners. It is a good reference for those who are studying for a Masters degree in Financial Engineering and Risk Management. It can also be useful for financial engineers to jump-start a project on designing structured products, modeling interest term structure or credit risks.» Dr. Jin Zhang Director of Master of Finance Program and Associate Professor The University of Hong Kong «Excel has been one of the most powerful tools for financial planning and computing over the last few years. Most users utilize a fraction of its capabilities. One of the reasons is the limited availability of books that cover the advanced features of Excel for Finance. Professional Financial Computing Using Excel and VBA goes the extra mile and deals with the Excel tools many professionals call for. This book is a must for professionals or students dealing with financial engineering, financial risk management, computational finance or mathematical finance. I loved the way the authors covered the material using real life, hands-on examples.» Dr. Isaac Gottlieb Temple University Author, Next Generation Excel: Modeling in Excel for Analysts and MBAs

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Автор: Steve Bell

An accessible, thorough introduction to quantitative finance Does the complex world of quantitative finance make you quiver? You're not alone! It's a tough subject for even high-level financial gurus to grasp, but Quantitative Finance For Dummies offers plain-English guidance on making sense of applying mathematics to investing decisions. With this complete guide, you'll gain a solid understanding of futures, options and risk, and get up-to-speed on the most popular equations, methods, formulas and models (such as the Black-Scholes model) that are applied in quantitative finance. Also known as mathematical finance, quantitative finance is the field of mathematics applied to financial markets. It's a highly technical discipline—but almost all investment companies and hedge funds use quantitative methods. This fun and friendly guide breaks the subject of quantitative finance down to easily digestible parts, making it approachable for personal investors and finance students alike. With the help of Quantitative Finance For Dummies, you'll learn the mathematical skills necessary for success with quantitative finance, the most up-to-date portfolio and risk management applications and everything you need to know about basic derivatives pricing. Covers the core models, formulas and methods used in quantitative finance Includes examples and brief exercises to help augment your understanding of QF Provides an easy-to-follow introduction to the complex world of quantitative finance Explains how QF methods are used to define the current market value of a derivative security Whether you're an aspiring quant or a top-tier personal investor, Quantitative Finance For Dummies is your go-to guide for coming to grips with QF/risk management.

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Автор: Steve Bell

No passion, no conversation. No conversation, no word of mouth. No word of mouth, no successful business. If you think you are in the marketing business, think again. You’re in the people business, and The Passion Conversation teaches you how to get people to fall passionately and madly in love with your organization or cause. The author’s mash-up of the latest in wonky academic research with practical, real-world stories shows how any business can spark and sustain word of mouth marketing. Readers learn how loving your customers results in not just building a thriving community, but also driving meaningful conversations, ultimately impacting the financial success of a business. The Passion Conversation will change your perspective on marketing by: Explaining the three motivations for people to talk about businesses and causes Detailing how every marketing problem is a people problem in disguise Giving heartfelt evidence that marketing materials are now conversation tools Showing how customer communities sustain word of mouth while also sparking financial impact Helping your business apply these marketing lessons through a series of workbook exercises called "Passion Explorations" The time is now for marketers and businesses to go beyond the product conversation to understanding, sparking and sustaining the passion conversation for why your business is in business.

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Автор: Ernest P. Chan

Master the lucrative discipline of quantitative trading with this insightful handbook from a master in the field In the newly revised Second Edition of Quantitative Trading: How to Build Your Own Algorithmic Trading Business , quant trading expert Dr. Ernest P. Chan shows you how to apply both time-tested and novel quantitative trading strategies to develop or improve your own trading firm. You'll discover new case studies and updated information on the application of cutting-edge machine learning investment techniques, as well as: Updated back tests on a variety of trading strategies, with included Python and R code examples A new technique on optimizing parameters with changing market regimes using machine learning. A guide to selecting the best traders and advisors to manage your money Perfect for independent retail traders seeking to start their own quantitative trading business, or investors looking to invest in such traders, this new edition of Quantitative Trading will also earn a place in the libraries of individual investors interested in exploring a career at a major financial institution.

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Автор: Andrew E. Baum

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Автор: Terje Aven

Risk Analysis, Second Edition Terje Aven, University of Stavanger, Norway A practical guide to the varied challenges presented in the ever-growing field of risk analysis. Risk Analysis presents an accessible and concise guide to performing risk analysis, in a wide variety of field, with minimal prior knowledge required. Forming an ideal companion volume to Aven's previous Wiley text Foundations of Risk Analysis, it provides clear recommendations and guidance in the planning, execution anduse of risk analysis. This new edition presents recent developments related to risk conceptualization, focusing on related issues on risk assessment and their application. New examples are also featured to clarify the reader's understanding in the application of risk analysis and the risk analysis process. Key features: Fully updated to include recent developments related to risk conceptualization and related issues on risk assessments and their applications. Emphasizes the decision making context of risk analysis rather than just computing probabilities Demonstrates how to carry out predictive risk analysis using a variety of case studies and examples. Written by an experienced expert in the field, in a style suitable for both industrial and academic audiences. This book is ideal for advanced undergraduates, graduates, analysts and researchers from statistics, engineering, finance, medicine and physical sciences. Managers facing decision making problems involving risk and uncertainty will also benefit from this book.

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Автор: Jean-Paul Bravard

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Автор: Группа авторов

The digital world is characterized by its immediacy, its density of information and its omnipresence, in contrast to the concrete world. Significant changes will occur in our society as AI becomes integrated into many aspects of our lives. This book focuses on this vision of universalization by dealing with the development and framework of AI applicable to all. It develops a moral framework based on a neo-Darwinian approach – the concept of Ethics by Evolution – to accompany AI by observing a certain number of requirements, recommendations and rules at each stage of design, implementation and use. The societal responsibility of artificial intelligence is an essential step towards ethical, eco-responsible and trustworthy AI, aiming to protect and serve people and the common good in a beneficial way.

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Автор: Ted Kwartler

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Автор: Jiju Antony

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Автор: Campbell R. Harvey

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Автор: Группа авторов

This book provide a series of designs, materials, characterization and modeling, that will help create safer and stronger structures in coastal areas. The authors take a look at the different materials (porous, heterogeneous, concrete…), the moisture transfers in construction materials as well as the degradation caused by external attacks and put forth systems to monitor the structures or evaluate the performance reliability as well as degradation scenarios of coastal protection systems

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Автор: Jonathan W. Steed

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Автор: Shin Horie

Discover a one-of-a-kind blueprint to equity analyst success from an industry leader In Survival Kit for an Equity Analyst: The Essentials You Must Know , veteran analyst Shin Horie delivers a must-read, practical guide on the analysis of companies and industries. The book offers a guide to conducting industry-level analysis from a global perspective, with a particular emphasis on adjustments necessary for covering companies in emerging markets. Readers will also get: A robust background on the basic process flow of company analysis and valuation Guidelines for examining earnings drivers in major industries Tips on the qualitative profiling of companies and how to dig deeper to find nuance that financial statements don't express Perfect for early-career equity analysts themselves, as well as corporate managers who seek to understand how their organisations will be scrutinized and examined by finance professionals,  Survival Kit for an Equity Analyst offers readers an insightful narrative on the necessary ingredients for success in this demanding field.

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Автор: Группа авторов

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Автор: Brent Donnelly

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Автор: Paul-Jacques Lehmann

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Автор: Tim Walker

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Автор: Mark Mobius

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Автор: Agustin Lebron

Every decision is a trade. Learn to think about the ones you should do – and the ones you shouldn’t. Trading books generally break down into two categories: the ones which claim to teach you how to make money trading, and the memoir-style books recounting scandals and bad behavior. But the former don't have profitable trades to teach; if they did they'd keep those trades to themselves. And the latter are frequently entertaining, but they don't leave you with much you can apply in your own life. The Laws of Trading is different. All of our relationships and decisions involve trading at some level. This is a book about decision-making through the lens of a professional prop trader. For years, behavioral and cognitive scientists have shown us how human decision-making is flawed and biased. But how do you learn to avoid these problems in day-to-day decisions where you have to react in real-time? What are the important things to think about and to act on? The world needs a book by a prop trader who has lived, breathed and taught trading for a living, drawing upon years of insights on the trading floor in real markets, good and bad, whether going sideways, crashing, or bubbling over. If you can master the decision-making skills needed to profitably trade in modern markets, you can master decision-making in all walks of life. This book will teach you exactly those skills. Introduces, develops, and applies one law per chapter, making it easy not only to remember useful concepts, but also to have them at the ready in any situation. Shows you how to find and think about the “special edge” of your organization, and yourself. Teaches you how to handle the interaction of people with artificially intelligent (AI) machines that make decisions, a skill that is rapidly becoming essential in the AI-driven economy of the future. Includes a «bonus» digital ancillary, an Excel spreadsheet with various worked examples that expand on the scenarios described in the book. Do you need to make rational decisions in a competitive environment? Almost everyone does. This book will teach you the tools that let you do your job better.

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Автор: Peter C. Oppenheimer

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Автор: Группа авторов

Today's market participants have a myriad of tools at their disposal. Yet the success rate is that of old – 80% to 90% of traders fail to achieve their financial goals. This book shows traders how to get their investment act together. It covers in detail the three requirements needed for success: Winning psychology, effective money management and a written trading plan with an edge. The Nature of Trends also provides unique tools (for example the MIDAS tool) that provide low risk trade entry by telling the trader the level at which an entry may be safely effected Finally, the book provides the «Rule of 3» to manage a trade. These rules allow the trader to take profits and hold on for long-term profits without increasing risk.

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Автор: Tamara Sakovska

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Автор: Janos Barberis

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Автор: Riccardo Rebonato

This book presents a major innovation in the interest rate space. It explains a financially motivated extension of the LIBOR Market model which accurately reproduces the prices for plain vanilla hedging instruments (swaptions and caplets) of all strikes and maturities produced by the SABR model. The authors show how to accurately recover the whole of the SABR smile surface using their extension of the LIBOR market model. This is not just a new model, this is a new way of option pricing that takes into account the need to calibrate as accurately as possible to the plain vanilla reference hedging instruments and the need to obtain prices and hedges in reasonable time whilst reproducing a realistic future evolution of the smile surface. It removes the hard choice between accuracy and time because the framework that the authors provide reproduces today's market prices of plain vanilla options almost exactly and simultaneously gives a reasonable future evolution for the smile surface. The authors take the SABR model as the starting point for their extension of the LMM because it is a good model for European options. The problem, however with SABR is that it treats each European option in isolation and the processes for the various underlyings (forward and swap rates) do not talk to each other so it isn't obvious how to relate these processes into the dynamics of the whole yield curve. With this new model, the authors bring the dynamics of the various forward rates and stochastic volatilities under a single umbrella. To ensure the absence of arbitrage they derive drift adjustments to be applied to both the forward rates and their volatilities. When this is completed, complex derivatives that depend on the joint realisation of all relevant forward rates can now be priced. Contents THE THEORETICAL SET-UP The Libor Market model The SABR Model The LMM-SABR Model IMPLEMENTATION AND CALIBRATION Calibrating the LMM-SABR model to Market Caplet prices Calibrating the LMM/SABR model to Market Swaption Prices Calibrating the Correlation Structure EMPIRICAL EVIDENCE The Empirical problem Estimating the volatility of the forward rates Estimating the correlation structure Estimating the volatility of the volatility HEDGING Hedging the Volatility Structure Hedging the Correlation Structure Hedging in conditions of market stress

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Автор: Robert D. Knapp

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Автор: Stuart E. Lucas

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Автор: Гарриет Бичер-Стоу

Исполнители: Sam Kusi

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Автор: David J. Pittenger

Explore the essential steps for data collection, reporting, and analysis in business research Understanding Business Research offers a comprehensive introduction to the entire process of designing, conducting, interpreting, and reporting findings in the business environment. With an emphasis on the human factor, the book presents a complete set of tools for tackling complex behavioral and social processes that are a part of data collection in industry settings. Utilizing numerous real-world examples throughout, the authors begin by presenting an overview of the research process, outlining key ideas relating to the business environment, ethics, and empirical methods. Quantitative techniques and considerations that are specific to business research, including sampling and the use of assessments, surveys, and objective measures are also introduced. Subsequent chapters outline both common and specialized research designs for business data, including: Correlational Research Single Variable Between-Subjects Research Correlated Groups Designs Qualitative and Mixed-Method Research Between-Subjects Designs Between-Subjects Factorial Designs Research with Categorical Data Each chapter is organized using an accessible, comprehensive pedagogy that ensures a fluid presentation. Case studies showcase the real-world applications of the discussed topics while critical thinking exercises and Knowledge Checks supply questions that allow readers to test their comprehension of the presented material. Numerous graphics illustrate the visual nature of the research, and chapter-end glossaries outline definitions of key terms. In addition, detailed appendices provide a review of basic concepts and the most commonly used statistical tables. Requiring only a basic understanding of statistics, Understanding Business Research is an excellent book for courses on business statistics as well as business and management science research methods at the graduate level. The book is also a valuable resource for practitioners in business, finance, and management science who utilize qualitative and quantitative research methods in their everyday work.

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Автор: Marine Habart-Corlosquet

With the impact of the recent financial crises, more attention must be given to new models in finance rejecting “Black-Scholes-Samuelson” assumptions leading to what is called non-Gaussian finance. With the growing importance of Solvency II, Basel II and III regulatory rules for insurance companies and banks, value at risk (VaR) – one of the most popular risk indicator techniques plays a fundamental role in defining appropriate levels of equities. The aim of this book is to show how new VaR techniques can be built more appropriately for a crisis situation. VaR methodology for non-Gaussian finance looks at the importance of VaR in standard international rules for banks and insurance companies; gives the first non-Gaussian extensions of VaR and applies several basic statistical theories to extend classical results of VaR techniques such as the NP approximation, the Cornish-Fisher approximation, extreme and a Pareto distribution. Several non-Gaussian models using Copula methodology, L?vy processes along with particular attention to models with jumps such as the Merton model are presented; as are the consideration of time homogeneous and non-homogeneous Markov and semi-Markov processes and for each of these models. Contents 1. Use of Value-at-Risk (VaR) Techniques for Solvency II, Basel II and III. 2. Classical Value-at-Risk (VaR) Methods. 3. VaR Extensions from Gaussian Finance to Non-Gaussian Finance. 4. New VaR Methods of Non-Gaussian Finance. 5. Non-Gaussian Finance: Semi-Markov Models. About the Authors Marine Habart-Corlosquet is a Qualified and Certified Actuary at BNP Paribas Cardif, Paris, France. She is co-director of EURIA (Euro-Institut d’Actuariat, University of West Brittany, Brest, France), and associate researcher at Telecom Bretagne (Brest, France) as well as a board member of the French Institute of Actuaries. She teaches at EURIA, Telecom Bretagne and Ecole Centrale Paris (France). Her main research interests are pandemics, Solvency II internal models and ALM issues for insurance companies. Jacques Janssen is now Honorary Professor at the Solvay Business School (ULB) in Brussels, Belgium, having previously taught at EURIA (Euro-Institut d’Actuariat, University of West Brittany, Brest, France) and Telecom Bretagne (Brest, France) as well as being a director of Jacan Insurance and Finance Services, a consultancy and training company. Raimondo Manca is Professor of mathematical methods applied to economics, finance and actuarial science at University of Roma “La Sapienza” in Italy. He is associate editor for the journal Methodology and Computing in Applied Probability. His main research interests are multidimensional linear algebra, computational probability, application of stochastic processes to economics, finance and insurance and simulation models.

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Автор: Loa Baastrup

Have you ever felt stuck with methods, tools and skills that do not match the increasing complexity you are part of? Would you like to work in new ways that strengthen thinking, communication and collaboration? Visual Collaboration introduces a new and innovative way of working and collaborating that will help you successfully manage complexity for yourself, your team, and your entire organization. The method of this book unlocks any team's ability to collaborate in complex projects and processes. By using a systematic and proven approach to drawing and visualizing. Visual Collaboration is a unique visual business book that will enable you to develop visual languages to fit any scenario, create engaging and powerful questions to assist your visual process design and turn a white canvas into a visual template that can improve any meeting, project, or process. The core of the book – a practical and easy-to-follow method – THE FIVE BUILDING BLOCKS will most likely become your preferred way of working. The method is supported by plentiful examples, 4-color drawing, chapter summaries, and clearly defined learning objectives. Enjoyable and powerful, this book will help you: Use visualization as a tool to explore opportunities and challenges Translate complex concepts into easy-to-understand actions Engage employees and team members with effective strategic processes Incorporate drawing into your strategic organizational toolbox to strengthen communication and collaboration Develop and apply powerful visual literacy skills The authors , internationally-recognized experts in strategy communication and visual facilitation, have helped incorporate visual collaboration into more than 500 organizations such as LEGO, IKEA, the Red Cross, the United Nations, and many others. This book is the must-have resource for you to follow their example.

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