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Analytical Corporate Finance (Springer Texts in Business and Economics)
by Angelo CorelliThis book draws readers’ attention to the financial aspects of daily life at a corporation by combining a robust mathematical setting and the explanation and derivation of the most popular models of the firm. Intended for third-year undergraduate students of business finance, quantitative finance, and financial mathematics, as well as first-year postgraduate students, it is based on the twin pillars of theory and analytics, which merge in a way that makes it easy for students to understand the exact meaning of the concepts and their representation and applicability in real-world contexts. Examples are given throughout the chapters in order to clarify the most intricate aspects; where needed, there are appendices at the end of chapters, offering additional mathematical insights into specific topics. Due to the recent growth in knowledge demand in the private sector, practitioners can also profit from the book as a bridge-builder between university and industry. Lastly, the book provides useful information for managers who want to deepen their understanding of risk management and come to recognize what may have been lacking in their own systems.
Analytical Corporate Valuation: Fundamental Analysis, Asset Pricing, And Company Valuation
by Pasquale De LucaThis book integrates the models employed in the fundamental analysis of a company with the models used by investors in the capital markets to diversify risks and maximize expected returns. The underlying thesis is that the company creates value only if the return on capital invested exceeds the cost of capital, while the objective is to demonstrate how integration of the fields of corporate finance and asset pricing enables comprehensive and accurate company valuation. Companies can thrive only if they are able to create value for shareholders over time. A company’s value creation and the correct approach to its measurement require two main skills: first, the ability to analyze and evaluate the company’s fundamentals with respect to its business model and its performance over time; and second, knowledge of investors’ models with regard to risk diversification and return maximization from which the cost of capital for the firm is derived. Based on this perspective, the book combines rigorous quantitative analysis with effective use of graphics to aid intuitive understanding.
Analytical Decision Making and Data Envelopment Analysis: Advances and Challenges (Infosys Science Foundation Series)
by Farhad Hosseinzadeh Lotfi S. A. Edalatpanah Kristiaan Kerstens Peter WankeThis book explores the intersection of data envelopment analysis (DEA) and various analytical decision-making methodologies. Featuring contributions from experts in the field from across the world, each chapter delves into different aspects of DEA and its applications in real-world scenarios. The book covers a wide range of topics, including integrating DEA with machine learning techniques, performance evaluation in diverse sectors like banking and civil engineering, and using DEA in managerial decision-making. It also examines data mining during the Covid-19 pandemic and the application of blockchain and IoT in supply chain management. The book offers a deep dive into the evolution of nonparametric frontier methods and the development of new optimization algorithms, addressing the complexities of modern analytical decision-making tools.A few chapters delve into futuristic topics like fuzzy sets and their extensions in decision-making and exploring e-learning platforms for education. This book is an invaluable resource for researchers, practitioners and students interested in the latest DEA advancements and practical applications in various fields. Its multidisciplinary approach makes it a useful addition to the libraries of those seeking to understand the complexities and potentials of modern analytical decision-making tools.
Analytical Finance: The Mathematics of Interest Rate Derivatives, Markets, Risk and Valuation
by Jan R M RömanAnalytical Finance is a comprehensive introduction to the financial engineering of equity and interest rate instruments for financial markets. Developed from notes from the author’s many years in quantitative risk management and modeling roles, and then for the Financial Engineering course at Mälardalen University, it provides exhaustive coverage of vanilla and exotic mathematical finance applications for trading and risk management, combining rigorous theory with real market application.
Analytical Inventory Management and Optimization: Theories, Methods and Applications
by Majid Khan Majahar Ali Sani Rabiu Mohd Tahir IsmailIn this vital resource with discussion of and applicability to various industries, Ali, Rabiu, and Ismail guide readers through the challenging environment of inventory management and enable them to successfully balance the demand and supply of items in stock, a critical task in any field.The book covers a wide range of topics related to inventory management and optimization. After introducing the key concepts and principles of inventory management, such as inventory analytics, optimization, and models, the authors provide a comprehensive and in-depth understanding of various inventory control techniques that are essential for effective inventory management, such as ABC analysis, EOQ model, safety stock, and reorder point. They then introduce various mathematical models and optimization techniques such as system-level and item-level inventory analysis and show how to perform sensitivity analyses to test the robustness of these models. They then look at the role of inventory management in various industries such as supply chain management and logistics, manufacturing, and more; and address the effects and integration of cutting-edge technologies like artificial intelligence, machine learning, and robotics to conventional inventory management practices. Additional topics include inventory forecasting, inventory management systems, inventory auditing and control, risk management. In combining mathematical underpinnings in the area with practical case studies throughout, readers will gain a solid understanding of the real-world applications of these different techniques so that they can apply inventory management and optimization best practices in their workplace.The comprehensive coverage makes the book a valuable reference for practitioners and students, particularly postgraduate and MBA students, who require such insights to improve business functions and make informed decisions. Because it provides the foundational mathematical knowledge required to comprehend any chapter, it is also accessible for readers without a strong background in mathematics.
Analytical Issues in Debt
by Jacob A. Frenkel Peter Wickham Michael P. DooleyA report from the International Monetary Fund.
Analytical Issues in Trade, Development and Finance: Essays in Honour of Biswajit Chatterjee (India Studies in Business and Economics)
by Ambar Nath Ghosh Asim K. KarmakarThe book's 30 chapters are divided into three sections - international trade, economic development, macroeconomics and finance - and focus on the frontier issues in each. Section I addresses analytical issues relating to trade-environment linkage, capital accumulation for pollution abatement, possibility of technology diffusion by multinational corporations, nature of innovation inducing tariff protection, effects of import restriction and child labour, the links between exchange rate, direction of trade and financial crisis--the implications for India and global economic crisis, financial institutions and global capital flows and balance of payments imbalances. Section II consists of discussions on the causes of widespread poverty persisting in South Asia, development dividend associated with peace in South Asia, issues of well-being and human development, implications for endogenous growth through human capital accumulation on environmental quality and taxation, the rationale for a labour supply schedule for the poor, switching as an investment strategy, the role of government and strategic interaction in the presence of information asymmetry, government's role in controlling food inflation, inter-state variations in levels and growth of industry in India, structural breaks in India's service sector development, and the phenomenon of wasted votes in India's parliamentary elections. Section III deals with the effectiveness of monetary policy in tackling economic crisis, the effective demand model of corporate leverages and recession, the empirical link between stock market development and economic growth in cross-country experience in Asia, an empirical verification of the Mckinnon-Shaw hypothesis for financial development in India, the dynamics of the behaviour of the Indian stock market, efficiency of non-life insurance companies, econometric study of the causal linkage between FDI and current account balance in India and the implications of contagious crises for the Indian economy.
Analytical Methods for Risk Management: A Systems Engineering Perspective (Statistics: A Series of Textbooks and Monographs)
by Paul R. GarveyA Text on the Foundation Processes, Analytical Principles, and Implementation Practices of Engineering Risk ManagementDrawing from the author's many years of hands-on experience in the field, Analytical Methods for Risk Management: A Systems Engineering Perspectivepresents the foundation processes and analytical practices
Analytical Modeling Research in Fashion Business (Springer Series in Fashion Business)
by Tsan-Ming ChoiThis book includes both theoretical results and application cases of analytical modeling based research related to the fashion and textile business. It responds to calls for deeper theoretical foundations as an expansion of research methodology in a field that has to date mostly relied on case studies and empirical analysis. Although there are a growing number of related publications which employ an analytical approach in conducting theoretical and applied research in the fashion and textile business, this book fills an essential gap by providing a comprehensive reference source that introduces the methodology and provides state-of-the-art findings on the topic. Covering an important and well-established industry, Analytical Modeling Research in Fashion Business is a pioneering text and essential reading for researchers and practitioners in the fashion and textiles industry alike.
Analytical Peace Economics: The illusion of war for peace (Routledge Studies in Defence and Peace Economics)
by Partha Gangopadhyay Nasser ElkanjThe Middle East is at an unprecedented crossroads between the established Euro-centric system and the emerging Asian powerhouses like India and China. Their economies, policies and social structures are a half-way-house between these two dominant groups and are an important case study to examine in order to highlight future prospects and problems of the global system. The Middle East is an important missing piece in a huge global puzzle. This book makes a significant step towards understanding that puzzle and offers solutions for how to fully integrate this missing jigsaw piece into the global economic system. Analytical Peace Economics: The Illusion of War for Peace focuses on three critical issues in the Middle East that dominate discussions about their place in the global political economy: conflict, oil and (regional) development. Examining economic and social development in juxtaposition with conflict and peace, this book adapts, develops and applies historical, geographical, economic and psychological methods, creating a nuanced approach to the collective understanding of the economic and social dynamics in the region. By developing theoretical models and analysing empirical research, this book offers an economic analysis of the attempt to find peace through war and seeks to find alternative solutions. This book will be of interest to researchers, policy makers and doctoral students of economics, finance and social sciences as well as advanced undergraduate students of peace economics and development studies.
Analytical Political Economy (Surveys of Recent Research in Economics)
by Roberto Veneziani Luca ZamparelliOffering a unique picture of recent developments in a range of non-conventional theoretical approaches in economics, this book introduces readers to the study of Analytical Political Economy and the changes within the subject. Includes a wide range of topics and theoretical approaches that are critically and thoroughly reviewed Contributions within the book are written according to the highest standards of rigor and clarity that characterize academic work Provides comprehensive and well-organized surveys of cutting-edge empirical and theoretical work covering an exceptionally wide range of areas and fields Topics include macroeconomic theories of growth and distribution; agent-based and stock-flow consistent models; financialization and Marxian price and value theory Investigates exploitation theory; trade theory; the role of expectations and ‘animal spirits’ on macroeconomic performance as well as empirical research in Marxian economics
Analytical Skills for AI and Data Science: Building Skills for an AI-Driven Enterprise
by Daniel VaughanWhile several market-leading companies have successfully transformed their business models by following data- and AI-driven paths, the vast majority have yet to reap the benefits. How can your business and analytics units gain a competitive advantage by capturing the full potential of this predictive revolution? This practical guide presents a battle-tested end-to-end method to help you translate business decisions into tractable prescriptive solutions using data and AI as fundamental inputs.Author Daniel Vaughan shows data scientists, analytics practitioners, and others interested in using AI to transform their businesses not only how to ask the right questions but also how to generate value using modern AI technologies and decision-making principles. You’ll explore several use cases common to many enterprises, complete with examples you can apply when working to solve your own issues.Break business decisions into stages that can be tackled using different skills from the analytical toolboxIdentify and embrace uncertainty in decision making and protect against common human biasesCustomize optimal decisions to different customers using predictive and prescriptive methods and technologiesAsk business questions that create high value through AI- and data-driven technologies
Analytical Space: The Next Frontier?
by David Lane Thomas R. Eisenmann Jeffrey J. BussgangWith one satellite aloft and in the midst of beta testing in late 2018, Analytical Space founders Justin Oliveira and Dan Nevius turned to critical questions about the pioneering startup's go-to-market, pricing, and business development strategy. Analytical Space aimed to build and operate a constellation of inexpensive satellites that would receive and relay to the ground data gathered by orbiting Earth observation satellites, thereby speeding and increasing the amount of data their operators could collect and sell to clients in the multi-billion market for information on crops, weather, and other observable changes on Earth. The cofounders now needed to select the best initial customers, validate demand for their unique data relay service, and establish pricing that would both spur adoption and impress investors ahead of their next financing round.
Analytical Techniques in the Assessment of Credit Risk: An Overview of Methodologies and Applications (EURO Advanced Tutorials on Operational Research)
by Constantin Zopounidis Michalis Doumpos Christos Lemonakis Dimitrios NiklisThis book provides a unique, focused introduction to the analytical skills, methods and techniques in the assessment of credit risk that are necessary to tackle and analyze complex credit problems. It employs models and techniques from operations research and management science to investigate more closely risk models for applications within the banking industry and in financial markets. Furthermore, the book presents the advances and trends in model development and validation for credit scoring/rating, the recent regulatory requirements and the current best practices. Using examples and fully worked case applications, the book is a valuable resource for advanced courses in financial risk management, but also helpful to researchers and professionals working in financial and business analytics, financial modeling, credit risk analysis, and decision science.
Analytical Tools in Private Equity: Return Bridge
by Victoria Ivashina Abhijit TagadeThis note explains the rationale and derivation behind "return bridge," a key analytical tool used in the private equity industry to understand sources of value-add. The note elaborates on the advantages and the shortcomings of the return bridge.
Analytics Enabled Decision Making
by Vinod Sharma Chandan Maheshkar Jeanne PouloseAnalytics is changing the landscape of businesses across sectors globally. This has led to the stimulation of interest of scholars and practitioners worldwide in this domain. The emergence of ‘big data’, has fanned the usages of machine learning techniques and the acceptance of ‘Analytics Enabled Decision Making’. This book provides a holistic theoretical perspective combined with the application of such theories by drawing on the experiences of industry professionals and academicians from around the world. The book discusses several paradigms including pattern mining, clustering, classification, and data analysis to name a few. The main objective of this book is to offer insight into the process of decision-making that is accelerated and made more precise with the help of analytics.
Analytics Stories: Using Data to Make Good Things Happen
by Wayne L. WinstonInform your own analyses by seeing how one of the best data analysts in the world approaches analytics problems Analytics Stories: How to Make Good Things Happen is a thoughtful, incisive, and entertaining exploration of the application of analytics to real-world problems and situations. Covering fields as diverse as sports, finance, politics, healthcare, and business, Analytics Stories bridges the gap between the oft inscrutable world of data analytics and the concrete problems it solves. Distinguished professor and author Wayne L. Winston answers questions like: Was Liverpool over Barcelona the greatest upset in sports history? Was Derek Jeter a great infielder What's wrong with the NFL QB rating? How did Madoff keep his fund going? Does a mutual fund’s past performance predict future performance? What caused the Crash of 2008? Can we predict where crimes are likely to occur? Is the lot of the American worker improving? How can analytics save the US Republic? The birth of evidence-based medicine: How did James Lind know citrus fruits cured scurvy? How can I objectively compare hospitals? How can we predict heart attacks in real time? How does a retail store know if you're pregnant? How can I use A/B testing to improve sales from my website? How can analytics help me write a hit song? Perfect for anyone with the word “analyst” in their job title, Analytics Stories illuminates the process of applying analytic principles to practical problems and highlights the potential pitfalls that await careless analysts.
Analytics and Big Data for Accountants (AICPA)
by Jim LindellWhy is big data analytics one of the hottest business topics today? This book will help accountants and financial managers better understand big data and analytics, including its history and current trends. It dives into the platforms and operating tools that will help you measure program impacts and ROI, visualize data and business processes, and uncover the relationship between key performance indicators. Key topics covered include: Evidence-based techniques for finding or generating data, selecting key performance indicators, isolating program effects Relating data to return on investment, financial values, and executive decision making Data sources including surveys, interviews, customer satisfaction, engagement, and operational data Visualizing and presenting complex results
Analytics and Big Data: The Davenport Collection
by D. J. Patil Thomas H. Davenport Jinho Kim Jeanne G. Harris Robert MorisonThe Analytics and Big Data collection offers a “greatest hits” digital compilation of ideas from world-renowned thought leader Thomas Davenport, who helped popularize the terms analytics and big data in the workplace. An agile and prolific thinker, Davenport has written or coauthored more than a dozen bestselling books. Several of these titles are offered together for the first time in this curated digital bundle, including: Big Data at Work, Competing on Analytics, Analytics at Work, and Keeping Up with the Quants. The collection also includes Davenport’s popular Harvard Business Review articles, “Data Scientist: The Sexiest Job of the 21st Century” (2012) and “Analytics 3.0” (2013). Combined, these works cover all the bases on analytics and big data: what each term means; the ramifications of each from a technical, consumer, and management perspective; and where each can have the biggest impact on your business. Whether you’re an executive, a manager, or a student wanting to learn more, Analytics and Big Data is the most comprehensive collection you’ll find on the ever-growing phenomenon of digital data and analysis—and how you can make this rising business trend work for you. Named one of the ten “Masters of the New Economy” by CIO magazine, Thomas Davenport has helped hundreds of companies revitalize their management practices. He combines his interests in research, teaching, and business management as the President’s Distinguished Professor of Information Technology & Management at Babson College. Davenport has also taught at Harvard Business School, the University of Chicago, Dartmouth’s Tuck School of Business, and the University of Texas at Austin and has directed research centers at Accenture, McKinsey & Company, Ernst & Young, and CSC.
Analytics and Business Performance: Transforming the Ability to Compete on Analytics into a Lasting Competitive Advantage
by Thomas H. Davenport Jeanne G. HarrisThis chapter explores the links between the extensive use of analytics and business performance, describing how several highly successful companies have transformed their ability to compete analytically into a key point of differentiation and long-term competitive advantage. This chapter was originally published as Chapter 3 of "Competing on Analytics."
Analytics and Dynamic Customer Strategy
by John F. Tanner Jr.Key decisions determine the success of big data strategyDynamic Customer Strategy: Big Profits from Big Data is a comprehensive guide to exploiting big data for both business-to-consumer and business-to-business marketing. This complete guide provides a process for rigorous decision making in navigating the data-driven industry shift, informing marketing practice, and aiding businesses in early adoption. Using data from a five-year study to illustrate important concepts and scenarios along the way, the author speaks directly to marketing and operations professionals who may not necessarily be big data savvy. With expert insight and clear analysis, the book helps eliminate paralysis-by-analysis and optimize decision making for marketing performance.Nearly seventy-five percent of marketers plan to adopt a big data analytics solution within two years, but many are likely to fail. Despite intensive planning, generous spending, and the best intentions, these initiatives will not succeed without a manager at the helm who is capable of handling the nuances of big data projects. This requires a new way of marketing, and a new approach to data. It means applying new models and metrics to brand new consumer behaviors. Dynamic Customer Strategy clarifies the situation, and highlights the key decisions that have the greatest impact on a company's big data plan. Topics include:Applying the elements of Dynamic Customer StrategyAcquiring, mining, and analyzing dataMetrics and models for big data utilizationShifting perspective from model to customerBig data is a tremendous opportunity for marketers and may just be the only factor that will allow marketers to keep pace with the changing consumer and thus keep brands relevant at a time of unprecedented choice. But like any tool, it must be wielded with skill and precision. Dynamic Customer Strategy: Big Profits from Big Data helps marketers shape a strategy that works.
Analytics at Work
by Thomas H. Davenport Jeanne G. Harris Robert MorisonMost companies have massive amounts of data at their disposal, yet fail to utilize it in any meaningful way. But a powerful new business tool - analytics - is enabling many firms to aggressively leverage their data in key business decisions and processes, with impressive results.In their previous book, Competing on Analytics, Thomas Davenport and Jeanne Harris showed how pioneering firms were building their entire strategies around their analytical capabilities. Rather than "going with the gut" when pricing products, maintaining inventory, or hiring talent, managers in these firms use data, analysis, and systematic reasoning to make decisions that improve efficiency, risk-management, and profits.Now, in Analytics at Work, Davenport, Harris, and coauthor Robert Morison reveal how any manager can effectively deploy analytics in day-to-day operations-one business decision at a time. They show how many types of analytical tools, from statistical analysis to qualitative measures like systematic behavior coding, can improve decisions about everything from what new product offering might interest customers to whether marketing dollars are being most effectively deployed.Based on all-new research and illustrated with examples from companies including Humana, Best Buy, Progressive Insurance, and Hotels.com, this implementation-focused guide outlines the five-step DELTA model for deploying and succeeding with analytical initiatives. You'll learn how to:· Use data more effectively and glean valuable analytical insights· Manage and coordinate data, people, and technology at an enterprise level· Understand and support what analytical leaders do· Evaluate and choose realistic targets for analytical activity· Recruit, hire, and manage analystsCombining the science of quantitative analysis with the art of sound reasoning, Analytics at Work provides a road map and tools for unleashing the potential buried in your company's data.
Analytics for Customer Insights: A Non-Technical Introduction
by Chuck ChakrapaniThis book is a quick an easy introduction to the techniques used in marketing research. Using no mathematics or formulas, this book explains all major analytic techniques used in marketing research. The techniques explained in this book include: - Factor Analysis - Discriminant Analysis - Boosting - Logistic Regression - Turf Analysis - Regression Analysis - Price Sensitivity Meter - Random Forest - MaxDiff - Decision Trees - Perceptual Mapping - Structural Equation (SEM) - Cluster Analysis - Conjoint Analysis - Support Vector Machines - Naive Bayes - Path Analysis - Artificial Neural Network
Analytics for Insurance: The Real Business of Big Data
by Tony BoobierThe business guide to Big Data in insurance, with practical application insight Big Data and Analytics for Insurers is the industry-specific guide to creating operational effectiveness, managing risk, improving financials, and retaining customers. Written from a non-IT perspective, this book focusses less on the architecture and technical details, instead providing practical guidance on translating analytics into target delivery. The discussion examines implementation, interpretation, and application to show you what Big Data can do for your business, with insights and examples targeted specifically to the insurance industry. From fraud analytics in claims management, to customer analytics, to risk analytics in Solvency 2, comprehensive coverage presented in accessible language makes this guide an invaluable resource for any insurance professional. The insurance industry is heavily dependent on data, and the advent of Big Data and analytics represents a major advance with tremendous potential - yet clear, practical advice on the business side of analytics is lacking. This book fills the void with concrete information on using Big Data in the context of day-to-day insurance operations and strategy. Understand what Big Data is and what it can do Delve into Big Data's specific impact on the insurance industry Learn how advanced analytics can revolutionise the industry Bring Big Data out of IT and into strategy, management, marketing, and more Big Data and analytics is changing business - but how? The majority of Big Data guides discuss data collection, database administration, advanced analytics, and the power of Big Data - but what do you actually do with it? Big Data and Analytics for Insurers answers your questions in real, everyday business terms, tailored specifically to the insurance industry's unique needs, challenges, and targets.
Analytics for Leaders
by N. I. FisherAnalytics for Leaders provides a concise, readable account of a complete system of performance measurement for an enterprise. Based on over 20 years of research and development, the system is designed to provide people at all levels with the quantitative information they need to do their jobs: board members to exercise due diligence about all facets of the business, leaders to decide where to focus attention next, and people to carry out their work well. For senior officers, chapter openers provide quick overviews about the overall approach to a particular stakeholder group and how to connect overall performance measures to business impact. For MBA students, extensive supporting notes and references provide in-depth understanding. For researchers and practitioners, a generic statistical approach is described to encourage new ways of tackling performance measurement issues. The book is relevant to all types of enterprise, large or small, public or private, academic or governmental.