Economics, Finance, and Business Books
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Handbook of Financial Time Series
Book SynopsisThe Handbook of Financial Time Series, edited by Andersen, Davis, Kreiss and Mikosch, is an impressive collection of survey articles by many of the leading contributors to the ?eld. These articles are mostly very clearly wr- ten and present a sweep of the literature in a coherent pedagogical manner. The level of most of the contributions is mathematically sophisticated, and I imagine many of these chapters will ?nd their way onto graduate reading lists in courses in ?nancial economics and ?nancial econometrics. In reading through these papers, I found many new insights and presentations even in areas that I know well. The book is divided into ?ve broad sections: GARCH-Modeling, Stoch- tic Volatility Modeling, Continuous Time Processes, Cointegration and Unit Roots, and Special Topics. These correspond generally to classes of stoch- tic processes that are applied in various ?nance contexts. However, there are otherthemesthatcutacrosstheseclasses.Thereareseveralpapersthatca- fully articulate the probabilistic structure of these classes, while others are morefocusedonestimation.Stillothersderivepropertiesofextremesforeach class of processes, and evaluate persistence and the extent of long memory. Papers in many cases examine the stability of the process with tools to check for breaks and jumps. Finally there are applications to options, term str- ture, credit derivatives, risk management, microstructure models and other forecasting settings.Trade ReviewFrom the reviews:“Academic researchers and graduate students in statistics, economics and financial engineering, Industry banking, investments and insurance. … The handbook is clearly written and provides a broad and detailed overview of the major topics within financial time series. … serves as a good reference for the financial time series methods and will be invaluable to many researchers. It also excels in giving very clear and concise description of a number of important methodologies.” (Lasse Koskinen, International Statistical Review, Vol. 78 (1), 2010)Table of ContentsRecent Developments in GARCH Modeling.- An Introduction to Univariate GARCH Models.- Stationarity, Mixing, Distributional Properties and Moments of GARCH(p, q)#x2013;Processes.- ARCH(#x221E;) Models and Long Memory Properties.- A Tour in the Asymptotic Theory of GARCH Estimation.- Practical Issues in the Analysis of Univariate GARCH Models.- Semiparametric and Nonparametric ARCH Modeling.- Varying Coefficient GARCH Models.- Extreme Value Theory for GARCH Processes.- Multivariate GARCH Models.- Recent Developments in Stochastic Volatility Modeling.- Stochastic Volatility: Origins and Overview.- Probabilistic Properties of Stochastic Volatility Models.- Moment#x2013;Based Estimation of Stochastic Volatility Models.- Parameter Estimation and Practical Aspects of Modeling Stochastic Volatility.- Stochastic Volatility Models with Long Memory.- Extremes of Stochastic Volatility Models.- Multivariate Stochastic Volatility.- Topics in Continuous Time Processes.- An Overview of Asset–Price Models.- Ornstein–Uhlenbeck Processes and Extensions.- Jump–Type Lévy Processes.- Lévy–Driven Continuous–Time ARMA Processes.- Continuous Time Approximations to GARCH and Stochastic Volatility Models.- Maximum Likelihood and Gaussian Estimation of Continuous Time Models in Finance.- Parametric Inference for Discretely Sampled Stochastic Differential Equations.- Realized Volatility.- Estimating Volatility in the Presence of Market Microstructure Noise: A Review of the Theory and Practical Considerations.- Option Pricing.- An Overview of Interest Rate Theory.- Extremes of Continuous–Time Processes..- Topics in Cointegration and Unit Roots.- Cointegration: Overview and Development.- Time Series with Roots on or Near the Unit Circle.- Fractional Cointegration.- Special Topics – Risk.- Different Kinds of Risk.- Value–at–Risk Models.- Copula–Based Models for Financial Time Series.- Credit Risk Modeling.- Special Topics – Time Series Methods.- Evaluating Volatility and Correlation Forecasts.- Structural Breaks in Financial Time Series.- An Introduction to Regime Switching Time Series Models.- Model Selection.- Nonparametric Modeling in Financial Time Series.- Modelling Financial High Frequency Data Using Point Processes.- Special Topics – Simulation Based Methods.- Resampling and Subsampling for Financial Time Series.- Markov Chain Monte Carlo.- Particle Filtering.
£239.99
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Long-Memory Processes: Probabilistic Properties
Book SynopsisLong-memory processes are known to play an important part in many areas of science and technology, including physics, geophysics, hydrology, telecommunications, economics, finance, climatology, and network engineering. In the last 20 years enormous progress has been made in understanding the probabilistic foundations and statistical principles of such processes. This book provides a timely and comprehensive review, including a thorough discussion of mathematical and probabilistic foundations and statistical methods, emphasizing their practical motivation and mathematical justification. Proofs of the main theorems are provided and data examples illustrate practical aspects. This book will be a valuable resource for researchers and graduate students in statistics, mathematics, econometrics and other quantitative areas, as well as for practitioners and applied researchers who need to analyze data in which long memory, power laws, self-similar scaling or fractal properties are relevant.Trade ReviewFrom the book reviews:“This encyclopaedic book covers almost the whole literature on univariate and multivariate long-range dependent (LRD) processes, or long-memory processes or strongly dependent processes. … This volume is then of strong interest for both researchers and teachers familiar with the topic, as it gives an overall, structured and balanced picture of the current state of the art. Readers less familiar with the topic will easily find their way in the vast literature on this issue, and will have their curiosity satisfied.” (Gilles Teyssière, Mathematical Reviews, October, 2014)“This book aims to cover probabilistic and statistical aspects of long-memory processes in as much detail as possible, including a broad range of topics. The authors did an excellent job to reach their goals, and the book would be a must for researchers interested in long-memory processes and practioners on time series and data analysis. … the book is an excellent choice for anyone who is working in fields related to long-memory processes with many update information and research topics.” (Weiping Li, zbMATH, Vol. 1282, 2014)Table of ContentsDefinition of Long Memory.- Origins and Generation of Long Memory.- Mathematical Concepts.- Limit Theorems.- Statistical Inference for Stationary Processes.- Statistical Inference for Nonlinear Processes.- Statistical Inference for Nonstationary Processes.- Forecasting.- Spatial and Space-Time Processes.- Resampling.- Function Spaces.- Regularly Varying Functions.- Vague Convergence.- Some Useful Integrals.- Notation and Abbreviations.
£135.99
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Statistische und mathematische Methoden in der
Book SynopsisDieses Buch vermittelt Wissen über die statistischen und mathematischen Methoden in der Wirtschaft und beinhaltet die Themenschwerpunkte Analyse, Schätzung und Vorhersage. In jedem Kapitel gibt es ein breites Spektrum an Forschungsarbeiten, die einen Einblick über das Thema geben sowie Beispiele für die Anwendung der Ökonometrie in realen Situationen. Das Buch enthält einen systematischen Literaturüberblick auf der Grundlage maschinell generierter Inhalte. Fragen und zugehörige Schlüsselwörter wurden für die Maschine vorbereitet, die sie abgefragt, entdeckt, zusammengestellt und durch Clustering mit künstlicher Intelligenz (KI) strukturiert hat. Springer Nature hat in den letzten Jahren viel zu dem Thema in Zeitschriften veröffentlicht, so dass die Herausforderung für die Maschine darin bestand, die relevantesten Inhalte zu identifizieren und sie in einer strukturierten Weise zu präsentieren. Die automatisch generierten Literaturzusammenfassungen dienen Wissenschaftlern und Studenten, um sich einen Überblick über die aktuelle Entwicklung des Themas zu verschaffen und Forschungsfragen zu entwickeln, aber auch Personen aus der Praxis erhalten Anregungen und Impulse. Table of Contents1. Einführung und Überblick.- 2. Analyse.- 3. Schätzung.- 4. Vorhersage.
£44.99
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Formelsammlung Finanzmathematik: Wissen kompakt für Studierende und Praktiker
Book SynopsisDiese Formelsammlung enthält und erklärt finanzmathematische Formeln innerhalb finanzwirtschaftlicher Zusammenhänge, wie sie in den Wirtschaftswissenschaften und in der wirtschaftswissenschaftlichen Praxis fundamental notwendig sind. Das Verständnis der Formeln und deren praktische Anwendung werden durch nützliche Hilfen und verständliche Beispiele sinnvoll unterstützt, so dass der Kontext finanzmathematischer Formeln klar und erklärlich dargestellt wird. Diese Formelsammlung ist ein unverzichtbares Tool für Studierende der Wirtschaftswissenschaften, aber auch ein nützliches Nachschlagewerk für Verantwortliche aus Wirtschaft, Politik und Lehre.Die Inhalte wurden für die 2. Auflage teilweise überarbeitet und ergänzt.Table of Contents
£24.99
New India Publishing Agency Formulas and Computations in Agriculture
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£76.86
Springer Verlag, Singapore Reliability and Survival Analysis
Book SynopsisThis book presents and standardizes statistical models and methods that can be directly applied to both reliability and survival analysis. These two types of analysis are widely used in many fields, including engineering, management, medicine, actuarial science, the environmental sciences, and the life sciences. Though there are a number of books on reliability analysis and a handful on survival analysis, there are virtually no books on both topics and their overlapping concepts. Offering an essential textbook, this book will benefit students, researchers, and practitioners in reliability and survival analysis, reliability engineering, biostatistics, and the biomedical sciences. Table of ContentsChapter 1: Reliability and Survival Analysis: Concepts and Definitions.- Chapter 2: Mean Lifetime and Residual Lifetime.- Chapter 3: Probability Distributions of Lifetimes (Uncensored).- Chapter 4: Censoring Mechanisms.- Chapter 5: Probability Distributions of Lifetimes under Censoring Schemes.- Chapter 6: Nonparametric Methods.- Chapter 7: Parametric Methods.- Chapter 8: Regression Models.- Chapter 9: Generalized Linear Models for Failure Times.- Chapter 10: Components and Systems.- Chapter 11: Reliability Functions and Ageing Properties.- Chapter 12: Models for Production System.- Chapter 13: Stochastic Models.- Chapter 14: Further Topics.- References.- Appendix - A: Statistical Tables.- Appendix - B: Data Sets.- Appendix - C: R-Packages and Programming Codes.- Index.
£79.99
Springer Verlag, Singapore Computation of Greeks Using the Discrete
Book SynopsisThis book presents new computation schemes for the sensitivity of options using the binomial tree and introduces readers to the discrete Malliavin calculus. It also shows that applications of the discrete Malliavin calculus approach to the binomial tree model offer fundamental tools for computing Greeks.The binomial tree approach is one of the most popular methods in option pricing. Although it is a fairly traditional model for option pricing, it is still widely used in financial institutions since it is tractable and easy to understand. However, the book shows that the tree approach also offers a powerful tool for deriving the Greeks for options. Greeks are quantities that represent the sensitivities of the price of derivative securities with respect to changes in the underlying asset price or parameters. The Malliavin calculus, the stochastic methods of variations, is one of the most popular tools used to derive Greeks. However, it is also very difficult to understand for most students and practitioners because it is based on complex mathematics. To help readers more easily understand the Malliavin calculus, the book introduces the discrete Malliavin calculus, a theory of the functional for the Bernoulli random walk. The discrete Malliavin calculus is significantly easier to understand, because the functional space of the Bernoulli random walk is realized in a finite dimensional space. As such, it makes this valuable tool far more accessible for a broad readership.Table of ContentsIntroduction.- Single-Period Model.- Multiple Time Model.- Application to Finance.- Spectral Binomial Tree.- Short Introduction to Malliavin Calculus in Continuous Time Model.- Discrete Malliavin Greeks.
£29.99
Springer Digitalisation and Artificial Intelligence using Mathematical and Computational Approaches
Book SynopsisTransforming Tourism with AI: A Data-driven Approach to Economic Improvement.- Remarks on N-soft Topological Space.- Numerical Solutions of the Mixed Problems with Nonclassical Boundary Conditions.- Under Uncertain Conditions Adaptive Control of Dynamic Objects.- The Mathematical Model for Assessing Ukraine’s Region’s Economic Security Level.- Fuzzy Intelligent Diagnostic System to Assess Human Health.- Traffic Light Detection and Counter Recognition using Video Images and Artificial Intelligence.- Simultaneous Equation Model of Interdependence between Ukrainian Macroeconomic Indicators.- Modelling and Management of Population Migration Factors and Philosophical Approach to their Research.- Regression Analysis of the Relationship of Bank Lending to the Real Sector of Economy and the Volume of GDP in Azerbaijan.- Digitalization of Educational Products and Services: Factors and Trends.- New Fixed-point Results for an Almost Soft Z_s-contraction.- The Impact of the Development of Digital Educational Products on Environmental Protection: Problems and Prospects.- Theorems on Fixed Points in Parametric Cone Metric Space.- Quantitative and Qualitative Assessment of the Problems Faced by Chemistry Teachers in Azerbaijan in the In-school Assessment Process.- Comparison of Analytical Solution of Current Density with its Experimental Result of an (Sandwich-Type) Amperometric Biosensor.- The Importance of the Digital Economy in Improving the Efficiency of the Socio-economic System in Azerbaijan.- Optimizing Risk Integrated Software Effort Estimation: A Differential Evolution Approach.- Impact of Financial and Non-financial Incentives on Employee Motivation.- Covid-19 Detection Based on Chest X-ray Learning Images using Deep Learning.- The Influence of Digital Marketing Strategies on Customers’ Online Buying Behavior.- Computational Study of Rare Earth Intermetallic.- Image Compression using VEDIC Methodology with SPHIT Algorithm for wireless Sensor Network.- How Do Oil and Gas Reserves Affect the Economic Growth of the CIS Countries: Evidence from Panel Data Regression.- Family Businesses in Digital Economy: Challenges and New Prospects.- Implementation Issues of Digital Accountability in Communication Services.- Assessing the ICT Impact on Tourism Services Exports in Azerbaijan.- Digitalization. Competition. Global economy.- Factors influencing Guizhou’s rural tourism destination loyalty: a combined Neural Network-Topsis-Structural Equation modeling analysis.
£179.99
Reverte Management (Rem) Cmo Evaluar Resultados Performance Reviews
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FUNDAMENTOS DE ECONOMIA FINANCIERA
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EL TRADER TODORERRENO
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LAS 12 PROMESAS DEL ALMA
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Reverte Management (Rem) Management Tips (Management Tips Spanish Edition)
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Reverte Management (Rem) Cómo Liderar Reuniones Virtuales (Leading Virtual
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£12.03
Reverte Management (Rem) Doce Y Medio (Twelve and a Half Spanish Edition):
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£17.24
Reverte Management (Rem) El Hombre Más Rico de Babilonia (the Reachest Man
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Obelisco Morir Con Cero
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Taylor & Francis Ltd Developments in Tourism Research New Directions Challenges and Applications Advances in Tourism Research
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£104.50
Taylor & Francis Ltd The Routledge Companion to Mindfulness at Work
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Taylor & Francis Ltd Aviation and Climate Change
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Taylor & Francis Ltd Introduction to Econophysics
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Taylor & Francis Ltd Machine Learning and AI in Finance
Book SynopsisThe significant amount of information available in any field requires a systematic and analytical approach to select the most critical information and anticipate major events. During the last decade, the world has witnessed a rapid expansion of applications of artificial intelligence (AI) and machine learning (ML) algorithms to an increasingly broad range of financial markets and problems. Machine learning and AI algorithms facilitate this process understanding, modelling and forecasting the behaviour of the most relevant financial variables. The main contribution of this book is the presentation of new theoretical and applied AI perspectives to find solutions to unsolved finance questions. This volume proposes an optimal model for the volatility smile, for modelling high-frequency liquidity demand and supply and for the simulation of market microstructure features. Other new AI developments explored in this book includes building a universal model for a large number of stockTable of ContentsForewordMarcos Lopez de PradoIntroductionGermán G. Creamer, Gary Kazantsev and Tomaso Aste1. Universal features of price formation in financial markets: perspectives from deep learningJustin Sirignano and Rama Cont2. Far from the madding crowd: collective wisdom in prediction marketsGiulio Bottazzi and Daniele Giachini3. Forecasting limit order book liquidity supply–demand curves with functional autoregressive dynamicsYing Chen, Wee Song Chua and Wolfgang Karl Härdle4. Forecasting market statesPier Francesco Procacci and Tomaso Aste5. Encoding of high-frequency order information and prediction of short-term stock price by deep learningDaigo Tashiro, Hiroyasu Matsushima, Kiyoshi Izumi and Hiroki Sakaji6. Attention mechanism in the prediction of stock price movement by using LSTM: Evidence from the Hong Kong stock market Shun Chen and Lei Ge7. Learning multi-market microstructure from order book dataGeonhwan Ju, Kyoung-Kuk Kim and Dong-Young Lim8. A non-linear causality test: a machine learning approach for energy futures forecastGermán G. Creamer and Chihoon Lee9. The QLBS Q-Learner goes NuQLear: fitted Q iteration, inverse RL, and option portfoliosIgor Halperin10. Detection of false investment strategies using unsupervised learning methodsMarcos López de Prado and Michael J. Lewis
£39.99
Taylor & Francis Ltd Levi StraussGlobal Comp V6
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Taylor & Francis Ltd Rio TintoGlobal Comp 20th V9
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Taylor & Francis Ltd Essential Guide to Operations Management
Book SynopsisThe revised and updated second edition of the popular and practical guide to contemporary operations management now featuring a new chapter on managing sustainable supply networks.The Essential Guide to Operations Management explores fundamental operations management principles and shows how they are applied in real-life situations in both the services and manufacturing sectors. It adapts a strategic stance by providing a framework for effective decision-making: determining operations strategies; designing processes, products and work organisations; managing change through effective project management and technology transfer; exploring contemporary approaches to operations planning and control; and then managing quality and improvement strategies. As such, it addresses the needs of practising managers, postgraduate MBA and MSc students and final-year undergraduates in advanced operations management elective courses.The Essential Guide to Operations ManagemenTrade Review"A highly readable text with a laser-sharp focus on the contemporary aspects of Operations Management. Written to be put into practice, the material is essential reading for students and managers." Professor Claire Hannibal, Professor of Operations Management, Liverpool Business School, Liverpool John Moores University, UK.--------------------------"Bamford, Forrester and Reid all have comprehensive industrial backgrounds covering a number of operation management roles. It is this, combined with academic rigour across a number of operation management disciplines that reflects their cutting-edge research, which results in a text fit for purpose in today’s environment. They are all first-class lecturers, and this comes to the fore in the way they make key points in the book to illuminate student learning."Professor Barrie Dale, Emeritus Professor, Alliance Manchester Business School, University of Manchester, UK.---------------------"Bamford, Forrester and Reid provide an essential update on operations management revisiting both the model and context in the current economic climate while integrating important topics such as agile and resilient operations, digital transformation, and managing supply networks. Operations Management is about "getting the job done, done well, and delivering enhanced value creation". This text sets the reader off on the right course."Vernon Barker OBE, Retired Project Director, Transport Consultant and Rail Industry Director.---------------------"This textbook is a tight, flowing combination of well-grounded theory and practical examples, with a stress on long-term value and organizational strength. It correctly stresses that this can only be gained by ensuring a financially sustainable business model, and environmentally sustainable, responsible operations. A good read that makes a valuable contribution."Stephen Oliver, VP Corporate Marketing & Investor Relations, Navitas Semiconductor, Los Angeles, California.--------------------------"This is a much-welcomed update of Bamford and Forrester’s excellent and aptly named ‘Essential Guide to Operations Management’. The addition of Iain Reid to the line-up of authors brings an additional wealth of experience, which is reflected in the topicality and practical nature of this book. As well as the fundamentals of operations management, the book addresses the evolving challenges organisations face, especially sustainability, and these are dealt with in a clear, concise and straightforward manner. Whether you are a practitioner, researcher or student this book is for you – buy it!"Professor Bernard Burnes, Chair of Organisational Change, Stirling Management School, University of Stirling, Scotland--------------------------"Bamford, Forrester and Reid have crafted an excellent resource to support students getting to grips with what Operations Management is and how we see this in industry today. I am very pleased to see the addition of the new chapter ‘Managing Sustainable Supply Networks’. Given the volatility of our global marketplace, the effective management of supply chains is essential to business competitiveness and viability. This textbook covers the salient ingredients that all operation management specialists should be aware of and is a very useful resource for all business and management students. This textbook is equally valuable for managers wishing to understand more about operational tools and techniques as part of their ongoing continuous personal development."Professor Liz Breen, Professor of Health Service Operations, University of Bradford School of Pharmacy and Medical Sciences, UK--------------------------"The 'Essential Guide to Operations Management' by Bamford, Forrester and Reid is a core textbook for undergraduate, post-graduate and executive education. Fundamental concepts and technical tools are supported with case studies that make this book indispensable. Now the revised and 2nd edition, ensures that this dynamic and complex subject captures contemporary developments in the field."Dr Kate McLoughlin, Assistant Professor in Management, University College Dublin, Ireland --------------------------Table of Contents1 Operations Management in Context2 Designing Business Processes 3 Developing Service and Product Value 4 Operations Management and Digital Transformation 5 Controlling Enterprise Resources 6 Lean and Resilient Operations 7 Managing Sustainable Supply Networks 8 Managing Operations Strategically 9 Managing Quality Systems 10 Improving Global Operations 11 Operations Management in Practice
£39.99
Cambridge University Press The Future Of eMarkets Multidimensional Market Mechanisms
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Cambridge University Press The Law and Economics of Marriage and Divorce
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Cambridge University Press Economic Choices in a Warming World
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Cambridge University Press Stamp Duty Land Tax Law Practitioner Series
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Cambridge University Press The Experience of Middle Australia
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Cambridge University Press Risk and Precaution
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Cambridge University Press Twenty Years of Inflation Targeting
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Cambridge University Press Transferring Wealth and Power from the Old to the New World
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Cambridge University Press Firms Networks and Business Values The British and American Cotton Industries since 1750 8 Cambridge Studies in Modern Economic History Series Number 8
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Cambridge University Press The Law and Economics of Marriage and Divorce
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Cambridge University Press Getting Rich
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