339,99 zł

Introduction To Actuarial And Financial Mathematical Methods

Książki Obcojęzyczne>Angielskie>Economics, finance, business & management>Finance & accounting>Finance>Banking & finance: study & revis...

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Sklep: Gigant.pl

341,28 zł

R Programming for Actuarial Science John Wiley and Sons Ltd

Książki / Literatura obcojęzyczna

R Programming for Actuarial Science and Financial Mathematics provides a grounding in R programming applied to the mathematical and statistical methods that are of relevance for actuarial work. It equips the student with knowledge of statistical distributions and methods to summarize data.This book provides coding at a basic to intermediate level in respect of numerous actuarial applications, and real-life examples are included with every topic. Whilst each chapter includes a certain amount of theory, the length of which will depend on the complexity of the topic, this book is intended as complimentary to actuarial textbooks which set out all the theory which is required. The key message from the book is that students can gain a much better understanding of the underlying mathematical and statistical principles by writing their own code.Topics addressed include:* Compound interest* Statistical inference* Asset-liability matching* Time series* Loss distributions* Contingencies* Mortality models* Option pricingThe authors have a combined experience of 20 years in actuarial consultancies and insurance companies, as well as over 20 years in university teaching and research.

Sklep: Libristo.pl

537,04 zł

Fundamentals of Actuarial Mathematics 3e John Wiley & Sons Inc

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Provides a comprehensive coverage of both the deterministic and stochastic models of life contingencies, risk theory, credibility theory, multi-state models, and an introduction to modern mathematical finance. New edition restructures the material to fit into modern computational methods and provides several spreadsheet examples throughout. Covers the syllabus for the Institute of Actuaries subject CT5, Contingencies Includes new chapters covering stochastic investments returns, universal life insurance. Elements of option pricing and the Black-Scholes formula will be introduced.

Sklep: Libristo.pl

380,87 zł

Introduction to Mathematical Portfolio Theory Cambridge University Press

Książki / Literatura obcojęzyczna

In this concise yet comprehensive guide to the mathematics of modern portfolio theory the authors discuss mean-variance analysis, factor models, utility theory, stochastic dominance, very long term investing, the capital asset pricing model, risk measures including VAR, coherence, market efficiency, rationality and the modelling of actuarial liabilities. Each topic is clearly explained with assumptions, mathematics, limitations, problems and solutions presented in turn. Joshi's trademark style of clarity and practicality is here brought to classical financial mathematics. The book is suitable for mathematically trained students in actuarial studies, business and economics as well as mathematics and finance, and it can be used for both self-study and as a course text. The authors' experience as both academics and practitioners brings clarity and relevance to the book, whilst ensuring that the limitations of models are highlighted.

Sklep: Libristo.pl

681,05 zł

Financial Modelling with Python John Wiley & Sons Inc

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

Sklep: Libristo.pl

415,95 zł

Financial Risk Forecasting - The Theory and Practice of Forecasting Market Risk with Implementation in R and MATLAB John Wiley & Sons Inc

Książki / Literatura obcojęzyczna

Financial Risk Forecasting is a complete introduction to practical quantitative risk management, with a focus on market risk. Derived from the authors teaching notes and years spent training practitioners in risk management techniques, it brings together the three key disciplines of finance, statistics and modeling (programming), to provide a thorough grounding in risk management techniques. Written by renowned risk expert Jon Danielsson, the book begins with an introduction to financial markets and market prices, volatility clusters, fat tails and nonlinear dependence. It then goes on to present volatility forecasting with both univatiate and multivatiate methods, discussing the various methods used by industry, with a special focus on the GARCH family of models. The evaluation of the quality of forecasts is discussed in detail. Next, the main concepts in risk and models to forecast risk are discussed, especially volatility, value-at-risk and expected shortfall.The focus is both on risk in basic assets such as stocks and foreign exchange, but also calculations of risk in bonds and options, with analytical methods such as delta-normal VaR and duration-normal VaR and Monte Carlo simulation. The book then moves on to the evaluation of risk models with methods like backtesting, followed by a discussion on stress testing. The book concludes by focussing on the forecasting of risk in very large and uncommon events with extreme value theory and considering the underlying assumptions behind almost every risk model in practical use - that risk is exogenous - and what happens when those assumptions are violated. Every method presented brings together theoretical discussion and derivation of key equations and a discussion of issues in practical implementation. Each method is implemented in both MATLAB and R, two of the most commonly used mathematical programming languages for risk forecasting with which the reader can implement the models illustrated in the book. The book includes four appendices. The first introduces basic concepts in statistics and financial time series referred to throughout the book.The second and third introduce R and MATLAB, providing a discussion of the basic implementation of the software packages. And the final looks at the concept of maximum likelihood, especially issues in implementation and testing. The book is accompanied by a website - www.financialriskforecasting.com - which features downloadable code as used in the book.

Sklep: Libristo.pl

635,33 zł

Elementary Financial Derivatives - A Guide to Trading and Valuation with Applications John Wiley and Sons Ltd

Książki / Literatura obcojęzyczna

A step-by-step approach to the mathematical financial theory and quantitative methods needed to implement and apply state-of-the-art valuation techniquesWritten as an accessible and appealing introduction to financial derivatives, Elementary Financial Derivatives: A Guide to Trading and Valuation with Applications provides the necessary techniques for teaching and learning complex valuation techniques. Filling the current gap in financial engineering literature, the book emphasizes an easy-to-understand approach to the methods and applications of complex concepts without focusing on the underlying statistical and mathematical theories.Organized into three comprehensive sections, the book discusses the essential topics of the derivatives market with sections on options, swaps, and financial engineering concepts applied primarily, but not exclusively, to the futures market. Providing a better understanding of how to assess risk exposure, the book also includes:* A wide range of real-world applications and examples detailing the theoretical concepts discussed throughout* Numerous homework problems, highlighted equations, and Microsoft(r) Office Excel(r) modules for valuation* Pedagogical elements such as solved case studies, select answers to problems, and key terms and concepts to aid comprehension of the presented material* A companion website that contains an Instructor's Solutions Manual, sample lecture PowerPoint(r) slides, and related Excel files and data setsElementary Financial Derivatives: A Guide to Trading and Valuation with Applications is an excellent introductory textbook for upper-undergraduate courses in financial derivatives, quantitative finance, mathematical finance, and financial engineering. The book is also a valuable resource for practitioners in quantitative finance, industry professionals who lack technical knowledge of pricing options, and readers preparing for the CFA exam.Jana Sacks, PhD, is Associate Professor in the Department of Accounting and Finance at St. John Fisher College in Rochester, New York. A member of The American Finance Association, the National Association of Corporate Directors, and the International Atlantic Economic Society, Dr. Sack's research interests include risk management, credit derivatives, pricing, hedging, and structured finance.

Sklep: Libristo.pl

197,67 zł

Quantitative Methods for ESG Finance John Wiley & Sons Inc

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A quantitative analyst's introduction to the theory and practice of ESG financeIn Quantitative Methods for ESG Finance, accomplished risk and ESG experts Dr. Cyril Shmatov and Cino Robin Castelli deliver an incisive and essential introduction to the quantitative basis of ESG finance from a quantitative analyst's perspective. The book combines the theoretical and mathematical bases underlying risk factor investing and risk management with accessible discussions of ESG applications.The authors explore the increasing availability of non-traditional data sources for quantitative analysts and describe the quantitative/statistical techniques they'll need to make practical use of these data. The book also offers:* A particular emphasis on climate change and climate risks, both due to its increasing general importance and accelerating regulatory change in the space* Practical code examples in a Python Jupyter notebook that use publicly available data to demonstrate the techniques discussed in the book* Expansive discussions of risk factor investing, portfolio construction, ESG scoring, new ESG-driven financial products, and new financial risk management applications, particularly those making use of the proliferation of "alternative data", both text and imagesA must-read guide for quantitative analysts, investment managers, financial risk managers, investment bankers, and other finance professionals with an interest in ESG-driven investing, Quantitative Methods for ESG Finance will also earn a place on the bookshelves of graduate students of business and finance.

Sklep: Libristo.pl

400,07 zł

Mathematics of Financial Derivatives Cambridge University Press

Książki / Literatura obcojęzyczna

Finance is one of the fastest growing areas in the modern banking and corporate world. This, together with the sophistication of modern financial products, provides a rapidly growing impetus for new mathematical models and modern mathematical methods; the area is an expanding source for novel and relevant 'real-world' mathematics. In this book the authors describe the modelling of financial derivative products from an applied mathematician's viewpoint, from modelling through analysis to elementary computation. A unified approach to modelling derivative products as partial differential equations is presented, using numerical solutions where appropriate. Some mathematics is assumed, but clear explanations are provided for material beyond elementary calculus, probability, and algebra. Over 140 exercises are included. This volume will become the standard introduction to this exciting new field for advanced undergraduate students.

Sklep: Libristo.pl

527,30 zł

Introduction to Insurance Mathematics Springer International Publishing AG

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This second edition expands the first chapters, which focus on the approach to risk management issues discussed in the first edition, to offer readers a better understanding of the risk management process and the relevant quantitative phases. In the following chapters the book examines life insurance, non-life insurance and pension plans, presenting the technical and financial aspects of risk transfers and insurance without the use of complex mathematical tools. The book is written in a comprehensible style making it easily accessible to advanced undergraduate and graduate students in Economics, Business and Finance, as well as undergraduate students in Mathematics who intend starting on an actuarial qualification path. With the systematic inclusion of practical topics, professionals will find this text useful when working in insurance and pension related areas, where investments, risk analysis and financial reporting play a major role.

Sklep: Libristo.pl

728,49 zł

Introduction to High-Frequency Finance Elsevier Science Publishing Co Inc

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Liquid markets generate hundreds or thousands of ticks (the minimum change in price a security can have, either up or down) every business day. Data vendors such as Reuters transmit more than 275,000 prices per day for foreign exchange spot rates alone. Thus, high-frequency data can be a fundamental object of study, as traders make decisions by observing high-frequency or tick-by-tick data. Yet most studies published in financial literature deal with low frequency, regularly spaced data. For a variety of reasons, high-frequency data are becoming a way for understanding market microstructure. This book discusses the best mathematical models and tools for dealing with such vast amounts of data. This book provides a framework for the analysis, modeling, and inference of high frequency financial time series. With particular emphasis on foreign exchange markets, as well as currency, interest rate, and bond futures markets, this unified view of high frequency time series methods investigates the price formation process and concludes by reviewing techniques for constructing systematic trading models for financial assets.

Sklep: Libristo.pl

113,15 zł

Quantitative Finance For Dummies John Wiley & Sons Inc

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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.

Sklep: Libristo.pl

463,28 zł

Quantitative Risk Management Princeton University Press

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This book provides the most comprehensive treatment of the theoretical concepts and modelling techniques of quantitative risk management. Whether you are a financial risk analyst, actuary, regulator or student of quantitative finance, Quantitative Risk Management gives you the practical tools you need to solve real-world problems. Describing the latest advances in the field, Quantitative Risk Management covers the methods for market, credit and operational risk modelling. It places standard industry approaches on a more formal footing and explores key concepts such as loss distributions, risk measures and risk aggregation and allocation principles. The book's methodology draws on diverse quantitative disciplines, from mathematical finance and statistics to econometrics and actuarial mathematics. A primary theme throughout is the need to satisfactorily address extreme outcomes and the dependence of key risk drivers. Proven in the classroom, the book also covers advanced topics like credit derivatives.Fully revised and expanded to reflect developments in the field since the financial crisis Features shorter chapters to facilitate teaching and learning Provides enhanced coverage of Solvency II and insurance risk management and extended treatment of credit risk, including counterparty credit risk and CDO pricing Includes a new chapter on market risk and new material on risk measures and risk aggregation

Sklep: Libristo.pl

206,00 zł

Applied Statistics in Business & Economics with St CDRom McGraw-Hill

Biznes

This new text offers an Excel focused approach to using statistics in business. All statistical concepts are illustrated with applied examples immediately upon introduction. Modern computing tools and applications are introduced, and the text maintains a strong focus on presenting statistical concepts as applied in business --as opposed to providing programming methods used to find a mathematical solution. Interpretation is heavily emphasized, enabling students to take full advantage of Excel to develop and drive problem-solving skills.Applied Statistics in Business and Economics covers all the basic topics in the standard Business Statistics course, both undergraduate and MBA, using real and realistic data sets and modern technology. Benefit : Students are studying statistics in the same 'environment' in which they can apply it. Visual Statistics, Learning Stats, and MegaStat are integrated within the text and included in the package. Benefit : Because the text package supports these more practical applications of statistics, instructors can -at their option, provide an enriched selection of topics, without math and theory holding the class back. Examples, minicases, exercies are almost completely from published research or real applications. Two key example data sets are a health care management data and a midwest bank collection on Automated teller machines. Benefit : The complete selection of examples and application mirror the current business environment. Students using this text are quite likely to be involved immediately in analysis very much like those used in the text. Exercises are included both at the end of sections, and at the ends of chapters. There are plenty of examples within the chapters, and virtually all of these are available in a technology form on CD. The exercises often include 'encouragement' of experimentation and alternative analysis. Benefit : Because the text and exercises are integrated with techology, this more realistic approach provides students with a better understanding of the applicability of statistics, and more experience in 'doing' analysis. Though nearly 800 pages in length- the text is concise in it's treatment. Much of the length is due to the high frequency of graphic illustrations and instructional screen shots of Excel and MegaStat for Excel. The text is decidedly non-mathematical- in both 'look and feel' and in substance. All but the simplest proofs and derivations are eliminated. Benefit : Students who are frightened or intimidated by mathematics or by technical notation in textbooks will not have that reaction to this text. The text integrates many real world data sets, including two large sets featuring health care management and banking/financial data. Benefit : Many texts use real world material from previously published popular press sources, and many use manufacturing, marketing, and economic data. Doane's use of data, particularly these two original data sets, more accurately matches the state of industry today, with health care and financial services assuming a much larger role. The treatment of confidence intervals and inference emphasizes proportions because they are more important in business applications. The text also thoroughly integrates p-value interpretations of all tests. Benefit : Students have a modern treatment, appropriate with the prevailing application of technology in statistics today. Hypothesis Testing chapters and all examples are presented following a consistent five step format Benefit : This approach helps students develop a logical and consistent approach in their analysis and understanding of inference.

Sklep: Albertus.pl

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