Havran Daniel (16 results)

Condition: Fine. Used book that is in almost brand-new condition. May contain a remainder mark. Better World Books: Buy Books. Do Good.

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Condition: New.

Paperback. Condition: New. R is a statistical computing language that s ideal for answering quantitative finance questions. This book gives you both theory and practice, all in clear language with stacks of real-world examples. Ideal for R beginners or expert alike.Key FeaturesUse time series analysis to model and forecast house pricesEstimate the term structure of interest rates using prices of government bondsDetect systemically important financial institutions by employing financial network analysisBook DescriptionIntroduction to R for Quantitative Finance will show you how to solve real-world quantitative fi nance problems using the statistical computing language R. The book covers diverse topics ranging from time series analysis to fi nancial networks. Each chapter briefl y presents the theory behind specific concepts and deals with solving a diverse range of problems using R with the help of practical examples.This book will be your guide on how to use and master R in order to solve quantitative finance problems. This book covers the essentials of quantitative finance, taking you through a number of clear and practical examples in R that will not only help you to understand the theory, but how to effectively deal with your own real-life problems.Starting with time series analysis, you will also learn how to optimize portfolios and how asset pricing models work. The book then covers fixed income securities and derivatives such as credit risk management.What you will learnHow to model and forecast house prices and improve hedge ratios using cointegration and model volatilityHow to understand the theory behind portfolio selection and how it can be applied to real-world dataHow to utilize the Capital Asset Pricing Model and the Arbitrage Pricing TheoryHow to understand the basics of fixed income instrumentsYou will discover how to use discrete- and continuous-time models for pricing derivative securitiesHow to successfully work with credit default models and how to model correlated defaults using copulasHow to understand the uses of the Extreme Value Theory in insurance and fi nance, model fitting, and risk measure calculationWho this book is forIf you are looking to use R to solve problems in quantitative finance, then this book is for you. A basic knowledge of financial theory is assumed, but familiarity with R is not required. With a focus on using R to solve a wide range of issues, this book provides useful content for both the R beginner and more experience users.…

Condition: New. In.

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Condition: As New. Unread book in perfect condition.

Condition: New. pp. 164.

Paperback. Condition: New. R is a statistical computing language that s ideal for answering quantitative finance questions. This book gives you both theory and practice, all in clear language with stacks of real-world examples. Ideal for R beginners or expert alike.Key FeaturesUse time series analysis to model and forecast house pricesEstimate the term structure of interest rates using prices of government bondsDetect systemically important financial institutions by employing financial network analysisBook DescriptionIntroduction to R for Quantitative Finance will show you how to solve real-world quantitative fi nance problems using the statistical computing language R. The book covers diverse topics ranging from time series analysis to fi nancial networks. Each chapter briefl y presents the theory behind specific concepts and deals with solving a diverse range of problems using R with the help of practical examples.This book will be your guide on how to use and master R in order to solve quantitative finance problems. This book covers the essentials of quantitative finance, taking you through a number of clear and practical examples in R that will not only help you to understand the theory, but how to effectively deal with your own real-life problems.Starting with time series analysis, you will also learn how to optimize portfolios and how asset pricing models work. The book then covers fixed income securities and derivatives such as credit risk management.What you will learnHow to model and forecast house prices and improve hedge ratios using cointegration and model volatilityHow to understand the theory behind portfolio selection and how it can be applied to real-world dataHow to utilize the Capital Asset Pricing Model and the Arbitrage Pricing TheoryHow to understand the basics of fixed income instrumentsYou will discover how to use discrete- and continuous-time models for pricing derivative securitiesHow to successfully work with credit default models and how to model correlated defaults using copulasHow to understand the uses of the Extreme Value Theory in insurance and fi nance, model fitting, and risk measure calculationWho this book is forIf you are looking to use R to solve problems in quantitative finance, then this book is for you. A basic knowledge of financial theory is assumed, but familiarity with R is not required. With a focus on using R to solve a wide range of issues, this book provides useful content for both the R beginner and more experience users.…

Condition: New. Print on Demand pp. 164 3:B&W 7.5 x 9.25 in or 235 x 191 mm Perfect Bound on White w/Gloss Lam.

Condition: New. PRINT ON DEMAND pp. 164.

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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering.