Download portfolio analytics an introduction to return and risk measurement springer texts in business and economics in pdf or read portfolio analytics an introduction to return and risk measurement springer texts in business and economics in pdf online books in PDF, EPUB and Mobi Format. Click Download or Read Online button to get portfolio analytics an introduction to return and risk measurement springer texts in business and economics in pdf book now. This site is like a library, Use search box in the widget to get ebook that you want.



Portfolio Analytics

Author: Wolfgang Marty
Publisher: Springer
ISBN: 3319198122
Size: 71.95 MB
Format: PDF, Kindle
View: 7702
Download and Read
This textbook first introduces the reader to return measurement and then goes on to compare the time-weighted rate of return (TWR) with the money-weighted rate of return (MWR). To emphasize the importance of risk in conjunction with return, different tracking errors are analyzed and ex-post versus ex-ante risk figures are compared. The author then proceeds to modern portfolio theory (MPT) and illustrates how the constraints interfere substantially in the construction of optimized portfolios. As a conclusion, the book provides the reader with all the essential aspects of investment controlling.

Extreme Financial Risks

Author: Yannick Malevergne
Publisher: Springer Science & Business Media
ISBN: 3540272666
Size: 24.28 MB
Format: PDF, Docs
View: 6956
Download and Read
"Clearly elucidates extreme financial risks associated with rare events such as financial crashes. The highlight of the book is the delineation of various copulas in conjunction with financial dependences among different assets of a portfolio. In particular, the insightful discussion on quadrant and orthant dependences casts new light on the connection between marginal models and financial dependence...brings a vivid portrayal of the subject." -- MATHEMATICAL REVIEWS

Analyzing Financial Data And Implementing Financial Models Using R

Author: Clifford Ang
Publisher: Springer
ISBN: 3319140752
Size: 28.75 MB
Format: PDF, ePub, Mobi
View: 6648
Download and Read
This book is a comprehensive introduction to financial modeling that teaches advanced undergraduate and graduate students in finance and economics how to use R to analyze financial data and implement financial models. This text will show students how to obtain publicly available data, manipulate such data, implement the models, and generate typical output expected for a particular analysis. This text aims to overcome several common obstacles in teaching financial modeling. First, most texts do not provide students with enough information to allow them to implement models from start to finish. In this book, we walk through each step in relatively more detail and show intermediate R output to help students make sure they are implementing the analyses correctly. Second, most books deal with sanitized or clean data that have been organized to suit a particular analysis. Consequently, many students do not know how to deal with real-world data or know how to apply simple data manipulation techniques to get the real-world data into a usable form. This book will expose students to the notion of data checking and make them aware of problems that exist when using real-world data. Third, most classes or texts use expensive commercial software or toolboxes. In this text, we use R to analyze financial data and implement models. R and the accompanying packages used in the text are freely available; therefore, any code or models we implement do not require any additional expenditure on the part of the student. Demonstrating rigorous techniques applied to real-world data, this text covers a wide spectrum of timely and practical issues in financial modeling, including return and risk measurement, portfolio management, options pricing, and fixed income analysis.

Statistics And Data Analysis For Financial Engineering

Author: David Ruppert
Publisher: Springer
ISBN: 1493926144
Size: 37.28 MB
Format: PDF, ePub, Mobi
View: 6063
Download and Read
The new edition of this influential textbook, geared towards graduate or advanced undergraduate students, teaches the statistics necessary for financial engineering. In doing so, it illustrates concepts using financial markets and economic data, R Labs with real-data exercises, and graphical and analytic methods for modeling and diagnosing modeling errors. These methods are critical because financial engineers now have access to enormous quantities of data. To make use of this data, the powerful methods in this book for working with quantitative information, particularly about volatility and risks, are essential. Strengths of this fully-revised edition include major additions to the R code and the advanced topics covered. Individual chapters cover, among other topics, multivariate distributions, copulas, Bayesian computations, risk management, and cointegration. Suggested prerequisites are basic knowledge of statistics and probability, matrices and linear algebra, and calculus. There is an appendix on probability, statistics and linear algebra. Practicing financial engineers will also find this book of interest.

Fixed Income Analytics

Author: Wolfgang Marty
Publisher: Springer
ISBN: 3319485415
Size: 68.90 MB
Format: PDF, ePub, Docs
View: 626
Download and Read
This book analyses and discusses bonds and bond portfolios. Different yields and duration measures are investigated. The transition from a single bond to a bond portfolio leads to the equation for the internal rate of return. Its solution is analyzed and compared to different approaches proposed in the financial industry. The impact of different yield scenarios on a model bond portfolio is illustrated. Market and credit risk are introduced as independent sources of risk. Different concepts for assessing credit markets are described. Lastly, an overview of the benchmark industry is offered and an introduction to convertible bonds is given. This book is a valuable resource not only for students and researchers but also for professionals in the financial industry.

Macroeconomic Risk Management Against Natural Disasters

Author: Stefan Hochrainer
Publisher: Springer Science & Business Media
ISBN: 9783835094413
Size: 16.10 MB
Format: PDF, Kindle
View: 1396
Download and Read
Stefan Hochrainer develops a catastrophe risk management model. It illustrates which trade-offs and choices a country must make in managing economic risks due to natural disasters. Budgetary resources are allocated to pre-disaster risk management strategies to reduce the probability of financing gaps. The framework and model approach allows cross country comparisons as well as the assessment of financial vulnerability, macroeconomic risk, and risk management strategies. Three case studies demonstrate its flexibility and coherent approach.

Introduction To The Mathematics Of Finance

Author: Steven Roman
Publisher: Springer Science & Business Media
ISBN: 9780387213644
Size: 50.78 MB
Format: PDF
View: 6912
Download and Read
An elementary introduction to probability and mathematical finance including a chapter on the Capital Asset Pricing Model (CAPM), a topic that is very popular among practitioners and economists. Dr. Roman has authored 32 books, including a number of books on mathematics, such as Coding and Information Theory, Advanced Linear Algebra, and Field Theory, published by Springer-Verlag.

The Measurement Of Market Risk

Author: Pierre-Yves Moix
Publisher: Springer Science & Business Media
ISBN: 9783540421436
Size: 79.99 MB
Format: PDF, ePub
View: 6025
Download and Read
The objective of this book is to set up an economic quantitative model for the assessment of financial market risk. The Measurement of Market Risk reviews the probabilistic modelling of so-called risk factors, which represent the uncertainty of financial markets, and discusses the issue of risk as the perception of uncertainty by individuals when faced with a decision problem. Further, the book discusses the pricing of financial instruments as a function of risk factors. Emphasis is put on options, because they exhibit a non-linear exposure to the risk factors. The core of the text is the assessment of risk for financial portfolios by way of estimating the portfolio probability distribution. A new approach, the Barycentric Discretisation with Piecewise Quadratic Approximation (BDPQA), which poses no assumptions on the risk factor distribution and accounts for the non-linearity of the price functions, is introduced.

An Introduction To Mathematical Finance With Applications

Author: Arlie O. Petters
Publisher: Springer
ISBN: 1493937839
Size: 52.90 MB
Format: PDF, ePub
View: 2470
Download and Read
This textbook aims to fill the gap between those that offer a theoretical treatment without many applications and those that present and apply formulas without appropriately deriving them. The balance achieved will give readers a fundamental understanding of key financial ideas and tools that form the basis for building realistic models, including those that may become proprietary. Numerous carefully chosen examples and exercises reinforce the student’s conceptual understanding and facility with applications. The exercises are divided into conceptual, application-based, and theoretical problems, which probe the material deeper. The book is aimed toward advanced undergraduates and first-year graduate students who are new to finance or want a more rigorous treatment of the mathematical models used within. While no background in finance is assumed, prerequisite math courses include multivariable calculus, probability, and linear algebra. The authors introduce additional mathematical tools as needed. The entire textbook is appropriate for a single year-long course on introductory mathematical finance. The self-contained design of the text allows for instructor flexibility in topics courses and those focusing on financial derivatives. Moreover, the text is useful for mathematicians, physicists, and engineers who want to learn finance via an approach that builds their financial intuition and is explicit about model building, as well as business school students who want a treatment of finance that is deeper but not overly theoretical.

Risk Management

Author: Michael Frenkel
Publisher: Springer Science & Business Media
ISBN: 9783540226826
Size: 42.28 MB
Format: PDF
View: 1114
Download and Read
Dealing with all aspects of risk management that have undergone significant innovation in recent years, this book aims at being a reference work in its field. Different to other books on the topic, it addresses the challenges and opportunities facing the different risk management types in banks, insurance companies, and the corporate sector. Due to the rising volatility in the financial markets as well as political and operational risks affecting the business sector in general, capital adequacy rules are equally important for non-financial companies. For the banking sector, the book emphasizes the modifications implied by the Basel II proposal. The volume has been written for academics as well as practitioners, in particular finance specialists. It is unique in bringing together such a wide array of experts and correspondingly offers a complete coverage of recent developments in risk management.