The Oxford Handbook Of Quantitative Asset Management


The Oxford Handbook Of Quantitative Asset Management
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The Oxford Handbook Of Quantitative Asset Management


The Oxford Handbook Of Quantitative Asset Management
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Author : Bernd Scherer
language : en
Publisher: Oxford University Press
Release Date : 2012

The Oxford Handbook Of Quantitative Asset Management written by Bernd Scherer and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Business & Economics categories.


This book explores the current state of the art in quantitative investment management across seven key areas. Chapters by academics and practitioners working in leading investment management organizations bring together major theoretical and practical aspects of the field.



Quantitative Risk And Portfolio Management


Quantitative Risk And Portfolio Management
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Author : Kenneth Winston
language : en
Publisher: Cambridge University Press
Release Date : 2023-09-30

Quantitative Risk And Portfolio Management written by Kenneth Winston and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-30 with Business & Economics categories.


A book combining the rigour of academic finance with the pragmatism of hands-on finance.



Quantitative Risk And Portfolio Management


Quantitative Risk And Portfolio Management
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Author : Kenneth J. Winston
language : en
Publisher: Cambridge University Press
Release Date : 2023-09-21

Quantitative Risk And Portfolio Management written by Kenneth J. Winston and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-21 with Business & Economics categories.


A modern introduction to risk and portfolio management for advanced undergraduate and beginning graduate students who will become practitioners in the field of quantitative finance, including extensive live data and Python code as online supplements which allow the application of theory to real-world situations.



The Oxford Handbook Of Sovereign Wealth Funds


The Oxford Handbook Of Sovereign Wealth Funds
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Author : Douglas Cumming
language : en
Publisher: Oxford University Press
Release Date : 2017

The Oxford Handbook Of Sovereign Wealth Funds written by Douglas Cumming and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Business & Economics categories.


Sovereign Wealth Funds have become increasingly powerful and influential investors. Their increasing role, and unusual character as both political and market actors, raise a number of issues with regard to finance, politics, regulation, and international business. This handbook draws together the growing but fragmented research on SWFs.



Quantitative Portfolio Optimisation Asset Allocation And Risk Management


Quantitative Portfolio Optimisation Asset Allocation And Risk Management
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Author : M. Rasmussen
language : en
Publisher: Springer
Release Date : 2002-12-13

Quantitative Portfolio Optimisation Asset Allocation And Risk Management written by M. Rasmussen and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-12-13 with Business & Economics categories.


Targeted towards institutional asset managers in general and chief investment officers, portfolio managers and risk managers in particular, this practical book serves as a comprehensive guide to quantitative portfolio optimization, asset allocation and risk management. Providing an accessible yet rigorous approach to investment management, it gradually introduces ever more advanced quantitative tools for these areas. Using extensive examples, this book guides the reader from basic return and risk analysis, all the way through to portfolio optimization and risk characterization, and finally on to fully fledged quantitative asset allocation and risk management. It employs such tools as enhanced modern portfolio theory using Monte Carlo simulation and advanced return distribution analysis, analysis of marginal contributions to absolute and active portfolio risk, Value-at-Risk and Extreme Value Theory. All this is performed within the same conceptual, theoretical and empirical framework, providing a self-contained, comprehensive reading experience with a strongly practical aim.



The Oxford Handbook Of Pricing Management


The Oxford Handbook Of Pricing Management
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Author : Özalp Özer
language : en
Publisher: Oxford University Press
Release Date : 2012-06-07

The Oxford Handbook Of Pricing Management written by Özalp Özer and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-06-07 with Business & Economics categories.


A definitive reference to the theory and practice of pricing across industries, environments, and methodologies. It covers all major areas of pricing including, pricing fundamentals, pricing tactics, and pricing management.



Asset Management And Institutional Investors


Asset Management And Institutional Investors
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Author : Ignazio Basile
language : en
Publisher: Springer
Release Date : 2016-07-27

Asset Management And Institutional Investors written by Ignazio Basile and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-07-27 with Business & Economics categories.


This book analyses investment management policies for institutional investors. It is composed of four parts. The first one analyses the various types of institutional investors, institutions which, with different objectives, professionally manage portfolios of financial and real assets on behalf of a wide variety of individuals. This part goes on with an in-depth analysis of the economic, technical and regulatory characteristics of the different types of investment funds and of other types of asset management products, which have a high rate of substitutability with investment funds and represent their natural competitors. The second part of the book identifies and investigates the stages of the investment portfolio management. Given the importance of strategic asset allocation in explaining the ex post performance of any type of investment portfolio, this part provides an in-depth analysis of asset allocation methods, illustrating the different theoretical and operational solutions available to institutional investors. The third part describes performance assessment, its breakdown and risk control, with an in-depth examination of performance evaluation techniques, returns-based style analysis approaches, and performance attribution models. Finally, the fourth part deals with the subject of diversification into alternative asset classes, identifying the common characteristics and their possible role within the framework of investment management policies. This part analyses hedge funds, private equity, real estate, commodities, and currency overlay techniques.



Machine Learning For Asset Management And Pricing


Machine Learning For Asset Management And Pricing
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Author : Henry Schellhorn
language : en
Publisher: SIAM
Release Date : 2024-03-26

Machine Learning For Asset Management And Pricing written by Henry Schellhorn and has been published by SIAM this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-26 with Computers categories.


This textbook covers the latest advances in machine learning methods for asset management and asset pricing. Recent research in deep learning applied to finance shows that some of the (usually confidential) techniques used by asset managers result in better investments than the more standard techniques. Cutting-edge material is integrated with mainstream finance theory and statistical methods to provide a coherent narrative. Coverage includes an original machine learning method for strategic asset allocation; the no-arbitrage theory applied to a wide portfolio of assets as well as other asset management methods, such as mean-variance, Bayesian methods, linear factor models, and strategic asset allocation; recent techniques such as neural networks and reinforcement learning, and more classical ones, including nonlinear and linear programming, principal component analysis, dynamic programming, and clustering. The authors use technical and nontechnical arguments to accommodate readers with different levels of mathematical preparation. The book is easy to read yet rigorous and contains a large number of exercises. Machine Learning for Asset Management and Pricing is intended for graduate students and researchers in finance, economics, financial engineering, and data science focusing on asset pricing and management. It will also be of interest to finance professionals and analysts interested in applying machine learning to investment strategies and asset management. This textbook is appropriate for courses on asset management, optimization with applications, portfolio theory, and asset pricing.



Advances In Quantitative Asset Management


Advances In Quantitative Asset Management
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Author : Christian Dunis
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Advances In Quantitative Asset Management written by Christian Dunis and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Business & Economics categories.


Advances in Quantitative Asset Management contains selected articles which, for the most part, were presented at the `Forecasting Financial Markets' Conference. `Forecasting Financial Markets' is an international conference on quantitative finance which is held in London in May every year. Since its inception in 1994, the conference has grown in scope and stature to become a key international meeting point for those interested in quantitative finance, with the participation of prestigious academic and research institutions from all over the world, including major central banks and quantitative fund managers. The editor has chosen to concentrate on advances in quantitative asset management and, accordingly, the papers in this book are organized around two major themes: advances in asset allocation and portfolio management, and modelling risk, return and correlation.



The Oxford Handbook Of Credit Derivatives


The Oxford Handbook Of Credit Derivatives
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Author : Alexander Lipton
language : en
Publisher: OUP Oxford
Release Date : 2013-01-17

The Oxford Handbook Of Credit Derivatives written by Alexander Lipton and has been published by OUP Oxford this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-01-17 with Business & Economics categories.


From the late 1990s, the spectacular growth of a secondary market for credit through derivatives has been matched by the emergence of mathematical modelling analysing the credit risk embedded in these contracts. This book aims to provide a broad and deep overview of this modelling, covering statistical analysis and techniques, modelling of default of both single and multiple entities, counterparty risk, Gaussian and non-Gaussian modelling, and securitisation. Both reduced-form and firm-value models for the default of single entities are considered in detail, with extensive discussion of both their theoretical underpinnings and practical usage in pricing and risk. For multiple entity modelling, the now notorious Gaussian copula is discussed with analysis of its shortcomings, as well as a wide range of alternative approaches including multivariate extensions to both firm-value and reduced form models, and continuous-time Markov chains. One important case of multiple entities modelling - counterparty risk in credit derivatives - is further explored in two dedicated chapters. Alternative non-Gaussian approaches to modelling are also discussed, including extreme-value theory and saddle-point approximations to deal with tail risk. Finally, the recent growth in securitisation is covered, including house price modelling and pricing models for asset-backed CDOs. The current credit crisis has brought modelling of the previously arcane credit markets into the public arena. Lipton and Rennie with their excellent team of contributors, provide a timely discussion of the mathematical modelling that underpins both credit derivatives and securitisation. Though technical in nature, the pros and cons of various approaches attempt to provide a balanced view of the role that mathematical modelling plays in the modern credit markets. This book will appeal to students and researchers in statistics, economics, and finance, as well as practitioners, credit traders, and quantitative analysts