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Forecasting Volatility in the Financial Markets

Forecasting Volatility in the Financial Markets PDF Author: Stephen Satchell
Publisher: Elsevier
ISBN: 0080471420
Category : Business & Economics
Languages : en
Pages : 428

Book Description
Forecasting Volatility in the Financial Markets, Third Edition assumes that the reader has a firm grounding in the key principles and methods of understanding volatility measurement and builds on that knowledge to detail cutting-edge modelling and forecasting techniques. It provides a survey of ways to measure risk and define the different models of volatility and return. Editors John Knight and Stephen Satchell have brought together an impressive array of contributors who present research from their area of specialization related to volatility forecasting. Readers with an understanding of volatility measures and risk management strategies will benefit from this collection of up-to-date chapters on the latest techniques in forecasting volatility. Chapters new to this third edition:* What good is a volatility model? Engle and Patton* Applications for portfolio variety Dan diBartolomeo* A comparison of the properties of realized variance for the FTSE 100 and FTSE 250 equity indices Rob Cornish* Volatility modeling and forecasting in finance Xiao and Aydemir* An investigation of the relative performance of GARCH models versus simple rules in forecasting volatility Thomas A. Silvey - Leading thinkers present newest research on volatility forecasting - International authors cover a broad array of subjects related to volatility forecasting - Assumes basic knowledge of volatility, financial mathematics, and modelling

Stock Market Volatility

Stock Market Volatility PDF Author: Greg N. Gregoriou
Publisher: CRC Press
ISBN: 1420099558
Category : Business & Economics
Languages : en
Pages : 654

Book Description
Up-to-Date Research Sheds New Light on This Area Taking into account the ongoing worldwide financial crisis, Stock Market Volatility provides insight to better understand volatility in various stock markets. This timely volume is one of the first to draw on a range of international authorities who offer their expertise on market volatility in devel

Forecasting Volatility in the Financial Markets

Forecasting Volatility in the Financial Markets PDF Author: Stephen Satchell
Publisher: Elsevier
ISBN: 0080471420
Category : Business & Economics
Languages : en
Pages : 428

Book Description
Forecasting Volatility in the Financial Markets, Third Edition assumes that the reader has a firm grounding in the key principles and methods of understanding volatility measurement and builds on that knowledge to detail cutting-edge modelling and forecasting techniques. It provides a survey of ways to measure risk and define the different models of volatility and return. Editors John Knight and Stephen Satchell have brought together an impressive array of contributors who present research from their area of specialization related to volatility forecasting. Readers with an understanding of volatility measures and risk management strategies will benefit from this collection of up-to-date chapters on the latest techniques in forecasting volatility. Chapters new to this third edition:* What good is a volatility model? Engle and Patton* Applications for portfolio variety Dan diBartolomeo* A comparison of the properties of realized variance for the FTSE 100 and FTSE 250 equity indices Rob Cornish* Volatility modeling and forecasting in finance Xiao and Aydemir* An investigation of the relative performance of GARCH models versus simple rules in forecasting volatility Thomas A. Silvey - Leading thinkers present newest research on volatility forecasting - International authors cover a broad array of subjects related to volatility forecasting - Assumes basic knowledge of volatility, financial mathematics, and modelling

Returns & Volatility of Sectoral Indices of Nifty

Returns & Volatility of Sectoral Indices of Nifty PDF Author: Dr. T. Peddanna
Publisher: Readworthy
ISBN: 9388121392
Category : Business & Economics
Languages : en
Pages : 154

Book Description
"Generally, the fund managers prefer to include Nifty-listed securities in their portfolio, because they are the leading stocks of the nation, using these companies constructed 11 sectors of stock indices. On the whole, the analysis of 12-year data starting from April 2002 to March 2014 established two phases of sectoral indices of Nifty; they are pre and post-recession periods in the light of sub-prime financial crisis that cropped up across the globe during 2008-09. As this study revealed sector-wise return exposure under different economic conditions, it helps investors to diversify their funds to various sectors which give average return to their portfolios and at lower risk element. However, this study is helped in understanding the risk-return relationship between different sectors of Nifty, as well as ARCH and GARCH models to estimate the volatility in the near future in great detail. The direction of the Nifty index is mainly determined by a few sectors in the long run like Bank, Pharma and Capital Goods indices. Finally, this study is enabled the investors to understand the risk and returns of sectoral indices of Nifty to make effective portfolio decisions under different economic conditions to sustain the portfolio with the same objectives till its tenure. This book is useful for Portfolio Managers, Fund Managers, Investment Managers and Policy makers, Academicians, Research scholars; Post graduate students and other commerce and Management students those working on Returns and volatility of stock market indices and securities."

Pattern Recognition and Machine Intelligence

Pattern Recognition and Machine Intelligence PDF Author: B. Uma Shankar
Publisher: Springer
ISBN: 3319699008
Category : Computers
Languages : en
Pages : 705

Book Description
This book constitutes the proceedings of the 7th International Conference on Pattern Recognition and Machine Intelligence, PReMI 2017,held in Kolkata, India, in December 2017. The total of 86 full papers presented in this volume were carefully reviewed and selected from 293 submissions. They were organized in topical sections named: pattern recognition and machine learning; signal and image processing; computer vision and video processing; soft and natural computing; speech and natural language processing; bioinformatics and computational biology; data mining and big data analytics; deep learning; spatial data science and engineering; and applications of pattern recognition and machine intelligence.

Soft Computing and Signal Processing

Soft Computing and Signal Processing PDF Author: Jiacun Wang
Publisher: Springer
ISBN: 9789811333927
Category : Computers
Languages : en
Pages : 783

Book Description
The book includes research papers on current developments in the field of soft computing and signal processing, selected from papers presented at the International Conference on Soft Computing and Signal Processing (ICSCSP 2018). It features papers on current topics, such as soft sets, rough sets, fuzzy logic, neural networks, genetic algorithms and machine learning. It also discusses various aspects of these topics, like technologies, product implementation, and application issues.

Studies in Accounting and Finance

Studies in Accounting and Finance PDF Author: Arun Kumar Basu
Publisher: Pearson Education India
ISBN: 9788131754450
Category : Accounting
Languages : en
Pages : 304

Book Description


Data-Driven Approaches for Effective Managerial Decision Making

Data-Driven Approaches for Effective Managerial Decision Making PDF Author: Anubha
Publisher: IGI Global
ISBN: 1668475707
Category : Business & Economics
Languages : en
Pages : 354

Book Description
In today’s competitive market, a manager must be able to look at data, understand it, analyze it, and then interpret it to design a smart business strategy. Big data is also a valuable source of information on how customers interact with firms through various mediums such as social media platforms, online reviews, and many more. The applications and uses of business analytics are numerous and must be further studied to ensure they are utilized appropriately. Data-Driven Approaches for Effective Managerial Decision Making investigates management concepts and applications using data analytics and outlines future research directions. The book also addresses contemporary advancements and innovations in the field of management. Covering key topics such as big data, business intelligence, and artificial intelligence, this reference work is ideal for managers, business owners, industry professionals, researchers, scholars, academicians, practitioners, instructors, and students.

GARCH Models

GARCH Models PDF Author: Christian Francq
Publisher: John Wiley & Sons
ISBN: 1119957397
Category : Mathematics
Languages : en
Pages : 469

Book Description
This book provides a comprehensive and systematic approach to understanding GARCH time series models and their applications whilst presenting the most advanced results concerning the theory and practical aspects of GARCH. The probability structure of standard GARCH models is studied in detail as well as statistical inference such as identification, estimation and tests. The book also provides coverage of several extensions such as asymmetric and multivariate models and looks at financial applications. Key features: Provides up-to-date coverage of the current research in the probability, statistics and econometric theory of GARCH models. Numerous illustrations and applications to real financial series are provided. Supporting website featuring R codes, Fortran programs and data sets. Presents a large collection of problems and exercises. This authoritative, state-of-the-art reference is ideal for graduate students, researchers and practitioners in business and finance seeking to broaden their skills of understanding of econometric time series models.

Risk-Return Relationship and Portfolio Management

Risk-Return Relationship and Portfolio Management PDF Author: Raj S. Dhankar
Publisher: Springer Nature
ISBN: 8132239504
Category : Business & Economics
Languages : en
Pages : 324

Book Description
This book covers all aspects of modern finance relating to portfolio theory and risk–return relationship, offering a comprehensive guide to the importance, measurement and application of the risk–return hypothesis in portfolio management. It is divided into five parts: Part I discusses the valuation of capital assets and presents various techniques and models used in this context. Part II then addresses market efficiency and capital market models, particularly focusing on measuring market efficiency, which is a crucial factor in making correct investment decisions. It also analyzes the major capital market models like CAPM and APT to determine to what extent they are suitable for use in developing economies. Part III highlights the significance of risk–return analysis as a prerequisite for investment decisions, while Part IV examines the selection and performance appraisals of portfolios against the backdrop of the risk–return relationship. It also examines new tools such as the value-at-risk application for mutual funds and the applications of the price-to-earnings ratio in portfolio performance measurement. Lastly, Part V explores contemporary issues in finance, including the relevance of Islamic finance in the increasingly volatile global financial system.

Studies in Accounting and Finance: Contemporary Issues and Debates

Studies in Accounting and Finance: Contemporary Issues and Debates PDF Author: Basu and Saha
Publisher: Pearson Education India
ISBN: 9332501084
Category : Accounting
Languages : en
Pages : 300

Book Description
Studies in Accounting and Finance: Contemporary Issues and Debates, useful for business executives, accounting and finance practitioners, researchers, and students discusses contemporary issues in accounting and finance. Topics discussed include globalization of accounting standards, accounting for financial instruments, fair value accounting, accounting for intangibles, corporate governance and accounting, accounting for social and environmental costs, accounting for employee stock option plans, obstacles to the development of high-quality accounting standards, small company reporting, accounting ethics, technology reporting, and global economic meltdown.