Financial Econometrics Modeling: Market Microstructure, Factor Models and Financial Risk Measures

Financial Econometrics Modeling: Market Microstructure, Factor Models and Financial Risk Measures
Author :
Publisher : Springer
Total Pages : 277
Release :
ISBN-10 : 9780230298101
ISBN-13 : 0230298109
Rating : 4/5 (01 Downloads)

Book Synopsis Financial Econometrics Modeling: Market Microstructure, Factor Models and Financial Risk Measures by : G. Gregoriou

Download or read book Financial Econometrics Modeling: Market Microstructure, Factor Models and Financial Risk Measures written by G. Gregoriou and published by Springer. This book was released on 2010-12-13 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book proposes new methods to build optimal portfolios and to analyze market liquidity and volatility under market microstructure effects, as well as new financial risk measures using parametric and non-parametric techniques. In particular, it investigates the market microstructure of foreign exchange and futures markets.

Financial Econometrics Modeling: Derivatives Pricing, Hedge Funds and Term Structure Models

Financial Econometrics Modeling: Derivatives Pricing, Hedge Funds and Term Structure Models
Author :
Publisher : Springer
Total Pages : 229
Release :
ISBN-10 : 9780230295209
ISBN-13 : 0230295207
Rating : 4/5 (09 Downloads)

Book Synopsis Financial Econometrics Modeling: Derivatives Pricing, Hedge Funds and Term Structure Models by : G. Gregoriou

Download or read book Financial Econometrics Modeling: Derivatives Pricing, Hedge Funds and Term Structure Models written by G. Gregoriou and published by Springer. This book was released on 2015-12-26 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book proposes new tools and models to price options, assess market volatility, and investigate the market efficiency hypothesis. In particular, it considers new models for hedge funds and derivatives of derivatives, and adds to the literature of testing for the efficiency of markets both theoretically and empirically.

Handbook of Modeling High-Frequency Data in Finance

Handbook of Modeling High-Frequency Data in Finance
Author :
Publisher : John Wiley & Sons
Total Pages : 468
Release :
ISBN-10 : 9781118204566
ISBN-13 : 1118204565
Rating : 4/5 (66 Downloads)

Book Synopsis Handbook of Modeling High-Frequency Data in Finance by : Frederi G. Viens

Download or read book Handbook of Modeling High-Frequency Data in Finance written by Frederi G. Viens and published by John Wiley & Sons. This book was released on 2011-11-16 with total page 468 pages. Available in PDF, EPUB and Kindle. Book excerpt: CUTTING-EDGE DEVELOPMENTS IN HIGH-FREQUENCY FINANCIAL ECONOMETRICS In recent years, the availability of high-frequency data and advances in computing have allowed financial practitioners to design systems that can handle and analyze this information. Handbook of Modeling High-Frequency Data in Finance addresses the many theoretical and practical questions raised by the nature and intrinsic properties of this data. A one-stop compilation of empirical and analytical research, this handbook explores data sampled with high-frequency finance in financial engineering, statistics, and the modern financial business arena. Every chapter uses real-world examples to present new, original, and relevant topics that relate to newly evolving discoveries in high-frequency finance, such as: Designing new methodology to discover elasticity and plasticity of price evolution Constructing microstructure simulation models Calculation of option prices in the presence of jumps and transaction costs Using boosting for financial analysis and trading The handbook motivates practitioners to apply high-frequency finance to real-world situations by including exclusive topics such as risk measurement and management, UHF data, microstructure, dynamic multi-period optimization, mortgage data models, hybrid Monte Carlo, retirement, trading systems and forecasting, pricing, and boosting. The diverse topics and viewpoints presented in each chapter ensure that readers are supplied with a wide treatment of practical methods. Handbook of Modeling High-Frequency Data in Finance is an essential reference for academics and practitioners in finance, business, and econometrics who work with high-frequency data in their everyday work. It also serves as a supplement for risk management and high-frequency finance courses at the upper-undergraduate and graduate levels.

Nonlinear Financial Econometrics: Forecasting Models, Computational and Bayesian Models

Nonlinear Financial Econometrics: Forecasting Models, Computational and Bayesian Models
Author :
Publisher : Springer
Total Pages : 216
Release :
ISBN-10 : 9780230295223
ISBN-13 : 0230295223
Rating : 4/5 (23 Downloads)

Book Synopsis Nonlinear Financial Econometrics: Forecasting Models, Computational and Bayesian Models by : G. Gregoriou

Download or read book Nonlinear Financial Econometrics: Forecasting Models, Computational and Bayesian Models written by G. Gregoriou and published by Springer. This book was released on 2010-12-21 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book investigates several competing forecasting models for interest rates, financial returns, and realized volatility, addresses the usefulness of nonlinear models for hedging purposes, and proposes new computational techniques to estimate financial processes.

Nonlinear Financial Econometrics: Markov Switching Models, Persistence and Nonlinear Cointegration

Nonlinear Financial Econometrics: Markov Switching Models, Persistence and Nonlinear Cointegration
Author :
Publisher : Springer
Total Pages : 214
Release :
ISBN-10 : 9780230295216
ISBN-13 : 0230295215
Rating : 4/5 (16 Downloads)

Book Synopsis Nonlinear Financial Econometrics: Markov Switching Models, Persistence and Nonlinear Cointegration by : Greg N. Gregoriou

Download or read book Nonlinear Financial Econometrics: Markov Switching Models, Persistence and Nonlinear Cointegration written by Greg N. Gregoriou and published by Springer. This book was released on 2010-12-08 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book proposes new methods to value equity and model the Markowitz efficient frontier using Markov switching models and provide new evidence and solutions to capture the persistence observed in stock returns across developed and emerging markets.

Data Analysis with SPSS for Survey-based Research

Data Analysis with SPSS for Survey-based Research
Author :
Publisher : Springer Nature
Total Pages : 273
Release :
ISBN-10 : 9789811601934
ISBN-13 : 9811601933
Rating : 4/5 (34 Downloads)

Book Synopsis Data Analysis with SPSS for Survey-based Research by : Saiyidi Mat Roni

Download or read book Data Analysis with SPSS for Survey-based Research written by Saiyidi Mat Roni and published by Springer Nature. This book was released on 2021-06-21 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is written for research students and early-career researchers to quickly and easily learn how to analyse data using SPSS. It follows commonly used logical steps in data analysis design for research. The book features SPSS screenshots to assist rapid acquisition of the techniques required to process their research data. Rather than using a conventional writing style to discuss fundamentals of statistics, this book focuses directly on the technical aspects of using SPSS to analyse data. This approach allows researchers and research students to spend more time on interpretations and discussions of SPSS outputs, rather than on the mundane task of actually processing their data.

The Econometrics of Financial Markets

The Econometrics of Financial Markets
Author :
Publisher : Princeton University Press
Total Pages : 630
Release :
ISBN-10 : 9781400830213
ISBN-13 : 1400830214
Rating : 4/5 (13 Downloads)

Book Synopsis The Econometrics of Financial Markets by : John Y. Campbell

Download or read book The Econometrics of Financial Markets written by John Y. Campbell and published by Princeton University Press. This book was released on 2012-06-28 with total page 630 pages. Available in PDF, EPUB and Kindle. Book excerpt: The past twenty years have seen an extraordinary growth in the use of quantitative methods in financial markets. Finance professionals now routinely use sophisticated statistical techniques in portfolio management, proprietary trading, risk management, financial consulting, and securities regulation. This graduate-level textbook is intended for PhD students, advanced MBA students, and industry professionals interested in the econometrics of financial modeling. The book covers the entire spectrum of empirical finance, including: the predictability of asset returns, tests of the Random Walk Hypothesis, the microstructure of securities markets, event analysis, the Capital Asset Pricing Model and the Arbitrage Pricing Theory, the term structure of interest rates, dynamic models of economic equilibrium, and nonlinear financial models such as ARCH, neural networks, statistical fractals, and chaos theory. Each chapter develops statistical techniques within the context of a particular financial application. This exciting new text contains a unique and accessible combination of theory and practice, bringing state-of-the-art statistical techniques to the forefront of financial applications. Each chapter also includes a discussion of recent empirical evidence, for example, the rejection of the Random Walk Hypothesis, as well as problems designed to help readers incorporate what they have read into their own applications.