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  • 1
    UID:
    almafu_9959328429602883
    Format: 1 online resource (xiv, 441 pages) : , illustrations
    ISBN: 9781118204580 , 1118204581 , 9781118204634 , 1118204638
    Content: This exciting volume presents cutting-edge developments in high frequency financial econometrics, spanning a diverse range of topics: stochastic modeling, statistical analysis of high-frequency data, models in econophysics, applications to the analysis of high-frequency data, systems and complex adaptive systems in finance, among a host of others. Written, in part, on the outgrowth of several recent conferences in the subject matter and in concert with over two-dozen experts in the field, the main purpose of the handbook is to mathematically illustrate the fundamental implementation of high-frequency models in the banking and financial industries, both at home and abroad, through use of real-world, time-sensitive applications. By using examples derived from consulting projects, current research and course instruction, each chapter in the book offers a systematic understanding of the recent advances in high-frequency modeling related to real-world situations. Every effort is made to present a balanced treatment between theory and practice, as well as to showcase how accuracy and efficiency in implementing various methods can be used as indispensable tools. To by-pass tedious computation, software illustrations are presented in an assortment of packages, ranging from R, C++, EXCEL-VBA, Minitab, to JMP/SAS. Shedding light on some of the most relevant open questions in the analysis of high-frequency data, this volume will be of interest to graduate students, researchers and industry professionals.
    Note: Includes index. , Frontmatter -- Analysis of Empirical Data. Estimation of NIG and VG Models for High Frequency Financial Data / Još E Figueroa-L̤pez, Steven R Lancette, Kiseop Lee, Yanhui Mi -- A Study of Persistence of Price Movement Using High Frequency Financial Data / Dragos Bozdog, Ionut Florescu, Khaldoun Khashanah, Jim Wang -- Using Boosting for Financial Analysis and Trading / Germ̀n Creamer -- Impact of Correlation Fluctuations on Securitized Structures / Eric Hillebrand, Ambar N Sengupta, Junyue Xu -- Construction of Volatility Indices Using a Multinomial Tree Approximation Method / Dragos Bozdog, Ionut Florescu, Khaldoun Khashanah, Hongwei Qiu -- Long Range Dependence Models. Long Correlations Applied to the Study of Memory Effects in High Frequency (TICK) Data, the Dow Jones Index, and International Indices / Ernest Barany, Maria Pia Beccar Varela -- Risk Forecasting with GARCH, Skewed Distributions, and Multiple Timescales / Alec N Kercheval, Yang Liu -- Parameter Estimation and Calibration for Long-Memory Stochastic Volatility Models / Alexandra Chronopoulou -- Analytical Results. A Market Microstructure Model of Ultra High Frequency Trading / Carlos A Ulibarri, Peter C Anselmo -- Multivariate Volatility Estimation with High Frequency Data Using Fourier Method / Maria Elvira Mancino, Simona Sanfelici -- The ₃Retirement₄ Problem / Cristian Pasarica -- Stochastic Differential Equations and Levy Models with Applications to High Frequency Data / Ernest Barany, Maria Pia Beccar Varela -- Solutions to Integro-Differential Parabolic Problem Arising on Financial Mathematics / Maria C Mariani, Marc Salas, Indranil Sengupta -- Existence of Solutions for Financial Models with Transaction Costs and Stochastic Volatility / Maria C Mariani, Emmanuel K Ncheuguim, Indranil Sengupta -- Index.
    In: EBL
    Additional Edition: Print version: Handbook of Modeling High-Frequency Data in Finance. Wiley 2011 ISBN 9780470876886
    Language: English
    Keywords: Electronic books. ; Electronic books. ; Electronic books.
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    UID:
    gbv_721093779
    Format: Online-Ressource (xiv, 441 p.) , ill
    Edition: Online-Ausg. 2011 Electronic reproduction; Available via World Wide Web
    ISBN: 9780470876886 , 9780470876886 , 9781283332842
    Series Statement: Wiley handbooks in financial engineering and econometrics
    Content: 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 fi
    Note: Includes bibliographical references and index , Handbook of Modeling High-Frequency Data in Finance; Contents; Preface; Contributors; Part One Analysis of Empirical Data; 1 Estimation of NIG and VG Models for High Frequency Financial Data; 1.1 Introduction; 1.2 The Statistical Models; 1.3 Parametric Estimation Methods; 1.4 Finite-Sample Performance via Simulations; 1.5 Empirical Results; 1.6 Conclusion; References; 2 A Study of Persistence of Price Movement using High Frequency Financial Data; 2.1 Introduction; 2.2 Methodology; 2.3 Results; 2.4 Rare Events Distribution; 2.5 Conclusions; References , 3 Using Boosting for Financial Analysis and Trading3.1 Introduction; 3.2 Methods; 3.3 Performance Evaluation; 3.4 Earnings Prediction and Algorithmic Trading; 3.5 Final Comments and Conclusions; References; 4 Impact of Correlation Fluctuations on Securitized structures; 4.1 Introduction; 4.2 Description of the Products and Models; 4.3 Impact of Dynamics of Default Correlation on Low-Frequency Tranches; 4.4 Impact of Dynamics of Default Correlation on High-Frequency Tranches; 4.5 Conclusion; References; 5 Construction of Volatility Indices Using A Multinomial Tree Approximation Method , 5.1 Introduction5.2 New Methodology; 5.3 Results and Discussions; 5.4 Summary and Conclusion; References; Part Two Long Range Dependence Models; 6 Long Correlations Applied to the Study of Memory Effects in High Frequency (TICK) Data, the Dow Jones Index, and International Indices; 6.1 Introduction; 6.2 Methods Used for Data Analysis; 6.3 Data; 6.4 Results and Discussions; 6.5 Conclusion; References; 7 Risk Forecasting with GARCH, Skewed t Distributions, and Multiple Timescales; 7.1 Introduction; 7.2 The Skewed t Distributions; 7.3 Risk Forecasts on a Fixed Timescale , 7.4 Multiple Timescale Forecasts7.5 Backtesting; 7.6 Further Analysis: Long-Term GARCH and Comparisons using Simulated Data; 7.7 Conclusion; References; 8 Parameter Estimation and Calibration for Long-Memory Stochastic Volatility Models; 8.1 Introduction; 8.2 Statistical Inference Under the LMSV Model; 8.3 Simulation Results; 8.4 Application to the S&P Index; 8.5 Conclusion; References; Part Three Analytical Results; 9 A Market Microstructure Model of Ultra High Frequency Trading; 9.1 Introduction; 9.2 Microstructural Model; 9.3 Static Comparisons; 9.4 Questions for Future Research , References10 Multivariate Volatility Estimation with High Frequency Data Using Fourier Method; 10.1 Introduction; 10.2 Fourier Estimator of Multivariate Spot Volatility; 10.3 Fourier Estimator of Integrated Volatility in the Presence of Microstructure Noise; 10.4 Fourier Estimator of Integrated Covariance in the Presence of Microstructure Noise; 10.5 Forecasting Properties of Fourier Estimator; 10.6 Application: Asset Allocation; References; 11 The "Retirement" Problem; 11.1 Introduction; 11.2 The Market Model; 11.3 Portfolio and Wealth Processes; 11.4 Utility Function , 11.5 The Optimization Problem in the Case p(t,T] º 0 , Electronic reproduction; Available via World Wide Web
    Additional Edition: ISBN 9781118204580
    Additional Edition: ISBN 9781118204634
    Additional Edition: Erscheint auch als Druck-Ausgabe Handbook of modeling high-frequency data in finance Hoboken, NJ : Wiley, 2012 ISBN 0470876883
    Additional Edition: ISBN 9780470876886
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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