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Handbook of modeling high-frequency data in finance / edited by Frederi G. Viens, Maria C. Mariani, Ionut Florescu.
- Format:
- Book
- Series:
- Wiley handbooks in financial engineering and econometrics
- Language:
- English
- Subjects (All):
- Finance--Econometric models.
- Finance.
- Physical Description:
- xiv, 441 pages : illustrations ; 25 cm.
- Place of Publication:
- Hoboken, N.J. : Wiley, [2012]
- Summary:
- "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"-- Provided by publisher.
- "The book offers a systematic understanding of the recent advances in high-frequency modeling related to real-world situations"-- Provided by publisher.
- Contents:
- Part 1 Analysis of Empirical Data 1
- 1 Estimation of Nig and Vg models for High Frequency Financial Data / José E. Figueroa-López Figueroa-López, José E., Steven R. Lancette Lancette, Steven R., Kiseop Lee Lee, Kiseop, Yanhui Mi Mi, Yanhui 3
- 1.1 Introduction 3
- 1.2 The Statistical Models 6
- 1.3 Parametric Estimation Methods 9
- 1.4 Finite-Sample Performance via Simulations 14
- 1.5 Empirical Results 18
- 1.6 Conclusion 22
- References 24
- 2 A Study of Persistence of Price Movement using High Frequency Financial Data / Dragos Bozdog Bozdog, Dragos, Ionut Florescu Florescu, Ionut, Khaldoun Khashanah Khashanah, Khaldoun, Jim Wang Wang, Jim 27
- 2.1 Introduction 27
- 2.2 Methodology 29
- 2.3 Results 35
- 2.4 Rare Events Distribution 41
- 2.5 Conclusions 44
- References 45
- 3 Using Boosting for Financial Analysis and Trading / Germán Creamer Creamer, Germán 47
- 3.1 Introduction 47
- 3.2 Methods 48
- 3.3 Performance Evaluation 53
- 3.4 Earnings Prediction and Algorithmic Trading 60
- 3.5 Final Comments and Conclusions 66
- References 69
- 4 Impact of Correlation Fluctuations on Securitized Structures / Eric Hillebrand Hillebrand, Eric, Ambar N. Sengupta Sengupta, Ambar N., Junyue Xu Xu, Junyue 75
- 4.1 Introduction 75
- 4.2 Description of the Products and Models 77
- 4.3 Impact of Dynamics of Default Correlation on Low-Frequency Tranches 79
- 4.4 Impact of Dynamics of Default Correlation on High-Frequency Tranches 87
- 4.5 Conclusion 92
- References 94
- 5 Construction of Volatility Indices Using a Multinomial Tree Approximation Method / Dragos Bozdog Bozdog, Dragos, Ionut Florescu Florescu, Ionut, Khaldoun Khashanah Khashanah, Khaldoun, Hongwei Qiu Qiu, Hongwei 97
- 5.1 Introduction 97
- 5.2 New Methodology 99
- 5.3 Results and Discussions 101
- 5.4 Summary and Conclusion 110
- References 115
- Part 2 Long Range Dependence Models 117
- 6 Long Correlations Applied to the Study of Memory Effects in High Frequency (TICK) Data, the Dow Jones Index, and International Indices / Ernest Barany Barany, Ernest, Maria Pia Beccar Varela Varela, Maria Pia Beccar 119
- 6.1 Introduction 119
- 6.2 Methods Used for Data Analysis 122
- 6.3 Data 128
- 6.4 Results and Discussions 132
- 6.5 Conclusion 150
- References 160
- 7 Risk Forecasting with GARCH, Skewed t Distributions, and Multiple Timescales / Alec N. Kercheval Kercheval, Alec N., Yang Liu Liu, Yang 163
- 7.1 Introduction 163
- 7.2 The Skewed t Distributions 165
- 7.3 Risk Forecasts on a Fixed Timescale 176
- 7.4 Multiple Timescale Forecasts 185
- 7.5 Backtesting 188
- 7.6 Further Analysis: Long-Term GARCH and Comparisons using Simulated Data 203
- 7.7 Conclusion 216
- References 217
- 8 Parameter Estimation and Calibration for Long-Memory Stochastic Volatility Models / Alexandra Chronopoulou Chronopoulou, Alexandra 219
- 8.1 Introduction 219
- 8.2 Statistical Inference Under the LMSV Model 222
- 8.3 Simulation Results 227
- 8.4 Application to the S&P Index 228
- 8.5 Conclusion 229
- References 230
- Part 3 Analytical Results 233
- 9 A Market Microstructure Model of Ultra High Frequency Trading / Carlos A. Ulibarri Ulibarri, Carlos A., Peter C. Anselmo Anselmo, Peter C. 235
- 9.1 Introduction 235
- 9.2 Microstmctural Model 237
- 9.3 Static Comparisons 239
- 9.4 Questions for Future Research 241
- References 242
- 10 Multivariate Volatility Estimation with High Frequency Data Using Fourier Method / Maria Elvira Mancino Mancino, Maria Elvira, Simona Sanfelici Sanfelici, Simona 243
- 10.1 Introduction 243
- 10.2 Fourier Estimator of Multivariate Spot Volatility 246
- 10.3 Fourier Estimator of Integrated Volatility in the Presence of Microstructure Noise 252
- 10.4 Fourier Estimator of Integrated Covariance in the Presence of Microstructure Noise 263
- 10.5 Forecasting Properties of Fourier Estimator 272
- 10.6 Application: Asset Allocation 286
- References 290
- 11 The "Retirement" Problem / Cristian Pasarica Pasarica, Cristian 295
- 11.1 Introduction 295
- 11.2 The Market Model 296
- 11.3 Portfolio and Wealth Processes 297
- 11.4 Utility Function 299
- 11.5 The Optimization Problem in the Case π<sub>τ, T</sub> = 0 299
- 11.6 Duality Approach 300
- 11.7 Infinite Horizon Case 305
- References 324
- 12 Stochastic Differential Equations and Levy Models with Applications to High Frequency Data / Ernest Barany Barany, Ernest, Maria Pia Beccar Varela Varela, Maria Pia Beccar 327
- 12.1 Solutions to Stochastic Differential Equations 327
- 12.2 Stable Distributions 334
- 12.3 The Levy Flight Models 336
- 12.4 Numerical Simulations and Levy Models: Applications to Models Arising in Financial Indices and High Frequency Data 340
- 12.5 Discussion and Conclusions 345
- References 346
- 13 Solutions to Integro-Differential Parabolic Problem Arising on Financial Mathematics / Maria C. Mariani Mariani, Maria C., Marc Solas Solas, Marc, Indranil SenGupta SenGupta, Indranil 347
- 13.1 Introduction 347
- 13.2 Method of Upper and Lower Solutions 351
- 13.3 Another Iterative Method 364
- 13.4 Integro-Differential Equations in a Lévy Market 375
- References 380
- 14 Existence of Solutions for Financial Models with Transaction Costs and Stochastic Volatility / Maria C. Mariani Mariani, Maria C., Emmanuel K. Ncheuguim Ncheuguim, Emmanuel K., Indranil SenGupta SenGupta, Indranil 383
- 14.1 Model with Transaction Costs 383
- 14.2 Review of Functional Analysis 386
- 14.3 Solution of the Problem (14.2) and (14.3) in Sobolev Spaces 391
- 14.4 Model with Transaction Costs and Stochastic Volatility 400
- 14.5 The Analysis of the Resulting Partial Differential Equation 408
- References 418.
- Notes:
- Includes bibliographical references and index.
- ISBN:
- 9780470876886
- 0470876883
- OCLC:
- 724644259
- Online:
- Cover image
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