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STATISTICS AND FINANCE
An Interface
Proceedings of the Hong Kong International Workshop on Statistics in Finance
The University of Hong Kong, 4 – 8 July 1999

edited by Wai-Sum Chan (The University of Hong Kong), Wai Keung Li (The University of Hong Kong), & Howell Tong (The University of Hong Kong)

 
Contents:
  • Heavy-Tailed and Nonlinear Continuous-Time ARMA Models for Financial Time Series (P J Brockwell)
  • Nonlinear State Space Model Approach to Financial Time Series with Time-Varying Variance (G Kitagawa & S Sato)
  • Nonparametric Estimation and Bootstrap for Financial Time Series (J-P Kreiβ)
  • A Note on Kernel Estimation in Integrated Time Series (Y-C Xia et al.)
  • Stylized Facts on the Temporal and Distributional Properties of Absolute Returns: An Update (C W J Granger et al.)
  • Volatility Computed by Time Series Operators at High Frequency (U A Müller)
  • Missing Values in ARFIMA Models (W Palma)
  • Second Order Tail Effects (C G de Vries)
  • Bayesian Estimation of Stochastic Volatility Model via Scale Mixtures Distributions (S T B Choy & C M Chan)
  • On a Smooth Transition Double Threshold Model (Y N Lee & W K Li)
  • Interval Prediction of Financial Time Series (B Cheng & H Tong)
  • A Decision Theoretic Approach to Forecast Evaluation (C W J Granger & M H Pesaran)
  • Portfolio Management and Market Risk Quantification Using Neural Networks (J Franke)
  • Detecting Structural Changes Using Genetic Programming with an Application to the Greater-China Stock Markets (X B Zhang et al.)
  • and other papers
 
Readership: Researchers in finance, time series analysis, economics and actuarial science, as well as investment bankers, stock market analysts and risk managers.
 
 
396pp    Pub. date: Apr 2000  
ISBN:   978-1-86094-237-2
1-86094-237-7
   US$165 / £109

 


396pp    Pub. date: Apr 2000  
ISBN:   978-1-84816-015-6(ebook)
1-84816-015-1(ebook)
   US$215

 


 
 

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