scholarly journals Model-Based Estimation of High Frequency Jump Diffusions with Microstructure Noise and Stochastic Volatility

2008 ◽  
Author(s):  
Charles S. Bos
Keyword(s):  
Stochastic Volatility ◽  
High Frequency ◽  
Microstructure Noise ◽  
Jump Diffusions ◽  
Frequency Jump ◽  
Model Based

High-Frequency Financial Econometrics

2014 ◽  
Author(s):  
Yacine Aït-Sahalia ◽  
Jean Jacod
Keyword(s):  
High Frequency ◽  
Practical Importance ◽  
Financial Econometrics ◽  
Trading Strategies ◽  
Financial Data ◽  
Jump Processes ◽  
High Frequency Trading ◽  
Microstructure Noise ◽  
Econometric Methods ◽  
Mathematical Foundations

High-frequency trading is an algorithm-based computerized trading practice that allows firms to trade stocks in milliseconds. Over the last fifteen years, the use of statistical and econometric methods for analyzing high-frequency financial data has grown exponentially. This growth has been driven by the increasing availability of such data, the technological advancements that make high-frequency trading strategies possible, and the need of practitioners to analyze these data. This comprehensive book introduces readers to these emerging methods and tools of analysis. The book covers the mathematical foundations of stochastic processes, describes the primary characteristics of high-frequency financial data, and presents the asymptotic concepts that their analysis relies on. It also deals with estimation of the volatility portion of the model, including methods that are robust to market microstructure noise, and address estimation and testing questions involving the jump part of the model. As the book demonstrates, the practical importance and relevance of jumps in financial data are universally recognized, but only recently have econometric methods become available to rigorously analyze jump processes. The book approaches high-frequency econometrics with a distinct focus on the financial side of matters while maintaining technical rigor, which makes this book invaluable to researchers and practitioners alike.

Stochastic Volatility: A Tale of Co-Jumps, Non-Normality, GMM and High Frequency Data

2019 ◽  
Author(s):  
Christian-Oliver Ewald ◽  
Yihan Zou
Keyword(s):  
Stochastic Volatility ◽  
High Frequency ◽  
High Frequency Data ◽  
Frequency Data

scholarly journals Estimating the leverage parameter of continuous‐time stochastic volatility models using high frequency S&P 500 and VIX

2011 ◽  
Vol 37 (11) ◽  
pp. 1048-1067 ◽  
Author(s):  
Isao Ishida ◽  
Michael McAleer ◽  
Kosuke Oya
Keyword(s):  
Stochastic Volatility ◽  
Continuous Time ◽  
High Frequency ◽  
Stochastic Volatility Models ◽  
Volatility Models

Research on Cable High Frequency Passive Equivalent Circuit Model Based on Vector Fitting

2021 ◽  
Author(s):  
Dandan Zhang ◽  
Xiang Cai ◽  
Wenwu Pan ◽  
Junzhe Peng
Keyword(s):  
Equivalent Circuit ◽  
High Frequency ◽  
Equivalent Circuit Model ◽  
Circuit Model ◽  
Vector Fitting ◽  
Model Based
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