scholarly journals High frequency trading strategies, market fragility and price spikes: an agent based model perspective

2018 ◽  
Vol 282 (1-2) ◽  
pp. 217-244 ◽  
Author(s):  
Frank McGroarty ◽  
Ash Booth ◽  
Enrico Gerding ◽  
V. L. Raju Chinthalapati
Keyword(s):  
High Frequency ◽  
Trading Strategies ◽  
High Frequency Trading ◽  
Agent Based Model ◽  
Agent Based ◽  
Price Spikes

scholarly journals Rock Around the Clock: An Agent-Based Model of Low- and High-Frequency Trading

2014 ◽  
Author(s):  
Sandrine Jacob Leal ◽  
Mauro Napoletano ◽  
Andrea Roventini ◽  
Giorgio Fagiolo
Keyword(s):  
High Frequency ◽  
High Frequency Trading ◽  
Agent Based Model ◽  
Agent Based

scholarly journals Rock around the clock: An agent-based model of low- and high-frequency trading

2015 ◽  
Vol 26 (1) ◽  
pp. 49-76 ◽  
Author(s):  
Sandrine Jacob Leal ◽  
Mauro Napoletano ◽  
Andrea Roventini ◽  
Giorgio Fagiolo
Keyword(s):  
High Frequency ◽  
High Frequency Trading ◽  
Agent Based Model ◽  
Agent 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.

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