CUTTING-EDGE DEVELOPMENTS IN HIGH-FREQUENCY FINANCIALECONOMETRICS
In recent years, the availability of high-frequency data andadvances in computing have allowed financial practitioners todesign systems that can handle and analyze this information.Handbook of Modeling High-Frequency Data in Financeaddresses the many theoretical and practical questions raised bythe 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 infinancial engineering, statistics, and the modern financialbusiness arena. Every chapter uses real-world examples to presentnew, original, and relevant topics that relate to newly evolvingdiscoveries in high-frequency finance, such as:
* Designing new methodology to discover elasticity and plasticityof price evolution
* Constructing microstructure simulation models
* Calculation of option prices in the presence of jumps andtransaction costs
* Using boosting for financial analysis and trading
The handbook motivates practitioners to apply high-frequencyfinance to real-world situations by including exclusive topics suchas risk measurement and management, UHF data, microstructure,dynamic multi-period optimization, mortgage data models, hybridMonte Carlo, retirement, trading systems and forecasting, pricing,and boosting. The diverse topics and viewpoints presented in eachchapter ensure that readers are supplied with a wide treatment ofpractical methods.
Handbook of Modeling High-Frequency Data in Finance is anessential reference for academics and practitioners in finance,business, and econometrics who work with high-frequency data intheir everyday work. It also serves as a supplement for riskmanagement and high-frequency finance courses at theupper-undergraduate and graduate levels.