کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5109822 1482851 2017 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A model for unpacking big data analytics in high-frequency trading
ترجمه فارسی عنوان
یک مدل برای تجزیه تحلیل داده های بزرگ در تجارت با فرکانس بالا
موضوعات مرتبط
علوم انسانی و اجتماعی مدیریت، کسب و کار و حسابداری کسب و کار و مدیریت بین المللی
چکیده انگلیسی
This study develops a conceptual model of the 7 V′s of big data analytics to gain a deeper understanding of the strategies and practices of high-frequency trading (HFT) in financial markets. HFT is computerized trading using proprietary algorithms. Empirical data collected from HFT firms and regulators in the US and UK reveals competitive asymmetries between HFTs and low-frequency traders (LFTs) operating more traditional forms of market trading. These findings show that HFT gains extensive market advantages over LFT due to significant investment in advanced technological architecture. Regulators are challenged to keep pace with HFT as different priorities to the 7 V′s are given in pursuit of a short term market strategy. This research has implications for regulators, financial practitioners and investors as the technological arms race is fundamentally changing the nature of global financial markets.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Business Research - Volume 70, January 2017, Pages 300-307
نویسندگان
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