کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
8144772 1524065 2018 22 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Herding and zero-intelligence agents in the order book dynamics of an artificial double auction market
ترجمه فارسی عنوان
گاو و عوامل صفر اطلاعات در نظم کتاب دینامیک از دو بازار حراج مصنوعی
موضوعات مرتبط
مهندسی و علوم پایه فیزیک و نجوم فیزیک اتمی و مولکولی و اپتیک
چکیده انگلیسی
Effects of herding on the order book dynamics of a double auction market is studied by an agent-based model. This is done by comparing results from a zero-intelligence model and a model in which herding effect is implemented by aggregation of agents who take market orders into opinion groups. The number of opinion groups in a simulation step is determined from previous volatilities of the market as different agents compare the price change over different time intervals. Besides confirming that when herding is included the tail of the distribution of volatility is enhanced, we found several new results. First, the autocorrelation time of volatility is much shorter than the memory of most of the agents because limit orders have strong influence on the location of best bid and best ask. Second, from the relation between bid-ask imbalance and price return we find that herding reduces the chance for a small imbalance to produce a large price change. Furthermore, herding tends to decrease spread. This is because herding decreases the chance that a market order changes the size of the spread. Finally, we find that the relation between spread and volatility in our models does not agree with empirical data, this indicates a difference between agents with no strategies and agents in real financial markets.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Chinese Journal of Physics - Volume 56, Issue 4, August 2018, Pages 1405-1414
نویسندگان
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