دانلود مقاله ISI انگلیسی شماره 101072
ترجمه فارسی عنوان مقاله

تأثیر تجارت حاشیه ای بر تکامل قیمت سهام: یک مطالعه مدل خطای خطوط آبشاری

عنوان انگلیسی
The impact of margin trading on share price evolution: A cascading failure model investigation
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
101072 2018 8 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Physica A: Statistical Mechanics and its Applications, Volume 505, 1 September 2018, Pages 69-76

ترجمه کلمات کلیدی
تجارت مارجین، شکست مشکوک، سقوط بازار سهام، انتقال فاز، گراف دو طرفه،
کلمات کلیدی انگلیسی
Margin trading; Cascading failure; Stock market crash; Phase transition; Bipartite graph;
پیش نمایش مقاله
پیش نمایش مقاله  تأثیر تجارت حاشیه ای بر تکامل قیمت سهام: یک مطالعه مدل خطای خطوط آبشاری

چکیده انگلیسی

Margin trading in which investors purchase shares with money borrowed from brokers is blamed to be a major cause of the 2015 Chinese stock market crash. We propose a cascading failure model and examine how an increase in margin trading increases share price vulnerability. The model is based on a bipartite graph of investors and shares that includes four margin trading factors, (i) initial margin k, (ii) minimum maintenance r, (iii) volatility v, and (iv) diversity s. We use our model to simulate margin trading and observe how the share prices are affected by these four factors. The experimental results indicate that a stock market can be either vulnerable or stable. A stock market is vulnerable when an external shock can cause a cascading failure of its share prices. It is stable when its share prices are resilient to external shocks. Furthermore, we investigate how the cascading failure of share price is affected by these four factors, and find that by increasing v and r or decreasing k we increase the probability that the stock market will experience a phase transition from stable to vulnerable. It is also found that increasing s decreases resilience and increases systematic risk. These findings could be useful to regulators supervising margin trading activities.