Network topologies of Shanghai stock index

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

The Structural Difference of Shanghai Stock Index before and after 2008: A Copula Based Analysis

The year 2008 witnessed the greatest joint stock reform and financial crisis in Chinese history. After these two cases, significant changes have taken place in investors’ behaviors worldwide, along with which is the occurrence of structure change in stock market. In this paper, we employ Copula model to simulate the joint distribution between Shanghai Stock Index (SSE) and Chinese Shanghai Inde...

متن کامل

The dependence structure analysis among gold price, stock price index of gold mining companies and Shanghai composite index

This paper used different copula-based GARCH models (Copula-GARCH model and Copula-GJR-GARCH model) to analyze the dependence structure among gold price, stock price index of gold mining companies and Shanghai Composite Index in China. The empirical results found that the suitable margins were skew-t distribution, and the GJR-GARCH marginal distribution had better explanatory ability than the G...

متن کامل

Comparative Research on Stock Volatility between Shanghai Composite Index and Dow Jones

Abstract:Accommodating exchange rate factors as exogenous disturbance, this paper proposes a mixed GARCH-Jump model to compares in general the volatility properties of returns series of the Shanghai composite index with those of the Dow Jones index. It also incorporates the asymmetry, clustering and leptokurtosis and fat-tail properties of returns volatility into an integrated analytic frame of...

متن کامل

Short-term Prediction of Tehran Stock Exchange Price Index (TEPIX): Using Artificial Neural Network (ANN)

The main objective of this study is to find out whether an Artificial Neural Network (ANN) will be useful to predict stock market price, which is highly non-linear and uncertain. Specifically, this study will focus on forecasting TSE Price Index (TEPIX) as the most significant index of Iran Stock Market. Many data have been used as inputs to the network. These data are observations of 2000 day...

متن کامل

Developing an Evolutionary Neural Network Model for Stock Index Forecasting

The past few years have witnessed a growing rate of attraction in adoption of Artificial Intelligence (AI) techniques and combining them to improve forecasting accuracy in different fields. Besides, stock market forecasting has always been a subject of interest for most investors and professional analysts. Stock market forecasting is a tough problem because of the uncertainties involved in the ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Physics Procedia

سال: 2010

ISSN: 1875-3892

DOI: 10.1016/j.phpro.2010.07.012