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Predicting stock market indexes with world news

2017 4th International Conference on Systems and Informatics (ICSAI), 2017
With the rapid development of economy, people need to raise the accuracy of predicting prices considering late events. The main tackle in raising the accuracy is to fully use the information in daily reports. Unfortunately, most of the current solutions separate the time series statistics, the events reported in text data and prediction in data mining ...
Yunsong Zhong, Qinpei Zhao, Weixiong Rao
openaire   +1 more source

The design and performance of the adaptive stock market index

Algorithmic Finance, 2014
The stock market index is one of the main tools used by investors and financial managers to describe the market and compare the returns on specific investments. Common approaches to index calculation rely on a company's market value generating a weighted average as the index.
Lior Zatlavi   +2 more
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The impact of stock index futures on the Korean stock market

Applied Financial Economics, 2004
This article investigates the impact on the spot market of trading in KOSPI 200 futures. Empirical results show that futures trading increases the speed at which information is impounded into spot market prices, reduces the persistence of information and increases spot market volatility.
Hyun-Jung Ryoo, Graham Smith
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The effect of stock index futures to stock market volatility

2011 International Conference on System science, Engineering design and Manufacturing informatization, 2011
Based on daily closing price of Shanghai-Shenzhen 300 Index from 16st April 2008 to 16st April 2011, the paper constructs the GARCH model in order to study whether the Chinese stock markets show some significant change in the volatility after the introduction of stock index futures trading.
null Zhang Jianfeng   +2 more
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STOCK MARKET INDEX DYNAMICS AND MARKET ACTIVITY

International Journal of Theoretical and Applied Finance
This paper proposes a parsimonious model for stock market index dynamics grounded in information theory. It models market activity, the derivative of the market time, as a linear function of the squared derivative of an exponential moving average from a proxy of the single driving Brownian motion.
ECKHARD PLATEN, RENATA RENDEK
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Modeling stock market indexes with copula functions [PDF]

open access: possiblee-Finanse, 2011
Contemporary financial risk management is significantly based on the analysis of time series of returns. One of the most significant errors frequently committed by analysts is the predominant use of normal distributions when it is clear that the returns are not normal. Copula models and models for non-normal multivariate distributions provide new tools
Jacek Leskow   +2 more
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THE IMPACT OF STOCK MARKET VOLATILITY ON STOCK INDEXES

Современные проблемы развития экономики России и Китая. Материалы IV международной научно-практической конференции. Часть 2, 2023
D.A. Starchukov, Ye.S. Novopashina
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Prediction risk and the forecasting of stock market indexes [PDF]

open access: possible, 1995
In most of the empirical research on capital markets, stock market indexes are used as proxies for the aggregate market development. In previous work we found that a particular market segment might be less efficient than the whole market and hence easier to forecast. In this paper we extend the focus of this investigation by taking a comprehensive look
Haefke, Christian   +1 more
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Index Numbers and Stock Market Indexes

2022
John Lee, Cheng-Few Lee
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Forecasting Croatian stock market index: Crobex

UTMS Journal of Economics, 2013
Forecasting stock returns is considered one of the hardest tasks for every potential investor. This paper attempts to predict the movement of Croatian stock market index Crobex on Zagreb Stock Exchange. Main aim of this paper was to empirically examine the best univariate Autoregressive Integrated Moving Average model for forecasting.
Ivanovic, Zoran   +2 more
openaire   +1 more source

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