Markets for Financial Information
نویسنده
چکیده
منابع مشابه
Machine learning algorithms for time series in financial markets
This research is related to the usefulness of different machine learning methods in forecasting time series on financial markets. The main issue in this field is that economic managers and scientific society are still longing for more accurate forecasting algorithms. Fulfilling this request leads to an increase in forecasting quality and, therefore, more profitability and efficiency. In this pa...
متن کاملA framework for Measuring the Dynamics Connections of Volatility in Oil and Financial Markets
Investigating connections between financial and oil markets is important for investors and policy makers. This knowledge allows for appropriate decision making. In this paper, we measure the dynamic connections of selected stock markets in the Middle East with oil markets, gold, dollar index and euro-dollar and pound-dollar exchange rates during the period February 2007 to August 2019 in networ...
متن کاملInvestigation of the market efficiency of emerging stock markets in the East-European region
The presence of stock market efficiency is a distinctive characteristic of the effectively functioning market economy. Investigation of the market efficiency of seven emerging East-European stock exchanges is carried out as their major stock indices (BELEX15, BET, CROBEX, ISE100, PFTS, RTSI, SOFIX) are studied in respect of long-range dependence (LRD), persistency, and forecasting possibili...
متن کاملDynamic Correlation between Oil Markets and Financial Markets and Oil and Petrochemical Industries in Iran
In this paper we study the effect of volatility in Brent oil prices on the important indices of financial markets in Iran, as well as the return on gold, from 2008 to 2018 using the Multivariate Exponential GARCH Model (MVEGARCH). We also use the ADCC-FIGARCH model to examine the asymmetric dynamic conditional correlation between Brent oil prices and financial markets in Iran. The results of th...
متن کاملExplaining the Blockchain Acceptance Indices in Iran Financial Markets: A Fuzzy Delphi Study
This study was designed to explain the Blockchain acceptance indices in Iran's financial markets aimed at identifying different angles for the implementation of Blockchains. The Blockchain acceptance indices were extracted in 4 levels, 12 variables, and 53 indices of related research literature in the field of e-commerce and mobile banking. To validate the research indicators, the Fuzzy Delphi ...
متن کاملInvestigating the Impact of Developing Financial Markets and Tax Revenues on Economic Growth in Southeast Asian Countries
The purpose of this paper is to investigate the impact of the development of financial markets and tax revenues on economic growth in Southeast Asian countries using data from the period 1980-1980. For this purpose, a supply-oriented endogenous growth pattern and due to the nonlinear relationship between the research variables, the PSTR model has been used. In this study, three indicators of fi...
متن کامل