Using Trading System Consolidated Models in Stock Exchange Price Forecasting

2020 ◽  
pp. 364-391
Author(s):  
Liubov Pankratova ◽  
Tetiana Paientko ◽  
Yaroslav Lysenko
Keyword(s):  
Stock Exchange ◽  
Price Forecasting ◽  
Trading System

scholarly journals AN EMPIRICAL STUDY ON THE DYNAMIC RELATIONSHIP BETWEEN CRUDE OIL PRICES AND NIGERA STOCK MARKET

2016 ◽  
Vol 4 (9) ◽  
pp. 157-169
Author(s):  
Rabia Najaf ◽  
Khakan Najaf
Keyword(s):  
Exchange Rate ◽  
Crude Oil ◽  
Stock Exchange ◽  
Oil Prices ◽  
Securities And Exchange Commission ◽  
Exchange Rate Policy ◽  
Trading System ◽  
Dynamic Relationship ◽  
Crude Oil Prices ◽  
Oil Crisis

In this paper, we have examined the crude oil price on the performance of Nigerian stock exchange and exchange rate act as the plausible countercyclical tool .we have applied the different models and collected the results that crude oil prices have direct impact on the stock exchange of Nigeria. The   Nigeria stock exchange is regulated by the Securities and Exchange Commission .Nigeria stock exchange has the automated trading system. The basic facility of Nigeria trading system is (ATS),it is helpful to remote trading system.Consequently, most of the investorsdo trade with the method of ATS.This study is also proving that Nigeria stock exchange has influenced on the performance of the economy, Impact of oil crisis on the Nigeria stock exchange, Impact of crude oil crisis on the development of country, Effect of exchange rate policy on the performance of Nigeria stock exchange.

Survey of Trading Systems for Individual Investors

2011 ◽  
pp. 157-176 ◽  
Author(s):  
M. Kersch ◽  
G. Schmidt
Keyword(s):  
Financial Markets ◽  
Stock Exchange ◽  
Point Of View ◽  
Individual Investors ◽  
Individual Investor ◽  
Trading System ◽  
Trading Systems ◽  
Trading Decisions ◽  
The Individual

Trading decisions in financial markets can be supported by the use of trading algorithms. To evaluate trading algorithms and to generate orders to be executed on the stock exchange trading systems are used. In this chapter, we define the individual investors’ requirements on a trading system, and analyze 17 trading systems from an individual investor’s point of view. The results of our study point out that the best alternative for an individual investor is not one single trading system, but a combination of two different classes of trading systems.

Market microstructure: a comparative study of Bombay stock exchange and national stock exchange

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Anshi Goel ◽  
Vanita Tripathi ◽  
Megha Agarwal
Keyword(s):  
Market Microstructure ◽  
Capital Market ◽  
Stock Exchange ◽  
Arima Model ◽  
Unit Root Test ◽  
Stock Exchanges ◽  
Investment Strategies ◽  
Trading System ◽  
Content Type ◽  
Trading Mechanism

PurposeThe present study seeks to investigate the relative edge between the market microstructure of the two leading stock exchanges of the Indian capital market, that is BSE and NSE with a focus on analysing their trading mechanism, efficiency, liquidity and volatility.Design/methodology/approachWe analyse the microstructure of BSE and NSE on the basis of: (1) trading mechanism – ownership structure, listing of securities, trading system and settlement and clearing process; (2) information efficiency using unit root test, serial correlation, runs test, variance ratio and the ARIMA model; (3) liquidity using trading statistics no. of listed Companies, market capitalisation, no. of trades etc. and (4) volatility using standard deviation and GARCH(1,1) model.FindingsA comprehensive scrutiny on microstructure of BSE and NSE makes it evident that the two leading stock exchanges of India are mostly similar and leave no scope to choose between them. Both the exchanges are demutualised corporate entities with a fully automated trading system in an order-driven market, informationally inefficient as evidenced by the predictability of returns, have shown tremendously growing trading statistics and by and large a declining trend in volatility over the years.Practical implicationsUnderstanding the components of the microstructure black-box will provide the regulatory bodies with an intellectual framework to strengthen the market architecture. Both the exchanges will get aware of the dynamics of trading, can grow to be more competitive and attract more firms for listing and investors for trading of securities. Also, investors, portfolio managers and equity analysts will be able to make better investment strategies by understanding how the market works.Originality/valueResearch in the area of market microstructure has been severely neglected, especially in the context of the Indian market. India is the world's fastest growing economies and we have witnessed tremendous reforms in the capital market. The past two and a half decades have brought about several innovations via demutualisation, screen-based trading, emergence of clearing corporations, innovative financial products and intense use of IT in the Indian stock market. A spurt of reforms and the emerging environment make it crucial to deeply analyse the market structure and design of two premier stock exchanges of India – BSE and NSE.

scholarly journals TINGKAT EFEKTIVITAS SISTEM INFORMASI REMOTE TRADING MENGGUNAKAN METODE UTAUT PADA PT CIPTADANA SECURITIES

2020 ◽  
Vol 5 (1) ◽  
pp. 37-44
Author(s):  
Maria Gabby Winata
Keyword(s):  
System Design ◽  
Stock Exchange ◽  
Employee Performance ◽  
Rapid Development ◽  
User Acceptance ◽  
Trading System ◽  
Stock Trading ◽  
Securities Company ◽  
System Effectiveness ◽  
New System

In English; Along with the rapid development of information technology, the Indonesian Stock Exchange (IDX) began to develop a more efficient transaction concept by starting to apply the concept of floorless trading. Which previously all places and processes of buying and selling shares were only centered on the IDX floor or better known as floor trading. The floorless trading system is a new stock trading transaction system implemented by the IDX by moving the place and process of buying and selling of shares to each securities company from what was previously centralized on the stock exchange (IDX). So now the concept of a new stock sale and purchase transaction, or better known as remote trading, has begun to be developed. The purpose of writing this research is to evaluate the remote trading system implemented by the company and provide input to improve the effectiveness of the remote trading system. This study uses the UTAUT methodology to evaluate and measure user acceptance, the results of which will be a reference to provide input to the company. The results achieved are a new system design created to meet user needs based on the analysis that has been done. With this new system design will increase system effectiveness and employee performance. Dalam Bahasa Indonesia Seiring dengan pesatnya perkembangan teknologi informasi maka Bursa Efek Indonesia (BEI) mulai mengembangkan konsep transaksi yang lebih efisien yakni dengan mulai menerapkan konsep floorless trading. Yang mana sebelumnya seluruh tempat dan proses terjadinya transaksi jual beli saham hanya terpusat di lantai BEI atau lebih dikenal dengan istilah floor trading. Sistem floorless trading merupakan sebuah sistem transaksi jual beli saham baru yang diterapkan oleh BEI dengan memindahkan tempat dan proses terjadinya transaksi jual beli saham ke masing-masing perusahaan efek dari yang tadinya terpusat di lantai bursa (BEI). Maka sekarang ini mulai dikembangkan konsep transaksi jual beli saham yang baru atau lebih dikenal dengan istilah remote trading. Tujuan dari penulisan penelitian ini adalah mengevaluasi system remote trading yang diimplementasikan oleh perusahaan serta memberikan masukan untuk meningkatkan efektivitas system remote trading. Penelitian ini mengunakan metodologi UTAUT untuk melakukan evaluasi dan pengukuran terhadap user acceptance yang hasilnya akan menjadi acuan untuk memberikan masukan kepada perusahaan. Hasil yang dicapai adalah sebuah rancangan sistem baru yang dibuat untuk memenuhi kebutuhan user berdasarkan analisa yang telah dilakukan. Dengan rancangan sistem yang baru ini akan meningkatkan efektivitas sistem dan kinerja karyawan.

scholarly journals Time Evolution of Market Efficiency and Multifractality of the Japanese Stock Market

2022 ◽  
Vol 15 (1) ◽  
pp. 31
Author(s):  
Tetsuya Takaishi
Keyword(s):  
Market Efficiency ◽  
Time Evolution ◽  
Stock Price ◽  
Price Index ◽  
Stock Exchange ◽  
Big Bang ◽  
System Reform ◽  
Trading System ◽  
Stock Trading ◽  
Year 2000

This study investigates the time evolution of market efficiency in the Japanese stock markets, considering three indices: Tokyo Stock Price Index (TOPIX), Tokyo Stock Exchange Second Section Index, and TOPIX-Small. The Hurst exponent reveals that the Japanese markets are inefficient in their early stages and improve gradually. TOPIX and TOPIX-Small showed an anti-persistence around the year 2000, which still persists. The degree of multifractality varies over time and does not show that the Japanese markets are permanently efficient. The multifractal properties of the Japanese markets changed considerably around the year 2000; this may have been caused by the complete migration from the stock trading floor to the Tokyo Stock Exchange’s computer trading system and the financial system reform, also known as the “Japanese Big Bang”.

scholarly journals Efeitos do pregão eletrônico sobre a eficiência e a volatilidade condicional no mercado de ações brasileiro

2019 ◽  
Vol 17 (1) ◽  
pp. 80
Author(s):  
Leandro Maciel ◽  
Rosangela Ballini
Keyword(s):  
Stock Exchange ◽  
Electronic Trading ◽  
Trading System ◽  
Trading Systems ◽  
Global Capital ◽  
Random Walk Hypothesis ◽  
Before And After ◽  
Negative Effect ◽  
Volatility Regimes

<p>Stock exchange automation, characterized by the replacement of floor trading systems by electronic trading systems, is one of the main restructuring processes observed in global capital markets in recent decades. This paper investigates the effects of automation in the São Paulo Stock Exchange (B3), which adopted an electronic trading system in October 2005. Empirical analysis of the Bovespa index rejects the random walk hypothesis for the periods before and after B3 automation, and provides evidence of distinct volatility regimes. After automation, there is an increase in the linear dependence of IBovespa returns, suggesting a negative effect of automation on the Brazilian stock market’s efficiency. On the other hand, in the same period, there is evidence for a reduction in the long-term persistence of conditional volatility, in response to shocks to returns.</p>

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