Stock Price Prediction of the Most Profitable Stock Exchange in the Asia During the Global Financial Crisis: A Comparative Study of Tehran Stock Exchange

2014 ◽  
Vol 9 (2) ◽  
pp. 61-78
Author(s):  
Reza Gharoie Ahangar
Keyword(s):  
Financial Crisis ◽  
Comparative Study ◽  
Stock Price ◽  
Global Financial Crisis ◽  
Stock Exchange ◽  
Stock Price Prediction ◽  
Price Prediction ◽  
The Global Financial Crisis

A Historical Data based Ensemble System for Efficient Stock Price Prediction

2019 ◽  
Vol 12 ◽  
Author(s):  
Vijay Kumar Dwivedi ◽  
Manoj Madhava Gore
Keyword(s):  
Stock Price ◽  
Prediction Models ◽  
Historical Data ◽  
Stock Exchange ◽  
Primary Objective ◽  
Lasso Regression ◽  
Stock Price Prediction ◽  
Price Prediction ◽  
Consistent Manner ◽  
Selection Operator

Background: Stock price prediction is a challenging task. The social, economic, political, and various other factors cause frequent abrupt changes in the stock price. This article proposes a historical data-based ensemble system to predict the closing stock price with higher accuracy and consistency over the existing stock price prediction systems. Objective: The primary objective of this article is to predict the closing price of a stock for the next trading in more accurate and consistent manner over the existing methods employed for the stock price prediction. Method: The proposed system combines various machine learning-based prediction models employing least absolute shrinkage and selection operator (LASSO) regression regularization technique to enhance the accuracy of stock price prediction system as compared to any one of the base prediction models. Results: The analysis of results for all the eleven stocks (listed under Information Technology sector on the Bombay Stock Exchange, India) reveals that the proposed system performs best (on all defined metrics of the proposed system) for training datasets and test datasets comprising of all the stocks considered in the proposed system. Conclusion: The proposed ensemble model consistently predicts stock price with a high degree of accuracy over the existing methods used for the prediction.

scholarly journals The Investment in Fixed Assets Before and After the Global Financial Crisis (Empirical Study for Industry and Investment Sector in Palestine Stock Exchange)

2021 ◽  
Vol 12 (4) ◽  
pp. 52
Author(s):  
Tamer Bahjat Sabri
Keyword(s):  
Financial Crisis ◽  
Global Financial Crisis ◽  
Stock Exchange ◽  
Return On Assets ◽  
Significant Difference ◽  
Fixed Assets ◽  
Before And After ◽  
The Global Financial Crisis ◽  
Investment In Fixed Assets ◽  
Shed Light

This paper seeks to shed light on investment in fixed assets before and after the financial crisis that took place in 2008 and compare the two periods together in the sectors of industry and investment in Palestine Stock Exchange. The period between 2005 – 2007 was chosen to represent to the pre-crisis time and the period between 2010 -2012 was chosen to represent the post-crisis time. The population of the study consists of fifteen organizations from both sectors. To test the hypothesis of the study, the independent samples T-test was employed.The average ratio of fixed assets to the total assets of industry and investment rose from 56.2% before the crisis to 58.5% after the crisis. As for the hypotheses of the study, the findings showed no difference except for the seventh hypothesis. There was a statically significant difference in the ratio of fixed assets to equity between the listed companies that a high return on assets and those that have a low return.

scholarly journals The impact of operating leverage on the capital structure of Johannesburg Stock Exchange-listed firms before and after the 2008 global financial crisis

2018 ◽  
Vol 11 (1) ◽  
Author(s):  
Matabane T. Mohohlo ◽  
Johan H. Hall
Keyword(s):  
Financial Crisis ◽  
Capital Structure ◽  
South African ◽  
Global Financial Crisis ◽  
Stock Exchange ◽  
Johannesburg Stock Exchange ◽  
The Global Financial Crisis ◽  
Operating Leverage ◽  
The Impact ◽  
The Capital Structure

The financial leverage-operating leverage trade-off hypothesis states that as financial leverage increases, management of firms will seek to reduce the exposure to operating leverage in an attempt to balance the overall risk profile of a firm. It is the objective of this study to test this hypothesis and ascertain whether operating leverage can indeed be added to the list of factors that determine the capital structure of South African firms. Forty-six firms listed on the Johannesburg Stock Exchange between 1994 and 2015 are analysed and the impact of operating leverage is determined. The results are split into two periods, that is, the period before the global financial crisis (1994–2007) and after the global financial crisis (2008–2015). The impact of operating leverage during these two periods is then compared to determine whether a change in the impact of operating leverage on the capital structure can be observed especially following the crisis. The results show that the conservative nature of South African firms leading up to 2008 persisted even after the global financial crisis. At an industry level, the results reveal that operating leverage does not have a noticeable impact on capital structure with the exception of firms in the industrials sector of the South African economy.

Financial Early Warning System for Risk Detection and Prevention from Financial Crisis

Data Mining ◽  
2013 ◽  
pp. 1559-1590
Author(s):  
Nermin Ozgulbas ◽  
Ali Serhan Koyuncugil
Keyword(s):  
Financial Crisis ◽  
Early Warning ◽  
Financial Distress ◽  
Business Performance ◽  
Global Financial Crisis ◽  
Stock Exchange ◽  
Warning System ◽  
Chi Square ◽  
Risk Detection ◽  
The Global Financial Crisis

Risk management has become a vital topic for all enterprises especially in financial crisis periods. All enterprises need systems to warn against risks, detect signs and prevent from financial distress. Before the global financial crisis that began 2008, small and medium-sized enterprises (SMEs) have already fought with important financial issues. The global financial crisis and the ensuring flight away from risk have affected SMEs more than larger enterprises When we consider these effects, besides the issues of poor business performance, insufficient information and insufficiencies of managers in finance education, it is clear that early warning systems (EWS) are vital for SMEs for detection risk and prevention from financial crisis. The aim of this study is to develop and present a financial EWS for risk detection via data mining. For this purpose, data of SMEs listed in Istanbul Stock Exchange (ISE) and Chi-Square Automatic Interaction Detector (CHAID) Decision Tree Algorithm were used. By using EWS, we determined the risk profiles and risk signals for risk detection and road maps for risk prevention from financial crisis.

The global financial crisis and stock price behaviour: time evidence from Nigeria

2018 ◽  
Vol 20 (3) ◽  
pp. 373
Author(s):  
Stephen Oseko Migiro ◽  
Patrick Olufemi Adeyeye ◽  
Olufemi Adewale Aluko
Keyword(s):  
Financial Crisis ◽  
Stock Price ◽  
Global Financial Crisis ◽  
The Global Financial Crisis
Sign in / Sign up

Export Citation Format

Share Document