scholarly journals Investigating the effects of global financial crisis on stock price and operating profit: Evidence from Tehran Stock Exchange

2013 ◽  
pp. 2387-2392
Author(s):  
Seyedeh Shideh Dianat Jahromi ◽  
Hossein Karbasi Yazdi ◽  
Ahmad Sarlak
Author(s):  
Mohammad Benny Alexandri ◽  
Raeny Dwisanti

US and Indonesia stock markets are entering record heights without being offset by economic growthand profitability growth of their traded companies. There are several indicators for the stock marketbubble: (1) Price Ratio (Ear Ratio); (2) Price Ratio / Book (PB Ratio), the latter comparing thenominal price of one share at a market with the book value (the value of company's assets). Thecurrent PB ratio of the composite stock price index being 3.3 means that for each shares the assetvalue of which is 1 IDR, the stock would be worth 3.3 IDR. This is one of the most expensive price in the world today. Based on the above, for Indonesian stock market sharp decline is just a matter of time and waiting. This decline will be much sharper if triggered by the US financial crisis. We can also also see a bubble emerging from increasingly irrational investment attitudes. Currently, in addition to high prices for stocks and bonds, investors have started looking at investment opportunities in digital currencies. This research tries to know the potential of financial crisis and itseffect for the financial market in Indonesia. 


2021 ◽  
Vol 12 (4) ◽  
pp. 52
Author(s):  
Tamer Bahjat Sabri

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.


2018 ◽  
Vol 11 (1) ◽  
Author(s):  
Matabane T. Mohohlo ◽  
Johan H. Hall

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.


2019 ◽  
Vol 14 (1) ◽  
pp. 47
Author(s):  
Bambang Purnomo Hediono ◽  
Insiwijati Prasetyaningsih

This study aims to examine the effect of Good Corporate Governance (GCG) implementation on  company,s financial performance. Sample size in this study were 16 companies listed on the Indonesia Stock Exchange. The Company’s Good Corporate Governance Index Score is based on ranking the SWA Governance Index. The analytical method used in this study uses a linear regression model. The results showed that GCG had a positive effect on corporate income, operating profit and post-tax profit. This shows that GCG has a positive effect on financial performance. Meanwhile, GCG  has no significant effect on stock price. Key Words: Good Corporate Governance (GCG), Financial Performance ABSTRAK Penelitian ini bertujuan untuk menguji pengaruh implementasi Good Corporate Governance (GCG) terhadap kinerja keuangan Perusahaan. Ukuran sampel dalam penelitian ini adalah 16 perusahaan yang terdaftar di Bursa Efek Indonesia. Skor Indek GCG Perusahaan mendasarkan pada perangkingan Indek Tata Kelola SWA.  Metode analisis yang digunakan dalam penelitian ini menggunakan model regresi  linier. Hasil penelitian menunjukkan bahwa GCG berpengaruh positif terhadap pendapatan perusahaan, laba operasional dan laba setelah pajak. Hal ini menunjukkan bahwa implementasi GCG berpengaruh positif terhadap kinerja keuangan. Sementara itu, GCG tidak berpengaruh signifikan terhadap kinerja harga saham.  Kata Kunci: Good Corporate Governance (GCG), Kinerja Keuangan


Data Mining ◽  
2013 ◽  
pp. 1559-1590
Author(s):  
Nermin Ozgulbas ◽  
Ali Serhan Koyuncugil

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.


2019 ◽  
Vol 46 (3) ◽  
pp. 435-450
Author(s):  
Dinesh Jaisinghani ◽  
Muskan Kaur ◽  
Mohd Merajuddin Inamdar

Purpose The purpose of this paper is to analyze different seasonal anomalies for the Israeli securities markets for the pre- and post-global financial crisis periods. Design/methodology/approach The closing values of six indices of the Tel Aviv Stock Exchange (TASE) of Israel have been considered. The time frame ranges from 2000 to 2018. Further, the overall time frame has been segregated into pre- and post-financial crisis periods. The study employs dummy variable regression technique for assessing different calendar anomalies. Findings The results show evidence pertaining to different seasonal anomalies for the Israeli markets. The results specifically show that the anomalies change considerably across the pre- and post-financial crisis periods. The results are more apparent for three anomalies including the day of the week effect, the month of the year effect and the holiday effect. However, anomalies including the Halloween effect and the trading month effect are found to be insignificant across both pre- and post-financial crisis periods. Originality/value The study is first of its kind that analyzes different seasonal anomalies across pre- and post-financial crisis periods for the Israeli markets. The study provides newer insights about the overall return patterns observed in different indices of the TASE.


2017 ◽  
Vol 16 (1) ◽  
pp. 90-113 ◽  
Author(s):  
Emenike Kalu O.

This article investigates weak-form efficiency of the Nigerian Stock Exchange (NSE) and its sectors for the post-global financial crisis period using autocorrelation test, Ljung–Box Q test, McLeod-Li portmanteau test and ARCH-LM test. The descriptive statistics show that the returns of NSE and its sectors are positive. The results show that (i) investors can only predict banking sector return using superior fundamental analysis of their intrinsic values; (ii) prediction of the NSE 30 and Shari’ah equities sector returns require nonlinear model and fundamental analysis and (iii) consumer goods sector and oil and gas sector may be predicted using both technical and fundamental analyses. JEL Classification: G11, 14


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