scholarly journals Event Study and Impulse Indicator Saturation Analysis to Assess Reaction of Terrorist and Political Events: Evidence from Oil and Gas Sector of Pakistan

2020 ◽  
Vol 4 (1) ◽  
pp. 1-1
Author(s):  
Attiya Yasmin Javid ◽  
Bilal Ahmad

The objective of this study is twofold, first, to assess the impact ofterrorist attacks and political events on returns and volatility oil and gassector of Karachi Stock Exchange from the period of 2004 to 2014.Second, to compare the results of these events applying event studymethodology, event dummy analysis and impulse indicator saturation.Results indicate that the oil and gas sector reacts on the occurrence ofterrorism and political events and the results of two methodologiesevent study and event dummy analysis are almost similar. However,impulse indicator saturation is able to provide better results incomparison to event study and event dummy analysis because as itcaptures all breaks and co-breaks within a sample period,moreover it clearly helps in defining rebounding period of the market. JEL Classification Codes: G12, G14

2020 ◽  
Vol 6 (3) ◽  
pp. 799-820
Author(s):  
Muhammad Husnain ◽  
Kashif Islam ◽  
Waris Ali

This study is based on the problem that how regulations made by oil and gas regulatory authority influences the companies in oil and gas sector of Pakistan. We identify 13 regulatory changes in oil and sector of Pakistan which broadly includes the announcement related to the formulation, functions and responsibilities of oil and gas authority, deregulation and changes in the prices of oil and gas products, interference of apex court into the oil and gas sector and privatization of oil refineries in emerging market of Pakistan. Well-liked event study methodology is used to uncover the impact of regulation announcement on equity prices in Pakistan. Beside this, we also capture the effect of regulation announcement on the firm performance by introducing the dummy variable in ordinary least framework. In line with the financial and econometric theory criteria, we use the sales growth, leverage, liquidity and tangibility as control variables. Study reveal that regulatory announcements have statistically significant aggregate effect on the oil and gas sector of Pakistan stock exchange. We recommend to the policy makers, managers and regulators that the stock prices of oil and gas companies are more sensitive toward the regulatory announcements related to interference of Supreme Court and regulations concerning to the formulation, functions and responsibilities of oil and gas regulatory authority in Pakistan.


2020 ◽  
Vol 11 (2) ◽  
pp. 194
Author(s):  
Fiaz Ahmad SULEHRI ◽  
Amjad ALI

Pakistan is struggling against many problems; out of which political instability and terrorism are crucial problems. These issues hindered the economic growth of the country as well as the confidence of investors. This study has investigated the impact of political events on Pakistan Stock Exchange. This paper uses a standard event study methodology. Data relating to the stock market index has been collected from the website of Pakistan Stock Exchange and relating to political events has been collected from the newspapers of Business Recorder and DAWN. A total of 18 political events was considered in the study out of which 08 events were coded as positive and other 10 were deemed negative. The first day abnormal return, a five-day cumulative abnormal return and ten-day cumulative return was calculated for all of the events. This study found evidence that political events affected the stock market in Pakistan, but their impact is different considering the economic and political implications of these events. Certain events had the strongest impact on the stock market like Nuclear tests for effective defense, the Supreme Court had revoked the Presidential order and Nawaz Sharif had been reinstated, General elections held in the country and the 14th amendment because 14th amendment was related to the elimination of corruption in political parties. Overall, this study laid the foundation to make further explorations into the phenomenon of uncertainty caused by political events in relevance to the stock market in Pakistan.


2019 ◽  
Vol 14 (2) ◽  
pp. 362-378 ◽  
Author(s):  
Vikas Vikas ◽  
Rohit Bansal

Purpose Data envelopment analysis (DEA), a non-parametric technique is used to assess the efficiency of decision-making units which are producing identical set of outputs using identical set of inputs. The purpose of this paper is to find the technical efficiency (TE), pure technical efficiency and scale efficiency (SE) levels of Indian oil and gas sector companies and to provide benchmark targets to the inefficient companies in order to achieve efficiency level. Design/methodology/approach In the present study, a group of 22 oil and gas companies which are listed on the National Stock Exchange for which the data were available for the period 2013–2017 has been considered. DEA has been performed to compare the efficiency levels of all companies. To measure efficiency, three input variables, namely, combined materials consumed and manufacturing expenses, employee benefit expenses and capital investment and two output variables – operating revenues and profit after tax (PAT) have been considered. On the basis of performance for the financial year ending 2017, benchmark targets based on DEA–CCR (Charnes, Cooper and Rhodes) model have been provided to the inefficient companies that should be focused upon by them to attain the efficiency level. The performance of the companies for the past five years has been examined to check the fluctuations in the various efficiency scores of the companies considered in the study over the years. Findings From the results obtained, it is observed that 59 percent, i.e. 13 out of 22 companies are technically efficient. By considering DEA BCC (Banker, Charnes and Cooper) model, 16 companies are observed to be pure technically efficient. In terms of SE, there are 14 such companies. The inefficient units need to improve in terms of input and output variables and for this motive, specified targets are assigned to them. Some of these companies need to upgrade significantly and the managers must take the concern earnestly. The study has also thrown light on the performance of the companies over last five years which shows Oil India Ltd, Gujarat State Petronet Ltd, Petronet LNG Ltd, IGL Ltd, Mahanagar Gas, Chennai Petroleum Corporation Ltd and BPCL Ltd as consistently efficient companies. Research limitations/implications The present study has made an attempt to evaluate the efficiency of Indian oil and gas sector. The results of the study have significant inferences for the policy makers and managers of the companies operating in the sector. The results of the study provide benchmark target level to the companies of Oil and Gas sector which can help the managers of the relatively less efficient companies to focus on the ways to improve efficiency. The improvement in efficiency of a company would not only benefit the shareholders, but also the investors and other stakeholders of the company. Originality/value In the context of Indian economy, very limited number of studies have focused to measure the efficiency of oil and gas sector in the context of Indian economy. The present study aims to provide the latest insight to the efficiency of the companies especially operating in the Indian oil and gas sector. Further, as per our knowledge, this study is distinctive in terms of analyzing the efficiency of Indian oil and gas sector for a period of five years. The longitudinal study of the sector efficiency provides a bird eye view of the average efficiency level and changes in the efficiency levels of the companies over the years.


2012 ◽  
Vol 01 (08) ◽  
pp. 18-22
Author(s):  
Muhammad AZAM ◽  
Syed Anum SHAH

The purpose of this study is to analyze the impact of internal and external financial constraints on investment choice. The data have been taken from 9 major sectors (52 listed firms in the Karachi Stock Exchange) namely; Pharmaceutical & Bio Technology, Textile, Sugar, Tobacco, Chemicals, Oil and Gas, Fixed line Telecommunication, Industrial metal and Mining, and Cement sectors for the time period 2004 to 2010 on annual basis. Multiple regression analysis has been done to examine the relationship among firm’s size, dividend payout ratio, firm’s age, and investment. The empirical findings show that there is positive relationship between the firms’ size and investment while a negative relationship exists between firms’ age and investment. It also reports that there is negative relationship between dividend payout ratio and the investment. This shows that if a firm grows old or high dividend payout ratio then it will tend to spend less for expansion as compared to the young firms.


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


2017 ◽  
Vol 9 (1-3) ◽  
Author(s):  
Faiza Saleem ◽  
Mohd Norfian Alifiah

The aim of this study was to find out the impact of earnings management on dividend policy of oil and gas companies listed at the Karachi stock exchange. The study uses annual data of oil and gas companies for the period from 2008 to 2015. The dependent and independent variables are dividend policy and earnings management and the three control variables are leverage, return on equity and firm size. Modified cross sectional Jones model (1995) was used for calculating discretionary accruals which has been used as proxy for earnings management whereas measurement of dividend policy has been proxy by dividend payout. The findings from regression analysis indicate that earnings management has insignificant relationship with dividend policy of selected firms in Pakistan. Financial crisis in the world and economic decline period are the main reasons of this relationship. In the decline period the firms try to increase manipulation in earnings as a result the company starts reducing dividend payments. It is concluded that there are some other factors that may influence the pattern of dividend payment in the firms.


2019 ◽  
Vol 21 (1) ◽  
pp. 54-67
Author(s):  
Wing Him Yeung ◽  
Yilisha Pang ◽  
Asad Aman

South–South cooperation has been on the rise in recent years. One of the latest examples is the China–Pakistan Economic Corridor (CPEC) proposed by the Chinese and Pakistani governments in 2013. Using event study methodology, this article examines the impact of events and announcements associated with CPEC on the Pakistan Stock Exchange in Pakistan and the Shanghai Stock Exchange in China. The first key finding of this article is that the initial announcement associated with CPEC had stronger and positive short-term impact on the Pakistan Stock Exchange in comparison with the impact of subsequent CPEC events on the stock market. The second key finding is that the short-term impact of the CPEC initial announcement was stronger on the Pakistan Stock Exchange than on the Shanghai Stock Exchange, possibly due to the substantial difference in the size of the two economies. The empirical results of this article have important implications for investors, corporations and regulators to the Global South.


2016 ◽  
Vol 15 (3) ◽  
pp. 269-294
Author(s):  
Narendra Bhana

This article investigates the impact of board changes on the share prices of the companies listed on the Johannesburg stock exchange (JSE) during the period 2004–2008. Four types of board changes are investigated: new appointments, resignation, retirement and joint appointments. Market participants consider a change in the composition of a company’s board as having information content and produce statistically significant change in the share prices of the company concerned. In particular, the informational effects of new appointments are perceived differently by the market from resignations from the company board. The results also provide evidence that market reacts more favourably to the appointment of an executive director in comparison to that of a non-executive director board appointment. JEL classification: C58, D22, E44, G10, L22


Author(s):  
Lisa Cellica ◽  
Ratnawati Kurnia

Objective – The auditor is responsible for obtaining sufficient audit evidence about the accuracy and proper use of the going concern assumption from the company’s management through its financial statements. These evidence are used for the purpose of deciding whether there are material uncertainties about the entity's ability to maintain the continuity of its business. Thus, the objective of this paper is to examine the impact of bankruptcy prediction, company’s financial condition, previous year audit opinion, firm size and audit tenure towards Auditor’s going concern opinion. Methodology/Technique – The object of this paper is the service companies listed on the Indonesia Stock Exchange for the period of 2011-2014. This paper uses secondary data and samples taken were determined based on the purposive sampling method. The regression logistic is used to analyse data. Findings – The results of this research show that bankruptcy prediction, company’s financial condition, previous year audit opinion, firm size, and audit tenure all simultaneously, have a significant impact towards Auditor’s going concern opinion, particularly Previous Year Audit Opinion. Novelty – This paper provides insights into the factors affecting auditors in providing a going concern opinion in the case of Indonesian companies. Type of Paper: Empirical Keywords: Bankruptcy Prediction; Company’s Financial Condition; Previous Year Audit Opinion, Firm Size; Audit Tenure; Auditor’s Going Concern Opinion. JEL Classification: D81, M42.


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