scholarly journals Which Pairs of Stocks should we Trade? Selection of Pairs for Statistical Arbitrage and Pairs Trading in Karachi Stock Exchange

2015 ◽  
Vol 54 (3) ◽  
pp. 215-244
Author(s):  
Laila Taskeen Qazi ◽  
Atta Ur Rahman . ◽  
Saleem Gul

Pairs Trading refers to a statistical arbitrage approach devised to take advantage from short term fluctuations simultaneously depicted by two stocks from long run equilibrium position. In this study a technique has been designed for the selection of pairs for pairs trading strategy. Engle-Granger 2-step Cointegration approach has been applied for identifying the trading pairs. The data employed in this study comprised of daily stock prices of Commercial Banks and Financial Services Sector. Restricted pairs have been formed out of highly liquid log share price series of 22 Commercial Banks and 19 Financial Services companies listed on Karachi Stock Exchange. Sample time period extended from November 2, 2009 to June 28, 2013 having total 911 observations for each share prices series incorporated in the study. Out of 231 pairs of commercial banks 25 were found cointegrated whereas 40 cointegrated pairs were identified among 156 pairs formed in Financial Services Sector. Furthermore a Cointegration relationship was estimated by regressing one stock price series on another, whereas the order of regression is accessed through Granger Causality Test. The mean reverting residual of Cointegration regression is modeled through the Vector Error Correction Model in order to assess the speed of adjustment coefficient for the statistical arbitrage opportunity. The findings of the study depict that the cointegrated stocks can be combined linearly in a long/short portfolio having stationary dynamics. Although for the given strategy profitability has not been assessed in this study yet the VECM results for residual series show significant deviations around the mean which identify the statistical arbitrage opportunity and ensure profitability of the pairs trading strategy. JEL classifications: C32, C53, G17 Keywords: Pairs Trading, Statistical Arbitrage, Engle-Granger 2-step Cointegration Approach, VECM.

2020 ◽  
Vol 3 (2) ◽  
pp. 170
Author(s):  
Herdian Ayu Andreana Beru Tarigan ◽  
Darminto Hartono Paulus

<p>Increasing competition in the Indonesian banking industry has encouraged many banks to improve the quality of services to customers by utilizing information technology developments. Service innovation in the use of information technology encourages banks to enter the era of digital banking services. However, the development of digital banking services also increases the risks faced by banks. The purpose of this study is to provide an overview of the implementation of digital banking services and customer protection for risks from digital banking services. The method used in this study is an empirical legal research method. The results of this study indicate that the implementation of digital banking services is regulated by OJK Regulation No.12/POJK.03/2018. The existence of this OJK Regulation is expected by banks as providers of digital banking services to always prioritize risk management in the use of information technology. In addition, this study also shows the existence of 2 types of customer protection for the use of digital banking services, namely preventive protection in the form of legislation related to customer protection in the financial services sector and repressive protection in the form of bank accountability for complaints from customers using digital banking services.</p>


2021 ◽  
Vol 14 (2) ◽  
pp. 79
Author(s):  
Gratiela Georgiana Noja ◽  
Eleftherios Thalassinos ◽  
Mirela Cristea ◽  
Irina Maria Grecu

This paper empirically evidences the role played by board characteristics (skills, diversity, structure, independence) in supporting risk management disclosure and shaping the financial performance of European companies operating in the financial services sector. We exploit data selected from Thomson Reuters Eikon database in 2020 for the last fiscal year 2019 (FY0) on a longitudinal sample of 144 companies with the head offices in Europe (25 countries). Following an original empirical approach based on two modern financial econometric techniques, namely structural equation modelling (SEM) and network analysis through Gaussian graphical models (GGMs), the research endeavor outlines the decisive importance of an optimal board size, enhanced management skills, upward gender diversity (encompassed by women participation on board management), and structure (mainly a two-tier type, one management board, and a distinctive supervisory board) as fundamentals of risk management strategies, leading to improved financial achievements and a higher profitability for the analyzed companies.


2018 ◽  
Vol 10 (8) ◽  
pp. 2777 ◽  
Author(s):  
Elies Seguí-Mas ◽  
Fernando Polo-Garrido ◽  
Helena Bollas-Araya

Sustainability reporting and assurance have considerably increased in the last decades. Among different sectors, ‘sensitive sectors’ attracted the attention of many academics. However, most of research works were focused only on ‘environmentally-sensitive sectors’. Therefore, after the loss of trust caused by the lack of transparency due to the crisis, ‘socially-sensitive sectors’ as financial services sector needs to strengthen users’ confidence in the credibility of their reported activities. The aim of this paper is to assess assurance practices worldwide in one of the main ‘socially-sensitive sectors’: the financial services sector. We study what factors are associated with adoption of assurance and choice of assurance provider, and whether assurance statements differ across providers. Our results reveal that, compared to the global context, companies operating in the financial services sector are more likely to adopt assurance and to choose accountants as assurance providers. Our findings show that adoption of assurance depends on company size. We also found that companies using the financial services sector supplement are more prone to adopt assurance. Our results also evidence that choice of assurance provider depends on the country and listing status Finally, our research shows a great variability in assurance statements across providers.


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