Relationship Between Voluntary Disclosure, Stock Price Synchronicity and Financial Status: Evidence from Chinese Listed Companies
Issue:
Volume 3, Issue 4, December 2018
Pages:
74-80
Received:
1 November 2018
Accepted:
27 November 2018
Published:
2 January 2019
DOI:
10.11648/j.ajomis.20180304.11
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Abstract: The purpose of this paper is to explore how a company’s voluntary information disclosure influences its stock price synchronicity and how the company’s financial status influences the relationship between voluntary information disclosure and stock price synchronicity. This study utilizes the panel regression model with the data of Shanghai and Shenzhen 300 Index constituent stocks from 2010 to 2017 in Chinese stock market to analyze the relationship between voluntary information disclosure and stock price synchronicity and how financial status influences the relationship. The results show that voluntary information disclosure is negatively related to stock price synchronicity. The financial status in general is likely to decrease stock price synchronicity. However the three different indictors, profitability, solvency and development ability, of financial status have different impacts on the relationship between voluntary information disclosure and stock price synchronicity. The company’s profitability strengthens the relationship of voluntary information disclosure and stock price synchronicity. While the solvency and the development ability have little impact on the relationship. It can be seen that investors are paying more attention to the intrinsic value of the companies and the quality of the Chinese stock market is obviously improving. Based on the results the paper proposes some useful suggestion in the end.
Abstract: The purpose of this paper is to explore how a company’s voluntary information disclosure influences its stock price synchronicity and how the company’s financial status influences the relationship between voluntary information disclosure and stock price synchronicity. This study utilizes the panel regression model with the data of Shanghai and Shen...
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Queuing Theory and Its Application Analysis on Bus Services Using Single Server and Multiple Servers Model
Maryam Abubakar Koko,
Muhammad Sani Burodo,
Shamsuddeen Suleiman
Issue:
Volume 3, Issue 4, December 2018
Pages:
81-85
Received:
3 December 2018
Accepted:
14 December 2018
Published:
2 January 2019
DOI:
10.11648/j.ajomis.20180304.12
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Abstract: This research work is based on queuing theory and its application analysis on bus services using single server and multiple servers’ models, a case study of Federal Polytechnic transport system, Kaura Namoda. The aim of this paper is to compare the parameters of single server and multiple servers’ models. Primary data was employed using observation method in the course of conducting this research. The data was analyzed, using manual computations to validate the results. The research revealed that the traffic intensity, average number of customers in the system, average number of customers in the queue, average time spent in the system, Average time spent in the queue of a single server and multiple servers are 0.9355,14.5, 13.5645,0.25, 0.2339 and 0.4677, 1.1974, 0.2619, 0.0206,0.0045 respectively. This therefore indicates that the multiple servers’ model is more efficient than single server model as it minimizes these parameters. It is therefore recommended that the management should provide more school buses in order to reduce the traffic congestion.
Abstract: This research work is based on queuing theory and its application analysis on bus services using single server and multiple servers’ models, a case study of Federal Polytechnic transport system, Kaura Namoda. The aim of this paper is to compare the parameters of single server and multiple servers’ models. Primary data was employed using observation...
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