We design a procedure for measuring the United States capital stock of money implied by the Divisia monetary aggregate service flow, in a manner consistent with the present-value model of economic capital stock. We permit non-martingale expectations and time varying discount rates. Based on Barnett’s (1991) definition of the economic stock of money, we compute the U.S. economic stock of money b...

There have been numerous studies on corporate social responsibility (CSR) and its relation to corporate performance. Recently, studies in this field have paid particular attention to the method of measurement in order to identify the CSR activities. One of the widely recognized measures to proxy CSR is the Environmental, Social, and Governance (ESG) score. This paper examines the relationship b...

There is a positive association between stock-for-stock acquirers’ pre-merger abnormal accruals and post-merger announcement lawsuits. The market only partially anticipates the effects of post-merger announcement lawsuits at the merger announcement and the post-merger announcement long-term market underperformance is largely limited to litigated acquisitions. Overall, the evidence suggests that...

The main goal of this paper is to propose a new approach for efficiency measurement and ranking of stocks. Data envelopment analysis (DEA) is one of the popular and applicable techniques that can be used to reach this goal. However, there are always concerns about negative data and uncertainty in financial markets. Since the classical DEA models cannot deal with negative and imprecise values, i...

The goal of this paper is to identify and discuss scalability issues for the measurement-based analysis of the availability in large-scale networks using IP multicast technology. Additionally, a solution for this task is proposed named MQM (multicast quality monitor). The utilization of IP multicast in economically critical environments such as the distribution of stock exchange prices is incre...

   Evaluate the performance of companies on the Stock Exchange using non-parametric methods is very important. DEA and DEA-R with the strategies for piecewise linear frontier production function and use of available data, assess the stock company. In this study, using a neural network algorithm DEA and DEA-R is suggested to classify the first companies in the stock exchange; Secondly, using the...