… To concisely address the theoretical framework of our paper, let’s assume that there are K …
, respectively representing the K input prices and J output quantities. Therefore, we have K × N …

… , suppose we have already clustered the cost efficiency measures, ς i , into k clusters (homogenous
groups) C 1 , C 2 , ... , C k with C k denoting the indices of observations in k and n k …

… Kekoura Sakouvogui ( Mathematical Statistician, US Census Bureau, Washington, DC,
USA) … A full description of the data and methodology underlying the construction of the …

… number of clusters, k, in the k-means method, among them we focus on Gap Statistic and
Elbow methods.³ By the rule of thumb, we assume that the maximum k value is: kmax = √p . …

Due to the current lockdown and restrictions related to the COVID-19, US commercial and
domestic banks are facing cashflow and financial difficulties. This has led to many vulnerable …

Data Envelopment Analysis (DEA) is a well-known method used to measure the efficiency
of decision making units. In this paper, we study the impact of the financial crisis while …

The efficiency measures of the Stochastic Frontier Analysis (SFA) models are dependent on
distributional assumptions of the one-sided error or inefficiency term. Given the intent of …

A sustainable energy system is key for addressing the world’s environmental and social
challenges. The US is the second largest consumer of energy, with increased energy …

Limitations of the capital asset pricing model (CAPM) continue to present inconsistent empirical
results despite CAPM’s firm mathematical foundations provided in numerous studies. In …

This paper contributes to the sparse debate on the effect of capital adequacy requirements
on banks’ economic efficiency measures. Precisely, we evaluate the out-of-sample …