paper-with-me

홈 › Papers

An Investigation into the Equivalency of Three Performance Dimensions: Evidence from Commercial Banks in Bangladesh

2020-05-15 · Nusrat Jahan

This study evaluated the three dimensions of performance of commercial banks in Bangladesh by analyzing the trend of the Malmquist Productivity Index (MPI) of the Total Factor Productivity (TFP), Return on Asset (ROA) and Total Stock Return (TSR) over the period 2011 to 2015. The study developed an empirical framework with the intention to examine the equivalency of three dimensions of performance. Since, the measures of performance are different, they cannot be tested in their original form; hence, the growth rate of each category of performance measures were estimated and tested to examine the comparability among them. Evaluation of profitability revealed a decreasing trend and evaluation of stock performance suggests that investors are incurring losses on their investment over the selected period. Evaluation of productivity indicates that productivity regress was recorded initially but at the end of the studied period a modest productivity growth was recorded. Finally, this study was able to ascertain the anticipated equivalency of outcome of the three dimensions of performance.

📄 PDF Abstract BibTeX arXiv:2005.09483

Code (0)

등록된 구현이 없습니다.

Similar Papers 제목 키워드 기반

Investigating the importance of linguistic complexity features across different datasets related to language learning

2018-08-01 · WS 2018 8 · Ildik{\'o} Pil{\'a}n, Elena Volodina

We present the results of our investigations aiming at identifying the most informative linguistic complexity features for classifying language learning levels in three different datasets. The datasets vary across two di…

General ClassificationReading Comprehension

Weight Mapping Properties of a Dual Tree Single Clock Adiabatic Capacitive Neuron

2025-09-15 · Mike Smart, Sachin Maheshwari, Himadri Singh Raghav, Alexander Serb arxiv

Dual Tree Single Clock (DTSC) Adiabatic Capacitive Neuron (ACN) circuits offer the potential for highly energy-efficient Artificial Neural Network (ANN) computation in full custom analog IC designs. The efficient mapping…

A Test Statistic Estimation-based Approach for Establishing Self-interpretable CNN-based Binary Classifiers

2023-03-13 · Sourya Sengupta, Mark A. Anastasio

Interpretability is highly desired for deep neural network-based classifiers, especially when addressing high-stake decisions in medical imaging. Commonly used post-hoc interpretability methods have the limitation that t…

Binary ClassificationDecoderImage ClassificationMedical Image Classification+1

On the Equivalency, Substitutability, and Flexibility of Synthetic Data

2024-03-24 · Che-Jui Chang, Danrui Li, Seonghyeon Moon, Mubbasir Kapadia

We study, from an empirical standpoint, the efficacy of synthetic data in real-world scenarios. Leveraging synthetic data for training perception models has become a key strategy embraced by the community due to its effi…

On the Representation of Causal Background Knowledge and its Applications in Causal Inference

2022-07-10 · Zhuangyan Fang, Ruiqi Zhao, Yue Liu, Yangbo He

Causal background knowledge about the existence or the absence of causal edges and paths is frequently encountered in observational studies. The shared directed edges and links of a subclass of Markov equivalent DAGs ref…

Causal Inference