COMPUTER CALCULATION OF SECTORAL FINANCIAL RATIOS FOR LARGE US COMPANIES

2016 ◽  
pp. 193-200 ◽  
Author(s):  
A.V. Shipitsyn ◽  
◽  
N.V. Zhuravleva ◽  
Keyword(s):  
Computer Calculation ◽  
Financial Ratios

ANALISIS PREDIKSI POTENSI KEBANGKRUTAN PADA PT BANK MUAMALAT INDONESIA Tbk PERIODE 2012-2016 DENGAN MENGGUNAKAN METODE ALTMAN MODIFIKASI

2017 ◽  
Vol 5 (2) ◽  
pp. 287-324
Author(s):  
Dewi Laela Hilyatin
Keyword(s):  
Financial Performance ◽  
Financial Structure ◽  
Financial Statements ◽  
Financial Ratios ◽  
Z Score ◽  
Altman Analysis ◽  
Gray Area ◽  
Modification Method ◽  
A Company

Abstract Bankruptcy is a very essential issue that every company should be aware of. Bankruptcy of a company can be minimized by advanced prediction; such as analyzing the financial statements. This study discusses the financial performance of PT Bank Muamalat Indonesia Tbk, which indicates that there is a degression in some number of financial ratios, the closing of offices and firing of employees in 2012-2016, causing he fact that BMI must pay attention and improve its financial performance and anticipate the existence of a bankruptcy in the company. Based on Altman analysis modification for financial performance of PT Bank Muamalat Indonesia Tbk in 2012-2016, it found Z-Score value of 0,825, 0,659, 1,243, 0,982 and 0,892. Based on Z-Score criteria, PT Bank Muamalat Indonesia Tbk is predicted to experience problems in management and financial structure and also in potentially bankruptcy due to Z-Score value <1,1 while the highest Z-Score value is in 2014, which shows the value of Z-Score>1,1 and <2,6, which means the company is in the gray area, meaning the company’s category is not said to be bankrupt and also not healthy. Keywords: Bankruptcy, Altman Modification Method

PENGARUH RASIO KEUANGAN TERHADAP HARGA SAHAM PERUSAHAAN LQ45 PERIODE 2013-2017

2019 ◽  
Vol 5 (1) ◽  
pp. 1-17
Author(s):  
Nuri Maulana Ikhsan ◽  
Yohanes Rully Dermawan
Keyword(s):  
Stock Prices ◽  
Share Price ◽  
Financial Ratios ◽  
Total Asset ◽  
Current Ratio ◽  
Return On Equity ◽  
Book Value ◽  
Earnings Per Share ◽  
Asset Turnover ◽  
Equity Ratio

This study aims to determine the effect of financial ratios on stock prices. Financial ratios used in this study is the Current Ratio, Debt to Equity Ratio, Return On Equity, Total Asset Turnover, Earning Per Share, and Price to Book Value. The type of research used is quantitative to observe the effect of financial ratios on stock prices. This study used a purposive sampling method with a total sample of 20 companies registered in the LQ45 index for the period 2013-2017 and fulfilling the research criteria. The statistical method used is multiple linear regression analysis The results of this study indicate that partially, the variable debt to equity ratio, return on equity, total asset turnover, earnings per share, and price to book value have a significant partial effect on stock prices, while the current ratio variable does not have a partial significant effect on stock prices. Simultaneously the current ratio variable, debt to equity ratio, return on equity, total asset turnover, earnings per share, and price to book value have a significant simultaneous effect on stock prices. And the most dominant influential variable is earnings per share. Keywords:  Current Ratio, Debt to Equity Ratio, Return On Equity, Total Asset Turnover, Earning Per Share, Price to Book Value, and Stock Price.  

The Application of the Combination of Monte Carlo Optimization Method based QSAR Modeling and Molecular Docking in Drug Design and Development

2020 ◽  
Vol 20 (14) ◽  
pp. 1389-1402 ◽  
Author(s):  
Maja Zivkovic ◽  
Marko Zlatanovic ◽  
Nevena Zlatanovic ◽  
Mladjan Golubović ◽  
Aleksandar M. Veselinović
Keyword(s):  
Monte Carlo ◽  
Molecular Docking ◽  
Computer Calculation ◽  
Molecular Graph ◽  
Optimization Method ◽  
Docking Studies ◽  
Optimization Approach ◽  
Qsar Modeling ◽  
Monte Carlo Optimization ◽  
Molecular Docking Studies

In recent years, one of the promising approaches in the QSAR modeling Monte Carlo optimization approach as conformation independent method, has emerged. Monte Carlo optimization has proven to be a valuable tool in chemoinformatics, and this review presents its application in drug discovery and design. In this review, the basic principles and important features of these methods are discussed as well as the advantages of conformation independent optimal descriptors developed from the molecular graph and the Simplified Molecular Input Line Entry System (SMILES) notation compared to commonly used descriptors in QSAR modeling. This review presents the summary of obtained results from Monte Carlo optimization-based QSAR modeling with the further addition of molecular docking studies applied for various pharmacologically important endpoints. SMILES notation based optimal descriptors, defined as molecular fragments, identified as main contributors to the increase/ decrease of biological activity, which are used further to design compounds with targeted activity based on computer calculation, are presented. In this mini-review, research papers in which molecular docking was applied as an additional method to design molecules to validate their activity further, are summarized. These papers present a very good correlation among results obtained from Monte Carlo optimization modeling and molecular docking studies.

scholarly journals Influence of Tourism Seasonality and Financial Ratios on Hotels’ Exit Risk

2021 ◽  
pp. 109634802110160
Author(s):  
Dengjun Zhang ◽  
Jinghua Xie
Keyword(s):  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Hotel Industry ◽  
Financial Ratios ◽  
Market Segment ◽  
Tourism Demand ◽  
Hazards Model ◽  
Two Measures ◽  
The Impact

Tourism seasonality negatively affects hotels’ operational and financial performance and then survival probabilities. Several studies have evaluated the impact of tourism seasonality on hotels’ exit risk. However, the empirical findings are ambiguous, probably due to the overall seasonality and different measures used in these studies. Against this background, this study explores the impact of tourism seasonality on hotel firms’ exit risk, using a proportional hazards model. We controlled for financial ratios, the main factors influencing the exit risk, and used two measures of tourism seasonality by market segment, namely, leisure, business, and conference tourism. The case study is the Norwegian hotel industry. The empirical results suggest that the different seasonal patterns of tourism demand in the market segments mitigate the impact of the overall seasonality on hotels’ exit risk, and that seasonality measures of various tourism segments affect the exit risk in different ways.

A multicriteria hierarchical approach for portfolio selection in a stock exchange

2021 ◽  
Vol 40 (2) ◽  
pp. 1945-1955
Author(s):  
Maria Bernal ◽  
Pavel Anselmo Alvarez ◽  
Manuel Muñoz ◽  
Ernesto Leon-Castro ◽  
Diego Alonso Gastelum-Chavira
Keyword(s):  
Decision Maker ◽  
Portfolio Selection ◽  
Stock Exchange ◽  
Multiple Criteria ◽  
Financial Ratios ◽  
Hierarchical Approach

The objective of the paper is to present a multiple criteria hierarchical process (MCHP) approach for portfolio selection in a stock exchange. One of the problems that investors usually face is which stock should be included in the portfolio. This paper helps investors answer that question, and the paper presents an MCHP approach using different criteria based on financial ratios that the decision maker (in this case, the investor) will give different weights to make a portfolio based on her preferences; different importance is given to each criterion. An example using the Mexican Stock Exchange is presented.

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