Stock Selection Using Association Rules on Cash Flow and Accrual Financial Indicators

2018 ◽  
Author(s):  
Amontep Wijitcharoen ◽  
Praisan Padungweang ◽  
Sanit Sirisawatvatana ◽  
Bunthit Watanapa
Keyword(s):  
Cash Flow ◽  
Association Rules ◽  
Financial Indicators ◽  
Stock Selection

scholarly journals Statement of Cash Flow - Operational Activity versus financial indicators of liquidity in the analysis of financial management

2011 ◽  
Vol 3 (2) ◽  
Author(s):  
José Roberto De Souza Francisco ◽  
Aline Rabelo Assis ◽  
Hudson Fernandes Amaral ◽  
Luiz Alberto Bertucci
Keyword(s):  
Cash Flow ◽  
Financial Management ◽  
Financial Indicators ◽  
Operational Activity

Um dos assuntos mais preocupantes para a administração das organizações é a questão da liquidez, na qual está associada ao risco e a rentabilidade do negócio. Neste sentido uma pergunta se coloca: Qual a relação entre o fluxo de caixa operacional e a liquidez da empresa? O objetivo deste artigo é verificar a relação entre a movimentação do fluxo de caixa operacional e os indicadores de liquidez com o intuito de verificar se existe uma maior eficiência na atividade de fluxo de caixa operacional corresponde à eficácia no desempenho dos índices de liquidez da empresas. Sabendo-se que a matéria-prima dos bancos é o recurso financeiro, este artigo procura pesquisar a movimentação do fluxo de caixa operacional em relação aos indicadores de liquidez da empresa. Utilizou-se a correlação entre o fluxo de caixa operacional e os indicadores de liquidez, em seguida a regressão linear para verificar a referência que os índices de liquidez exercem sofre o fluxo de caixa operacional. Conclui-se que existe pouca intensidade de relacionamento entre as variáveis fluxo de caixa operacional e índices de liquidez das instituições financeiras do setor bancos listadas na BOVESPA, constantes da Governança Corporativa, no período de 2008 e 2009.

scholarly journals FINANCIAL DISTRESS DI BUMN INDONESIA DAN FAKTOR-FAKTOR YANG MEMPENGARUHI INVESTASI, LEVERAGE DAN CASH FLOW OPERATION TERHADAP FINANCIAL DISTRESS PADA PERUSAHAAN BUMN

2020 ◽  
Vol 3 (2) ◽  
pp. 226-243
Author(s):  
Aries Widya Gunawan ◽  
Aminullah Assagaf ◽  
Nur Sayidah ◽  
Alvy Mulyaningtyas
Keyword(s):  
Cash Flow ◽  
Financial Distress ◽  
Capital Investment ◽  
Control Variable ◽  
Secondary Data ◽  
Managerial Compensation ◽  
Financial Indicators ◽  
Working Capital ◽  
The Government ◽  
Investment Growth

This study aims to analyze the effect of managerial compensation, working capital, investment growth, and cash flow operations on financial distress in state-owned companies. This study uses several independent variables that empirically affect operating cash flow that has an impact on SOE financial distress. This study also uses financial indicators as control variables to limit the influence of factors or other variables outside the independent variable. The control variable used in this study is leverage. The researcher selected secondary data from 2014-2017 from a sample of 19 State-owned enterprises that received subsidies or equity participation from the government. The analytical method used is a statistical approach through the classical assumption test and linear regression model. The results of this study indicate that Working Capital and leverage have an influence on Financial Distress. Management Compensation, Investment Growth, and Cash Flow Operations have no influence on Financial Distress.  

scholarly journals Research on management evaluation of enterprise sales cash flow percentage method based on the application of quadratic linear regression equations

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Fanxiu Gao ◽  
Reem Alotaibi ◽  
Mohammed Yousuf Abo Keir
Keyword(s):  
Linear Regression ◽  
Cash Flow ◽  
Evaluation Process ◽  
Regression Equations ◽  
Financial Indicators ◽  
Quadratic Regression ◽  
Sales Revenue ◽  
Management Evaluation ◽  
Company Value ◽  
Financial Index

Abstract This article introduces an improved sales percentage method to quantitatively calculate the evaluation process of the corporate sales cash flow percentage method in order to obtain more evidence-based financial data and increase the accuracy of the evaluation results. At the same time, the paper uses SPSS to perform regression analysis on related financial indicators and sales revenue and obtains quadratic regression equations and linear regression equations. The thesis predicts other financial index data based on the predicted future sales revenue, uses the revised linear regression equation to obtain the company's future net cash flow and calculates the company value.

scholarly journals Quantitative Stock Selection Model Based on Long-Short Term Memory (LSTM) Neural Network

2021 ◽  
Vol 4 (3) ◽  
pp. 19-24
Author(s):  
Xiao Wu ◽  
Yanqiu Tang
Keyword(s):  
Short Term Memory ◽  
Selection Model ◽  
Test Method ◽  
Stock Index ◽  
Stock Index Futures ◽  
Financial Indicators ◽  
Stock Selection ◽  
Chinese Market ◽  
Index Futures ◽  
Long Short Term Memory

This article attempted to construct a multi-factor quantitative stock selection model, analyze the financial indicators and transaction data of listed companies in detail via the big data statistical test method, and to find out the alpha excess return relative to the market in the case of short stock index futures as a hedge in the Chinese market.

scholarly journals Comparative analysis of stock selection using a hybrid MCDM approach and modern portfolio theory

2020 ◽  
Vol 6 (2) ◽  
pp. 58-68
Author(s):  
Marija Vuković ◽  
Snježana Pivac ◽  
Zoran Babić
Keyword(s):  
Decision Making ◽  
Multiple Criteria Decision Making ◽  
Portfolio Theory ◽  
Equity Market ◽  
Multiple Criteria ◽  
Financial Indicators ◽  
Stock Selection ◽  
Modern Portfolio Theory ◽  
Significant Difference ◽  
Stock Information

AbstractThe problem of selecting an optimal set of investment stocks is of a huge interest for both individual and institutional investors. This paper compares the hybrid multiple criteria decision making (MCDM) approach to selecting the best stock to invest in, with the stock selection using modern portfolio theory (MPT). When selecting stocks, it is very important to thoroughly analyse stocks, according to multiple criteria, including their equity market indicators, as well as financial indicators. The objective of the research is to compare the stock selection using a hybrid MCDM approach and MPT, which includes only the equity market indicators. The analysed sample includes 18 stocks, which are CROBEX components on the Croatian capital market from January 2017 to January 2019. The rankings of stocks were calculated using five MCDM methods. These were then used to obtain the final hybrid stock ranking, which was compared to the MPT stock selection. The results show that there is a significant difference in the stock rankings. However, the stocks which have not entered any portfolio in MPT selection were ranked as lowest according to the hybrid MCDM approach, which confirms that those stocks are the worst to invest in. The research can serve as a guidance for investors to use all available stock information in their decision making process of investment.

Dividend Payout Ratio: Persoalan Free Cashflow, Debt To Equity Ratio, Kepemilikan Institutional, Investment Opportunity, Dan Kesejahteraan Karyawan

Liquidity ◽  
2017 ◽  
Vol 6 (1) ◽  
pp. 1-11
Author(s):  
Nurlis Azhar ◽  
Helmi Chaidir
Keyword(s):  
Cash Flow ◽  
Significant Influence ◽  
Stock Exchange ◽  
Institutional Ownership ◽  
Free Cash Flow ◽  
Manufacturing Companies ◽  
Flow Ratio ◽  
Prediction Ability ◽  
Employee Welfare ◽  
Equity Ratio

This study was conducted to examine the effect of Free Cash Flow Ratio, Debt Equity Ratio (DER), Institutional Ownership, Employee Welfare and Price Earning Ratio (PER) to Divident Payout Ratio (Parliament) partially on manufacturing companies listed on Indonesia Stock Exchange period 2011-2015. In addition, to test the feasibility of regression model, the influence of Free Cash Flow Ratio, Debt Equity Ratio (DER), Institutional Ownership, Employee Welfare and Price Earning Ratio (PER) to Divident Payout Ratio (DPR) simultaneously at manufacturing company listed on Bursa Indonesia Securities period 2011-2015. The population in this study are 146 manufacturing companies that have been and still listed in Indonesia Stock Exchange period 2011-2013. The sampling technique used was purposive sampling and obtained sample of 42 companies. Data analysis technique used is by using multiple linear regression test. The results showed that Free Cash Flow Ratio, no significant effect on Divident Payout Ratio (DPR). Debt Equity Ratio (DER) has a negative and significant influence on Divident Payout Ratio (DPR), Institutional Ownership has a significant positive effect on Divident Payout Ratio (DPR), Employee Welfare and Price Earning Ratio (PER) has a positive and significant influence on the Divident Payout Ratio ). Simultaneously Free Cash Flow Ratio, Debt Equity Ratio (DER), Institutional Ownership, Employee Welfare and Price Earning Ratio (PER) give effect to Divident Payout Ratio. The prediction ability of the five variables to the Divident Payout Ratio (DPR) is 21.3% as indicated by the adjusted R square of 0.271 while the remaining 79.7% is influenced by other factors not included in the research model.

Retrospective analysis of the resilience of Russian regions as socio-economic systems

2019 ◽  
pp. 46-64 ◽  
Author(s):  
Vladimir V. Klimanov ◽  
Sofiya М. Kazakova ◽  
Anna A. Mikhaylova
Keyword(s):  
Panel Data ◽  
Economic Systems ◽  
Financial Indicators ◽  
Russian Regions ◽  
Integral Index ◽  
Negative Effects ◽  
Economic Resilience ◽  
Correlation Dependence ◽  
The Impact ◽  
The Relationship

The article examines the impact of various socio-economic and financial indicators on the resilience of Russian regions. For each region, the integral index of resilience is calculated, and its correlation dependence with the selected indicators is revealed. The study confirms the relationship between fiscal resilience and socio-economic resilience of the regions. The analysis of panel data for 75 regions from 2007 to 2016 shows that there are significant differences in the dynamics of indicators in different periods. In particular, the degree of exposure to the negative effects of the crises of 2008—2009 and 2014—2015 in non-resilient regions is higher than in resilient ones.

ECONOMIC ANALYSIS OF TRAVEL COMPANIES CASH FLOW

2019 ◽  
Author(s):  
Valentine Tarasova ◽  
Iryna Kovalevska
Keyword(s):  
Economic Analysis ◽  
Cash Flow
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