Prediction of Project Cash Flow Using Time-Depended Evolutionary LS-SVM Inference Model

This study conducts a mechanism enhancing the time series data treatment of the time-dependent evolutionary fuzzy support vector machine inference model (EFSIMT). The enhanced model, EFSIMET, was developed particularly to treat construction management problems that contain time series data. EFSIMET is an artificial intelligent hybrid system in which fuzzy logic (FL) deal with vagueness and approximate reasoning; support vector machine (SVM) acts as supervise learning tool; and fast messy genetic algorithm (fmGA) works to optimize FL and SVMs parameters simultaneously. Moreover, to capture the time series data characteristics, the inference model develops fmGA-based searching mechanism to seek suitable weight values to weight the training data points. This random-based searching mechanism has capacity to address the complex and dynamic nature of time series data; thus, it could improve the model's performance significantly. Nowadays, construction managementis facing complex and difficult problems due to the increasing uncertainties during project implementation. Therefore, the second objective of this study is proposed for the application of EFSIMET to treat two typical problems in construction: forecasting cash flow and estimate at completion. Through performance's comparison with previous works, the effectiveness and reliability of EFSIMET are proven. Hence, this model may be used as an intelligent decision support tool to assist the decision-making process to solve the construction management's difficulties.

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CASH FLOW PREDICTION FOR CONSTRUCTION PROJECT USING A NOVEL ADAPTIVE TIME-DEPENDENT LEAST SQUARES SUPPORT VECTOR MACHINE INFERENCE MODEL

Journal of Civil Engineering and Management ◽

10.3846/13923730.2014.893906 ◽

2015 ◽

Vol 21 (6) ◽

pp. 679-688 ◽

Cited By ~ 6

Author(s):

Min-Yuan Cheng ◽

Nhat-Duc Hoang ◽

Yu-Wei Wu

Keyword(s):

Support Vector Machine ◽

Least Squares ◽

Cash Flow ◽

Construction Project ◽

Time Function ◽

Time Dependent ◽

Support Vector ◽

Inference Model ◽

Flow Prediction ◽

Adaptive Time

Cash flow information is crucial for the decision making process in construction management. Due to the complexity and the dynamic progress of a construction project, forecasting cash flow demand throughout various phases of the project remains a challenging problem. This article presents a novel inference model, named as Adaptive Timedependent Least Squares Support Vector Machine (LS-SVMAT) for cash flow prediction. In the LS-SVMAT, Least Squares Support Vector Machine (LS-SVM) is integrated with an adaptive time function (ATF) to generalize the inputoutput mapping of cash flow. Since cash flow data are time-dependent, data points recorded in different periods can contribute dissimilarly to the training process of the prediction model. Thus, the role of the ATF is to determine the appropriate weight associated with each data point at a specific time period. By doing so, LS-SVMAT can better deal with the dynamic nature of the time series. Furthermore, to identify the optimal parameters for the inference model, Differential Evolution (DE) based cross validation process is utilized in this research. Comparing to other benchmark methods, the proposed model has identified the most appropriate time function and has yielded superior forecasting results. Therefore, LS-SVMAT can be a promising tool for construction managers in cash flow prediction.

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

Liquidity ◽

10.32546/lq.v6i1.35 ◽

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.

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ECONOMIC ANALYSIS OF TRAVEL COMPANIES CASH FLOW

Economy and Society ◽

10.32782/2524-0072/2019-20-96 ◽

2019 ◽

Author(s):

Valentine Tarasova ◽

Iryna Kovalevska

Keyword(s):

Economic Analysis ◽

Cash Flow

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Firm Life Cycle based on Cash Flow Patterns and the Financial Characteristics for Unlisted SMEs

Journal of SME Finance ◽

10.33219/jsmef.2019.39.3.002 ◽

2019 ◽

Vol 39 (3) ◽

pp. 31-55

Author(s):

김성규

Keyword(s):

Life Cycle ◽

Cash Flow ◽

Flow Patterns ◽

Firm Life Cycle ◽

Financial Characteristics

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Pengaruh Jumlah Dewan Komisaris, Leverage, Profitabilitas, Intensitas Modal, Cash Flow, Dan Ukuran Perusahaan Terhadap Konservatisme (Studi Empiris Pada Perusahaan Manufaktur Yang Terdaftar Di Bursa Efek Indonesia Tahun 2012-2017)

JURNAL EKOMAKS Jurnal Ilmu Ekonomi Manajemen dan Akuntansi ◽

10.33319/jeko.v8i1.30 ◽

2019 ◽

Vol 8 (1) ◽

pp. 17-24

Author(s):

Siti Suharni ◽

Arini Wildaniyati ◽

Dea Andreana

Keyword(s):

Cash Flow ◽

Sampling Method ◽

Stock Exchange ◽

Secondary Data ◽

Capital Intensity ◽

Financial Statements ◽

Descriptive Statistics ◽

Company Size ◽

Manufacturing Companies ◽

Financial Reports

This study is aimed at examining the effects of the Number of Board of Commissioners, Leverage, Profitability, Capital Intensity, Cash Flow, and Company Size toward Conservatism in the manufacturing companies listed on the Indonesian Stock Exchange (IDX). The population used in this study is the yearly financial statements on firm of manufacturing listed at BEI period 2012-2017, using purposive sampling method. The type of data used is secondary data obtained from yerly financial reports published and downloaded through the official BEI website. Data analyzed with Descriptive statistics, test of classic assumption and exmination of hypothesis with multiple linier regression method. The result of hypothesis research shows variable Profitability and Cash Flow have a significant effect on the ability of Conservatism, while the Number of Board of Commissioners, Leverage, Capital Intensity, and Company Size has no effect on the ability of Conservatism.

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