scholarly journals Multi Layer Perceptron Modelling in the Housing Market

2020 ◽  
Author(s):  
Ku Ruhana Ku Mahamud ◽  
Azuraliza Abu Bakar ◽  
Norita Md. Norwawi
Keyword(s):  
Regression Analysis ◽  
Real Estate ◽  
Housing Market ◽  
Predictive Ability ◽  
Multi Layer Perceptron ◽  
Kuala Lumpur ◽  
Mlp Model

The study examines the use of multi layer perception network (MLP) in predicting the price of terrace houses in Kuala Lumpur (KL). Nine factors that significantly influence the price were used in this attempt. Housing data from 1994 to 1996 were presented to the network for training. Tested results from the model obtained for various years were compared using regression analysis. The study provides the predictive ability of the trained MLP model that can be used as an alternative predictor in real estate analysis.  

scholarly journals ANALISIS PERTUMBUHAN PERUSAHAAN, STRUKTUR MODAL DAN KEBIJAKAN DIVIDEN TERHADAP NILAI PERUSAHAAN SEKTOR PROPERTI, REAL ESTATE DAN KONSTRUKSI BANGUNAN

2020 ◽  
Vol 7 (2) ◽  
pp. 62-70
Author(s):  
Amna Mawardi
Keyword(s):  
Regression Analysis ◽  
Real Estate ◽  
Capital Structure ◽  
Firm Value ◽  
Dividend Policy ◽  
Stock Exchange ◽  
Secondary Data ◽  
Predictive Ability ◽  
Construction Companies ◽  
Company Growth

This study aims to analyze the effect of company growth, capital structure, and dividend policy on firm value in property, real estate, and building construction companies listed on the Indonesia Stock Exchange for the period 2013-2017. The data used are secondary data and the method used is panel data regression analysis with the help of the Eviews 9 program to obtain a comprehensive picture of the relationship between one variable with another variable. The sample in this study consisted of 19 companies that were consistently listed on the IDX for 5 years in the 2013-2017 period with purposive sampling as a sampling method. The results of this study are that the variable capital structure and dividend policy have a significant influence on the firm's value partially at a level of significance of less than 5%. While the company's growth variable does not have a significant effect on the company's value partially. The results of the simultaneous regression analysis found that company growth, capital structure, and dividend policy together affect the value of the company. The predictive ability of the three variables on firm value is 72.1% while the remaining 27.9% is influenced by other factors

PENGARUH LEVERAGE, LIKUIDITAS, DAN UKURAN PERUSAHAAN TERHADAP PROFITABILITAS (STUDI KASUS PADA PERUSAHAAN SUB SECTOR REAL ESTATE AND PROPERTY DI BURSA EFEK INDONESIA PERIODE 2015-2018)

2020 ◽  
Vol 4 (02) ◽  
Author(s):  
Pingkan Saraswati
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Real Estate ◽  
Linear Regression Analysis ◽  
T Test ◽  
Company Size ◽  
Return On Assets ◽  
F Test ◽  
Sample Technique ◽  
A Company

Profitabilitya has significance for theecompany because it is one of the bases for evaluating the condition of a company. The level off profitability describes the ecompany's performance as seen from the company's ability to generate profits. Profitability in this study is calculated by return on assets (ROA) because it can show how the company's performance is nseenn from the overall use of assets owned by the company in generating profits. Thissstudyyaims to examine the leverage, liquidity, and size off thee company yaffect the eprofitability. The ssampling ttechniqueu used in this study wass purposivee samplingg, which issaa sample technique ethat uses certain ncriteria.. There earee16 companies ethat are sampled in this sstudy.mThe nanalysiss techniquee usedd is multiplee linearr regressionn using SPSS version 22. Multiplee linear regression analysis susess the eclassicc assumption ntest, nincluding mthe nnormality ntest, multicollonityy test,,heteroscedasticityytest,, and dautocorrelationn test.m Tootestttheevariablessused theecoefficient of determination test, t-test, f-test. The results of this study indicate that there is no significant effect on the variable leverage on profitability. Liquidity hass a positivee effectt onn profitability. There eis snoo significantt effectt off thee Company Size variablee on nthee profitability variable..

Faktor-Faktor Yang Mempengaruhi Dividend Payout Ratio Yang Dimoderasi FCF Pada Sektor Properti

IJAcc ◽  
2020 ◽  
Vol 1 (1) ◽  
pp. 1-16
Author(s):  
Mintauli Debataraja ◽  
Po. Abas Sunarya ◽  
Lusyani Sunarya
Keyword(s):  
Regression Analysis ◽  
Real Estate ◽  
Dividend Payout ◽  
Purposive Sampling

Penelitian ini bertujuan untuk menguji dan menganalisis pengaruh profitabilitas, leverage, likuiditas, ukuran perusahaan dan pertumbuhan perusahaan terhadap DPR pada perusahaan sektor properti & real estate yang terdaftar di BEI periode 2012-2016. Jenis data yang digunakan dalam penelitian ini adalah data sekunder dari laporan keuangan perusahaan. Pemilihan sampel dengan menggunakan metode purposive sampling. Jumlah sampel sebanyak 9 perusahaan dari 48 perusahaan sehingga data yang dianalisis sebanyak 45 data. Pengujian hipotesis dengan menggunakan analis regresi linear berganda dan Moderated regression analysis (MRA). Hasil yang didapat pada penelitian ini menunjukkan bahwa ROI (0,001 < 0,05), DER (0,034 < 0,05) dan CR (0,005 < 0,05) berpengaruh signifikan terhadap DPR, sedangkan Size (0,023 > 0,05), Growth (0,275 > 0,05) dan FCO (0,377 > 0,05) tidak berpengaruh terhadap DPR

scholarly journals Who Bears the Burden of Real Estate Transfer Taxes? Evidence from the German Housing Market

2021 ◽  
Author(s):  
Mathias Dolls ◽  
Clemens Fuest ◽  
Carla Krolage ◽  
Florian Neumeier
Keyword(s):  
Real Estate ◽  
Housing Market ◽  
German Housing Market

scholarly journals Assessment of Average Market Investment Returns in Development of the Residential Real Estate in the Moscow Region

2019 ◽  
Vol 12 (3) ◽  
pp. 140-152
Author(s):  
S. G. Sternik ◽  
Ya. S. Mironchuk ◽  
E. M. Filatova
Keyword(s):  
Real Estate ◽  
Initial Data ◽  
Housing Market ◽  
Return On Investment ◽  
High Reliability ◽  
Real Estate Market ◽  
Moscow Region ◽  
Residential Real Estate ◽  
Market Return ◽  
Total Investment

In the previous work, G.M. Sternik and S.G. Sternik justified the options for the method of assessing the average current annual return on investment in residential real estate development, depending on the nature and content of the initial data on the costs contained in the sources of information (construction costs or total investment costs). Based on the analysis of the composition of the elements of development costs used in various data sources, we corrected the coefficients that allowed us to move from the assessment of the current annual return on investment in development in relation to the cost (full estimated cost) of construction to the assessment of the current annual return on investment in relation to the total investment costs. This calculation method was tested on the example of the housing market inMoscow. As a result, we concluded it is possible its use for investment management in the housing market. In this article, based on G.M. Sternik and S.G. Sternik’s methodology for assessing the return on investment into the development, and taking also into account the increase of information openness of the real estate market, we improved the calculation formulas, using new sources of the initial data, and recalculated the average market return on investment into the development of residential real estate in the Moscow region according to the data available for 2014–2017. We concluded that, since 2015, the average market return on investment takes negative values, i.e. the volume of investment in construction exceeds the revenue from sales in the primary market. However, in the second half of 2017, the indicator has increased to positive values, which was due to a greater extent of the decrease in the volume of residential construction in the region. The data obtained by us, together with the improved method of calculations, allow predicting with high reliability the potential of the development of the regional markets of primary housing for the purpose of investment and state planning of housing construction programs.

Brokerage fee, ownership expropriation and earnings management of Malaysian property companies

2018 ◽  
Vol 36 (4) ◽  
pp. 461-482 ◽  
Author(s):  
Lik Jing Ung ◽  
Rayenda Khresna Brahmana ◽  
Chin-Hong Puah
Keyword(s):  
Real Estate ◽  
Earnings Management ◽  
Stock Exchange ◽  
Real Estate Industry ◽  
Kuala Lumpur ◽  
Probit Regression ◽  
Content Type ◽  
The Real Estate ◽  
Report Data ◽  
The Relationship

Purpose The purpose of this paper is to investigate whether real estate companies manipulate their earnings through the brokerage fee across ownership expropriation or not. Design/methodology/approach This study considers Kuala Lumpur Stock Exchange listed real estate firms to investigate how the brokerage fee in the real estate industry might affect the earnings management of firms across its ownership expropriation. Using annual report data, the authors investigate the associations over a panel for the period 2008−2012. Robust panel regression is used to divulge the probability values with reference by probit regression. Findings Overall, the results show that high brokerage fees would drive more events of earnings management and that, generally, the ownership concentration among Malaysian real estate firms significantly affects the earnings management of the firms. Practical implications This study shows that firm profitability and brokerage fees enhance the probability of firm’s earnings management. A low brokerage fee would reflect low revenue to the company. Therefore, management would opt to manipulate earnings in order to overstate earnings, which garners more interest from investors. Originality/value Real estate values in Malaysia have climbed steadily over the years due to a combination of reasons giving companies a higher brokerage fee. Earnings management has become a big issue for property investors. The study demonstrates the relationship between earnings management and brokerage fee across ownership expropriation which can be considered by shareholders in their own strategic planning and investors in their own investing.

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