scholarly journals Empirical Analysis of Factors Influencing Residential Property Prices in Malaysia

2018 ◽  
Vol 1 (1) ◽  
Author(s):  
Nazaria Md Aris
Keyword(s):  
Consumer Price Index ◽  
Residential Property ◽  
Causality Test ◽  
Vector Error Correction ◽  
Factors Influencing ◽  
Property Prices ◽  
Augmented Dickey Fuller ◽  
Residential Properties ◽  
One Year ◽  
Year 2000

This study concerns the factors influencing the prices for residential properties in Malaysia as well as their relationship towards residential property prices. The data collected and analysed in this research is from quarter one year 2000 to quarter four year 2015. Various determinants have been identified namely country population, Gross Domestic Product, household income, inflation and lending rates in this research. The time-series analysis methodologies adopted in this research are the Augmented Dickey-Fuller (ADF) and Philip-Perron (PP) test for unit root, Johansen and Juselius Cointegration Test, Granger Causality Test for Vector Error Correction Model (VECM) and also Variance Decomposition (VDC).  In this study, these two variables, population growth (POPGROWTH) and inflation measured by the consumer price index (CPI) were found has a significant and positive effect towards the price of residential properties in Malaysia.

scholarly journals EVALUATION OF THE RELATIONSHIP BETWEEN CREDIT DEFAULT SWAPS AND EURO AND USD EXCHANGE RATES: THE CASE OF TURKEY

2020 ◽  
Vol 8 (2) ◽  
pp. 1113-1130
Author(s):  
Turgay MÜNYAS
Keyword(s):  
Exchange Rates ◽  
Credit Default Swap ◽  
Cointegration Analysis ◽  
Causality Test ◽  
Vector Error Correction ◽  
Credit Default ◽  
Augmented Dickey Fuller ◽  
Stationarity Tests ◽  
The Relationship

The aim of this study is to evaluate the relationship between Turkey's Credit Default Swap (CDS) premiums and the USD and Euro exchange rates. In order to measure this relationship, time series analyses were used for the period January 3rd, 2005 to December 31st, 2019. Augmented Dickey-Fuller (ADF) and Phillips-Perron (PP) tests were performed for stationarity tests. Then, Johansen cointegration analysis was used to determine long-term relationships. The vector error correction model was used to determine short-term relationships, and the Granger causality test was used to determine causality directions. CDS was used as the dependent variable, and the USD and EURO exchange rates were used as the independent variables. As a result of the study, it was found that the USD rate and EURO rate variables have a long-term relationship with CDS. CDS increases by 38.8% when the USD rate increases by 1%, and CDS increases by 24.2% when the Euro rate increases by 1%. When we look at the coefficient values, it is seen that the effect of the USD rate on CDS is higher compared to that of the Euro rate. In addition, a bidirectional causality relationship was found between the variables.

Critical factors determining rental value of residential property in Ibadan metropolis, Nigeria

2014 ◽  
Vol 32 (3) ◽  
pp. 224-240 ◽  
Author(s):  
Oluseyi Joshua Adegoke
Keyword(s):  
Positive Impact ◽  
Empirical Studies ◽  
Hedonic Pricing ◽  
Residential Property ◽  
Living Room ◽  
Critical Factors ◽  
Content Type ◽  
Factors Influencing ◽  
Residential Properties ◽  
Rental Value

Purpose – This paper adds to the emerging knowledge base in the Nigeria and is of relevance to all residential property stakeholders. A number of empirical studies have demonstrated that several factors influence residential property values. However, there is a paucity of empirical research on critical factors influencing rental value of residential property in Nigeria. The purpose of this paper is to serve to address this gap by examining critical factors influencing rental value of residential property in the three densities area of Ibadan metropolis, Nigeria. Design/methodology/approach – The study used random sampling to select 624 residential properties out of 3,120 residential properties in the portfolio of 52 Estate Surveying and Valuation firms located within Ibadan metropolis, Nigeria. Data collected were analysed using a hedonic pricing specification. Findings – The results show that different critical factors influences rental values of different types of building in different residential densities. Number of bathroom (NOB), number of living room (NOL) and existence of burglar alarm (EOBA) were critical to bungalow in the whole area of Ibadan while number of toilet (NOT) was critical to duplex. In low-density area; residential location and EOBA have a significant positive impact on rental value of bungalow while NOT, NOBs (NOR), NOL and EOBA have a significant positive impact on detached house. However, it was NOR and EOBA that were critical in the medium density to bungalow. Practical implications – The study concluded that each of the residential densities is homogenous and, therefore, every residential property stakeholders should recognise the importance of each factor on rental values so that their valuation estimates will be useful and reliable. Originality/value – The study is one of the few attempts at examining factors affecting residential property value. This paper examined critical factors influencing rental value of residential property in the three densities area of Ibadan metropolis, Nigeria.

scholarly journals ANALISIS HUBUNGAN ANTARA INFLASI DAN PERTUMBUHAN EKONOMI: KASUS INDONESIA

2020 ◽  
Vol 3 (1) ◽  
Author(s):  
Ismail Fahmi Lubis
Keyword(s):  
Economic Growth ◽  
Granger Causality ◽  
Unit Root ◽  
Consumer Price Index ◽  
Sustainable Growth ◽  
Causality Test ◽  
Long Run ◽  
Augmented Dickey Fuller ◽  
Short Run ◽  
Johansen Cointegration Test

The Phenomena and trends of level of inflation which seem to be high as caused by factors or government policies whilst the level of economic growth averagely shows high and sustainable growth drawing the unusual macroeconomic condition in Indonesia. This research is conducted to find Correlation and Short-run as well as Long-run relationship between inflation and economic in Indonesia during 1968-2012. Besides, it is to find Granger-Causality between the Consumer Price Index (CPI) and Gross Domestic Product (GDP). It first tests its Unit-Root by Augmented Dickey Fuller and Dickey Fuller test, then it tests its Cointegration by Johansen Cointegration test and its causal relationship by Granger-Causality test as well as it makes mechanism of Error Correction Model (ECM). It is found both inflation and economic growth have no Unit-Root. It is found both inflation and economic growth have Correlation. It is found significantly long-run relationship through the probability value of its residual and short-run relationship through the probability value of inflation and economic growth in its differentiation. It is then found significantly one-way Granger-causality GDP causes CPI but not found one-way Granger-causality CPI causes GDP.

scholarly journals Analysis of recent property price developments and implications for Local Property Tax liabilities and revenue yield

2016 ◽  
Vol 64 (1) ◽  
pp. 29-60
Author(s):  
Brendan O’Connor ◽  
Donal Lynch
Keyword(s):  
Transition Matrix ◽  
Property Tax ◽  
Property Values ◽  
Local Property ◽  
Residential Property ◽  
Self Assessment ◽  
Property Prices ◽  
Residential Properties ◽  
Property Price ◽  
Price Growth

Abstract The introduction of the Local Property Tax (LPT) in 2013 marked a significant reform to tax policy in Ireland. Initial liabilities for LPT were determined by self-assessment into bands of property values as of May 2013, and the first revaluation was initially scheduled for November 2016. Reflecting the significant residential property price growth which has occurred since the initial valuation date, this paper estimates the implications for LPT liabilities of a hypothetical revaluation at May 2015 property prices. Drawing on a range of data sources, the authors use a transition matrix approach to illustrate the likely changes in LPT valuation bands and liabilities for residential properties. Revaluation is estimated to significantly increase tax liabilities for some taxpayers, with properties in higher valuation bands in May 2013 incurring larger increases in liability. The analysis also indicates substantial regional variation in band changes, with the largest band movements mainly occurring in Dublin.

scholarly journals Market Integration and Price Leadership among Major Mulberry Cocoon Markets in South India

2021 ◽  
pp. 25-34
Author(s):  
G. R. Halagundegowda ◽  
P. Kumaresan ◽  
. Muttanna ◽  
Y. Satish
Keyword(s):  
Market Integration ◽  
Tamil Nadu ◽  
Causality Test ◽  
Vector Error Correction ◽  
Price Series ◽  
Long Run ◽  
Augmented Dickey Fuller ◽  
Short Run ◽  
Good Proxy ◽  
Vector Error Correction Models

Market integration is a good proxy for measuring market efficiency and the emerging price signals from the markets can be utilized to benefit both farmers and reelers alike. The present study empirically examines the dynamic interrelationships among the prices of major cocoons markets viz. Ramanagaram (Karnataka), Sidlaghatta (Karnataka), Hindupur (Andra Pradesh) and Dharmapuri (Tamil Nadu) in terms of market integration. The monthly average prices of cross breed mulberry cocoons for a period between April 2002 and March 2021 were considered for the present study. The Augmented Dickey-Fuller (ADF) (tau) testindicated that all the price series were non-stationary at level, but were stationary after first difference. The Johansen's multivariate cointegration procedure revealed existence of cointegration among the prices of cocoon markets. The Vector Error Correction Models (VECM) revealed a long run price causality running from Ramanagaram and Sidlaghatta markets to all other markets considered under study. The Granger causality test indicated a unidirectional causality running from Ramanagaram and Sidlaghatta markets to all markets and not vice versa. The prices prevailed in Ramanagaram and Sidlaghatta markets controlled and decided the current prices of cross breed cocoons both in long run and short run in all other markets considered for the study.

scholarly journals The Dynamic of Macroeconomics Elements in Malaysia: Further Insight into Causality Analysis

2019 ◽  
Vol 4 (1) ◽  
pp. 1
Author(s):  
Dayang Hummida Abang Abdul Rahman ◽  
Nuzaihan Majidi ◽  
Jati Kasuma ◽  
Yusman Yacob ◽  
Dayang Affizzah Awang Marikan
Keyword(s):  
Time Series Data ◽  
Unit Root Test ◽  
Series Data ◽  
Causality Analysis ◽  
Causality Test ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run ◽  
Augmented Dickey Fuller ◽  
Short Run

This paper intends to explore the causality effect between Growth Domestic Product (GDP), population and unemployment in Malaysia. Based on the observation of Malaysia’s historical data, there is a distinct movement in each of these individual macroeconomics components over the years. Past literature within the same area has illustrated various patterns on the possibility of a causal relationship that each variable has on one another. Several stages of analysis are conducted to verify the presence of causality effect from Malaysian economic perspective, which includes unit root test that employs the Augmented Dickey Fuller (ADF), Phillips-Perron (PP) and Kwiatkowski-Phillips-Schmidt-Shin (KPSS) procedures, followed by Johansen and Juselius test of cointegration and Granger-causality test based on Vector Error Correction Model (VECM) using E-views software. Each procedure is conducted using Malaysia’s time series data for each of the three elements from 1980 to 2013 obtained from Malaysia’s Department of Statistics. Our findings revealed that there is one cointegration detected for the tested variables; whereas the results indicate that population can Granger cause unemployment in the short run. Furthermore, it is found that unemployment solely bears the effect from short run adjustment to bring about the long run equilibrium within the tested framework. This study is important for the policy maker to understand the reason behind the causality effect that could jeopardize the rate of unemployment in Malaysia. As the attention is given specifically to three variables particularly GDP, population and unemployment, this study is aimed at broadening the prospect for further investigation within the same area of macroeconomics.

scholarly journals RESIDENTIAL PROPERTY PRICE HIKE AND SPECULATION

2019 ◽  
Vol 17 (9) ◽  
Author(s):  
Razali Haron ◽  
Khairunisah Ibrahim
Keyword(s):  
Cointegration Analysis ◽  
Residential Property ◽  
Property Market ◽  
Market Segments ◽  
Factors Influencing ◽  
Property Prices ◽  
Long Run ◽  
Determining Factors ◽  
Property Price ◽  
Price Hike

This study analyzes the behaviour of property price in Malaysia by examining factors influencing the residential property prices. It aims to determine whether property prices hike in Malaysia can be explained by the fundamental factors or it is due to other unexplained factors, such as speculation. Findings from the study reveal that most of the factors did have significant influence on property price. In addition, the cointegration analysis indicates that the property price and its factors are cointegrated for all property market segments across states. This implies the presence of a long run relationship between the property price and its determining factors, despite slow adjustment of property price towards equilibrium in the long run. This study concludes that the residential property price hike in Malaysia is impacted by fundamental factors and is not speculative in nature.

EMPIRICAL ANALYSIS OF INDIA’S FOREIGN TRADE AND ECONOMIC GROWTH

2020 ◽  
Vol 8 (10) ◽  
pp. 105-111
Author(s):  
Khujan Singh ◽  
Anil Kumar
Keyword(s):  
Time Series Data ◽  
Unit Root Test ◽  
Series Data ◽  
Significant Implication ◽  
Causality Test ◽  
First Order ◽  
Long Run ◽  
Directional Relation ◽  
Augmented Dickey Fuller ◽  
Vecm Granger Causality

The present study is an attempt to examine long run relationship among India’s GDP, Exports and Imports for which yearly time series data from 1995 to 2018 has been collected. Data for India’s GDP has been collected from RBI website and India’s export and import data has been collected form Ministry of Commerce and Industry website. The Augmented Dickey-Fuller unit root test for stationarity found that studied variables become stationary at first order of difference. While, Johnson cointegration test revealed long run cointegration between India’s GDP, exports and imports. The results of VECM Granger causality test exhibited bi-directional relationship between India’s GDP and India’s exports, whereas uni-directional relation has been found between India’s GDP and India’s imports. These results have significant implication for India’s export import policy and to achieve a target of $5 trillion economy till 2024-2025.

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