scholarly journals DO INFLATION, INTEREST RATE AND COST OF RENTING AFFECT THE PRICE OF TERRACE HOUSES IN PENANG?

2020 ◽  
Vol 18 (13) ◽  
Author(s):  
Zaemah Zainuddin ◽  
Rosylin Mohd Yusof
Keyword(s):  
Interest Rate ◽  
Interest Rates ◽  
Multivariate Regression ◽  
House Prices ◽  
House Price ◽  
Multivariate Regression Analysis ◽  
Middle Income ◽  
Rental Rate ◽  
Mortgage Rates ◽  
The Cost

In Malaysia, the housing ownership is reported to decrease from 85% in 1999 to 72.5% in 2010. This is due to the outstripped increase of house price over the income level and the unstable economic situation which creates unaffordability to own a house for many people. Therefore, the main objective of this study is to examine whether the price of terrace houses in Penang is being affected with fundamental factors such as inflation, interest rates and the cost of renting. This study uses multivariate regression analysis with quarterly data of terrace house prices (HPI terrace house in Penang), inflation (CPI) and interest rate (mortgage rates) from 2009: Q1 to 2016: Q4. Evidently, the cost of renting terrace houses in Penang does not have any impact on the price of terrace houses and the stable movement of cost of renting indicates that the growth of rental rate is at acceptable price for middle income earners.

Rental index rate as an alternative to interest rate in Musharakah Mutanaqisah home financing

2016 ◽  
Vol 9 (3) ◽  
pp. 397-416 ◽  
Author(s):  
Rosylin Bt Mohd Yusof ◽  
Akhmad Affandi Mahfudz ◽  
Ahmad Suki Che Mohamed Arif ◽  
Nor Hayati Ahmad
Keyword(s):  
Interest Rate ◽  
Interest Rates ◽  
House Price ◽  
Profit Rate ◽  
Content Type ◽  
Macroeconomic Conditions ◽  
True Value ◽  
Rental Rate ◽  
Practical Implications ◽  
Sustainable Financing

Purpose This paper aims to propose a new pricing alternative called Rental Rate Index (RR-I) that captures the true value of property to be used by Islamic banks in Musharakah Mutanaqisah (MM) contract for home financing. Design/methodology/approach By formulating a profit rate based on Rental Index (RI) and House Price Index (HPI), the proposed rate eliminates conventional profit rate benchmarking, and, at the same time, suggests a fair, equitable and sustainable financing. This new RR-I (measured by RPI/HPI) enables computerization of the MM system in home financing to be easily implemented. A financial simulation is developed to demonstrate the feasibility of this newly proposed rate. Findings This newly proposed RR-I is found to be more stable, having less fluctuations, resilient to macroeconomic conditions and yet comparable to the conventional interest rates, without depending on them. It can also be regarded as a rate that is fair and sustainable to both the customer and the bank, as it measures the actual rate of return to both parties in MM contract. Research limitations/implications The paper confines one contract, namely, MM, as it is claimed to be more Shariah-compliant than others. Practical implications The finding also sheds some light on the recommendation by Bank Negara Malaysia, which is to consider RR that is more indicative of the actual rental price while taking into account the competitiveness of the product. (BNM, 2007). Social implications This paper wreaks customer patronage in selecting the contract of home financing. Originality/value This paper attempts to resolve the issue of benchmarking RR to the conventional interest rate in the MM contract. Studies conducted on this issue via simulation approach are meager.

scholarly journals Liquidity, interest rates and house prices in the euro area: a DSGE analysis

2016 ◽  
Vol 9 (1) ◽  
pp. 4-25 ◽  
Author(s):  
Margarita Rubio ◽  
José A. Carrasco-Gallego
Keyword(s):  
Interest Rates ◽  
Monetary Union ◽  
Euro Area ◽  
House Prices ◽  
Housing Prices ◽  
House Price ◽  
Dsge Model ◽  
Content Type ◽  
The Core ◽  
Dynamic Stochastic

Purpose This study aims to build a two-country monetary union dynamic stochastic general equilibrium (DSGE) model with housing to assess how different shocks contributed to the increase in housing prices and credit in the European Economic and Monetary Union. One of the countries is calibrated to represent the core group in the euro area, while the other one corresponds to the periphery. Design/methodology/approach In this paper, the authors explore how a liquidity shock (or a decrease in the interest rate) affects house prices and the real economy through the asset price and the collateral channel. Then, they analyze how a house price shock in the periphery and a technology shock in the core countries are transmitted to both economies. Findings The authors find that a combination of an increase in liquidity in the euro area coming from the common monetary policy, together with asymmetric house price and technology shocks, contributed to an increase in house prices in the euro area and a stronger credit growth in the peripheral economies. Originality/value This paper represents the theoretical counterpart to empirical studies that show, through macroeconometric models, the interrelation between liquidity and other shocks with house prices. Using a DSGE model with housing, the authors disentangle the mechanisms behind these empirical findings.

scholarly journals The Relationship between Interest Rates, Income, GDP Growth and House Prices

2017 ◽  
Vol 2 (1) ◽  
pp. 30 ◽  
Author(s):  
Ting Xu
Keyword(s):  
Interest Rate ◽  
Real Estate ◽  
Interest Rates ◽  
House Prices ◽  
Gdp Growth ◽  
The Real ◽  
The Real Estate ◽  
Control Power ◽  
The Relationship

<em>This paper will analyse the relationship between interest rate, income, GDP growth and house prices. First, the control power of interest rate for the prices is limited. Second, people’s income increases, thus that also increases the demand for housing. But house prices are too high and will cause buying pressure. Third, the real estate industry’s growth and GDP growth have inseparable relationship, they interact with each other.</em>

scholarly journals DETERMINANTS OF INTEREST RATES ON CORPORATE DEBT

2021 ◽  
Vol 4 (39) ◽  
pp. 264-275
Author(s):  
O. Tereshchenko ◽  
M. Stetsko ◽  
N. Tkachenko ◽  
N. Babiak
Keyword(s):  
Interest Rate ◽  
Interest Rates ◽  
Discount Rate ◽  
Cost Of Debt ◽  
Probability Of Default ◽  
Credit Risks ◽  
Debt Capital ◽  
Credit Default ◽  
Rate Calculation ◽  
The Cost

Abstract. The objective of this article is theoretical and methodological justifying of determining algorithm of the cost of debt capital for enterprises functioning in emerging markets (EM). The methods of research: analysis and synthesis, system analysis, comparative analysis, empirical and statistical methods, factor analysis.  Results.  In this article key determinants of interest rates on debt capital for enterprises and their impact on the procedure of discount rate calculation are determined. The issue of the cost of debt calculation of enterprises in condition of absence of complete information concerning systematic and non-systematic crediting risks is studied. Differences between interest rate on the loan fixed in credit agreement and expected by creditors the cost of debt are identified. It is determined that the key factor impacting the deviation level of market value of debt capital from the nominal, and respectively, deviation of the cost of debt from the cost of capital is probability of default (PD). At the minimum values of PD, the contract interest rate corresponds to the rate of cost of debt and it is advisable to use it for discount rate calculation. Critical analysis of alternative methodological approaches of the cost of debt calculation is made. Ways of integrating of market information concerning credit default swaps into the process of expected cost of debt calculation are justified. Factors of shadowing of rates of the cost of debt and ways of reducing of shadow transactions’ level in the credit market are identified. Conclusions. At high PD values, expected by market premium for default risk may exceed the contract interest rate, which necessitates constant monitoring of credit risks and appropriate adaptation of interest rates. In the paper the algorithm of such adaptation are proposed. It is shown that in the case of non-use of interest rates adjustment taking into account changes in PD, CDS and LGD, premium for creditors’ systematic risk can differ significantly from market values of similar enterprises (peer-group), and estimated value of the cost of debt can acquire negative values. Contract (promised) interest rate should be set in such way that the premium for systematic risk of providing debt capital will be at the level of similar companies and does not change significantly as a result of probability of default changes. If in practice the opposite situation occurs, it is the evidence of contract interest rate shadowing, absence of effective system of assessment  and management of credit risks. For solving the problem of interest rate transparency and filling of information gaps concerning PD borrowers in EM countries, should intensify CDS market. Keywords: debt capital, default probability, non-performing loans, credit default swap, credit spread, debt capital premium, shadow economy. JEL Classification E47 Formulas: 16; fig.: 0; tabl.: 3; bibl.: 15.

Korean Treasury Bond Futures Pricing Model

2004 ◽  
Vol 12 (1) ◽  
pp. 1-22
Author(s):  
Youngsoo Choi ◽  
Se Jin O ◽  
Jae Yeong Seo
Keyword(s):  
Interest Rate ◽  
Interest Rates ◽  
Market Price ◽  
Alternative Methods ◽  
Vasicek Model ◽  
Market Participants ◽  
Treasury Bond ◽  
Cost Of Carry ◽  
The Interest Rate ◽  
The Cost

This paper proposes two alternative methods which are used for pricing the theoretical value of the KTB futures on the non-traded underlying asset; first method is to use the CKLS model, under which the volatility of interest rate changes is highly sensitive to the level of the interest rate, and then employ binomial trees to compute the theoretical value of futures, second one is to use the multifactor Vasicek model considering correlations between yields-to-maturity and then employ the Monte Carlo simulation to compute it. In the empirical study on KTB303 and KTB306, an CKLS methodology is superior to the conventional KORFX method based on the cost-of-carry model in terms of the size of difference between market price and theoretical price. However, the phenomena, the price discrepancy using the KOFEX methodology is very small for all test perlod, implies that the KOFEX one is being used for the most market participants. The reasons that an multifactor Vasicek methodlogy is performed poorly in comparison to another methods are 1) the Vasicek model might be not a good model for explaining the level of interest rates, or 2) the important point considered by the most market participants may be on the volatility or interest rate, not on the correlations between yields-to-maturity.

High house prices may be global systemic risk

2016 ◽  
Keyword(s):  
Interest Rates ◽  
Household Income ◽  
House Prices ◽  
House Price ◽  
Content Type ◽  
Price Boom ◽  
Advanced Economies ◽  
The Us ◽  
Property Markets

Subject The rise in global house prices. Significance In the first quarter of 2015, the global house price index, aggregating prices in 52 countries, was at about the same level as in early 2007, according to IMF data. This recovery has occurred in a period of wage gains in most emerging markets (EMs), but little or no growth in household income across most advanced economies. Living costs excluding housing have stagnated and interest rates have been exceptionally low. Yet US interest rates are rising now and global prices are unlikely to keep falling beyond 2016, while many EMs have slumped into recession. As households are hit by more adverse trends, property markets and the related sectors will be affected. Impacts The EM house price boom will be curbed by slowing income growth and weaker economic prospects. High house-prices-to-household-income ratios and household debt might require the introduction of macroprudential tools. The US housing market will stay affordable compared to its long-term average and to Europe's.

scholarly journals Inferring the Economic Attributes of Urban Rail Transit Passengers Based on Individual Mobility Using Multisource Data

2018 ◽  
Vol 10 (11) ◽  
pp. 4178 ◽  
Author(s):  
Yadi Zhu ◽  
Feng Chen ◽  
Ming Li ◽  
Zijia Wang
Keyword(s):  
Smart Card ◽  
House Prices ◽  
House Price ◽  
User Profile ◽  
Urban Rail Transit ◽  
Feature Identification ◽  
Middle Income ◽  
Profile Information ◽  
Individual Mobility ◽  
Smart Card Data

Socioeconomic attributes are essential characteristics of people, and many studies on economic attribute inference focus on data that contain user profile information. For data without user profiles, like smart card data, there is no validated method for inferring individual economic attributes. This study aims to bridge this gap by formulating a mobility to attribute framework to infer passengers’ economic attributes based on the relationship between individual mobility and personal attributes. This framework integrates shop consumer prices, house prices, and smart card data using three steps: individual mobility extraction, location feature identification, and economic attribute inference. Each passenger’s individual mobility is extracted by smart card data. Economic features of stations are described using house price and shop consumer price data. Then, each passenger’s comprehensive consumption indicator set is formulated by integrating these data. Finally, individual economic levels are classified. From the case study of Beijing, commuting distance and trip frequency using the metro have a negative correlation with passengers’ income and the results confirm that metro passengers are mainly in the low- and middle-income groups. This study improves on passenger information extracted from data without user profile information and provides a method to integrate multisource big data mining for more information.

scholarly journals Using Expected Geometric Values to Calculate the Cost of Interest in Hyper-inflationary Environments: the Case of Venezuela

2019 ◽  
Vol 2 (2) ◽  
pp. 10-21
Author(s):  
J. Tim Query ◽  
Evaristo Diz Cruz
Keyword(s):  
Interest Rate ◽  
Interest Rates ◽  
Expected Value ◽  
Defined Benefit ◽  
High Inflation ◽  
Defined Benefit Plans ◽  
The Interest Rate ◽  
The Cost ◽  
The Impact ◽  
The Relationship

It is of vital importance to explore the relationship between pensions and inflationary levels because this forms a link between social policy and economic development in the context of Venezuela’s challenging economy and its impact on the development of pension systems. With such rampant inflation, companies must adjust the rates of salary increases to avoid a significant decrease in the purchasing power of income from defined benefit plans. Our research seeks to find the possibility of using an average geometric rate of future interest rates expressed as an expected value to discount obligations. Consequently, the cost of interest associated with the actuarial liability of the Benefit plans increases substantially in the next fiscal period to the actuarial valuation, sometimes compromising its sustainability over time. In order to minimize this problem, two scenarios for calculating the interest rate are proposed to smooth out this volatile effect; both are based on a geometric average with the expectation of working life or with the duration of the obligations. We are careful to use a reasonable interest rate that is not so high as to compromise the cash flow, resulting in skewed annual results of the companies. Our research seeks to find the possibility of using an average geometric rate of future interest rates expressed as an expected value to discount obligations. We formulate and actuarially evaluate two different scenarios, based on job expectations and Macaulay's duration, of the obligations that allow the sustainability of the plan in an environment of extremely high inflation. To illustrate the impact of the basic annual expenditure of the period, the results of an actuarial valuation of an actual Venezuelan company were utilized. Despite some companies adjusting their book reserves increasingly through a geometric progression, the amounts associated with the costs of interest would be huge in any such adjustment pattern. Therefore, we suggest adoption of one of the alternatives described in the research.

An Improved Model for House Price/Land Price Prediction using Deep Learning

2022 ◽  
pp. 76-87
Author(s):  
Basetty Mallikarjuna ◽  
Sethu Ram M. ◽  
Supriya Addanke ◽  
Munish Sabharwal
Keyword(s):  
Cost Estimation ◽  
House Prices ◽  
House Price ◽  
Land Price ◽  
Web Based ◽  
Android Os ◽  
Proposed Model ◽  
Improved Model ◽  
The Cost ◽  
The Given

House price predictions are a crucial reflection of the economy; sometimes house prices include the land prices and demand of the place and location. The house price and land price are two different things, but both are important for both buyers and sellers. This chapter introduced the combination of ML and DL approaches to predict the house price with the updated regression algorithm. The algorithm named as ‘Mopuri algorithm' reads the 14 attributes like crime rate, population density, rooms, etc. and produces the cost estimation result as a prediction. The proposed model accurately estimates the worth of the house as per the given features. The results of the model tested with the different datasets existing in the Kaggle data source using Python libraries with the Jupyter platform and continuation of the model using the Android OS to develop the smart home web-based application.

What Factors Determine Changes in House Prices and Rents?

2020 ◽  
pp. 39-56
Author(s):  
Geoffrey Meen ◽  
Christine Whitehead
Keyword(s):  
Interest Rates ◽  
House Prices ◽  
House Price ◽  
Empirical Work ◽  
International Standards ◽  
Macroeconomic Conditions ◽  
Price Trends ◽  
The Uk ◽  
Different Parts ◽  
Over Time

Whatever measure of affordability is used house prices and rents play a central role and Chapter 3 is concerned with what causes these two variables to change over time and vary across different parts of the country. Although increases in house prices have been particularly strong in the UK by international standards, other countries are also discussed. In fact, house price trends and volatility can be explained by a fairly small number of variables – and their influence has been remarkably consistent over the last fifty years. The problem has been rather that house prices are very sensitive to changes in incomes, interest rates and credit conditions and these vary greatly over time. Therefore, modest changes in macroeconomic conditions have disproportionate effects on housing. UK empirical work on market rents is less well-developed than for house prices, but the chapter considers the reasons why rents appear to have risen at a slower rate than house prices.

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