scholarly journals International Real Estate Review

2019 ◽  
Vol 22 (1) ◽  
pp. 1-26
Author(s):  
Benedikt Fleischmann ◽  
◽  
Carsten Fritz ◽  
Steffen Sebastian ◽  
◽  
...  
Keyword(s):  
Real Estate ◽  
Arima Model ◽  
Negative Relationship ◽  
Developed Economies ◽  
Consumer Prices ◽  
Inflation Rates ◽  
Asset Value ◽  
Real Estate Prices ◽  
The Relationship ◽  
Inflation Hedging

With inflation rates remaining close to zero in all major developed economies for long periods of time, especially from 1998 - 2015, investors have become increasingly concerned about the potential effects of deflation on asset value. Negative inflation rates were observed between 1998 and 2009 in Hong Kong and Japan, and those economies faced several years of deflation. There is a rich body of literature on the effects of inflation hedging on the returns of stocks, bonds, and real estate. We examine asset returns for these products between 1986 and 2009, and use an ARIMA model to explore whether they offer a deflation hedge. We show that rents and real estate prices are closely linked to consumer prices, which confirms previous findings on inflation hedging. Since the relationship is generally positive and over proportional, we find that real estate is not an effective hedge against deflation. In contrast, we find no relationships between stocks or bonds and inflation. Only for Japanese bonds are we able to find a significantly negative relationship with unexpected deflation.

An Empirical Research on the Relationship between Real Estate Prices and Inflation

2011 ◽  
Vol 55-57 ◽  
pp. 1992-1996
Author(s):  
Tie Qun Li
Keyword(s):  
Real Estate ◽  
Stock Prices ◽  
Test Analysis ◽  
Social Demand ◽  
The Real Estate ◽  
Key Factor ◽  
Negative Effect ◽  
Labor Service ◽  
Real Estate Prices ◽  
The Relationship

The former researches referring to inflation and real estate prices concentrated mainly on the stock prices rather than the real estate prices. Owing to the enlarging ratio of real estate industry in national economy with each passing day, as well as the overheating real estate prices in recent years, the relationship between real estate prices and inflation is particularly vital to the monetary policy making for the monetary authorities. According to the test analysis of data from 2001 to 2009, it is found that real estate prices is Granger Cause of inflation while inflation is not the Granger Cause of real estate prices in this paper. Through the Effects of Wealth, Credit and Tobin, real estate prices drive the growth of social consumption and investments and expand the total social demand which possess an positive effect on inflation; nevertheless the rising of real estate prices causes the rising of currency for real estate purchasing, which, under the circumstance of that currency supply remains, will inevitably bring about the reduction of currency for other consumption and investments and restrain the total social demand which would mean a suppression of continuous rising of prices of other commodity and labor service. All these show that real estate also has a negative effect on inflation. The cancellations between the two effects make the long-term influence real estate bearing on inflation is not obvious. The experimental results indicate that when the price of real estate rises 1%, inflation only rises 0.058%. Consequently, a strict controlling of the amount of money issued is the key factor for keeping the over rapid rising of real estate prices from leading to inflation.

scholarly journals Asymmetric Macroeconomic Shocks and Asset Price Behaviors in Selected African Countries

2021 ◽  
Vol 11 (2) ◽  
pp. 90
Author(s):  
Saliu Mojeed Olanrewaju ◽  
Ogunleye Edward Oladipo
Keyword(s):  
Real Estate ◽  
Interest Rates ◽  
Asset Prices ◽  
Asset Price ◽  
Panel Cointegration ◽  
African Countries ◽  
Vector Autoregressive ◽  
Macroeconomic Variables ◽  
Real Estate Prices ◽  
The Relationship

This study examines the relationship between Asset prices (Stock and Real estate prices) and Macroeconomic variables in four selected African countries. The study employs the Westerlund Error Correction Based Panel Cointegration test and Eight-variable Structural Vector Autoregressive model to examine the relationship between asset prices and macroeconomic variables. Findings from the study confirm that no long-run relationship exists between both Asset prices and macroeconomic variables. The study equally reveals that portfolio diversification benefits of both stock and real estate markets are more pronounced in the period of a boom than the recession period in Africa. The results also show that GDP growth rate shock exerts a significant impact on both asset prices during expansion and recession periods. The study reveals that foreign interest rates and World oil price shocks are better predictors of both stock and real estate prices during the crisis period than in the expansion period.

International Real Estate Review

2008 ◽  
Vol 11 (1) ◽  
pp. 65-82
Author(s):  
Kuan Min Wang ◽  
◽  
Yuan-Ming Lee ◽  
Nguyen T.T.Binh ◽  
◽  
...  
Keyword(s):  
Real Estate ◽  
Great Influence ◽  
Threshold Value ◽  
Real Estate Investment ◽  
Correction Model ◽  
Inflation Rates ◽  
Housing Returns ◽  
Nonlinear Vector ◽  
Inflation Hedging ◽  
Robust Evidence

Conclusions of past works on the inflation hedging ability of real estate investment are not consistent. The reason for this perplexity might be the neglect of separation between high and low state of inflation, which has a great influence on empirical results. In order to examine the inflation hedging effectiveness of real estate with Taiwanese monthly housing returns and inflation, this paper uses the inflation as the threshold variable to create the nonlinear vector correction model that divides the inflation rates into high and low regime. We find robust evidence that when inflation rates are higher than 0.83% threshold value, housing returns are able to hedge against inflation, and, otherwise, they are unable. Using new methodology to discover new implications is main contribution of this study.

scholarly journals Consequences of Economic Deconcentration in Italy and Rome: Unplanned Processes in a Highly Regulated Country

2012 ◽  
Vol 2012 ◽  
pp. 1-9
Author(s):  
Armando Montanari ◽  
Barbara Staniscia
Keyword(s):  
Real Estate ◽  
Social Environment ◽  
Planning System ◽  
Location Decisions ◽  
Market Forces ◽  
Public Authorities ◽  
The Public ◽  
Real Estate Prices ◽  
High Degree ◽  
The Relationship

This paper analyses the relationship between deconcentration processes, planning policies, and governance in the metropolitan area of Rome, Italy, from 1991 to 2001. It points out that Rome does not have an explicit policy either in favor of or against deconcentration and that the public authorities are not in fact aware of the problem. Deconcentration is mainly driven by market forces and business location decisions. These decisions are strongly influenced by material factors such as accessibility, land availability, and real estate prices, as well as immaterial factors such as the natural, cultural, and social environment. Public players can take action to influence these factors. Even though Italy has a very strictly regulated planning system, there has traditionally been a high degree of freedom in actual behaviors.

scholarly journals Inflation and Economic Growth: a Review of The International Literature

2017 ◽  
Vol 20 (3) ◽  
pp. 41-56 ◽  
Author(s):  
Foluso A. Akinsola ◽  
Nicholas M. Odhiambo
Keyword(s):  
Economic Growth ◽  
Developing Countries ◽  
Negative Relationship ◽  
Threshold Level ◽  
Data Set ◽  
Developed Economies ◽  
The Impact ◽  
The Relationship ◽  
Over Time ◽  
Country Specific

This paper surveys the existing literature on the relationship between inflation and economic growth in developed and developing countries, highlighting the theoretical and empirical indications. The study finds that the impact of inflation on economic growth varies from country to country and over time. The study also finds that the results from these studies depend on country‑specific characteristics, the data set used, and the methodology employed. On balance, the study finds overwhelming support in favour of a negative relationship between inflation and growth, especially in developed economies. However, there is still much controversy about the specific threshold level of inflation that is appropriate for growth. Most previous studies on this subject just assume a unidirectional causal relationsship between inflation and economic growth. To our knowledge, this may be the first review of its kind to survey, in detail, the existing research on the relationship between inflation and economic growth in developed and developing countries.

scholarly journals Economic Factors Influence on Funding of the Supply-Side of Housing in Kenya: Case Study Nairobi

2016 ◽  
Vol 11 (10) ◽  
pp. 194 ◽  
Author(s):  
Faith Wambui Kanjumba ◽  
Amos Njuguna ◽  
George Achoki
Keyword(s):  
Interest Rates ◽  
Negative Relationship ◽  
Housing Development ◽  
Primary Data ◽  
Supply Side ◽  
Economic Factors ◽  
Development Factor ◽  
Inflation Rates ◽  
The Government ◽  
The Relationship

Housing plays a very important role in the social economic development of any nation. One set of factors that impacts on the funding of the supply-side of housing are economic factors comprising market forces, cost of inputs, the macro economy and the cost of funding. This paper sets to establish the relationship between economic factors and funding of the supply-side of housing in Kenya and also the effect of the major stakeholders on such a relationship if it exists. Using an explanatory form of approach in research design a survey was conducted where primary data was collected by self-administered questionnaires from a random sample of 212 branches in Nairobi of financial institutions drawn from a population of 43 commercial banks, 9 deposit-taking MFIs and three major financiers of housing development. Factor analysis, correlation analysis and ordinal logit regression were used to determine the relationship between funding of housing and economic factors. Results indicated a negative relationship between economic factors and funding of housing development. It was also established that there exists a positive moderating effect of stakeholders on the relationship between economic factors and funding of housing development. The implication being the government and policy makers should ensure that interest rates and inflation rates are kept at a level that will encourage investments in housing, with the government acting then more as an enabler.

scholarly journals Can Common Stocks Provide Hedge against Inflation? Evidence from SAARC Countries

2012 ◽  
Vol 51 (4II) ◽  
pp. 435-448
Author(s):  
Syed Zulfiqar Ali Shah ◽  
Zafar Mueen Nasir ◽  
Muhammad Naeem
Keyword(s):  
Stock Returns ◽  
Stock Return ◽  
Negative Relationship ◽  
Expected Return ◽  
Negative Results ◽  
Expected Inflation ◽  
Inflation Rates ◽  
Fisher Hypothesis ◽  
The Relationship ◽  
Real Assets

The theory says that if stocks provide an effective hedge against inflation then the effect of expected inflation should be compensated in the form of nominal stock return. As Fisher Hypothesis (1930) concluded that nominal expected return on a security is a function of expected inflation rate as well as expected real interest rate. Bodie (1976) worked on Fisher Hypothesis and found that actual nominal return depends on expected and unexpected inflation rates and also it depends on expected and unexpected nominal returns. According to Geske and Roll (1983) a positive relationship exists between stock returns and inflation, based on the assumption that securities represent claims on real assets. When there is an increase in rate of inflation, it is expected that prices of real assets will also rise, thereby improving the value of securities representing a claim on such real assets. We found that various studies in this area reported against the hypothesis, showing a negative relationship between the two. However, certain other studies support the theory asserting that the relationship existing between stock returns and inflation is positive. While the negative relationship between inflation and stock return is against the theory, negative results have led to formation of hypothesis such as tax augmented hypothesis. The tax augmented hypothesis states that when we deduct tax from the stock returns, their relationship with inflation tends to get negative as the quantum and rate of taxes also rise along with inflation. This hypothesis also opines that initial researcher did not consider the tax impact when they were empirically testing the relationship between stock returns and inflation.

Debt Financing and Agency Cost on Profitability: Are Real Estate Firms’ Performance in India Getting Affected?

2021 ◽  
Vol 17 (1-2) ◽  
pp. 43-56
Author(s):  
Pradip Kumar Mitra ◽  
Omkar Naik
Keyword(s):  
Real Estate ◽  
Phase I ◽  
Financial Performance ◽  
Phase Ii ◽  
Negative Relationship ◽  
Agency Cost ◽  
Debt Financing ◽  
Leverage Ratio ◽  
The Impact ◽  
The Relationship

This article tries to understand the relationship between agency cost, debt financing and Indian real estate companies’ performance. The study attempts to document the effect of debt on the firm’s profitability and then explores the reason behind such an impact by introducing the agency cost as a parameter. The study is conducted in two phases. Phase I is carried out to establish the relationship between debt financing and the firm’s financial performance. In Phase II, the study is conducted to understand the impact of agency cost on debt financing. Firms from the BSE Realty Index were selected for the period 2011–2018. Profitability is measured through return on equity (ROE), whereas debt financing is measured through the firm’s leverage ratio. The agency cost is measured through the asset utilisation ratio and general expense to sales ratio. Panel regression method is used to understand the impact of debt financing and agency cost on the firms’ profitability. The result of Phase I suggests a significant negative relationship between debt financing and the ROE and the result of Phase II suggests a positive relationship between the agency cost and debt financing. This means that reduction in agency cost will lead to lesser amount of debt financing thereby improving the firm’s financial performance.

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