The inflation-hedging characteristics of Malaysian residential property

2014 ◽  
Vol 7 (1) ◽  
pp. 61-75 ◽  
Author(s):  
Chyi Lin Lee
Keyword(s):  
Emerging Market ◽  
Ordinary Least Squares ◽  
Residential Property ◽  
Content Type ◽  
Expected Inflation ◽  
Hedging Effectiveness ◽  
Long Run ◽  
Different Types ◽  
Short Run ◽  
Inflation Hedging

Purpose – This study aims to extend the current literature by examining the inflation-hedging effectiveness of Malaysian residential property in the short run and long run. Malaysia is an emerging market and has some unique characteristics. Therefore, a dedicated study in this market is critical. Design/methodology/approach – The analysis of this study involves two stages. The first stage is to estimate the inflation-hedging ability of Malaysian residential property in the short run. The Fama and Schwert model was employed. Thereafter, the long-run inflation-hedging effectiveness was assessed by using a dynamic ordinary least squares (DOLS) model. Findings – The Fama and Schwert tests reveal that Malaysian residential property does provide some satisfactory hedge against the expected inflation component over the short run. However, variations are evident among different types of residential property. The DOLS results provide strong evidence to support that housing is an effective hedge against the expected inflation in the long run, whereas no comparable evidence is found for the unexpected inflation component. Practical implications – The findings enable more informed and practical investment decision-making regarding the role of housing in inflation risk management. Originality/value – This paper is the first study to offer empirical evidence of the inflation-hedging attributes of Malaysian residential property. Moreover, the inflation-hedging effectiveness of different types of residential property is also compared for the first time.

scholarly journals DO EUROPEAN REAL ESTATE STOCKS HEDGE INFLATION? EVIDENCE FROM DEVELOPED AND EMERGING MARKETS

2014 ◽  
Vol 18 (2) ◽  
pp. 178-197 ◽  
Author(s):  
Chyi Lin Lee ◽  
Ming-Long Lee
Keyword(s):  
Real Estate ◽  
Emerging Markets ◽  
Least Squares ◽  
Ordinary Least Squares ◽  
The Real Estate ◽  
Empirical Results ◽  
Expected Inflation ◽  
Long Run ◽  
Short Run ◽  
Inflation Hedging

This study examines the inflation-hedging properties of European real estate stocks in developed and emerging markets over 1990 to 2011. The Fama and Schwert model and a dynamic ordinary least squares (DOLS) regression were employed to study the inflation-hedging characteristics of European real estate stocks over the short run and long run. The empirical results show little inflationhedging ability of European real estate stocks over the short run. Over the long run, developed real estate stocks provide a positive inflation hedge against expected inflation, while no similar evidence is found in the emerging markets. The findings suggest that the inflation-hedging properties of real estate stocks are related to the institutional involvement in the real estate stock markets. The finding could have profound implications to institutional investors.

Conventional and Islamic banks deposit rates as inflation hedges: the case of Malaysia

2019 ◽  
Vol 35 (2) ◽  
pp. 128-139
Author(s):  
Siew Peng Lee ◽  
Mansor Isa
Keyword(s):  
Interest Rates ◽  
Emerging Market ◽  
Data Series ◽  
Islamic Banks ◽  
Content Type ◽  
Islamic Bank ◽  
Long Run ◽  
Short Run ◽  
Inflation Hedging ◽  
Conventional And Islamic Banks

Purpose The purpose of this paper is to examine the extent to which conventional and Islamic bank fixed deposit rates can protect depositors against inflation in the Malaysia context. Design/methodology/approach Nominal interest rates are represented by commercial bank fixed deposit and investment bank fixed deposit rates. The authors use monthly data over the period 2000–2016. The authors apply the autoregressive distributed lag bounds testing methodology to test the existence of long-run relationship between nominal rates and inflation, and the error-correction model to test for the short-run dynamics. Findings The results show that the nominal interest rate and inflation are cointegrated for all the data series. The evidence indicates that all the fixed deposit rates, for both conventional and Islamic banks are effective inflation hedges in the long-run thereby supporting the Fisher hypothesis. There is no difference in the inflation hedging ability between conventional bank rates and Islamic bank rates. However, the authors find no evidence of the short-run relationship between interest rates and inflation for either bank. Practical implications Bank regulators should be concerned on the similarities in behaviour towards inflation between conventional and Islamic rates, given that the deposit rates for both banks are supposedly set based on different premises. Bank customers, they should deposit their money for the long horizon in order to protect themselves against inflation. Depositors worrying about inflation should be indifferent between conventional or Islamic as both banks provide similar inflation hedging characteristics. Originality/value The novelty of this study is in using the bank fixed deposit rates to study the Fisher effect in an emerging market and in comparing the conventional and Islamic bank rates in terms of their inflation hedging ability.

A fresh look at the inflation-hedging attributes of residential property investments in emerging markets: evidence from Nigeria

2021 ◽  
Vol 39 (3) ◽  
pp. 419-438
Author(s):  
Benjamin Gbolahan Ekemode
Keyword(s):  
Emerging Markets ◽  
Cointegration Test ◽  
Residential Property ◽  
National Bureau ◽  
Ols Regression ◽  
Content Type ◽  
Long Run ◽  
Short Run ◽  
Inflation Hedging ◽  
Unexpected Inflation

PurposeThis study reinvestigates the short-run and long-run inflation-hedging attributes of residential property assets in the Nigerian property market, based on variations in property types and location.Design/methodology/approachData used for this study comprised the holding period returns of three residential property types, namely bungalow, block of flats and detached house during 1999–2018. These were obtained from property practitioners in Lagos, Abuja and Port Harcourt, respectively. The inflation values obtained from the National Bureau of Statistics were split into actual, expected and unexpected components. Fama and Schwert’s (1977) ordered least square (OLS) regression was used to assess the short-term inflation hedging efficacy. Afterwards, the long-run link between residential property and inflation was examined using the Johansen and Juselius cointegration test.FindingsThe results showed that despite the variations in hedging behaviour across property types in the three locations, residential property assets significantly provided protection over actual, expected and unexpected inflation in the short run based on the OLS regression analysis. The result of the Johansen and Juselius cointegration test also established a long-term link between the residential property assets and actual inflation. However, mixed results were found on the link between residential property and expected and unexpected inflation, as some of the assets did not effectively hedge these inflation components in the long run.Practical implicationsThe study implied that the differences in property types and geographic locations are crucial in establishing the short-run and long-run inflation-hedging attributes of residential property assets and should be factored into consideration.Originality/valueThe paper complements the existing body of knowledge on the inflation-hedging attributes of residential property in emerging markets by determining the effects of variation in house types and geographic differences on the analysis.

scholarly journals Re-visiting the renewable energy–economic growth nexus

2017 ◽  
Vol 11 (3) ◽  
pp. 387-403 ◽  
Author(s):  
Oluwafisayo Alabi ◽  
Ishmael Ackah ◽  
Abraham Lartey
Keyword(s):  
Economic Growth ◽  
Renewable Energy ◽  
Ordinary Least Squares ◽  
Renewable Energy Consumption ◽  
Content Type ◽  
Dynamic Relationship ◽  
Long Run ◽  
Short Run ◽  
Opec Member ◽  
The Relationship

Purpose This paper aims to investigate the dynamic relationship between renewable energy and economic growth in African OPEC member countries (Angola, Algeria and Nigeria). Design/methodology/approach The fully modified ordinary least squares technique for heterogeneous cointegrated panels (Pedroni, 2000) is used to estimate the parameters of the model. Findings The study revealed four main findings. First, there is a bidirectional causality between renewable energy and economic growth in the long and the short run. Second, a bidirectional causality exists between non-renewable energy and economic growth in the short and long run. Third, a bidirectional causality exists between CO2 emissions and economic growth. Fourth, a unidirectional causality was also found between CO2 emissions and non-renewable energy consumption with the direction of causality stemming from the consumption of non-renewable energy to CO2 emissions. Practical implications Because renewable consumption enhances growth, OPEC-member Africa countries should encourage investment in modern renewable sources that has high conversion efficiency such as solar, wind and hydro to strengthen their response to mitigating the impacts of climate change. Originality/value This study applies multiple methods to analyze the relationship between renewable energy and economic growth in African OPEC countries.

scholarly journals International Real Estate Review

2021 ◽  
Vol 24 (2) ◽  
pp. 221-251
Author(s):  
Henry Koon Nam Lee ◽  
Keyword(s):  
Emerging Market ◽  
Residential Property ◽  
Developed Economies ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Expected Inflation ◽  
Long Run ◽  
Cointegration Tests ◽  
Residential Properties ◽  
Show Evidence

Using a non-causality approach based on the conventional approach of Fama and Schwert (1977), cointegration method in Johansen (1988), and autoregressive distributed lag (ARDL) cointegration technique in Pesaran et al. (2001) and Granger et al. (2000), this study examines the inflation hedging effectiveness of residential property in three of the largest emerging market (EM) economies: China, India and Russia. While the results of the Fama and Schwert (1977) regression indicate that residential properties in China and Russia provide a short-term hedge against expected inflation, this is not the case for those in India against both expected and unexpected inflation. Consistent with the results of the developed economies, the Johansen and ARDL cointegration results provide strong evidence to support the hypothesis that inflation and the residential properties in the three largest EM economies are cointegrated. This implies that the residential properties in these three countries provide a long-term hedge for inflation. In addition, the causality results show evidence that inflation has a lead effect on residential property prices in India over the long run. The empirical results of the cointegration tests confirm that residential properties could be considered as a reliable hedge against inflation for EMs in the long run and suggest that investors should overweigh their investment in residential property assets during periods of persistent inflation in EMs.

Does human capital matter for reduction in energy consumption in India?

2019 ◽  
Vol 13 (2) ◽  
pp. 359-376 ◽  
Author(s):  
Vaseem Akram ◽  
Bhushan Praveen Jangam ◽  
Badri Narayan Rath
Keyword(s):  
Human Capital ◽  
Energy Consumption ◽  
Energy Conservation ◽  
Least Squares ◽  
Negative Relationship ◽  
Ordinary Least Squares ◽  
Annual Data ◽  
Content Type ◽  
Long Run ◽  
Short Run

Purpose This paper aims to investigate whether improvement in human capital can foster energy conservation by reducing the energy consumption in India using annual data from 1980 to 2014. Further, this study examines the relationship between human capital and various forms of energy consumption such as electricity, coal, natural gas, hydrocarbon gas and petroleum consumption. Design/methodology/approach To attain the objective, the study investigates this relation through the auto-regressive distributed lag model (ARDL) technique to find a long-run and short-run relationship. Second, to check the robustness of the results, the authors use alternative econometric methods such as dynamic ordinary least squares and fully modified dynamic ordinary least squares. Findings The results reveal a negative relationship between human capital and energy consumption, which implies that improvement in human capital lowers the energy consumption and various forms energy consumption, except for petroleum consumption. The results derived from ARDL show that there exists a long-run and short-run association between human capital and energy consumption. The results are consistent across the econometric techniques. Practical implications Because G20 countries including India aim at reducing carbon emission to a certain level, this study provides an insight that by emphasizing on human capital, India can reduce energy consumption, which would foster energy conservation. Originality/value To the best of the authors’ knowledge, this the first study in India which attempts to examine the effect of human capital on energy consumption and its various forms.

scholarly journals Analysis of the New Kuznets Relationship: Considering Emissions of Carbon, Methanol, and Nitrous Oxide Greenhouse Gases—Evidence from EU Countries

2021 ◽  
Vol 18 (6) ◽  
pp. 2907
Author(s):  
Mara Madaleno ◽  
Victor Moutinho
Keyword(s):  
Nitrous Oxide ◽  
Least Squares ◽  
Fixed Effects ◽  
Ghg Emissions ◽  
Ordinary Least Squares ◽  
Kuznets Curve ◽  
Ekc Hypothesis ◽  
Long Run ◽  
Short Run ◽  
The Eu

Decreased greenhouse gas emissions (GHG) are urgently needed in view of global health threat represented by climate change. The goal of this paper is to test the validity of the Environmental Kuznets Curve (EKC) hypothesis, considering less common measures of environmental burden. For that, four different estimations are done, one considering total GHG emissions, and three more taking into account, individually, the three main GHG gases—carbon dioxide (CO2), nitrous oxide (N2O), and methane gas (CH4)—considering the oldest and most recent economies adhering to the EU27 (the EU 15 (Old Europe) and the EU 12 (New Europe)) separately. Using panel dynamic fixed effects (DFE), dynamic ordinary least squares (DOLS), and fully modified ordinary least squares (FMOLS) techniques, we validate the existence of a U-shaped relationship for all emission proxies considered, and groups of countries in the short-run. Some evidence of this effect also exists in the long-run. However, we were only able to validate the EKC hypothesis for the short-run in EU 12 under DOLS and the short and long-run using FMOLS. Confirmed is the fact that results are sensitive to models and measures adopted. Externalization of problems globally takes a longer period for national policies to correct, turning global measures harder and local environmental proxies more suitable to deeply explore the EKC hypothesis.

scholarly journals The economic market outcomes and income distribution when capital is not homogeneous

2019 ◽  
Vol 1 (1) ◽  
pp. 38-56
Author(s):  
Ahmet Özçam
Keyword(s):  
Measurement Problem ◽  
Physical Capital ◽  
Threshold Level ◽  
Market Model ◽  
Economic Market ◽  
Constant Elasticity ◽  
Content Type ◽  
Macroeconomic Analysis ◽  
Long Run ◽  
Short Run

Purpose An aggregate production function has been used in macroeconomic analysis for a long time, even though it seems that it is conceptually confusing and problematic. The purpose of this paper is to argue that the measurement problem related to the heterogenous capital input that exists in macroeconomics is also relevant to microeconomic market situations. Design/methodology/approach The author constructed a microeconomic market model to address both the problems of the measurement of the physical capital and of substitutability between labor and capital in the short run using two types of technologies: labor neutral and labor reducing. The author proposed that labor and physical capital inputs are complementary in the short run and can become substitutes only in the long run when the technology advances. Findings The author found that even if the technology improves at a fast rate over time, there are then diminishing returns of profits to technology and an upper limit to profits. Moreover, the author showed that under the labor-reducing technology, labor class earns more initially as technology improves, but their incomes start declining after some threshold level of passage of time. Originality/value The author cautioned the applied researcher that the estimated labor and capital coefficients of generalized Cobb–Douglas and constant elasticity of substitution of types of production functions could not be interpreted as partial elasticities of labor and capital if in reality the data come from fixed-proportions types of processes.

Exploring the relationship between macroeconomic indicators and sovereign credit default swap in Pakistan

2017 ◽  
Vol 18 (4) ◽  
pp. 368-380
Author(s):  
Abdul Rashid ◽  
Farooq Ahmad ◽  
Ammara Yasmin
Keyword(s):  
Exchange Rate ◽  
Credit Default Swap ◽  
Content Type ◽  
Macroeconomic Variables ◽  
Long Run ◽  
Credit Default ◽  
Macroeconomic Indicators ◽  
Short Run ◽  
The Exchange Rate ◽  
The Interest Rate

Purpose This paper aims to empirically examine the long- and short-run relationship between macroeconomic indicators (exchange rates, interest rates, exports, imports, foreign reserves and the rate of inflation) and sovereign credit default swap (SCDS) spreads for Pakistan. Design/methodology/approach The authors apply the autoregressive distributed lag (ARDL) model to explore the level relationship between the macroeconomic variables and SCDS spreads. The error correction model is estimated to examine the short-run effects of the underlying macroeconomic variables on SCDS spreads. Finally, the long-run estimates are obtained in the ARDL framework. The study uses monthly data covering the period January 2001-February 2015. Findings The results indicate that there is a significant long-run relationship between the macroeconomic indicators and SCDS spreads. The estimated long-run coefficients reveal that both the interest rate and foreign exchange reserves are significantly and negatively, whereas imports and the rate of inflation are positively related to SCDS spreads. Yet, the results suggest that the exchange rate and exports do not have any significant long-run impact on SCDS spreads. The findings regarding the short-run relationship indicate that the exchange rate, imports and the rate of inflation are positively, whereas the interest rate and exports are negatively related to SCDS spreads. Practical implications The results suggest that State Bank of Pakistan should design monetary and foreign exchange rate polices to minimize unwanted variations in the exchange rate to reduce SCDS spreads. The results also suggest that it is incumbent to Pakistan Government to improve the balance of payments to reduce SCDS spreads. The findings also suggest that the inflation targeting policy can also help in reducing SCDS spreads. Originality/value This is the first study to examine the empirical determinants of SCDS spreads for Pakistan. Second, it estimates the short- and long-run effects in the ARDL framework. Third, it considers both internal and external empirical determinants of SCDS spreads.

Does educational progress impact energy consumption? A causality test for India

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Soumen Rej ◽  
Barnali Nag
Keyword(s):  
Energy Consumption ◽  
Energy Supply ◽  
Causality Test ◽  
Content Type ◽  
Vector Error Correction ◽  
Educational Advancement ◽  
Long Run ◽  
Short Run ◽  
Development Goals ◽  
Per Capita

Purpose Both energy and education have been positioned as priority objectives under the itinerary of UN development goals. Hence, it is necessary to address the implicit inter relationship between these two development goals in the context of developing nations such as India who are trying to grow in both per capita income and socio economic factors whilst struggling with the challenges of a severe energy supply constrained economy. Design/methodology/approach In the present study, the causal relationship between energy consumption per capita and education index (EI) as a proxy of educational advancement is investigated for India for 1990–2016 using the Johansen-Juselius cointegration test and vector error correction model. Findings The empirical results infer although energy consumption per capita and EI lack short run causality in either direction, existence of unidirectional long run causality from EI to per capita energy consumption is found for India. Further, it is observed that energy consumption per capita takes around four years to respond to unit shock in EI. Research limitations/implications The findings from this study imply that with the advancement of education, a rise in per capita energy consumption requirement can be foreseen on the demand side, and hence, India’s energy policy needs to emphasize further its sustainable energy supply goals to meet this additional demand coming from a population with better education facilities. Originality/value The authors hereby confirm that this manuscript is entirely their own original study and not submitted elsewhere.

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