scholarly journals The Long-Run Relationship Between Consumption, House Prices, and Stock Prices in South Africa: Evidence from Provincial-level Data

2014 ◽  
Vol 22 (1) ◽  
pp. 83-99
Author(s):  
Nicholas Apergis ◽  
Beatrice Simo-Kengne ◽  
Rangan Gupta
2012 ◽  
Vol 20 (1) ◽  
pp. 97-117 ◽  
Author(s):  
Beatrice Simo-Kengne ◽  
Manoel Bittencourt ◽  
Rangan Gupta

2013 ◽  
Vol 17 (2) ◽  
pp. 188-198 ◽  
Author(s):  
Roula Inglesi-Lotz ◽  
Rangan Gupta

This paper investigates whether house prices provide a suitable hedge against inflation in South Africa by analysing the long-run relationship between house prices and the prices of non-housing goods and services. Quarterly data series are collected for the luxury, large middle-segment, medium middle-segment, small middle-segment and the entire middle segment of house prices, as well as, the consumer price index excluding housing costs for the period 1970:Q1–2011:Q1. Based on autoregressive distributed lag (ARDL) models, the empirical results indicate long-run cointegration between the house prices of all the segments and the consumer price index excluding housing costs. Moreover, the long-run elasticity of house prices with respect to prices of non-housing goods and services, i.e., the Fisher coefficient is greater than one for the luxury segment, virtually equal to one for the small middle-segment, and less than one for the large and medium middle-segments, as well as the affordable segments. More importantly though, the estimated Fisher coefficients are not statistically different from unity – a result consistent with the proposed theoretical framework relating housing prices and consumer prices excluding housing expenditure. In general, we infer that house prices in South Africa provide a stable inflation hedge in the long-run.


Author(s):  
Veli Akel ◽  
SerkanYılmaz Kandır ◽  
Özge Selvi Yavuz

All the emerging markets are vulnerable to the fears of capital outflows after the US Federal Reserve's tapering on May 22, 2013. The term “Fragile Five” was introduced by a research note of Morgan Stanley to refer to the countries of Brazil, India, Indonesia, South Africa and Turkey. The aim of this study is to examine whether there are stock and foreign exchange markets integration among Brazil, India, Indonesia, South Africa and Turkey. The authors employ cointegration-based tests, vector error correction modeling techniques, and Granger causality tests to examine the long-run and short-run linkages between stock prices and exchange rates. The results of cointegration tests suggest that there is one long-run stationary relationship between the stock indices and the foreign exchange rates. Four of the Fragile Five (excluding Brazil) show that the stock prices are positively associated with exchange rates. Finally, vector error correction estimates lead to miscellaneous results.


2012 ◽  
Vol 13 (4) ◽  
pp. 600-613 ◽  
Author(s):  
Riona Arjoon ◽  
Mariëtte Botes ◽  
Laban K. Chesang ◽  
Rangan Gupta

The existing literature on the theoretical relationship between the rate of inflation and real stock prices in an economy has shown varied predictions about the long run effects of inflation on real stock prices. In this paper, we present some time series evidence on this issue using South African data, by applying the structural bivariate vector autoregressive (VAR) methodology proposed by King and Watson (1997). Our empirical results provide considerable support of the view that, in the long run real stock prices are invariant to permanent changes in the rate of inflation. The impulse responses reveal a positive real stock price response to a permanent inflation shock in the long run, indicating that any deviations in short run real stock prices will be corrected towards the long run value. It is therefore concluded that inflation does not lower the real value of stocks in South Africa, at least in the long run.


2013 ◽  
Vol 28 (8) ◽  
pp. 1133-1154 ◽  
Author(s):  
Beatrice D. Simo-Kengne ◽  
Rangan Gupta ◽  
Manoel Bittencourt

Author(s):  
Hazmi Hamizan Mohd Zaki

This paper studied how house prices were affected by macroeconomic factors from Q1 2009 to Q4 2018. The short and long-run effects of real income, nominal interest rates, inflation rate and stock prices on house prices in Malaysia were examined with the autoregressive distributed lag (ARDL) of a restricted error correction model (ECM). It was discovered that the selected macroeconomic factors were cointegrated with house prices. Income, represented by real Gross Domestic Product (GDP), significantly affected house prices in the short and long-run. Inflation and interest rate, proxied by Consumer Price Index (CPI) and Overnight Policy Rate (OPR), respectively, affected house prices significantly in the long-run. The stock market, tracked by Kuala Lumpur Composite Index (KLCI), had no significant impact on house prices signifying no wealth effect. Through the findings of an inelasticity of demand and an undesirable result of monetary policies, this paper concluded that more effective solutions needed to be carried out to ensure affordability of house ownership in Malaysia.


2018 ◽  
Vol 21 (4) ◽  
pp. 447-471
Author(s):  
Mohsen Bahmani-Oskooee ◽  
◽  
Seyed Ghodsi ◽  

Increases in stock prices are said to affect house prices due to the wealth effect. Researchers have used aggregate indexes of both house and stock prices from different countries and produced mixed and poor results in support of the wealth effect. Like them, we find long-run support for the wealth effect in six out of 18 OECD countries when we use a linear model. However, when we separate the increases in stock prices from declines and estimate a nonlinear model, a long-run wealth effect is observed in 13 out of 18 OECD countries. Not only are the long-run effects asymmetric in all 13 countries, but so are the short-run effects in all of the countries.


2016 ◽  
pp. 2257-2273
Author(s):  
Veli Akel ◽  
SerkanYılmaz Kandır ◽  
Özge Selvi Yavuz

All the emerging markets are vulnerable to the fears of capital outflows after the US Federal Reserve's tapering on May 22, 2013. The term “Fragile Five” was introduced by a research note of Morgan Stanley to refer to the countries of Brazil, India, Indonesia, South Africa and Turkey. The aim of this study is to examine whether there are stock and foreign exchange markets integration among Brazil, India, Indonesia, South Africa and Turkey. The authors employ cointegration-based tests, vector error correction modeling techniques, and Granger causality tests to examine the long-run and short-run linkages between stock prices and exchange rates. The results of cointegration tests suggest that there is one long-run stationary relationship between the stock indices and the foreign exchange rates. Four of the Fragile Five (excluding Brazil) show that the stock prices are positively associated with exchange rates. Finally, vector error correction estimates lead to miscellaneous results.


2015 ◽  
Vol 8 (1) ◽  
pp. 79
Author(s):  
Onelie Nkuna

<p>This paper looks at intra-SADC FDI, focusing at South Africa outward FDI into SADC countries. LSDV and GMM estimation techniques are applied in a gravity model for the period 1999 to 2010. The study finds strong evidence that intra-trade and intra-FDI are negatively related, suggestive of a substitutive relationship between intra-SADC trade and intra-SADC FDI. The study also reveals that capital account openness, bilateral investment treaties, and labour availability are key in promoting intra-SADC FDI flows. Further, the study finds evidence that agglomeration effects are important for South African investors into SADC despite the fact that they are operating in a common region. The study also finds that FDI from developed countries complement with FDI from South Africa.</p>lts indicate that there is long-run level equilibrium relationship between the stock price of Taiwan and the NTD/USD exchange rates at lower distribution of stock prices, and at higher and lower distribution of exchange rates. The causality results show that there is unidirectional causality running from Taiwan stock price to the NTD/USD exchange rate at higher distribution of exchange rates. The result shows that there is evidence in favor of the portfolio hypothesis.<p> </p>


Sign in / Sign up

Export Citation Format

Share Document