Integration between real estate and stock markets: new evidence from Pakistan

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Imran Yousaf ◽  
Shoaib Ali
Keyword(s):  
Real Estate ◽  
Stock Market ◽  
Stock Markets ◽  
Content Type ◽  
Real Estate Markets ◽  
The Real ◽  
The Real Estate ◽  
Long Run ◽  
Short Run ◽  
The Relationship

Purpose This study aims to empirically examine the relationship between real estate and stock market of Pakistan. Design/methodology/approach The data of two real estate indices (house price index and plot price index) are taken for the Pakistan and its four big cities, i.e. Lahore, Karachi, Rawalpindi and Islamabad. It estimates the integration between series by applying the Johansen cointegration test. Moreover, the vector error correction model is applied to examine the short and long-run causal relationships between series. Findings The findings show that the real estate markets are cointegrated with the stock market. They imply that the real estate and stock markets are good substitutes in investment allocation, but investors cannot get the benefit of diversification by making a portfolio of real estate and stock markets in Pakistan. Moreover, the long-run causality is observed from majority house markets to the stock market, whereas short-run causality is evident from majority plot markets to the stock market. Hence, the real estate market leads the stock market in the short run and long run, suggesting the credit-price effect in the majority of real estate markets in Pakistan. These causality results are helpful for investors in the forecasting of real estate and stock markets in Pakistan. Research limitations/implications The limitation of the study is the lower number of observations (107), because house and land prices are only available in monthly frequency from January 2011 in Pakistan. Originality/value To the best of the authors’ knowledge, no researcher has investigated the real estate and stock market nexus in Pakistan. Therefore, this study focuses on examining the relationship between the real estate and stock market of Pakistan. The link between real estate and stock markets will provide useful insights to the portfolio managers, real estate companies, property agents, stockbrokers and investors.

scholarly journals Time–Scale Relationship between Securitized Real Estate and Local Stock Markets: Some Wavelet Evidence

2019 ◽  
Vol 12 (1) ◽  
pp. 16 ◽  
Author(s):  
Kim Hiang Liow ◽  
Xiaoxia Zhou ◽  
Qiang Li ◽  
Yuting Huang
Keyword(s):  
Real Estate ◽  
Stock Market ◽  
Time Scale ◽  
Stock Markets ◽  
Real Estate Markets ◽  
Long Run ◽  
Short Run ◽  
The Relationship ◽  
Local Stock ◽  
Domestic Stock

: This study revisits the relationship between securitized real estate and local stock markets by focusing on their time-scale co-movement and contagion dynamics across five developed countries. Since securitized real estate market is an important capital component of the domestic stock market in the respective economies, it is linked to the stock market. Earlier research does not have satisfactory results, because traditional methods average different relationships over various time and frequency domains between securitized real estate and local stock markets. According to our novel wavelet analysis, the relationship between the two asset markets is time–frequency varying. The average long run real estate–stock correlation fails to outweigh the average short run correlation, indicating the real estate markets examined may have become increasingly less sensitive to the domestic stock markets in the long-run in recent years. Moreover, securitized real estate markets appear to lead stock markets in the short run, whereas stock markets tend to lead securitized real estate markets in the long run, and to a lesser degree medium-term. Finally, we find incomplete real estate and local stock market integration among the five developed economies, given only weaker long-run integration beyond crisis periods.

scholarly journals COVID-19 Infects Real Estate Markets: Short and Mid-Run Effects on Housing Prices in Campania Region (Italy)

2020 ◽  
Vol 9 (7) ◽  
pp. 114 ◽  
Author(s):  
Vincenzo Del Giudice ◽  
Pierfrancesco De Paola ◽  
Francesco Paolo Del Giudice
Keyword(s):  
Real Estate ◽  
Housing Prices ◽  
Real Estate Market ◽  
Campania Region ◽  
Real Estate Markets ◽  
The Real ◽  
The Real Estate ◽  
Short Run ◽  
Predator Model ◽  
Real Estate Prices

The COVID-19 (also called “SARS-CoV-2”) pandemic is causing a dramatic reduction in consumption, with a further drop in prices and a decrease in workers’ per capita income. To this will be added an increase in unemployment, which will further depress consumption. The real estate market, as for other productive and commercial sectors, in the short and mid-run, will not tend to move independently from the context of the aforementioned economic variables. The effect of pandemics or health emergencies on housing markets is an unexplored topic in international literature. For this reason, firstly, the few specific studies found are reported and, by analogy, studies on the effects of terrorism attacks and natural disasters on real estate prices are examined too. Subsequently, beginning from the real estate dynamics and economic indicators of the Campania region before the COVID-19 emergency, the current COVID-19 scenario is defined (focusing on unemployment, personal and household income, real estate judicial execution, real estate dynamics). Finally, a real estate pricing model is developed, evaluating the short and mid-run COVID-19 effects on housing prices. To predict possible changes in the mid-run of real estate judicial execution and real estate dynamics, the economic model of Lotka–Volterra (also known as the “prey–predator” model) was applied. Results of the model indicate a housing prices drop of 4.16% in the short-run and 6.49% in the mid-run (late 2020–early 2021).

Intensity of shock transmission amid US-BRICS markets

2015 ◽  
Vol 10 (3) ◽  
pp. 311-328 ◽  
Author(s):  
P. Lakshmi ◽  
S. Visalakshmi ◽  
Kavitha Shanmugam
Keyword(s):  
Stock Market ◽  
Granger Causality ◽  
Stock Markets ◽  
Subprime Mortgage ◽  
Content Type ◽  
Brics Countries ◽  
Long Run ◽  
The Us ◽  
The Usa ◽  
Short Run

Purpose – The purpose of this paper is to analyze the intensity of transmission of shocks from USA to BRICS countries in the long-run and short-run deviations and swiftness of recovery during US subprime mortgage crisis. This analysis enables the authors to explore the evolving patterns of relationships between these markets and examine whether their co-movements altered either in response to international shocks that originated in advanced markets like USA or due to their domestic fluctuations. Design/methodology/approach – Employing data of daily stock market indices (open and close) of BRICS countries for the period January 2, 2001 to May 31, 2012, this paper examines the interactions and characteristics of price movements of BRICS with US market by applying co-integration tests, vector error correction model and Granger causality relationship. The daily stock market indices data are derived from respective stock exchange web sites. Findings – The results exhibit that both long-run co-integration relationships and short-run Granger causality relationships exist between the stock markets of US-BRICS. Furthermore, this nexus is amplified in the short-run during 2007-2009, when the subprime mortgage financial crisis in the USA cropped up. This finding lends support to the prominence of developed (US) market links in the proliferation of persistent co-movements of BRICS stock markets. Research limitations/implications – The findings imply an increasing degree of global market integration due to quick dissemination of global shocks originating from developed market like USA, and swift recovery which can be attributed to the increased resilience, consistent with the moderated level of domestically driven risk in the BRICS markets. In spite of their similarities, long-run and short-run interdependences with the US stock market exhibit differences among the BRICS. This can be attributed to the regional heterogeneity in long-run risk and return co-movements with the USA. Practical implications – Changes from the US index easily affect these stock markets in the short-run, which implies that the US index may act as a leading indicator for investing funds in BRICS markets. Originality/value – This study would enable the authors to understand whether BRICS economies actually remain resilient to adverse developments in USA and could serve as alternative investment destinations for global portfolio diversification.

European emerging real estate markets

2016 ◽  
Vol 34 (1) ◽  
pp. 27-50 ◽  
Author(s):  
Martin Haran ◽  
Michael McCord ◽  
Peadar Davis ◽  
John McCord ◽  
Colm Lauder ◽  
...  
Keyword(s):  
Czech Republic ◽  
Real Estate ◽  
Emerging Markets ◽  
Investment Portfolio ◽  
Real Estate Investment ◽  
The Czech Republic ◽  
Content Type ◽  
Real Estate Markets ◽  
The Real ◽  
The Real Estate

Purpose – The purpose of this paper is to improve the transparency of European emerging real estate market dynamics and performance attributes in the wake of the 2007-2008 global financial crisis (GFC). The paper examines the extent and nature of inter-relationships between three emerging real estate markets namely, the Czech Republic, Hungary and Poland as well as determining the rationale for including emerging real estate markets within a Pan-European investment portfolio. The paper affords a timely update following the reinstatement of lending provision for European emerging real estate investment markets in 2014. Design/methodology/approach – The paper employs lead-lag correlations and Grainger causality to examine inter and intra relationships across three emerging European real estate markets, namely the Czech Republic, Hungary and Poland over the period 2006-2014. Optimal portfolio analysis is undertaken to explore the role of emerging real estate markets within the confines of a multi-asset investment portfolio as well as a Pan-European real estate investment portfolio. Findings – The findings demonstrate the opportunities afforded by the European emerging real estate markets in terms of both performance enhancement and risk diversification. Significantly, the findings highlight the lack of “uniformity” across the European emerging markets in terms of their investment potential, with Grainger causality confirming that the real estate markets in the Czech Republic, Hungary and Poland are not endogenous functions of one-another’s performance. Practical implications – This paper makes a considered contribution to the analytical interpretation of European emerging property market performance across the real estate cycle. The research demonstrates that the real estate markets in the Czech Republic, Hungary and Poland exhibit specific investment characteristics which differentiate them from the more developed real estate markets across Europe. Indeed emerging markets have the propensity to serve as both a risk diversifier as well as performance enhancer within the confines of a pan-European real estate investment portfolio. However, as the research clearly articulates, intricate understanding of the attributes afforded by the different emerging markets as well as the divergence in sectoral dynamics/performance is integral to portfolio allocation strategies. Originality/value – Robust academic research on Europe’s emerging real estate markets has been hampered by deficiencies in data provision. This study makes an innovative and timely contribution to redressing the research vacuum through delineated examination of the performance dynamics of three markets namely, the Czech Republic, Hungary and Poland, across the real estate cycle. The role and function of emerging markets is depicted within the confines of a Pan-European direct real estate investment portfolio at the all property level and in terms of sectoral specific allocations comprising retail, office and industrial. The explicit added value of the paper is the propensity to bench-mark the performance of emerging markets real estate markets on a like-for-like basis with developed real estate markets across Europe facilitating the exploration of the role and function of emerging real estate markets within a Pan-European investment context.

Impact of terrorism on stock markets across the world and stock returns

2019 ◽  
Vol 26 (3) ◽  
pp. 793-807 ◽  
Author(s):  
Laila Memdani ◽  
Guruprasad Shenoy
Keyword(s):  
Stock Market ◽  
Stock Markets ◽  
Performance Measure ◽  
Short Term ◽  
Content Type ◽  
Global Indices ◽  
Long Run ◽  
Short Run ◽  
The Impact ◽  
Affected Country

Purpose The purpose of this paper is to study the following: short-run and long-run associations between the terror-affected country’s stock market index and other global countries’ equity indices and gold; the volatility of stock market indices when one of the countries is affected by a terrorist attack; and the linkages between terrorism and the returns in the selected stock markets. Design/methodology/approach To study the impact of the Taj attack on other global indices, the authors selected top five countries’ stock market indices, namely, FTSE, DJI, NIKKEI, SSEC and DAX. The short-run and long-run associations are also compared with gold. The authors used the autoregressive distributed lag model, LM test and bounds test for analyzing the short-run and long-run impact; ARCH family models to study the volatility impact; and the MAR model to study the impact on returns. Findings The authors found that all the global indices had a short-run association with the terror-affected country’s benchmark index, i.e. BSE. Gold moved as expected, with it having a short-run impact on the terror-affected country. All the global indices except DJI have volatility of share price movement either positively or negatively. As the benchmark of the terror-affected country fell, NIKKEI, HSI, IXIC, DAX and CAC also fell; that is, it had a positive influence on the terror-affected country’s index. Post the Mumbai attacks, DJI, NIKKEI, SSEC, DAX, BSE and CAC performed well in performance measure returns compared with the pre-attack period. Whereas, FTSE and GOLD performed well in performance measure returns in the pre-attack period compared with the post-attack period. GOLD proved that it is the best avenue to invest in, as it has only a short-term association with the terror-affected country’s index. Research limitations/implications The authors studied the short-run and long-run associations with only five countries’ benchmark indices. Practical implications The authors found that all the global indices had long- and short-run associations with the terror-affected country’s benchmark index, i.e. BSE. Global indices like DJI, NIKKEI, SSEC, DAX and FTSE had a short-term association with the affected country’s index. Gold moved as expected, with it having a short-run impact on the terror-affected country. All the global indices except DJI have volatility of share price movement either positively or negatively. As the benchmark of the terror-affected country fell, NIKKEI, HSI, IXIC, DAX, TSX, BVSP and CAC also fell; i.e., it had a positive influence on the terror-affected country’s index. Post the Mumbai attacks, DJI, NIKKEI, SSEC, DAX, BSE and CAC performed well in performance measure returns compared with the pre-attack period. Whereas, FTSE and GOLD performed well in performance measure returns in the pre-attack period compared with the post-attack period. GOLD proved that it is the best avenue to invest in, as it has only a short-term association with the terror-affected country’s index. In all the relationships were mixed with respect to terror attacks, and GOLD took the lead run out of all the associations it had in the 16-year time span from 2000 to 2016. Social implications The research has got an important implication to the investors. It shows that patience is the key, as all the indices had only short-term associations with the BSE. It implies that investors’ returns will be negative in the short run, but if they continue investing, in the long run, the impact of terrorism tapers out and the returns will increase. Originality/value There is a lot of research done on the impact of the US attacks on the stock markets of other countries, but on the impact of the Taj attack in India, there is hardly any research.

scholarly journals International Real Estate Review

2014 ◽  
Vol 17 (2) ◽  
pp. 157-202
Author(s):  
Kim Hiang Liow ◽  
◽  
Felix Schindler ◽  
Keyword(s):  
Real Estate ◽  
Stock Markets ◽  
Research Work ◽  
The Real ◽  
The Real Estate ◽  
Dynamic Relationship ◽  
Long Run ◽  
International Environment ◽  
The Individual ◽  
Dynamic Relationships

The primary contribution of this study is to comprehensively assess whether public real estate and stock markets are linked at the local, regional, and global levels, and assess the evolution of their dynamic relationship and gradual integration during the last two decades. For individual pairs of real estate and stock markets, our analysis shows that the current levels of local, regional, and global correlations between real estate and stock markets are time-varying, and at most, moderate at the respective integration levels. The real estate and stock markets are both contemporaneously and causally linked in their returns and volatilities; however, the causality relationship appears weaker. In the long run, the real estate markets have slowly become more integrated with the global and regional stock markets, while less integrated with the local stock markets. In addition, the extracted common factors allow for a direct assessment of the dynamic relationships between the real estate and stock markets as a group, and thereby complement the individual results. Finally, there appears to be a declining real estate and stock return dispersion and differential at the local, regional, and global levels for all nine economies studied in this research work, which indicate a tendency of return convergence between real estate and stock markets in the international environment.

scholarly journals The Real Estate Market and Financial Stability

2020 ◽  
Vol 5 (6) ◽  
pp. 1270-1283
Author(s):  
My-Linh Thi Nguyen ◽  
Toan Ngoc Bui
Keyword(s):  
Real Estate ◽  
Financial Stability ◽  
Real Estate Market ◽  
Data Series ◽  
Stock Market Volatility ◽  
The Real ◽  
The Real Estate ◽  
Long Run ◽  
The Real Estate Market ◽  
Short Run

This paper investigates the relationship between the real estate market (REM) and financial stability in Vietnam. Financial stability is measured using stock market volatility. The research is performed in Vietnam, a developing country whose stock and real estate markets are considered to be nascent, so the data series is very short. To solve this problem, the autoregressive distributed lag (ARDL) approach, which generates more valid results than its counterparts, is adopted. Furthermore, the ARDL approach is appropriate for a model with non-stationary data series and especially allows the analysis of the impact between data series in the short run and the long run. The results reveal the positive relationship between the real estate market and stock market volatility. However, this correlation only exists in the short run, which is a difference between Vietnam and developed countries. The paper also obtains an unprecedented finding confirming that the global financial crisis exerted a negative impact on the REM in Vietnam in the short run and the long run.

Prescience evidence of the housing market and production sector performance nexus

2019 ◽  
Vol 12 (1) ◽  
pp. 131-147 ◽  
Author(s):  
Andrew Adewale Alola
Keyword(s):  
Real Estate ◽  
Housing Market ◽  
Housing Sector ◽  
Stable Model ◽  
Production Sector ◽  
Content Type ◽  
The Real ◽  
The Real Estate ◽  
Long Run ◽  
Sector Performance

PurposeObservation of misalignment of the house prices with fundamentals in Malta was recently investigated (Vakili-Zad and Hoekstra, 2011; Micallef, 2018). As such, this study aims to investigate nexus evidence of the housing market and production sector performance in Malta by using quarterly data spanning from 2005Q1 to 2016Q4.Design/methodology/approachIndustrial expansion and development indicator-producer price index (ppi) and unemployment (uem) are used along with volatility index (vix) and fertility rate (frate) as control variables in a multivariate autoregressive distributed lag approach.FindingsPrecisely, the investigation reveals that any disequilibrium in the long-run equilibrium among these variables is subsequently corrected by the movement in the housing market vis-à-vis real residential property price. As the system is observed to adjust with a speed of 39.7 per cent in a situation of economic disequilibrium, the long-run impacts on the housing market are positive for ppi and vix but negative for frate and eum. The observed direction of the impacts in the short-run are the same as in the long-run for all variables. A reported sensitivity test indicates a very minimal differential impact for each variable in the long-run but with a significantly different adjustment parameter of 81.9 per cent. Also, the estimated system posits a very stable model that is void of serial correlation and heteroskedasticity.Research limitations/implicationsIn view of the vibrant nature of the real estate and the housing sector of the country, consideration of the effective policy instruments provided by this study is strongly encouraged. On a wider note, these practicable tools could further be recommended to other regional countries.Originality/valueThe research presents a novel perspective of the real estate and housing sector of Malta, specifically in the light of economic diversification. The country’s housing sector is studied in relation with the performance of other sectors for the first time.

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