- Professor of Real Estate Financeedit
This paper investigates the macroeconomic sources of time-varying risk premia in Turkish REIT industry within the arbitrage pricing theory framework. Turkish REIT industry differs substantially from the global REIT market as Turkish REITs... more
This paper investigates the macroeconomic sources of time-varying risk premia in Turkish REIT industry within the arbitrage pricing theory framework. Turkish REIT industry differs substantially from the global REIT market as Turkish REITs do not have to pay out dividends, yet enjoy the exemption from paying corporate taxes, and have highly concentrated ownership structure. These fundamental differences have significant impacts on the performance of REITs compared to other stocks listed on Borsa Istanbul (BIST), especially in terms of the inflationhedging
characteristics and time-varying systematic risk behaviour. This article evaluates the Turkish REIT industry by using a time-varying multifactor model, which compares the REIT
industry excess returns with various macroeconomic factors, including GDP growth, industrial production growth, inflation risk premium, and stock market risk premium. Our results provide the evidence of time-varying linkages among macroeconomic risks and the conditional first and second moments of excess returns on REITs. We find that among the macroeconomic factors, inflation risk appears to be the major concern in REIT investment. Additionally, Turkish REITs behave more like stocks than real estate. The documented perverse inflation hedges of REITs, the positive correlation between REIT returns and volatility of real economic activity,
and the significant influence of ISE equity risk premium on REIT returns can be quoted as the indications of deviation of REITs’ performance from real estate performance. If REITs behave more like stocks than real estate, the diversification benefits of having REITs in a multi-asset portfolio is seriously reduced.
characteristics and time-varying systematic risk behaviour. This article evaluates the Turkish REIT industry by using a time-varying multifactor model, which compares the REIT
industry excess returns with various macroeconomic factors, including GDP growth, industrial production growth, inflation risk premium, and stock market risk premium. Our results provide the evidence of time-varying linkages among macroeconomic risks and the conditional first and second moments of excess returns on REITs. We find that among the macroeconomic factors, inflation risk appears to be the major concern in REIT investment. Additionally, Turkish REITs behave more like stocks than real estate. The documented perverse inflation hedges of REITs, the positive correlation between REIT returns and volatility of real economic activity,
and the significant influence of ISE equity risk premium on REIT returns can be quoted as the indications of deviation of REITs’ performance from real estate performance. If REITs behave more like stocks than real estate, the diversification benefits of having REITs in a multi-asset portfolio is seriously reduced.
Research Interests:
Research Interests:
This paper adopts the methodology in Bali and Cakici (2008) in tracking the evolution of the relation between REITs’ idiosyncratic risk and their cross-sectional expected returns between 1981 and 2010. In addition to the full sample... more
This paper adopts the methodology in Bali and Cakici (2008) in tracking the evolution of the relation between REITs’ idiosyncratic risk and their cross-sectional expected returns between 1981 and 2010. In addition to the full sample period, we study this relation for (i) January 1981-December 1992, (ii) January 1993-September 31, 2001, (iii) November 2001-August 2008 and (iv) November 2001-December 2010 and produce empirical results for (i) all sample REITs, (ii) REITs with a price greater than $10 and (iii) REITs with a price greater than $5. Each period represents different dynamics (including GFC) in the life of the REIT industry and leads to a different hypothesis. Further, we present comparative results based on the Fama-French 3- and 4-factor models. Overall, we document a negative relation between idiosyncratic risk and cross-sectional expected returns and demonstrate that the root cause of this negative relation changes over time. Interestingly, REITs with a price of $5-to-$10 do well in 2009 and 2010. Further, the momentum factor appears to be influential since the first-ever listing of a REIT in the S&P 500 Index in early October 2001.
Research Interests:
Abstract: For some two millennia Istanbul has been one of the world’s greatest cities, and is today classified as an “Alpha-“ world city in the Globalization and World Cities (GaWC) group’s 2010 rankings. Istanbul is an emerging global... more
Abstract: For some two millennia Istanbul has been one of the world’s greatest cities, and is
today classified as an “Alpha-“ world city in the Globalization and World Cities (GaWC) group’s 2010 rankings. Istanbul is an emerging global city that is facilitating Turkey’s transnational integration into the global economy, and as of June 2009 the city had the second largest office stock among all Southeast European countries. This paper investigates the determinants of office rent levels in the city’s Central Business District (CBD) and the spatial variation of rents in a polycentric metropolis. The paper uses a stepwise regression and a Mamdani-type fuzzy rule–based model to estimate office space rents, and compares empirical results with those of a conventional OLS regression analysis. Rents are driven not only by physical characteristics and locational services, but also the terms of lease contracts. New CBD locations that command the highest rents on spacious, high-rise office spaces with comparatively few employees conform well with contemporary accounts of world-city financial districts, and confirm the significance of urban office infrastructures for globally oriented financial elites beyond the familiar roster of Global North world cities. The traditional center retains the core purpose identified nearly a century ago, in Marshall’s analysis of centralization during the most vibrant period of the industrial age. Despite all the transformations of transnational urbanist polycentricity, the traditional CBD is still the place with the most diverse mix of activities, and the greatest variation in rents.
[Key words: real estate appraisal, determinants of office rents, Istanbul office market, polycentric urban form, Mamdani-type fuzzy rule–based models.]
today classified as an “Alpha-“ world city in the Globalization and World Cities (GaWC) group’s 2010 rankings. Istanbul is an emerging global city that is facilitating Turkey’s transnational integration into the global economy, and as of June 2009 the city had the second largest office stock among all Southeast European countries. This paper investigates the determinants of office rent levels in the city’s Central Business District (CBD) and the spatial variation of rents in a polycentric metropolis. The paper uses a stepwise regression and a Mamdani-type fuzzy rule–based model to estimate office space rents, and compares empirical results with those of a conventional OLS regression analysis. Rents are driven not only by physical characteristics and locational services, but also the terms of lease contracts. New CBD locations that command the highest rents on spacious, high-rise office spaces with comparatively few employees conform well with contemporary accounts of world-city financial districts, and confirm the significance of urban office infrastructures for globally oriented financial elites beyond the familiar roster of Global North world cities. The traditional center retains the core purpose identified nearly a century ago, in Marshall’s analysis of centralization during the most vibrant period of the industrial age. Despite all the transformations of transnational urbanist polycentricity, the traditional CBD is still the place with the most diverse mix of activities, and the greatest variation in rents.
[Key words: real estate appraisal, determinants of office rents, Istanbul office market, polycentric urban form, Mamdani-type fuzzy rule–based models.]
