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This book is dedicated to real estate scholastic work, in advancing the greater understanding of real estate investment analysis. This is because there has been limited research in bringing out clearly the uncertainty or risk, which is quantifiable uncertainty in real estate market analysis. Even real estate market research, which is carried out as an industry practice among private real estate researches, is no exception. Another reason is that it has been widely accepted that while the financial revolution has substantially changed many sectors of the financial industry, it has made little impact on real estate development and investment practice as Ill as scholastic work. Furthermore, while it is readily acknowledged that despite its huge share in the world Ialth, real estate investment discipline and research is on the whole still a poorly researched subject area. As a result, the industry tends to be dominated by traditional real estate analysts with little understanding of real estate market uncertainty and capital markets. These commentators are widely regarded to spend too much time worrying about local space supply and demand conditions, while totally losing sight of the everchanging real estate market and capital market conditions. The theme of this book is real estate investment analysis of direct and indirect real, which in turn can be appropriately managed under economic theory and the theoretical conceptions of real estate finance, provided the uncertainty is quantifiable. The book deploys case studies involving Singapore and Asia. This Black over White background viii framework enables real estate market analysis to attempt what defines the Asian direct and indirect real estate sectors; what is being measured; how it behaves (in terms of price and non-price factors); how it is structured and how it effectively achieves the objectives of sustainable total returns and manageable real estate market uncertainty. Managing real estate market uncertainty optimally is achieved at the portfolio level through real estate asset allocation. This is important because the real estate portfolio is able to virtually eliminate the unique (i.e. specific) uncertainties among the various Asian real estate sectors; thus retaining within the portfolio only the systemic (i.e. market-wide) uncertainty. Apart from real estate asset allocation, the alternative and modern approach to risk management at the portfolio level, is the value-at-risk (VaR) approach. Another modern and important alternative to coping with uncertainty is real option analysis and pricing that help to better define real estate market uncertainty in extent and time. Real option analysis and pricing also represent uncertainty via a decision tree and the risk-neutral probability conception, in order to comprehend how uncertainty impacts on the value of real estate investment decisions. The pricing of uncertainty is based on the risk-free hedge security conception. These are best examined at the micro level of the investment in a real estate development opportunity on vacant land. Nevertheless, the real estate sectors in Singapore and Asia offer promising prospects since the Asian currency crisis of 1997. It is now timely to take stock and make an assessment of how the sectors would pan out for the future, Ill into at least rest the next century. I are very pleased to present our thinking and research in international real estate with particular emphasis on Asia. The region’s vast potential for real estate is itself a large incentive for international real estate research and education that has inspired me to document the significant work I have done over the years. Black over White background ix I wish all readers a pleasurable reading of this book, and I thank you sincerely for your support without which the publication of this book would be made all the more difficult. Dr HO, Kim Hin / David Honorary Professor (University of Hertfordshire, UK) (International Real Estate & Public Policy) March 2021.
This book is concerned with the unique findings, contributions and recommendations made on several crucial issues, relating to the concomitant subjects of direct real estate (DRE) risk premiums and DRE risk management. Chapter 1 examines the institutional nature of legal origin and the total returns (TRs), from investing in a country’s DRE and via the adoption of a multi-factor arbitrage pricing theory (APT) model. Chapter 2 affirms the true historical volatility to be a reasonable estimation of international DRE risk premiums, when the autoregressive lag orders of the de-smoothed returns and the multi-factor model are taken into account. Chapter 3’s real world of international DRE investing counts on sustainable international DRE investing, imperative for the investing organization’s willingness and preparedness to effectively manage risk or uncertainty, early enough as part of the risk management cycle, in pursuing high risk-adjusted TRs for DRE assets. Chapter 4 recommends a model of the intuitive build-up approach of forming the DRE investment hurdle rates for new DRE investing. The resultant DRE risk premiums serve a rough guide to ensure that the DRE hurdle rate is stringent and high enough, to achieve the risk-adjusted and Sharpe-optimal portfolio TR. Chapter 5 examines the integrated DRE investment strategy for a 13-city Pan Asia DRE portfolio, of office, industrial real estate and public listed DRE companies, adopting the analytic hierarchy process (AHP) and the Markowitz quadratic programming models. Such models enable the versatile strategic asset (SAA) and the tactical asset (TAA) allocations. Chapter 6 enables the DRE institutional investor to achieve a comprehensive and in-depth return and risk assessment at the DRE level for the 4 prime Asia residential sectors of Shanghai (SH), Beijing (BJ), Bangkok (BK), and Kuala Lumpur (KL), under the DRE VaR, incremental DRE VaR and the risk-adjusted return on capital (RAROC), Chapter 7 reiterates that public policies on macroeconomic management have to be consistent and non-conflicting in a widely accepted ‘policy compact’. It is because the policies reinforce the fundamental investment value of large and complex developments, affecting the sustainable viability like the integrated resort (IR)-at-Marina-Bay, Singapore. Chapter 8 draws attention to the aftermath of the Asian economic crisis, terrorism and viral epidemics, that compel more DRE investors to risk-diversify their operations beyond their primary market into other parts of Asia. However, limited studies examine risk-reduction diversification strategies via split returns i.e. decomposing TRs into rental-yield returns and capital value (CV) returns. Chapter 9 proposes and recommends the intelligent building (IB) framework, via the fuzzy logic (FL) engine, leading to a robust measure of building intelligence, and a standard guideline for a consistent performance-based structure for the promotion of the correct IB classification.
The book concludes with my life achievements, then discusses my expanded work experience, my published articles, my published books and citations of my articles.
Chapter 1 takes a close look at two types of heterogeneous investors (momentum and disposition) to form a unique difference model, to interpret housing price dynamics. Three parameters are crucial, namely, auto-correlation, the rate of mean reversion and the contemporaneous adjustment towards long-term equilibrium price. The key implication is that the 2006 boom of the Singapore private housing market does not offer as large a magnitude as that from the price gain in the 1990’s boom-and-recovery over the long-term. Singapore’s private housing market is low risk, offering stable returns owing to virtually no divergence even in the speculative 1990s. The best way to invest is to consider the momentum strategy and avoid the herd behaviour for profit sustainability. For policy makers, the Singapore private housing market is over-damped in the long run. Chapter 2 adopts game theory to look at the private residential development oligopolistic market; the determination of residential development sale prices in an uncertain market and under incomplete information of competing developers; the dynamic interaction among developers; the time lags of the development project completion from project start; and the launching of the residential development for sale before completion and the residential development’s own capacity constraints. Developers tend to cooperate for long-term benefit, leading to a sales slowdown. Relatively high profits, earnable in the first few periods, provide an allowance to price undercut others, to sell much faster. First-mover advantage in a new market is evident. As uncertainty rises, prices decrease while price variability increases. Chapter 3 looks at the institutional nature of legal origin and the total returns (TRs), derived from investing in a country’s direct real estate, and via the adoption of a multi-factor arbitrage pricing theory (APT) model. The 1st and 4th order autoregressive model is adopted to de-smooth the TRs. De-smoothed data is used in conjunction with 2 macroeconomic variables (real GDP growth rate and interest rate) and 1 real estate risk factor (vacancy rate) to form the multi-factor structural model. A pooled panel analysis is conducted with the law-system dummies, denoting British legal origin and French legal origin, and the factor loadings (i.e. the sensitivity of the risk factor to the TRs). Macroeconomic and real estate risk factors in equilibrium affect the TRs. Vacancy rate commands high and significant risk premium owing to its direct impact on the TRs, relative to GDP growth rate and interest rate. Chapter 4 is concerned with the real estate mezzanine investment (REMI), a new financial instrument for Asia’s real estate market, and examines the REMI structure, the measurement and characteristics of its risks and returns via a forward-looking binomial asset tree (BAT) model. Risk neutral pricing probability is adopted. REMI bears more risk than typical commercial bank loans, resulting in higher interest rates than pure equity. Different risk issues focus on two major sources - the financial loan to value (LTV) ratio risk and the real estate and capital markets risk. Chapter 4 fulfils the need to close the gap concerning the REMI structure and performance in the steady state, utilizing reliable, authoritative information and data sources. Lastly, Chapter 5 offers this book’s conclusion.
Chapter 1 examines the significance of ‘green’ buildings on the operational and financial performance of REITs. The Chapter covers different direct real estate sectors, namely office, retail and residential, for the REITS concerned to evaluate the consistency of the results. Chapter 2 looks at the risk neutral and non-risk neutral pricing of real estate investment trusts in Singapore (S-REITs), via comparing the average of the individual ratios (of deviation between expected and observed closing price/observed closing price), with the ratio (of standard deviation/mean) for closing prices, via the binomial options pricing tree model. Chapter3 highlights that while the Markowitz portfolio theory (MPT) is popular in modern finance to model portfolios with maximum total returns (TRs) for a given systematic risk, the more flexible multivariate copula model is introduced that enables investors and portfolio managers to obtain the optimal portfolio. Chapter 4 looks at a value investing framework, in which a REIT and real estate comany investment operation is deemed to be one, where a “thorough analysis”, should promise the safety of a principal and an adequate total return. Chapter 5 examines the market reactions of Malaysia’s listed property trusts and property common stocks to corporate restructuring activities – direct real estate asset acquisitions and new listings. Chapter 6 reports the Monetary Authority of Singapore (MAS) consultations with the Inland Revenue Authority of Singapore (IRAS) and the Ministry of Finance (MOF), to introduce the Income Tax Act (ITA) amendments, and a new temporary relief measure for real estate investment trusts (REITs) in Singapore. The Chapter also looks at the proposal by the Asian Public Real Estate Association (APREA) to the MAS, to create a private REIT structure Chapter 7 looks at the key issues and notes on the valuation of the public real estate investment trusts (REITs) and the real estate companies, adopting several valuation metrics to value REITs on a stand-alone and a relative basis. Chapter 8 looks at the unique Asian REIT institutional environment, pertaining to the S-REIT, while cross referencing it to that of the CapitaMall Trust (S-CMT) and the Hong Kong HK- Link REIT. Chapter 9 summarises the book’s findings and highlights the contributions and recommendations made.
This book is a novel treatment of modern project management from artificial intelligence (AI), entailing data analytics, neural networks, fuzzy logic, genetic algorithms; and data visualisation deploying agent based modelling for the knowledge based urban development (KBUD). The book can be adopted by design engineers, urban planners, project managers, quantity and real estate surveyors, public and private real estate developers, architects and scholars. Chapter 1 discusses that the traditional statistical method, which needs a priori parametric knowledge of linear or non-linear functions between the input and output variables. Nneural networks do not need such information to predict future possible outcomes. Chapter 2 reiterates that new private office and residential supply like in Hong Kong depend on current market prices, relative to the replacement or building costs. The market should equate prices with replacement costs that include the cost of land. Prices and costs may diverge because of lags and delays in the building process. Chapter 3 discusses the specific tasks to be planned to develop life cycle models and metrics to analyse technology and innovation. Such models can look into life cycle cost analysis (LCA). Chapter 4 draws attention to the trend that in a highly volatile world, the best point estimate of classical DCF model is not a reliable indication of investment worth. The fuzzy discounted cash flow (DCF) model offers a natural and intuitive way, based on a set of fuzzy inputs. The fuzzy net present value (NPV) for an office-cum-retail development is so estimated to provide the approximated evaluation of investment worth. Chapter 5 discusses the fuzzy tactical asset allocation (FTAA) model, incorporating intuitive decision making into the direct real estate project (asset) allocation process, from the expert investor prospective. The FTAA model improves the efficiency of asset allocation, adopting fuzzy set theory and fuzzy optimization theory. Chapter 6 reiterates that today’s city planners see the KBUD strategy as a new form of urban renewal for industrial cities. Planners believe KBUDs bring economic, technological progress and sustainable socio-spatial order to the contemporary city. Chapter 6 addresses the need for an urban design criterion that aids in efficient land use planning for KBUDs.
Considers real estate market analysis in the context of economic theory pertaining to market disequilibria, utilising data from major cities in Asia as case studies. This book looks at managing real estate market uncertainty at the portfolio level through the analytical techniques of real estate asset allocation.
This is the first book to fully present, analyse and interpret the Chinese real estate market. Dr Junjian Albert Cao examines the Chinese real estate market’s growth trajectory, unique governance and factors affecting values and investment in the context of reforms, rapid economic growth and urbanization. The book provides essential insights into the institutional change surrounding the development of the property market, government intervention at local and national levels, taxes and other regulatory charges, and factors such as market practices, economic changes, government policies and social changes that affect the value of real estate. Furthermore, the book analyses academic and policy debates on issues such as: commercial property investment housing price inflation property rights protection affordable and social housing market practices and regulation environment and sustainability taxation property-led growth and the reliance of local economic growth on the property sector The book offers a comprehensive, in-depth and up-to-date account of the Chinese property market and presents a full assessment of the investment potential of Chinese real estate. It is a must read for students, academics and real estate professionals interested in this fascinating real estate market that has implications for Chinese and the world economies.
How To Have The Millionaire Mindset In Real Estate And Be The Millionaire Chapter 1 takes a close look at the intuitive build-up approach in the formation of the direct real estate (DRE) investment hurdle rates for new DRE investing. Chapter 2 first examines the existence of appraisal smoothing for international DRE, via adopting the first and fourth order autoregressive model, to de-smooth the DRE total returns (TRs). Secondly, the 3-factor AHP (analytic hierarchy process) SAA (strategic asset allocation) model is studied by city and country. Chapter 3 is concerned with the need to know the DRE sector, in which the DRE asset(s) are located and of interest to local and international investors Chapter 3 focuses on superior, comprehensive DRE market (sector) structural behaviour market (sector) analysis, Chapter 4 looks in-depth at the risk adjusted return on capital (RAROC) on an ex-ante basis. RAROC is found, by dividing the expected TR in US$ terms by the RAROC capital, for individual pan Asia office sectors “i”. Chapter 5 acknowledges the in-depth contribution via value investing principles and the approaches, to evaluate the SG real estate investment trust (SREIT) common stocks. The “margin of safety” is also examined and pivotal on analytical reasoning and empirical data. Chapter 6 looks at the zone of expectation, which may well be generated from relatively wide H (high) and L (low) bands. Such wide bands accord with the SG private residential sector conditions. Chapter 7 offers this book’s conclusion
To fully function in today’s global real estate industry, students and professionals increasingly need to understand how to implement essential and cutting-edge quantitative techniques. This book presents an easy-to-read guide to applying quantitative analysis in real estate aimed at non-cognate undergraduate and masters students, and meets the requirements of modern professional practice. Through case studies and examples illustrating applications using data sourced from dedicated real estate information providers and major firms in the industry, the book provides an introduction to the foundations underlying statistical data analysis, common data manipulations and understanding descriptive statistics, before gradually building up to more advanced quantitative analysis, modelling and forecasting of real estate markets. Our examples and case studies within the chapters have been specifically compiled for this book and explicitly designed to help the reader acquire a better understanding of the quantitative methods addressed in each chapter. Our objective is to equip readers with the skills needed to confidently carry out their own quantitative analysis and be able to interpret empirical results from academic work and practitioner studies in the field of real estate and in other asset classes. Both undergraduate and masters level students, as well as real estate analysts in the professions, will find this book to be essential reading.