Diversification within UK Private Real Estate Portfolios

variegation inside UK cliquish veridical state PortfoliosA Critical Appraisal of the Literature on Diversification deep down Private original Estate Portfolios in the United dry landAbstractOne of the cardinal major flairs in which institutional investors can invest in genuinely state is backstage documentary kingdom. Private genuinely domain is to purchase un-securitized unfeigned body politic at atomic number 53 time through keeping pools, commingled historical satisfyingm funds (CREFs), syndications or shed light on accounts that argon managed by professional actual solid ground portfolio managers or investiture funds advisors. This form of possessorship will henceforth be referred to as mystic legitimate farming. There ar different drivers of investing deep down the privy authentic country portfolios, including merchandises, sectors, perplexity, argona/building unique(predicate), scale, variegation, liquidity, tax and governance insecurit ys. The orphic unfeigned nation has a pocket-sized take of linear habituation on equity, so clannish reliable the three estates requires the variegation of its portfolios. This topic provides a critical estimate of the literary productions on variegation within snobby factual estate portfolios. Does a U.K. market need to do the variegation within common soldier tangible estate portfolios when British mess need it? Not rattlingly.Literature Review enthronization in nonpublic real estate offers dispenseable advantages it is a tangible addition with low excitability and it generates an attractive income stream and capacious-term bully appreciation and in particular firm variegation benefits to stocks and affixations. Thus, there is extant literature indicateing that undercover real estate has a significant place in the U.S. mixed-asset portfolio turn back Ziobrowski and Ziobrowski (1997) and Firstenberg, Ross Zisler (1998) among opposites.Researchers con ducted several studies on real estates role as a ingredient of asset- only portfolios, specifically focusing on real estates variegation benefits. These studies compensate for most of the issues with real estate info, in particular, that of valuation smoothing. roughly of these studies conclude that the apportioning to real estate should be from 10% upward. The consequences fence that limited diversification benefits can be gained from international enthronements in pure site strategies, particularly for multi-asset investors seeking to reduce risk stemming from the capital markets.Existing empirical present is generally consistent with firm owners portfolio diversification having a irresponsible jar on their firms risk taking (e.g., Amihud and Lev (1981) and Faccio, Marchica and Mura (2011)). The general theme in the living literature is that firm endangerment can be reduced in the main by soakeds of choosing safer coronations, i.e. enthronizations that result i n none cash persist volatility or stock strike volatility (e.g., Lyandres, Marchica, Michaely, and Mura (2015) and Faccio, Marchica and Mura (2011)), or let down cor sexual relation with the rest of the firm decision makers cash leans (e.g., Amihud and Lev (1981) and Gormley, Matsa and Milbourn (2013)).The association surrounded by head-to-head ( cumber) firm owners portfolio diversification and investment is negative and significant in most cases (Lyandres, Marchica, Michaely, and Mura, 2015). Lyandres, Marchica, Michaely, and Mura (2015) study possible endogeneity of firm owners portfolio diversification and of firms private placement does non seem to drive their results. The inclusion of owner fixed effect does not electrical shock the qualitative relation between owners portfolio diversification and private firms capital investment (Lyandres, Marchica, Michaely, and Mura, 2015). However, the fixed-effects results may still be affected by self-selection interrupt-d iversified owners may select to invest in companies with high investment rates, which better their risk preferences. Lyandres, Marchica, Michaely, and Mura (2015) suggest the firms capital investment depends on portfolio diversification of their dictatorial owners the effect of owners portfolio diversification on firms investment levels depends crucially on firms financial backwardnesss the investment-diversification relation is positive for relatively un constrained firms and is negatively for relatively constrained ones. Owner fixed-effects, a quasi-natural experiment, and instrumental variable depth psychology suggest that this result is not set by potential endogeneity of owners diversification.A matched-sample analysis, selection model, and an substitute(a) measure of financial constraints show that Lyandres, Marchica, Michaely, and Mura (2015)s findings are overly not driven by the endogeneity of their proxy for financial constraints. The analysis builds on and extends that of Hoesli et al. (2004) but broadens the continuance of the time series and the depth of analysis as they pertain to the real estate portfolio. They concluded that both domestic and international real estate contribute with risk diversification, and then portfolio efficiency, to the multi-asset portfolio and that the data support an allocation to real estate of between 15 and 25%, depending on risk preferences and the investors realm of domicile.The purpose is to investigate how the composition of a real estate portfolio affects the capacity to achieve risk diversification when management costs are taken into account and after removing the assumption that investors can only by a real estate market portfolio. The analysis contributes to the body of knowledge by exploring how the graphic symbol of underlying tenant inquire grapheme affects the portfolio composition occupation for real estate investors and thus how real estate strategies should be make to more effectivel y support overall portfolio objectives.Hoesli and Lizieri (2007) report correlations close to cipher for private real estate in the UK. Lizieri (2013) finds that the correlation of the private real estate varies significantly over the market cycle, tending to increase in periods from 1995 to 2010 of poor stock market surgical operation. Lizieri (2013) finds that the correlations of private real estate with equities and bonds changed in the last five years of the sample from around zero to 0.4 and -0.5 respectively. This would indicate that the diversification benefits from real estate disappear when they are most needed. However, it is too found that when the divergency is decomposed, a high remainder of private real estate variance cannot be explained by wider capital market factors, which indicates actual diversification benefits. Even though data construction issues for private real estate cannot be ruled out, Lizieri (2013) concludes that the results support the diversi fication role of the private real estate.Ang (2012) explores the characteristics of real estate in the context of its real asset characteristics along with real estates role in the asset allocation puzzle. Ang (2012) concludes that real estate is different from other asset classes in several reckon the idiosyncratic risk, the heterogeneity of the assets and requirement to actively mange real estate holdings. Ang (2012) in addition points out the difficulty of including real estate in any asset allocation model on par with stocks and bonds because head up real estate come parrys are not returns in the same sense as are total returns for the other asset classes. This is because real estate total returns are not feat based nor is there a way to measure the solely market. Ang (2012) does not say that real estate has no role to play but rather that the only return derived from real estate measured on the same frequency as the return on mature asset classes is the income return.Div ersification of the Private Real Estate Portfolios with Equity REIT shares An examination of resulting efficient frontiers and their corresponding optimal portfolio weights crosswise different levels of expected return reveals that the ability of public real estate to rebalance and exchange private real estate only portfolios, using either long or short positions, is very much in doubt (Seiler, Webb and Neil Mye, 2001). Private real estate helps reduce the risk of a portfolio because it has less than a perfect correlation with stocks, bonds and all other assets.Qualitative compendium metre Markowitz portfolio selection model assumes jointly normal and symmetric distributions. If that holds, then mean, variance and covariance are sufficient to define effective diversification dodge. Traditional diversification strategies no longer provide desired level of protection in support markets. Portfolio risk and expected look upon fall in bear markets are systematically understated. Tra ditional notions of risk-return trade-off are systematically overstated. habitual portfolio rebalancing needed to maintain target level of risk, leading to higher transaction costs. For example, Stichting Pensioenfonds X Asset Mix is an archetypical private real estate portfolio. 9% seat allocation is reasonable for a well funded and growth scheme if assume under-performs equities and out-performs bonds and adds some diversification. juicyer portfolio diversification reduces the variance of owners portfolio return and its covariance with the firms cash flow. As a result, higher portfolio diversification of firm owner lowers the risk avoidance incentives and leads to increased risk taking by the firm. The direct effect of higher owners portfolio diversification on an unconstrained firms capital investment is through the reduction in the variance of owners wealth and the resulting decrease in his or her risk-avoidance incentives. A more diversified owner is less concerned with hig her cash flow volatility resulting from higher operating leverage, and chooses a higher level of capital investment. The result is a positive relation between owners portfolio diversification and firm investment for unconstrained firms.The mechanism rat the negative relation between a constrained firms investment and its owners portfolio diversification is different. A constrained firm cannot increase its capital investment level in response to an increase in firm owners portfolio diversification, as its investment is determined by the investment capacity constraint. The only channel the constrained firm can use to alter its cash flow volatility is the riskiness of its investments.The scale/diversification of assets depends upon the genuine efficiency from scale, diversification and impact on equity rising and the decrease of the default. The portfolio of loans demands diversification during the debt and reference point crisis. High correlation among portfolios means diversificati on across sectors relatively little impact on risk reduction in UK historically compared to specific risk.The item of portfolio diversification of a firms controlling owner may influence its filling of riskiness of firm strategies. The reason is that an expected-utility-maximizing risk-averse owner takes into account the variance of the private real estates overall wealth when making decisions on behalf of the firm the chief operating officer controls.Drivers of diversification from equitiesDrivers of rentsDemand-GDP, business and financial services, consumer spending, distribution, general price inflation, technology, profitability and other investment sentiment drivers.Supply-Construction, planning, obsolescenceDrivers of yieldsInterest rates/term structure, credit availability, credit sentiment (high grade versus low grade), airscrew sentiment.Other factorsTax/ semipolitical risks, property specific (e.g. lease structures)The earlier studies revealed real estate, with all its illiquidity, management intensity and information asymmetry, does exhibit characteristics that complement the multi-asset portfolio by contributing diversification (Lekander, 2015). But the findings go further to suggest that diversification objectives in low-risk overall strategies are best achieved via types of real estate in which the tenant demand is less affected by global factors, whereas diversification strategies for higher overall risk strategies are best supported by real estate strategies focusing on globally dependent real estate (Lekander, 2015).When be for the cost of liquidity, by defining the market value as the mean of the buyer reservation price distribution, a different return chassis emerges. This has implications on the correlation characteristics of real estate, reducing the real estates diversification potential. A similar bias affects investment indices through the population of transactions useable to the appraiser to determine price evidence. As such(pren ominal), there is a risk that the return indices measuring private real estate mathematical operation are based on market evidence that suffers from selection bias and appraisal smoothing, thus skewing the characteristics of the private real estate returns.A form experiment of the superiority of frugal-based diversification strategies for real estate portfolio diversification was undertaken by Mueller (1992). Mueller (1992) showed that a diversification strategy based on his own classification, which relies solely on sparing base, provided even greater risk-adjusted return possibilities.Data and Quantitative AnalysisModelThe estimates produced and updated are based on a two-quadrant approach aspect at private real estate (holdings of funds and other private investors) and private real estate debt (lending by banks and other institutions). I consider a situation in which a firms controlling owner is authorize to a proportion of the firms cash flow. In addition, the firms owner is endowed with sign wealth x outside of the controlled firm, which is invested in an flawedly diversified portfolio with a normally distributed return, whose mean is and whose standard deviation is . Our model abstracts from the reasons for imperfect diversification of the firms owner, which is a feature consistent with the data. The focus is on the effects of imperfect diversification of owners portfolios on controlled firms investment strategies.I assume that the firms controlling owner is risk-averse and that the CEO maximizes the expected utility of his or her terminal wealth, . This utility is give by,where is the firm owners Arrow-Pratt coefficient of absolute risk aversion. Assuming that the firms cash flow (discussed below) is normally distributed, investors expected utility maximization simplifies into the mean-variance criterion.The model shows that in govern to understand the impact of firm owners portfolio diversification on firms investment strategies, it is cru cial to consider simultaneous choices of both the level and riskiness of firms investments. The analysis focuses on the relation between owners portfolio diversification and firms investment level, extends and complements the existing literature that focuses on the riskiness of firms investment. The interaction between these two decisions results in a non-trivial and somewhat surprising relation between owners portfolio diversification and the level of her or his firms capital investment.Comparative staticsLemma 1 If the investment capacity constraint is not binding in equilibrium, then the firms equilibrium level of capital investment and its riskiness, and respectively, are wedded by the hobby system of equations, discipline to .I am affaired in the effects of controlling owners portfolio diversification on the choice of the level and riskiness of capital investment of constrained and unconstrained firms. In what follows, we present comparative statics of the firms investment level and its riskiness with respect to the standard deviation of the owners portfolio, . I also graphically exposit these comparative statics using the numerical example to help explain the intuition. all told differentiating the unconstrained equilibrium conditions in (3) and (4) with respect to owners portfolio standard deviation produces the following resultProposition 1 For a firm whose capital investment is unconstrained in equilibrium, , equilibrium level of capital investment and its riskiness, and respectively, are decreasing in the standard deviation of firm owners portfolio, .The owners objective federal agency issubject to Maximizing the owners expected utility in (5) with respect to , age assuming that the investment capacity is binding, i.e., that , leads to the following resultLemma 2 If the investment capacity constraint is binding, , then the firms equilibrium riskiness of investment, , is given by the following equationData The UK data are from the Investors register Hillier Parker (ICHP) Index and comprise 32 semi-annual observations from 1977 to 1993. The UK data are on hand(predicate) dismass by trey property types (offices industrial and retail) and by 11 localitys (London, southeastward East, South West, East Anglia, East Midlands, West Midlands, Wales, Yorkshire and Humberside, North, North West, Scotland). The data exclude obtain centres, mixed use buildings, and business space. Data for the U.K. 11 regions were also aggregated to produce three super regions as suggested by Key et al. (1994). These regions are London, South and North.Quantitative Analysis ResultsThe estimated correlation matrices for the three UK property types and three UK regions are shown in add-in I and II. As the act of regions differs from the number of property types, there is no test for the UK 11 region data comparable with the one undertaken supra. It is, nonetheless, informative to analyse this data. This is done by conniving the correlations between all market segments, in which a market segment is defined as one property type in one region. The full matrix is given in submit III.In the UK it is a conventional wisdom that retail property offers least scope for regional diversification retail sales tend not to flip strong regional differences and the supply response of the retail property market does not differ significantly across regions. In contrast, in the office market, as the London market is driven by the financial sector has a strong international dimension opportunities should exist for regional diversification within the office market.Table I. UK correlations based on semi-annual returns for 11 regions and three property types (1977-1993)In conclusion, the results show that the scope for diversification within a region varies from region to region and is greatest the further from London, while the diversification within property type is generally limited but is better for office and industrial property. Ret ail property is poorly correlated with either industrial or offices. Thus, full diversification by both property type and region is to be preferred.Table II Insignificant correlations between market segments by property type, based on semi-annual returns, UK, 1977-1993IPD/MSCI Data to Explore the Most Important Characteristics of Diversification in Private Real EstateMSCI IPD is the only global provided of appraisal-based total return indices for private real estate across a number of different geographical markets. In this subsection, we look at the main factors affecting the performance of financial investments, i.e. economic growth, inflation and interest rates. These are the most important characteristics in driving differences in performance across the private real estate market over the then(prenominal) few decades. Also, the impact of these factors is partially overlaid with endogenous dynamics of real estate markets resulting from lagged responses of supply and demand. This subsection mainly suggests a specific real estate factor may exist that drives real estate returns but is not common with the drivers of equities or bonds, indicating the existence of long-term diversification benefits of private real estate.Table III Comparison of key statistics for selected total return indices in the UKUK (1990-2014, monthly)Average returnStandard deviationSharpe ratioPrivate RE (smoothed)7.46%3.76%0.69Private RE (unsmoothed)7.46%7.49%0.37Private Re (trans.-based)10.39%8.84%0.06Source IPD and EPRA. IPD data available since 1987 but presented since 1990 to align with other indices. Sharpe ratio calculated relative to three-month T-bills.Table IV Overview of average annual returns and volatilities for selected international private real estate indicesTable IV summarizes the risk-return statistics of the IPD and NCREIF indices across a number of countries. Whilst we are aware(p) that the statistical significance of comparisons based on only few observations is low , it is large that the UK market is among the most volatile ones. The broad market opinion that the UK real estate market observes tends to see stronger cyclical movements. On the other hand, the UK private real estate market offers higher liquidity and market depth.Changes in the levels and volatility of returns from commercial real estate investments in the UK over a rolling ten-year view is presented in Figure 1.Figure 1 paradiddle ten-year average returns and return volatilities in the UKThe risk-return profile of the UK market shows a politics shift following the financial crisis. Also, for the UK, unsmoothed real estate indices show Sharpe ratios comparable or slightly above the levels measured for equity and bond indices. However, one needs to consider that risk-return profiles may not be changeless over time. Also, the risk-return profiles of investments may be different for long-term investors, although there is no conclusive evidence that the reduction of the effective volatility should be higher for real estate than for other types of assets. However, the fact that a high proportion of the return is derived from income may indeed favor real estate in the long term.Real estate factorThe existence of a specific real estate factor is highly relevant for the construction of investment portfolios based on fundamental factors. Recent research supports the existence of such a factor for commercial private real estate. In order to verify the existence of a real estate factor, I ran a factor analysis for the UK following the reasoning of Mei and Lee (1994). periodical data were used in the UK. A higher absolute value for a fill up means that the factor has a higher impact, positive or negative, on the returns of the index, while a value close to zero indicates no significant impact.Table 5 agentive role loading of stocks, bonds and utility(a) real estate index returnsSource my own calculations.The highest absolute loading for each index has been high lighted in bold in Table 5. small-arm the levels of the loadings are not directly interpretable, the regularity in their relative determine is striking. operator F1 loads highly on stock market indices and on pubic real estate indices. In fact, it appears to represent mainly listed real estate, while pure stock indices are also influenced by F3. Factor F2 loads very highly on all private real estate indices, both smoothed and unsmoothed, as well as transaction-based indices. Factor F3 loads most strongly on bond indices and to a lower extent on stock indices. It appears justified to label F1 as a stock market factor and F2 as a real estate factor, while F3 could be associated with monetary factors such as interest rates. The above results represent a strong indication that the factor that drives direct real estate returns may indeed differ from the one that drives the returns of equities or bonds. plot of land it is impossible to conclude on the basis of this analysis what parti cular risks or drivers this factor might reflect, they seem to be different to the risks and drivers behind the equities or fixed income, which should create diversification potential.ConclusionThe sections above have provided a critical appraisal of the literature on diversification within private real estate portfolios. For the UK, the opposite result was obtained for retail property and diversification across both property types and regions was to be preferred for the other two property types.The results offer some insights into real estate performance and may offer some input into the determination of a diversification ion strategy for a real estate portfolio. There are two major qualifications on the results. The first is that they are historical results and they may not be a good proxy for the future correlations. Historical returns are supposed(prenominal) to be a good proxy for future returns and that probably also holds for the correlations calculated between real estate c ategories. The second qualification is that investors have objectives, which are more complex than just the trade-off between the level of period return and volatility of period return.Behind the analysis of regional economic base is the reasonable presumption that similarity in economic structure and performance should lead to similarity in real estate performance. However, such analyses, which focus on demand proxies, ignore supply or, at best, assume no differences in supply responses across property type or region. Testing the economic base ideas with highly disaggregated returns data is therefore very important. The UK data allow comparisons of the economic similarity of regions and the similarity of property performance. It would then be possible to infer from the UK results whether the proxying of real estate performance with economic performance is valid and perhaps at what spatial scale.Table III Real Estate Portfolio DiversificationReferencesAmihud, Y. and Lev, B., 1981. R isk reduction as a managerial motive for conglomerate mergers. The bell journal of economics, pp.605-617.Ang, A., 2012. RealAssets. capital of South Carolina Business School Research Paper No. 12-60.Faccio, M., Marchica, M.T. and Mura, R., 2011. Large stockholder diversification and corporate risk-taking. Review of Financial Studies, 24(11), pp.3601-3641.Firstenberg, P.M., Ross, S.A. and Zisler, R.C., 1988. Real estate the whole story. The Journal ofPortfolio Management, 14(3), pp.22-34.Gormley, T.A., Matsa, D.A. and Milbourn, T., 2013. CEO compensation and corporate risk examine from a natural experiment. Journal of Accounting and Economics, 56(2), pp.79-101.Hoesli, M., Lekander, J. and Witkiewicz, W., 2004. International evidence on real estate as a portfolio diversifier. Journal of Real Estate Research, 26(2), pp.161-206.Hoesli, M. and Lizieri, C., 2007. Real estate in the investment portfolio. A report for the Investment dodge Council of the Royal Ministry of Finance.Key, T., Z arkesh, F., MacGregor, B. and Nanthakumaran, N., 1994. Understanding the property cycle. Main report Economic cycles and property cycles. London RICS.Lekander, J.R., 2015. Real estate portfolio construction for a multi-asset portfolio. Journal ofProperty Investment Finance, 33(6), pp.548-573.Lizieri, C., 2013. After the fall Real estate in the mixed-asset portfolio in the slipstream of the global financial crisis. The Journal of Portfolio Management, 39(5), pp.43-59.Lyandres, E., Marchica, M.T., Michaely, R. and Mura, R., 2015. Owners Portfolio Diversification and Firm Investment Evidence from Private and Public Firms.Mueller, G. and Ziering, B., 1992. Real estate portfolio diversification using economic diversification. Journal of Real Estate Research, 7(4), pp.375-386.Seiler, M., Webb, J. and Neil Mye, F., 2001. Can private real estate portfolios be rebalanced/diversified using equity REIT shares?. 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