Privately Versus Publicly Held Asset Investment Performance

Classic asset pricing is problematic as a method to assess privately held asset investment performance. We propose an alternative approach that involves adjusting the characteristics of assets constituting an index or portfolio to match the asset characteristics of a reference index or portfolio. This approach is applied to commercial real estate, where we create an index of REIT returns to compare to the NCREIF index. To enhance comparability, return indices are adjusted for partial-year financial data, leverage, asset mix and fees. Adjusted results over a 1980–1998 sample period show general convergence between the indices, although an annual return difference of over three percentage points remains in favor of public market asset ownership. Possible causes of the investment performance gap include liquidity and geography as missing risk factor adjustments, an unrepresentative sample period, and the form in which commercial real estate assets are held.     

The Value of Liquidity

In this study, we examine the relationship between the liquidity of equity and its market value. We find that creating liquid equity claims on relatively illiquid property assets increases value by 12–22%. However, the fixed costs associated with creating these claims offset these liquidity gains for pools of assets below $100 million. We also estimate that the liquidity of individual properties adds 16% to their value relative to a notional nontradable property asset. Managers can enhance the liquidity of equity and, therefore, the benefits of securitization by increasing size, focus, and institutional ownership.     

Linear programming for bank portfolio management in Singapore

James Tobin's portfolio theory can be applied to bank portfolio management in that a bank would maximise the rates of return of its portfolio of assets, subject to the expected degree of risk and liquidity. Chambers and Charnes (1961), Cohen and Hammer (1967), Booth and Dash (1979) and others apply the linear programming model to the management of bank funds. This paper carries out a linear programming analysis on the consolidated balance sheets of commercial banks in Singapore for the period 1978–1983. The results show that by and large banks do try to maximise the returns of their portfolio, subject to legal, policy, bounding and total asset constraints, which denote riskiness and liquidity of the portfolio of assets. In a direct way, banks conform to the portfolio choice theory; they have to balance yield and liquidity against security. Although the computer cannot replace a manager, linear programming can serve as a useful guide.Dr Lee Sheng-Yi is an Associate Professor (retired) in the National University of Singapore and a Visiting Senior Research Fellow in Chung Hua Institution for Economic Research, Taipei; and Dr Yeong Wee Yong is a Senior Lecturer, School of Management Faculty of Business Administration, National University of Singapore.     

Optimal Valuation of Noisy Real Assets

We study the optimal valuation of real assets when true asset values are unobservable. In our model, the observed value cointegrates with the unobserved true asset value to cause serial correlation in the time series of observed values. Autocorrelation as well as total variance in the observed value are used to calculate an efficient unbiased estimate of the true asset value (the time–filtered value). The optimal value estimate is shown to have three time–weighted terms: a deterministic forward value, a comparison of observed values with previously determined time–filtered values, and a convexity correction for incomplete information. The residual variance measures the precision of the value estimate, which can increase or decrease monotonically over time as well as display a linear or nonlinear time trend. We also show how to revise time–filtered estimates based on the arrival of new information. Our results relate to work on illiquid asset markets, including appraisal smoothing, tests of market efficiency, and the valuation of options on real assets.     

The Geography of Real Property Information and Investment: Firm Location,Asset Location and Institutional Ownership

Using a sample of Real Estate Investment Trusts (REITs), we show that institutional investors exploit location‐based information asymmetries by overweighting firms headquartered locally and those with greater economic interests in the investor's home metropolitan statistical area (MSA). This asset allocation strategy is associated with superior portfolio performance. In a difference‐in‐difference‐in‐differences analysis of investor headquarters relocations, we find that investors tend to increase their ownership of REITs that have property holdings in the market to which the investor relocates. Our findings highlight the importance of understanding the relation between information advantages and the geography of firm's operations, as well as the implications on ownership patterns and portfolio construction.     

Real Estate Fund Openings and Cannibalization

This article examines the trade‐offs in launching new real estate funds, specifically open‐end, direct‐property funds. This investment vehicle, which is designed to provide the risk‐return benefits of private market real estate, is available to retail investors in a number of countries. At the same time, these funds are also subject to liquidity risk, because they hold an inherently illiquid asset in an open‐end structure. This format presents fund‐family managers with unique challenges, particularly with the decision to open new funds. The data consist of 2,127 German fund openings across 76 fund families in 12 asset classes over the 1992–2010 period. Including a wide range of asset classes allows for a comparison between real estate and other investment objectives. We find a substantial cannibalization effect across the existing real estate funds of a family, while we note the opposite effect—i.e., flows into existing funds increase following a fund opening within the same objective—for all other asset classes. Our analysis of fund opening determinants shows that inflows mitigate the cannibalization risk for new real estate funds. Additional evidence highlights the role of scale and scope economies in real estate fund openings. Overall, the results provide new insights into the relatively large size and small number of real estate funds when compared to mutual funds dedicated to other investment objectives.     

Contagion Channels between Real Estate and Financial Markets

The recent crisis has demonstrated the linkages between asset classes within a country as well as the association between assets internationally. We provide for a better understanding of some of these linkages by conducting an empirical investigation of the channels underlying the risk of contagion between real estate investment trusts (REITs) and stocks in the United States. We test for three financial mechanisms potentially driving contagion. A behavioral dimension in the crisis propagation is also examined by considering investor sentiment and panic risk. We find that contagion prevails between REITs and stocks and that this phenomenon is driven by behavioral and liquidity mechanisms.     

居民家庭金融资产组合集成风险的测量与波动分析

居民家庭金融资产在不同时期风险的聚集可能会引发宏观金融风险, 甚至导致金融危机。 因此, 文章试图测算家庭金融资产组合风险并描述其变动特点。 首先构建家庭金融资产组合的 Copula 函数, 然后计算其VaR 值, 并比较分析 VaR 值与各金融资产收益的变动关系 , 发现当金融资产中高风险资产的收益低于 VaR 值下限时, 家庭金融资产风险不断积聚并达到高点, 而这个过程与金融危机发生的时间相契合。 家庭金融资产组合风险和资产中的风险资产收益会影响未来的利率和 CPI 的变化。     

Crypto-assets portfolio optimization under the omega measure

Abstract

Crypto-currencies, or crypto-assets, represent a new class of investment assets. The traditional portfolio analysis approach of Markowitz is not appropriate for use with portfolios containing crypto-assets, as the model requires that the investor have a quadratic utility function or that the returns be normally distributed, which isn’t the case for crypto-assets. We develop a portfolio optimization model based on the Omega measure which is more comprehensive than the Markowitz model, and apply this to four crypto-asset investment portfolios by means of a numerical application. The results indicate that these portfolios should favor traditional market assets over crypto-assets. In the case of portfolios formed only by crypto-assets, there is no clear preference in favor of any crypto-asset in particular.     

An Intertemporal Capital Asset Pricing Model with Owner‐Occupied Housing

This article studies portfolio choice and asset pricing in the presence of owner‐occupied housing in a continuous time framework. The unique feature of the model is that housing is a consumption good as well as a risky asset. Under general conditions, that is, when the utility function is not Cobb–Douglas and the covariance matrix is not block‐diagonal, the model shows that the market portfolio is not mean‐variance efficient, and the traditional capital asset pricing model fails. Nonetheless, a conditional linear factor pricing model holds with housing return and market portfolio return as two risk factors. The model also predicts that the nondurable consumption‐to‐housing ratio (ch) can forecast financial asset returns. The two factor pricing model conditioning on ch yields a good cross‐sectional fit for Fama–French 25 portfolios.     

The Substitutability of Real Estate Assets

This paper investigates the degree of substitutability between securitized real estate assets and real estate assets whose prices are appraisal-based. Given the insensitivity of unsecuritized asset's returns to the returns on stock market indices, equilibrium asset pricing models cannot be used to compare these two avenues of investment. Two assets are deemed substitutable if the information sets underlying unbiased, minimum error variance estimates of their pricing parameters are identical. The empirical evidence shows that the prices of the transactions-based assets—real estate investment trusts and the stock price index of the home building industry—follow a random walk while the prices of the appraisal-based assets—FRC/NCREIF indices—do not. The variance decompositions of the vector autoregressions also show that the level of economic activity helps predict the price indices of appraisal-based assets while the stock market index and the term structure of interest rates are better predictors of the prices of transactions-based assets     

Savings and Loan Demand for Liquid Assets: Theory,Evidence and Implications for Policy*

In this study a model of liquid asset management for individual savings and loan associations is developed. The model combines features of portfolio theory and inventory theory and is used to draw hypotheses on the relationship between the demand for excess liquidity and a variety of independent variables. Pooled cross section-time series equations are estimated for the demand for excess liquidity of 198 S & Ls over the period 1974–1978. In addition to conclusions on the role of individual variables, the estimated equations reveal that the FHLBB can affect the portfolios of some, but not all, S & Ls. This implies that FHLBB liquidity policy can have an effect on the mortgage market.     

流动性在组合投资管理中的认识

在传统的均值-方差模型中,“市场流动性是充分的”假设使投资者忽略了流动性在组合投资管理中的重要性。流动性作为金融资产的三大属性之一,体现并作用于组合投资管理整个过程中。本文从流动性的内涵、流动性的股票交易特征、流动性与均值-方差模型的结合及行业流动性对组合投资的影响等角度探讨了流动性在组合投资管理中的作用,将组合投资的思维从二维空间拓展至三维空间,丰富了现代资产组合选择理论。     

银行系金融租赁：扩张、风险与对策

首批银行系金融租赁公司的资产规模高速扩张，对经济增长的促进作用进一步显现。然而，高速扩张的银行系金融租赁公司在经营理念、市场定位、行业集中度、资产浦动性、租赁模式等方面存在的风险隐患值得关注。排除风险隐患，引导融资租赁行业可持续发展，银行系金融租赁公司的经营理念要由资金引导型向物权引导型转换，市场定位要向节能减排和中小企业倾斜，行业选择要走差异化发展道路，要把握租赁资产出/入口提高资产流动性，同时还要创新租赁结构实现租赁模式多样化。     

Institutional Investors' Preferences for REIT Stocks

This article investigates the determinants of real estate investment trusts (REIT) portfolio investment and institutional REIT ownership using multivariate Tobit regressions. We contend that many institutional investors take larger positions in more liquid assets like REIT stocks, as compared with private real estate equities, because of liquidity considerations. Consistent with this contention, we find that liquidity constraints are significantly related to REIT portfolio investment by institutional investors. We also find that institutional investors have different preferences for REIT stocks than do other investors; they generally prefer larger, more liquid REIT stocks.     

Efficient versus Responsive Supply Chain Choice: An Empirical Examination of Influential Factors

Contemporary strategies in operations management suggest that successful firms align supply chain assets with product demand characteristics in order to exploit the profit potential of product lines fully. However, observation suggests that supply chain assets often are longer lived than product line decisions. This suggests that alignment between supply chain assets and demand characteristics is most likely to occur at the time of initial market entry. This article examines the association between product demand characteristics and the initial investment in a supply chain at the time of market entry. We characterize supply chains as responsive or efficient. A responsive supply chain is distinguished by short production lead‐times, low set‐up costs, and small batch sizes that allow the responsive firm to adapt quickly to market demand, but often at a higher unit cost. An efficient supply chain is distinguished by longer production lead‐times, high set‐up costs, and larger batch sizes that allow the efficient firm to produce at a low unit cost, but often at the expense of market responsiveness. We hypothesize that a firm's choice of responsive supply chain will be associated with lower industry growth rates, higher contribution margins, higher product variety, and higher demand or technological uncertainty. We further hypothesize that interactions among these variables either can reinforce or can temper the main effects. We report that lower industry growth rates are associated with responsive market entry, but this effect is offset if growth occurs during periods of high variety and high demand uncertainty. We report that higher contribution margins are associated with responsive market entry and that this effect is more pronounced when occurring with periods of high variety. Finally, we report that responsive market entry also is correlated positively with higher technological demand uncertainty. These results are found using data from the North American mountain bike industry.     

Discount Brokerage in Residential Real Estate Markets

Transaction costs are thought to affect asset prices and market liquidity, but the direction and magnitude of these effects continue to be the subject of debate. In the single‐family residential market, discount brokers offer to list a house for a lower price and thus reduce the transaction costs associated with obtaining a match. In this article we obtain empirical estimates of the price and liquidity impact of a seller selecting a discount broker to market a single‐family residential property. The unique data set allows for the identification of residential properties that were listed by a discount brokerage firm. The empirical results confirm the predictions of our theoretical model. Using a sample of 318,221 listings and 243,625 sales, we find that houses listed by discount brokers sell at prices similar to non‐discount brokerage listings, but are less likely to sell, and when they do sell, take approximately three days longer to sell. The results indicate that lower transaction costs do not impact housing prices in this market, but that they are related to asset liquidity.     

The Performance of Commercial Mortgages

This study examines the return characteristics of a large, well-diversified commercial mortgage portfolio. Mortgage-specific cash-flow histories are constructed for 2,480 loans originated over the period 1974 through 1990, and a contingent-claims approach to pricing risky debt is used to estimate inter-temporal market values. Quarterly holding-period returns are compared across selected mortgage groups and to alternate asset classes. Our findings suggest that both mortgage returns and volatility of return are comparable to those of other forms of fixed-income assets over the study period. Implied property price volatility is found to average 17%, a result significantly higher than reported in earlier studies. While mortgage returns are found to vary by property type and region of origin, cross correlation of returns is found to be high, illustrating the systematic effect of interest rates on the performance of commercial mortgages over the period 1974 through 1990. However, an increase in credit risk in the latter years of the study suggests that diversification may be a worthwhile objective for holders of these assets. We do not find evidence to suggest that abnormal returns were earned on commercial mortgage portfolios over the study period.     

Unpacking functional alliance portfolios: How signals of viability affect young firms' outcomes

This article investigates how alliance portfolio composition affects young firms' outcomes. Drawing on signaling theory, we propose how alliance portfolio composition—number, functional domains (R&D, manufacturing, and marketing), and single‐purpose or multi‐purpose nature of alliances within the portfolio—may affect a firm's likelihood of achieving a liquidity event (IPO or acquisition). We study 8,600 U.S.‐based, VC‐backed firms during the period of 1990 to 2002 from 10 industry sectors. We find that alliance portfolios (to a certain extent) increase a firm's liquidity event likelihood. Further, firms with heterogeneous alliance portfolios, including portfolios emitting greater efficiency signals versus endorsement signals, are more likely to experience an IPO versus acquisition. Our findings lend support to the value of multi‐function alliances within portfolios. Copyright © 2013 John Wiley & Sons, Ltd.     

The Composition of the Market Portfolio and Real Estate Investment Performance

This study investigates whether the composition of the market portfolio leads to different inferences on real estate performance. As a point of departure, this paper first explores whether the omission of assets in a market proxy leads to a biased measurement of investment performance. The study finds that ranking investment performance is not meaningless even though investment performance is inaccurately measured. Furthermore, the composition of the market proxy does not necessarily lead to different inferences on real estate investment performance although superior real estate investment performance arises from the omitted asset phenomenon and also from smoothing bias in general.