Residential Real Estate Brokerage Efficiency from a Cost and Profit Perspective

Using 1994–1995 microeconomic data from the National Association of Realtors (NAR), this article estimates cost and profit X-efficiency levels in the residential real estate brokerage market using traditional and Bayesian stochastic frontier models. We find that firms err more from failure to maximize profits than from failure to minimize costs. To determine what characteristics influence efficiency, we perform a regression analysis. The results show that franchising and firm age are associated with increases in efficiency, while MLS affiliation and producing a balanced output of listings and sales decrease performance. Finally, we estimate economies of scale and find compelling evidence that firms are operating at increasing returns to scale.     

Franchising and real estate brokerage

This paper examines the value of franchise affiliation to real estate brokerage firms. It uses a national sample to estimate models of brokerage firm sales and revenues. The results suggest that franchisees sell more properties than nonaffiliates, but that the average franchise sale results in less revenue. The net benefit of franchise affiliation is a 9.0 percent increase in net revenue to the average firm. We compare the initial cost of affiliation with the benefits and find that the up-front fees charged by franchisors are substantially lower than the present value of the stream of incremental profits generated by franchise affiliation.     

Sorting,Franchising and Real Estate Brokerage Firms

Real estate markets remain localized and reflect differences by region. With a large number of brokerage firms and a smaller number of franchisors, a testable hypothesis is whether in equilibrium fees and royalties are equal to the additional return to the franchisee. If fees are set uniformly across the country, economic rents may be earned in specific local markets. Some franchisees may earn excess profits from the franchise arrangement. Empirical results for 1,143 United States residential brokerage firms in 2001 show standardized uniform franchising costs cover any added returns to franchises in the Midwest and South. Excess returns are present for franchisees in the Northeast. The probability of being a franchisee increases with size and scale.     

新常态下中国货币政策的宏观经济效应研究 ——基于不同中介目标的实证检验

以中国2003-2020年的季度宏观经济数据为样本,通过构建时变系数向量自回归模型分析银行间同业拆借利率、M2、信贷规模、社会融资规模四项货币政策中介目标对实际产出、通货膨胀、房地产市场以及股票市场的动态影响效应.结果表明:同业拆借利率对产出的影响呈增强趋势,M2、信贷以及社会融资规模等数量型货币政策对产出的影响效应更显著;信贷与社会融资规模对通货膨胀的影响效应较显著;同业拆借利率对房地产市场的短期影响效应较大;M2、信贷与社会融资规模对房地产与股票市场的长期影响效应较大.     

Real Estate Ownership, Leasing Intensity, and Value: Do Stock Returns Reflect a Firm’s Real Estate Holdings?

Little is known about the effects of real estate ownership and leasing on the stock return characteristics of public firms. In this study, we first examine the sensitivity of retail firm returns to a real estate factor over the period 1998?C2008. The retail industry is chosen because of the significant use of real estate in a typical retail firm??s production function. Consistent with our expectations, retail stocks exhibit positive real estate risk exposure, even after controlling for sensitivity to general market risk as well as other standard risk factors. The second part of our analysis examines whether the intensity of real estate ownership and the use of off-balance operating leases to finance real property holdings are reflected in the market and real estate betas of retail stocks. We find that greater use of off-balance sheet operating leases is associated with higher market betas. In fact, the use of operating leases appears to have a larger impact on sensitivity to market risk than does the use of on-balance sheet debt. Our findings also confirm our hypothesis that real estate intensive firms display significantly greater exposure to a real estate factor. Moreover, our results strongly suggest that investors are fully aware of the risk associated with off-balance sheet operating leases.     

Does Joint Bidding Reduce Competition? Evidence from Hong Kong Land Auctions

This paper analyses firms’ bidding behavior in auctions for development land in Hong Kong. The real estate market in Hong Kong is considered to be oligopolistic as it is dominated by a few top real estate firms, which have strong financial strength/development capacity and large land banks. Joint bidding is used by other real estate firms (“large” firms) to pool resources/capital in order to compete with the top firms. We test whether joint bidding increases or decreases the level of competition in land auctions, using land auction data in Hong Kong from 1991 to 2011. We find that large real estate firms are more likely to be successful than top firms at auctions when bidding jointly. However, joint bidding/winning does not harm competition as reflected by the number of bids, bids per bidder and number of bidders. Land prices also increase significantly in auctions won by joint bidders or alliances of large developers. Our results suggest that joint bidding enhances competition by allowing large firms to act strategically by pooling their resources and act aggressively to compete with the top firms.

     

The sensitivity of bank stock returns to real estate

According to the Federal Reserve Board, banking firms have recently been shifting significantly larger portions of their loan portfolios into real estate. This increase in real estate lending has caused concern about the continuing economic health of banks on the part of state and federal regulators, since changes in real estate returns, evidenced by changes in property value, can potentially have a significant impact on bank default risk and profit-ability. However, concerned parties do not seem to have explicitly considered the relationship between mortgage default risk and the specific characteristics of real estate investments.This study examines the sensitivities of stock returns for different bank groups, based on the percentage of total loans in real estate and the percentage of loans in five different mortgage categories (construction and development loans, farmland loans, one- to four-family residential loans, multifamily residential loans, and nonresidential and nonfarm loans), to changes in real estate market returns. This is done by developing and using a three-index model.The results of this study indicate that bank stocks, overall, are very sensitive to changes in real estae returns. Banks, with a larger portion of their total loans invested in all types of real estate loans, except farmland loans, are most sensitive to changes in real estate returns.     

The costs of free entry: an empirical study of real estate agents in Greater Boston

This article studies the consequences of fixed commissions and low entry barriers in Greater Boston's real estate brokerage industry from 1998–2007. We find that agent entry reduces average service quality and use a dynamic empirical model to study the inefficiency in the current market structure. To accommodate a large state space, we approximate the value function using sieves and impose the Bellman equation as an equilibrium constraint. Our results suggest that a 50% cut in commissions would result in 40% fewer agents, social savings that amount to 23% of industry revenue, and 73% more transactions for the average agent.     

Technology and Realtor® Income

The ever-expanding use of the Internet and various other information technologies may directly impact the income levels of the real estate brokerage community. With a database of more than 6,000 usable observations from the 1999 National Association of Realtors® member profile, we examine the impact of technology usage on the incomes of Realtors®. In a two-step procedure, we first develop factor loadings, using factor analysis, for multifaceted technology usage by Realtors®. Then we perform a regression analysis of Realtors® income incorporating a variety of independent variables representing licensee (brokers and salespersons) demographics and brokerage firm characteristics as well as the factor score for technology usage. Our results show that the use of the Internet and other information technologies is positively related to the earnings of Realtors®. In a second regression analysis, we use our technology factor score to determine which of a variety of individual Realtor® demographic and brokerage firm characteristics are more related to technology usage than other characteristics. We find that technology usage increases with schooling, number of firms for which the agent has worked, marriage, franchise affiliation, firm size, ownership interest, and hours worked. By contrast, technology usage falls with age, and usage is lower for females and nonwhites. The results of this paper expand our knowledge concerning familiarity with and use of real estate technology and related income.     

Paying for a Name? Comparing the Performance of Franchised Real Estate Brokerage Firms

The Journal of Real Estate Finance and Economics - This paper compares the relative performance of franchised and independent real estate brokerage firms. One problem that arises when comparing the...     

Cross-listing and liquidity in emerging market stocks

In this study, we analyze liquidity costs for stocks and ADRs from the four main Latin American markets. The results indicate that international investors are exposed to different trading costs in Latin America, with market location and firm size as important determinants. In the local market, stocks that cross-list internationally do not always present a liquidity cost advantage relative to non-cross-listed stocks. When the ADR and the local stock markets are compared, large firms present lower trading costs in the home market. The opposite occurs for small firms.     

On the relationship between the number of a broker’s real estate listings and transaction outcomes

This paper documents that sellers who employ brokerage offices that list a large number of properties (“active brokerages”) obtain higher selling prices, smaller negotiated discounts from the corresponding list prices, and shorter times on the market for their listed properties. Sellers who employ active brokerages list their properties at prices that are closer to our hedonic model’s predicted prices. Interestingly, properties that are listed at discounts relative to their predicted prices are snapped up more quickly only if they are associated with brokerages that list a relatively small number of properties. In addition, properties listed by active brokerages are less likely to be listed “as is” and are more likely to have their defects repaired prior to being listed. Moreover, because the efficacy of brokerage services varies across brokerage offices, the results also suggest that the use of an indicator variable for the use of brokerage services is not sufficient to capture the complete impact of the use of a real estate broker on transaction outcomes. In addition, the Appendix discusses the concern for potential endogeneities between the number of brokerage listings and transaction outcomes. It documents that the Durban–Wu–Hausman test indicates that exogeneity cannot be rejected.     

Corporate real estate's impact on the takeover market

This article explores the issues and problems associated with corporate real estate ownership as viewed through the takeover market. The perception held by managers is that corporate real estate assets are unique, specialized assets. This perception conflicts with financial theory which states that the market values all corporate assets based only on their expected future cash flows. Thus corporate real estate assets are priced according to their cash flows and are like other corporate assets. This study tests the hypothesis that corporate real estate is a specialized asset by examining the impact real estate assets have on the takeover market. The study uses a logit regression model in order to attempt to predict which firms become takeover targets. If corporate real estate in general is a specialized asset, then real estate is expected to be an important variable in predicting takeover targets. Although the logit model has little predictive accuracy, results from the prediction model suggest that corporate real estate plays a significant part in determining the likelihood of a firm's becoming a takeover target. The greater the real estate holdings, the greater the likelihood of a firm's becoming a takeover target.     

Macroeconomic control, political costs and earnings management: Evidence from Chinese listed real estate companies

Firms in China have faced high political costs during China’s economic transition, because they are affected by macroeconomic policies. However, research to date has offered no consistent conclusions on the relationship between political costs and earnings management in China. This study tests whether real estate firms attempt to decrease earnings during periods of macroeconomic control, using variables related to the national real estate market as proxies for political costs. We find that political costs are negatively related to earnings management in listed real estate firms. In addition, we find that non-state-owned enterprises utilized more income-decreasing accruals during this period. Our results are consistent with the political costs hypothesis.     

Determinants of Foreign Versus Domestic Real Estate Investment: Property Level Evidence from Listed Real Estate Investment Firms

We examine the determinants of foreign real estate investment relative to the domestic case using the portfolios of a large sample of publicly traded real estate investment companies; where foreign investment is defined as the property owner headquarters being located in a different country than a given asset. The cross-sectional results provide strong evidence that real estate firms are more likely to take a smaller stake in larger assets when investing abroad. The penchant for large assets holds when controlling for economic activity, real estate investment opportunities, depth and sophistication of the capital markets, investor protection and the legal framework, administrative burdens and regulatory limitations, and the socio-cultural and political environment at both the property nation and headquarter nation levels. In general, foreign ownership is less likely with industrial, office, retail, and self-storage properties. Capital market development is consistently negatively related to foreign investment.     

产业集聚对中国房地产价格影响的实证研究

中国房地产价格持续上涨的成因一直是学界研究的热点。产业集聚作为市场经济活动的必然现象,是否会对房地产价格产生影响?以中国35个大中城市2000~2016年的数据为样本,构建静态面板模型和动态面板模型实证检验产业集聚对房地产价格的影响。研究表明,产业集聚对房地产价格具有显著的正向影响;进一步研究发现,人口集聚和土地成本是产业集聚影响房地产价格的重要中介,即产业集聚能够通过人口集聚和土地价格上涨来推动房价上涨。基于研究结论,为保证我国房地产市场健康发展,应采取促进区域均衡协调发展、多渠道保障城市新流入人口住房和加快土地市场改革等政策措施。     

Size effects and economies of scale in European real estate companies

This study investigates scale economies in European real estate companies. We examine the effects of size on revenue, expense, profitability ratios and capital costs using panel data regression. We find that larger real estate companies in Europe are able to generate higher revenue per unit of company size, incur lower costs and produce higher returns. Net Operating Income ratios and return ratios increase while Selling, General and Administrative expense ratios decrease with the size of a company. However, we do not find evidence that larger companies have lower cost of debt or lower weighted average cost of capital. From our analysis, it is evident that particularly small firms can reap substantial economies of scale as they grow. However, the benefits of further growth tend to be much more modest for larger companies. Given REITs are on average larger than comparable non-REITs this may explain why REITs have lower economies of scale in expenses and revenues than Non-REIT real estate companies.     

Competition Between Low and High Quality Products in the Financial Services Market

The deregulation of the financial services markets has introduced many forms of competition. The game-theory model in this paper examines the interaction of firms who share the market by choosing products of different qualities. Such a model might apply to the competition between full-service and discount brokerage firms. The results show how the firms share the market and how the qualities and prices of the products react to changes in exogenous parameters. The low-quality level is more sensitive to changes in market volatility, and the high-quality level is more sensitive to consumer preferences and the cost of information. Assuming a uniform distribution of investor attitudes towards risk, the high-quality firm sells to 52.5% of the market, and the low-quality firm sells to 26.25%. The profit level of the low-quality firm is about 6% of that of the high-quality firm.     

Leverage and Taxes: Evidence from the Real Estate Industry

Finance theory has long viewed corporate income taxes as a potentially important determinant of corporate financing decisions and capital structures. But finance academics have been unable to provide convincing empirical evidence of a material effect of taxes on corporate leverage, in part because of difficulties in constructing an effective proxy for marginal corporate tax rates, and hence for the tax benefits of debt, for large samples of individual companies. The authors address this by analyzing leverage decisions in an industry whose publicly traded entities are organized either as taxable corporations, or as real estate investment trusts (REITs) that effectively avoid entity level taxation. This enables them to measure the relative tax benefits of debt with greater precision while controlling for important nontax characteristics that affect debt usage. The tax hypothesis predicts that for real estate firms with similar asset portfolios, taxable firms should have more debt than their nontaxable counterparts. Both the nontaxable and the taxable real estate firms in our sample routinely have more than twice the leverage of industrial firms, which suggests that factors other than taxes are contributing to their use of debt. But among real estate firms, tax status appears to play a much weaker role. Taxable firms have significantly more leverage only after 2000, when restrictions on REITs were removed through new regulations that made their operations much more like those of taxable real estate firms. Our findings also depend on real estate characteristics—most notably, only residential real estate firms demonstrated differences that are consistent with the tax hypothesis. Taken together, the authors’ findings suggest that although taxes do seem to matter, their role is clearly secondary relative to factors such as the nature of the firm’s assets. A generous interpretation of our evidence puts the effect of taxes between one‐third and one‐half of that implied by prior research.     

REIT Economies of Scale: Fact or Fiction?

The real estate industry has recently witnessed significant and pervasive consolidation with further growth and consolidation generally viewed as inevitable. For example, between 1990 and 1997, growth in average net real estate investments by large REITs outpaced growth in average net real estate investments by small REITs by 13 percent. However, no systematic study of the benefits of this consolidation exists. This research studies whether or not there are gains to consolidation due to economies of scale from size, brand imaging, and informational gains from geographic specialization. Our sample consists of 41 multifamily equity REITs, for whom financial and property level data are available in the SNL REIT Database. Using this data, we construct shadow portfolios that mimic each REITs exposure to changes in local market conditions. Our results show no size economies, that branding in real estate is allusive, and that geographic specialization, in agreement with Gyourko and Nelling (1996), has no significant benefit.