The Effects of Assumption Financing Across Housing Price Categories

This study employs a standard housing valuation model to analyze the capitalization of below-market financing across housing price categories. The study also investigates the effect of secondary financing on housing prices and the effect of the expected holding period on discount capitalization. Using a randomly selected sample of 1981–82 housing transactions the study finds: the discount associated with below-market financing is inversely related to the absolute level of housing prices; secondary financing bears no systematic relationship to housing values; and discount capitalization is inversely related to the expected holding period.     

An Empirical Analysis of Hedonic Regression and Grid-Adjustment Techniques in Real Estate Appraisal

Multiple regression analysis has become increasingly popular when appraising residential properties for tax purposes. Alternatively, most fee appraisers and real estate brokers use the traditional sales comparison approach. This study combines the two techniques and uses multiple regression to generate the adjustment coefficients used in the grid adjustment method. The study compares the combined grid-regression method with ordinary regression and defines the market conditions under which each method is likely to be more effective. The grid-regression method is found to be more accurate for relatively homogeneous housing markets, and the multiplicative percentage adjustment method (MPAM) the preferred approach.     

Creative Financing and House Prices: A Theoretical Inquiry into the Capitalization Issue

Since buyers offer a premium for access to creative financing (CF), creatively-financed houses will sell for more than otherwise identical houses purchased with standard financing. A commonly suggested method for adjusting house values to eliminate the effects of CF is the "cash equivalence" method, where the CF premium is assumed to equal the present value of savings from CF. This paper shows that in a world with active housing speculators, the cash equivalence approach gives the right answer: In an "arbitrage" equilibrium, house values must differ by exactly the present value of CF savings. Further analysis shows that when capital markets are perfect, each consumer is indifferent between CF and standard financing when arbitrage equilibrium obtains. Without perfect capital markets, however, consumers will strictly prefer one financing mode or the other.     

The Asset Approach to Pricing Urban Land: Empirical Evidence

Many papers have attempted to explain Intelmetropolitan variations in the price of housing using multi-equation models of the metropolitan housing market. This paper uses a long-run equilibrium urban asset model to explain such variations. The model builds upon previous models that introduce uncertainty into the dynamic urban model of land conversion. The empirical results strongly support the asset approach to valuing land in urban areas.     

成都市金沙遗址博物馆对周边住宅价格影响分析

通过分析成都市金沙遗址博物馆周边一定区域内住宅到博物馆距离与住宅价格之间的关系,建立Hedonic模型,进一步研究影响城市住宅价格因素中旅游景区这一特征对住宅价格的影响。研究结果分为1)在影响住宅价格的因素中,显著性较强的是周边市政设施、物业费、建筑装修程度和到金沙遗址博物馆距离;2)成都市金沙遗址博物馆对城市住宅价格的影响可以用半对数模型表达式表示。进而得出结论:1)影响城市住宅价格因素中旅游景区特征对周边住宅价格的提升具有正作用;2)运用Hedonic模型可以有效地将旅游景区特征对住宅价格的影响作用进行量化;3)基于旅游景区的正向作用,国家应充分重视旅游房地产业。     

Closed-Form Mortgage Valuation Using Reduced-Form Model

Valuing mortgage-related securities is more complicated than valuing regular defaultable claims due to the borrower's prepayment behavior as well as the possibility of default. Some researchers use a structural-form model to obtain the closed-form formulas for the mortgage value. With this method, however, it is difficult to identify the critical region of early exercise. As an alternative, the reduced-form model developed in this article is able to value the mortgage without setting boundary conditions, and it can thereby accurately handle the multidimensional space of correlated state variables. The purpose of this article is to derive a closed-form solution of the mortgage valuation equation under a general reduced-form model that embeds relevant economic variables. This new approach enables portfolio managers to undertake sophisticated portfolio optimization and hedging analyses. An implementation procedure for the model is also provided to demonstrate how the valuation framework can be utilized in practical applications.     

A review of: “FORTY CENTURIES OF WAGE AND PRICE CONTROLS: HOW NOT TO FIGHT INFLATION” by R. L. Schuettinger and E. F. Buttler,Caroline House,Ottawa, Illinois, 1979, 184 pagea,list $9.95.

We show that when a project is financed with amortized debt, traditional capital budgeting procedures may lead to biased net present values. A model is presented, based on the seminal work of Modigliani-Miller, which allows the net present value of a project to be determined by a weighted average cost of capital that varies with the amortization process.

The implications are substantial for financing arrangements such as long term loans, sinking fund debt, leasing, real estate financed by mortgages, and discount debt obligations.     

Valuing Real Capital Investments Using The Least-Squares Monte Carlo Method

The recently developed least-squares Monte Carlo (LSM) method provides a simple and efficient technique for valuing American-type options. The proposed method is applicable to the cases of compound real options, like the other numerical techniques such as finite difference and lattice methods, with the additional advantage to handle easily the cases of multiple uncertain state variables with different and complex stochastic processes. With this advantage, the LSM method is not only efficient for valuing multi-factor American options, but it can also be extended for valuing complex real investments having many embedded real options and involving multiple uncertain state variables. This article examines the applicability of the LSM method in valuing real capital investments. Two valuation examples have been provided to test the efficiency of the proposed method in both the valuation and the decision-making processes.     

Patent Renewals as Options: Improving the Mechanism for Weeding Out Lousy Patents

This paper examines how patent renewal fees may be restructured to discourage low-value patents with the goal of reducing the burden on patent offices without unduly impairing innovation incentives. We depart from Pakes’ (1986, Econometrica, 54, 755–784) real-option model by moving to an approach involving binomial trees, widely used in valuing financial options. The new approach has the advantage of allowing the dynamics of the patent rent to follow a wide range of stochastic processes. The model is estimated using French data from 1970 to 2002. Policy simulations cast some doubt on the relevance of the current schedule of renewal fees. An alternative fee schedule is suggested.     

How Subprime Borrowers and Mortgage Brokers Shared the Pie

We develop an equilibrium model for origination fees charged by mortgage brokers and show how the equilibrium fee distribution depends on borrowers' valuation for their loans and their information about fees. We use noncrossing quantile regressions and data from a large subprime lender to estimate conditional fee distributions. Given the fee distribution, we identify the distributions of borrower valuations and informedness. The level of informedness is higher for larger loans and in better educated neighborhoods. We quantify the fraction of the surplus from the mortgage that goes to the broker, and how it decreases as the borrower becomes more informed.     

Project valuation in the pharmaceutical industry: a comparison of least‐squares Monte Carlo real option valuation and conventional approaches

Least‐squares Monte Carlo simulation (LSM) is a promising new technique for valuing real options that has received little or no attention in the pharmaceutical industry. This study demonstrates that LSM can handle complex valuation situations with multiple uncertainties and compounded American‐type options. The limited application of real option valuation (ROV) in the pharmaceutical industry is remarkable, given the importance of accurate project valuation in an industry that requires large investments in high‐risk projects with long pay‐back periods, which is furthermore suffering from ever‐increasing development costs and shrinking profit margins. The LSM model developed in this study is constructed as an extension of a discounted cash flow model that should be familiar to economists active in the pharmaceutical industry. A number of pharmaceutical projects have been evaluated using LSM ROV, binominal real option valuation and expected net present value techniques. The different results yielded by these methods are explained in terms of differences in risking assumptions and ability to capture the value of flexibility. The analysis provides a framework to introduce the basic concepts of real option pricing to a non‐specialist audience. The LSM model illustrates the potential for real‐life commercial assessment as the versatility of the technique allows for an easy customisation to specific business problems.     

Modeling Spatial Variation in Housing Prices: A Variable Interaction Approach

The absolute location of each real estate parcel in an urban housing market has a unique location-value signature. Accessibility indices, distant gradients and locational dummies cannot fully account for the influence of absolute location on the market price of housing because there are an indeterminable number of externalities (local and nonlocal) influencing a given property at a given location. Furthermore, the degree to which externalities affect real estate values is not only unique at each location but highly variable over space. Hence, absolute location must be viewed as interactive with other determinants of housing value. We present an interactive variables approach and test its ability to explain price variations in an urban residential housing market. The statistical evidence suggests that the value of location, as embodied in the selling price of housing units, may not be separable from other determinants of value. It is recommended that housing valuation models, therefore, be specified to allow site, structural and other independent attributes to interact with absolute location—{ x , y } coordinates—when accounting for intraurban variation in the market price of residential housing. This approach is especially useful when estimating the value of housing for geographic areas where very little is known a priori about the neighborhoods or submarkets.     

Remarks on Engineering Economy Studies from the Viewpoint of Statistical Decision Theory

Lack of credit during periods of financial stress can reduce sales in an entire supply chain. To reduce the reliance on external credit, we introduce a new financing framework in which key supply chain stakeholders accept delayed payment for a pre-agreed portion of their product or service. By doing so throughout the supply chain, each stakeholder must self-finance only their in-house activities—but not the cost of purchased components and services because those are in turn financed by their suppliers. Intended to account for only a small fraction of sales, this framework is limited to supplying customers who do not qualify for external financing. The payments from these customers are distributed among the value chain stakeholders according to an agreed-upon policy. These additional sales would otherwise be lost for lack of consumer credit. This approach increases sales and profitability for the entire supply chain and is especially advantageous during credit crunches. In addition to describing this new financing framework, this article places it in the context of other financing arrangements, provides an example with cash flow and net present value calculations, and identifies implementation challenges and characteristics of supply chains that are good candidates.     

Impact Fees and the Price of New Housing: An Empirical Study

Development exactions in the form of impact fees are being used increasingly by local governments to fund the cost of providing public services necessitated by growth and development. This paper presents the results of an empirical study designed to ascertain the extent to which impact fees are capitalized into the price of new, single-family dwellings. On June 3, 1974, the city of Dunedin, located in Pinellas County, Florida, began assessing impact fees of $1,150 against all new, single-family construction. Using data on 5,839 new home sales in Dunedin and three other cities in Pinellas County from 1971–1982, it was found that builders were able to pass forward the total cost of impact fees to new home buyers. However, the price differential due to impact fees for new dwellings in Dunedin compared to the price of new dwellings in the other three cities disappeared after approximately six years. This is explained by the nature of the fee structure in Dunedin, adjustments in factor costs, increases in the price of housing in competing cities, and unrealized expectations regarding the benefits to be provided by impact fee collections.     

The Effect of Municipal Services and Local Taxes on Housing Values

This paper presents an economic model which casts the "Tiebout Hypothesis" in a Von Thumen type model of spatial equilibrium and considers the effect of differential provision of municipal services on household utility levels and housing prices in a politically fragmented urban area. Also in the context of this model three alternative methods of financing municipal services are examined. The article suggests that different levels of municipal services may cause spatial disequilibrium in an urban area, and as households move within the urban area to maximize their utility, they bid up (or down) the price of housing to the extent that their consumer's surplus is capitalized in housing values. Thus, the resultant urban rent gradient may be "kinked" or discontinuous. This paper also presents empirical findings examining the relationship between housing values and several municipal services.     

REIT在我国廉租房工程中应用研究

目前我国正在大规模开展廉租房建设工程,由于廉租房建设工程具有资金需求量大,资本回收周期长等特点,使得很多廉租房建设出现了融资难的现象.文章为了解决廉租房融资问题,提出了运用REIT模式来拓宽廉租房融资渠道.对比已有融资资金数量和廉租房建设成本,得出了廉租房建设存在资金缺口;分析了REIT相关优势,并给出了廉租房REIT设计方案;在此基础上从内涵报酬率、总资产收益率、净资产收益率3个角度,分析出我国廉租房运用REIT模式进行融资是可行的.针对我国开展廉租房REIT业务的障碍,提出了解决相关问题的建议.     

媒体监督对上市公司融资约束的影响研究——基于Heckman两阶段模型的实证检验

本文以2010～2014年沪深两市上市公司为研究对象,采用Heckman两阶段模型研究了媒体监督对上市公司融资约束的作用机理,深入探索了不同类型媒体监督对融资约束的影响差异。研究结果发现：媒体监督对上市公司融资约束可以产生显著的影响,即媒体正面报道可以减轻企业的融资约束,而媒体负面报道则会加剧企业的融资约束;不同类型的媒体监督对上市公司融资约束的影响存在差异,相对于纸质媒体监督而言,网络媒体监督对融资约束的影响力更大。     

Spectrum value

Radio spectrum is a scarce resource; understanding its economic value is one piece of information needed to manage it efficiently. Estimating the value of radio spectrum, however, creates significant challenges not found in valuing some other assets. Spectrum is somewhat of a special case; market transactions provide a basis for valuation, but almost always require significant adjustments. Some adjustments are best made using discounted cash flow (DCF) analysis or econometric evidence. A review of past work on spectrum valuations suggests that focusing on a single valuation technique leaves critical information about spectrum value unused.     

R&D as an option on market introduction

Discounted cash flow methods for making R&D investment decisions cannot properly capture the option value in R&D. Since market and technology uncertainties change expectations about the viability of many new products, the value of projects is frequently adjusted during the R&D stages. Capturing the adjustment in expectations has an option value that may significantly differ from the Net Present Value of R&D projects. However, there are no historic time series for estimating the uncertainty of the value of R&D projects. As a result, the standard Black and Scholes model for financial option valuation needs to be adjusted. The aim of this paper is to report the application of a particular option pricing model for setting the budget of R&D projects. The option value of the model captures jumps or business shifts in market or technology conditions. The approach originates from applying current insight into the valuation of R&D projects to the field of multimedia research at Philips Corporate Research. This way, the gap between real option theory and R&D practice is further diminished.     

住房保障配套制度改革初探

住房保障配套制度是解决城市低收入阶层住房问题和保持社会稳定的重要措施。章重点阐述了住房社会保障体系中保障对象的核定、住房供应系统以及住房社会保障的信贷和利率体系的相互关系。住房保障配套制度的建立必将成为住房制度改革的基础。