Purpose – The home is a substantial investment for most individual investors but the assessment of risk and return of residential real estate has not been well explored yet. The existing real estate pricing literature using a CAPM-based model generally suggests very low risk and unexplained excess returns. However, many academics suggest the residential real estate market is unique and standard asset pricing models may not fully capture the risk associated with the housing market. The purpose of this paper is to extend the asset pricing literature on residential real estate by providing improved CAPM estimates of risk and required return. Design/methodology/approach – The improvements include the use of a levered β which captures the leverage risk and Lin and Vandell (2007) Time on Market risk premium which captures the additional liquidity risk of residential real estate. Findings – In addition to presenting palatable risk and return estimates for a national real estate index, the results of this paper suggest the risk and return characteristics of multiple cities tracked by the Case Shiller Home Price Index are distinct. Originality/value – The results show higher estimates of risk and required return levels than previous research, which is more consistent with the academic expectation that housing performs between stocks and bonds. In contrast to most previous studies, the authors find residential real estate underperforms based on risk, using standard financial models.
The measurement of bank portfolio credit risk and risk-adjusted return is increasingly important to banking institutions. Banking curriculum needs to reflect this trend with instructional models that present and integrate these topics. This paper presents a model that allows students to experiment with the interaction of several components of credit risk, risk-adjusted return, and capital risk. It further provides a tangible estimate of the benefits of diversification and allocates these gains to the contributing loan division. Finally, the proposed model illustrates several factors affecting credit pricing and shows how bank profits can be allocated to customers (borrowers or depositors), managers, regulators, or shareholders. The model is assessable to upper level undergraduate finance students or MBA finance students in a few class periods.
There has always been an avid debate on the merits of owning versus renting a residence. There is a commonly accepted sentiment that owning a home is a wise investment. However, this sentiment is often unproven or supported with non-substantial evidence. The scholarly literature on the buy versus rent decision has conflicting results. Further, recent events in the US residential real estate market suggest increased asset riskiness which may have a dramatic effect on home ownership. Our research uses a capital budgeting model, similar to the lease versus buy analysis, with the output being the present value of buying instead of renting. The present value model includes the difference in cash flows between buying and renting for two standardized holding periods. A key contribution of the paper is a more accurate estimate of required return on equity, the discount rate in our present value model. As real estate values have recently demonstrated greater risk and the capital structure of homeowners may be highly leveraged, the cost of equity is higher than often suggested. The benchmark model uses point estimates for each variable with subsequent models including scenario analysis for key variables. The results suggest buying is better, in the benchmark model as well as scenarios allowing rents, home appreciation, mortgage rates and required return to vary. However, most scenarios show negative present values are possible, which contrasts the historic view that home ownership always has a positive return.
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