01/19/2021

Economically Problematic: An Empirical Examination of CMHC’s Affordability Program for Existing Rental Housing Stock

Authors

Grant Alexander Wilson, Ph.D., Assistant Professor, Faculty of Business Administration, University of Regina

Jason Jogia, MBA, M.Fin., Chief Investment Officer, Avenue Living

Author Bios

Dr. Wilson is an Assistant Professor at the Hill and Levene School of Business, University of Regina. His research focuses on marketing, strategy, and innovation. He has published over 20 peer-reviewed articles in top management journals including Journal of Small Business ManagementResearch-Technology Management, and Journal of Business Strategy. His research has been featured in the National Post and by the World Economic Forum. Dr. Wilson is also a research consultant and contributor to Avenue Living Asset Management.

Mr. Jogia is the Chief Investment Officer at Avenue Living and has over 15 years of experience in real estate capital markets, originating over $10 billion in real estate loans and $1 billion in equity. He has extensive experience in real estate investment analysis and capital structure across various real estate classes. In addition to holding 2 Masters’ degrees in Finance, Mr. Jogia is pursuing his Doctorate of Business Administration and currently serves as an instructor at the University of Calgary, specializing in real estate finance.

INTRODUCTION

The Canadian Mortgage and Housing Corporation (CMHC) is a Canadian Crown Corporation. According to the CMHC (2020a), it “exists for one reason: to make housing affordable for Canadians.” Outlined in their 2019 annual report, the CMHC explains its goal “that by 2030 everyone in Canada has a home they can afford that meets their needs” (CMHC, 2020a).  The annual report further explicates its strategy to achieve affordability housing for all Canadians by advancing homeownership rates and renting solutions. The CMHC facilitates real estate investment by offering mortgage programming with higher loan-to-value ratios, preferred interest rates, and longer amortization periods (CMHC, 2018a).

“In Canada, housing is considered ‘affordable’ if it costs less than 30% of a household’s before-tax income (CMHC, 2018b). Based on this definition, affordable housing includes both homeownership and renting scenarios.

HOMEOWNERSHIP IN CANADA 

As compared to other G20 countries, Canada is a leader in homeownership (Trading Economics, 2020). The last century of Canadian policy has facilitated homeownership (Statistics Canada, 2019). As such, the homeownership rate from the 1970s to the present has been greater than 60% but less than 70% (Statistics Canada, 2019; Trading Economics, 2020) (Figure 1). As of 2020, the homeownership rate was 64% (Trading Economics, 2020).

Graph of Homeownership in Canada

RENTING IN CANADA

Although homeownership is high, 36% of Canadians do not own their dwellings (Statistics Canada, 2019; Trading Economics, 2020). Today, it is estimated that 28% of Canadians live in some form of rental housing and 8% are homeless (Statistics Canada, 2016; Statistics Canada, 2019; Trading Economics). Table 1 depicts the average rent across Canada by bedroom type.

Table: Average Rent by Bedroom Type

According to the Canadian Rental Housing Index (2020), the average Canadian renter household earns $53,163 annually and spends 23% of their pre-tax income on rent. Although this figure is below the CMHC’s (2018b) affordability threshold, it is an average, and many Canadian renters are in unaffordable scenarios (Canadian Rental Housing Index, 2020). According to the Canadian Rental Housing Index (2020), 40% of Canadian renters spend more than 30% of their pre-tax income on rent and 18% spend over 50% of their pre-tax income on their rent. As such, the CMHC’s affordability strategy extends homeownership, with significant focus on affordable renting scenarios (CMHC, 2020a).

CMHC AFFORDABLE HOUSING PROGRAMS

Across Canada’s provinces and territories, there are numerous affordable housing programs offered directly by the CMHC and indirectly via their funding to provincial and territorial governments (CMHC, 2018c). The majority of the programs offer assistance to renters or homeowners (CMHC, 2018c). Such programs directly benefit low-income households, seniors, individuals with special needs, homeless, Indigenous peoples, and first-time homeowners (CMHC, 2018c). Other notable CMHC programs are designed to assist first-time homeowners and those looking to repair or renovate their homes (CMHC, 2018c). New programs that directly benefit households include assistance for renters and homeowners during COVID-19 (CMHC, 2020c). Select programs benefit builders that are establishing new affordable housing and owners or acquirers seeking to adapt properties to senior homes (CMHC, 2018c).

Despite the range of programs offered, few are aimed to benefit the owners or acquirers of existing rental stock. Only one CMHC program facilitates the acquisition of existing rental stock for the purpose of affordable housing (CMHC, 2020d). According to the CMHC (2020d), it “provides mortgage loan insurance flexibilities and other tools to facilitate the production and preservation of affordable housing.” However, “one of the eligibility criteria for determining affordability is 80% of the units in the project must be at or below the 30th percentile of rents in the subject market for units of a similar type (i.e. number of bedrooms)” (CMHC, 2020d). Table 2 illustrates the 30th percentile rents of major Canadian cities and the corresponding monthly median household and minimum wage incomes. Table 3 shows select Canadian cities with populations of over 50,000 but less than 200,000 and the corresponding monthly median household and minimum wage incomes.

Table 30th Percentile Rent by Bedroom Type Major Cities

Table: 30th Percentile Rent by Bedroom Type Select Cities

Although it is comprehendible that the CMHC is attempting to increase affordability with this program, the rationale for the 30th percentile eligibility criterion is not specified, much less empirically validated. Moreover, it is curious why more programs do not exist given the current and future importance of existing rental stock.

 EXISTING RENTAL STOCK

According to the CMHC (2020b), as of 2019, there were 2,126,060 properties in Canada’s rental universe (Figure 2). Of these properties, 539,140 (25.4%) were built before 1960. Almost half of the properties in the Canadian rental universe (1,026,020) were built between 1960 and 1979. From 1980 to 1999, 287,555 (13.5%) rental properties were built. Since 2000, 273,345 (12.9%) rental properties were built. Considering these figures, almost 90% of the properties in the Canadian rental universe were built in the previous century.

Graph: Rental Universe by Year of Construction

Given the historical and present importance of these assets, it is curious why the CMHC primarily focuses on new construction as opposed to property ownership succession and the preservation of existing stock. Based on Statistics Canada’s (2020) population projections (Figure 3), it is clear that new construction is required to accommodate the low and high growth estimates. However, existing rental properties are arguably more important, as they account for the majority of the rental universe and will continue to serve as the foundation.

Graph: Historical and Projected Population

Based on scope alone, the CMHC’s limited programming is highly concerning, as it erroneously focuses on new construction. This paper further argues, via an empirical exploration, that the sole CMHC program facilitating the acquisition of existing rental stock for the purpose of affordable housing is economically problematic.

METHODOLOGY

Sample

Per the CMHC’s (2018d) definition, multi-family residential properties are defined as those comprised of five or more units. Based on this definition and the affordability program’s eligibility, only properties with five or more units that were built before the year 2000 were included. Utilizing REALTOR, LoopNet, and Point2, 19 publicly available properties across Canada were identified. All 19 multi-family residential property listings were included in the analysis.

Data Analysis

Microsoft Excel was used to create pro forma income statements and cash flow statements. For each multi-family residential property listing, 10-year income and cash flow statements were created. Based on a property’s statements, internal rate of return (IRR) and total leveraged free cash flow (TLFCF) was computed. IRR is the single rate of return that “summarizes the merits of a project” (Ross, Westerfield, Jordan, & Roberts, 2007, p. 250). IRR is commonly used to assess the return of real estate investments. In real estate finance, the IRR is the percentage earned on each dollar invested over the holding period. In addition to IRR, it is important to assess real estate investment’s cash flow. Cash flow is the difference between incoming and outgoing cash or cash equivalents in a given time period (Phillips, Libby, Libby, & Anderson, 2007). A real estate investment “cash flows” if the difference between incoming and outgoing cash is positive. The extent to which a real estate investment’s IRR and cash flow is desirable is project-dependent. However, it is generally accepted that IRR should rival alternative investments of the same risk level and cash flow needs to be positive in the long-run.

Listing Details

The income and cash flow statements were based, in part, on listing data. The asset asking price, number of bedrooms, bedroom type, location, and property taxes were derived from the listing and used for analysis.

Model Assumptions

The income and cash flow statements were based, in part, on a number of economic, financing, and property assumptions. Economic assumptions included market rent, property tax, utilities, and operating expenses. Due to the program’s eligibility criterion, revenue was estimated based on the CMHC’s 30th percentile market rents for bedroom type and region. Market rent was expected to increase by 2% from the first to second year and 3% annually for subsequent years. Property taxes and utilities were estimated to increase by 3% annually. The increase in operating expenses were based on the annual inflation assumption of 2%. Financing assumptions included mortgage interest rate, amortization period, and down-payment percentage. A conservative 2% was used for a 10-year mortgage interest rate. The amortization period was assumed to be the conventional 30-year period with a 25% down-payment. Given the identified multi-family residential property listings did not provide detailed operating statements, CMHC’s publicly available data for area occupancy rates and operating expenses, based on number of units and unit type, were utilized.

RESULTS & DISCUSSION

Based on the 10-year income and cash flow statements, property IRRs ranged from -23.8% to +5.2%. Only six of the 19 properties yielded positive returns with an average IRR of -4.5%. All properties were cash flow negative. The TLFCF for the 19 properties ranged from -$2,118,860 to -$51,255 with an average of -$718,381. Table 4 details each listing and its corresponding IRR and TLFCF.

Table: IRR & TLFCF by listing

The individual and aggregate data is obvious, the CMHC program facilitating the acquisition of existing rental stock for the purpose of affordable housing is financially flawed. Of the 19 properties analyzed, all IRRs were nominal or negative. Given the risk associated with property ownership, even the most unsavvy of investors would be deterred by these IRRs. As Stanchill (1987) aptly states “any company, no matter how big or small, moves on cash, not profits. You can’t pay bills with profits, only cash.” As such, the negative TLFCF shown among all analyzed listings is deeply concerning and fails to support a reasonable business case for the acquisition of a single identified property. Without adjustments, the program cannot generate returns or liquidity.

A central component of this paper’s model is its rent assumption, as it drives revenues and cash collections. Basic financial accounting indicates that increased rent would positively influence both the IRR and TLFCF figures. As previously noted, the CMHC’s rationale for the 30th percentile rent is not specified, much less mathematically supported. If the program’s rent stipulations were adjusted to truly reflect the CMHC’s affordability definition (e.g. 30% of a household’s before-tax income), investors may be enticed to acquire existing rental stock to create affordable housing.

Tables 5 combines data from Tables 2 and 3, showing the potential average rents based on the CMHC’s definition of affordability and the median incomes in major and select cities. Comparing Tables 2 and 3 with 5, it is clear that there is a substantial difference between the 30th percentile rent and potential rent based on CMHC’s affordability definition.

Table: Affordable Rent in Major & Select Cities

RECOMMENDATIONS

Based on the results of this paper, two recommendations are delineated.

According to the CMHC (2020b), 90% of rental properties were built before 2000. Despite the obvious importance of these assets, serving as the foundation of the rental universe, there is only one affordability program for aging and existing stock. Recommendation one involves creating more programs for existing rental stock.

The CMHC’s sole affordability program is broken. The 30th percentile rent requirement prohibits positive returns and cash flows. Recommendation two is to change market rent stipulations based on substantiated economics and to better align with the CMHC’s definition of affordability.

CONCLUSION

This study’s empirical analysis of the publicly available multi-family residential properties, using the CMHC’s program parameters, proved to be economically problematic. Based on the insight from this data, it is apparent that this CMHC program needs to be revised. More needs to be done to support the maintenance, succession, and ultimate existence of current properties, as our future and the affordability of Canadian housing depends on it.

REFERENCES

Canadian Rental Housing Index. (2020). Snapshot. http://www.rentalhousingindex.ca/en/#comp_prov

CMHC. (2018a). Mortgage loan insurance. https://www.cmhc-schl.gc.ca/en/finance-and-investing/mortgage-loan-insurance/rental-housing-solutions/retirement-housing

CMHC. (2018b). About affordable housing in Canada. https://www.cmhc-schl.gc.ca/en/developing-and-renovating/develop-new-affordable-housing/programs-and-information/about-affordable-housing-in-canada

CMHC. (2018c). Affordable housing programs across Canada. https://www.cmhc-schl.gc.ca/en/developing-and-renovating/develop-new-affordable-housing/programs-and-information/provincial-territorial-programs-information

CMHC. (2018d). Rental housing solutions. https://www.cmhc-schl.gc.ca/en/finance-and-investing/mortgage-loan-insurance/rental-housing-solutions

CMHC. (2020a). 2019 Annual Report. https://www.cmhc-schl.gc.ca/en/housing-observer-online/2020-housing-observer/annual-report-word-evan

CMHC. (2020b). Rental market survey. https://www.cmhc-schl.gc.ca/en/data-and-research/data-tables/rental-market

CMHC. (2020c). Coronavirus (COVID-19) updates. https://www.cmhc-schl.gc.ca/en/media-newsroom/coronavirus-update

CMHC. (2020d). Advancing affordable housing solutions. https://assets.cmhc-schl.gc.ca/sf/project/cmhc/pdfs/content/en/affordability-criteria-rent-percentiles.pdf

Nethris. (2020). Minimum wage. https://nethris.com/legislation/minimum-wage/

Phillips, F., Libby, R., Libby, P. A., Anderson, T. (2007). Fundamentals of financial accounting (1st ed.). Toronto, ON: McGraw-Hill Ryerson.

Ross, S. A., Westerfield, R. W., Jordan, B. D., & Roberts, G. S. (2007). Fundamentals of corporate finance (6th ed.). Toronto, ON: McGraw-Hill Ryerson.

Stancill, J. M. (1987). When is there cash in cash flow? Harvard Business Review, 65(2), 38-49.

Statistics Canada. (2015). Population projections for Canada. https://www150.statcan.gc.ca/n1/pub/91-520-x/2010001/aftertoc-aprestdm1-eng.htm

Statistics Canada. (2016). Insights on Canadian society. https://www150.statcan.gc.ca/n1/pub/75-006-x/2016001/article/14678-eng.htm

Statistics Canada. (2019). Homeownership and shelter costs in Canada. https://www12.statcan.gc.ca/nhs-enm/2011/as-sa/99-014-x/99-014-x2011002-eng.cfm

Statistics Canada. (2020). Canada’s population clock. https://www150.statcan.gc.ca/n1/pub/71-607-x/71-607-x2018005-eng.htm

Trading Economics. (2020). Canadian home ownership rate. https://tradingeconomics.com/canada/home-ownership-rate

 

This commentary and the information contained herein are for educational and informational purposes only and do not constitute an offer to sell, or a solicitation of an offer to buy, any securities or related financial instruments. This article may contain forward-looking statements. Readers should refer to information contained on our website at www.avenuelivingam.com for additional information regarding forward-looking statements and certain risks associated with them. 



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