“The Rise of Healthy Buildings in the Post-COVID-19 Pandemic Era”
Chongyu Wang, Siu Kei Wong, Tingyu Zhou
Written: December 2024 | https://ssrn.com/abstract=5044183
Abstract
This paper leverages the COVID-19 pandemic as a natural experiment to examine the impact of health-conscious infrastructure on financial outcomes in the commercial real estate sector. Using data from listed real estate companies across 19 countries, we document a post-pandemic surge in investments in healthy buildings, particularly in regions with higher pre-pandemic rates of respiratory diseases, reflecting growing demand for health-oriented spaces. Building on this shift, we demonstrate how health-centric amenities are capitalized into firm values and stock prices, with firms prioritizing healthy buildings exhibiting greater resilience during pandemic-induced market disruptions and achieving superior financial performance post-pandemic. Granular cell phone traffic data further validate these benefits, showing a marked increase in daytime visits to healthy buildings after reopening, underscoring their perceived safety and appeal. Together, these findings highlight the growing importance of health-centric infrastructure in shaping investment behavior, financial performance, and mobility patterns in a post-pandemic world.
“The Impact of Generative AI on Tenant-Driven Commercial Real Estate Valuation”
Chongyu Wang, Jingfang Wang, Tingyu Zhou
Written: June 2024 | https://dx.doi.org/10.2139/ssrn.4885867
Abstract
This study examines the impact of Generative Artificial Intelligence (AI) on the commercial real estate (CRE) valuation by analyzing both private rental market transactions and public stock market reactions. By constructing novel measures of tenants' exposure to Generative AI, our lease analysis reveals that increased Generative AI exposure leads to lower rents and shorter lease terms, mainly in the office and industrial sectors, following the release of ChatGPT. Utilizing a unique dataset linking tenants, commercial properties, and CRE firms, our public market analysis provides results consistent with those of the lease analysis. Higher Generative AI exposure leads to reduced market returns for CRE firms, highlighting market concerns about the future performance of heavily exposed firms. Portfolio analysis shows a considerable cumulative return from a strategy that longs low-exposure CRE firms and shorts high-exposure CRE firms. Our findings contribute to the literature on AI-driven labor displacement, suggesting a decreased demand for CRE spaces in core property types. However, our heterogeneity tests reveal varied effects, highlighting the need for future research to consider granular data and long-term impacts to refine our understanding of AI's influence on CRE.
“Overlapping Real Asset Networks and Corporate Investment”
Jeffrey Cohen, David C. Ling, Andy Naranjo, Chongyu Wang
Written: April 2024 | https://dx.doi.org/10.2139/ssrn.4780031
Abstract
This study shows how the interconnected networks of real assets among corporations affect their corporate investment choices, which highlights the importance of asset networks in determining firm investment. We first develop a theoretical model that predicts commonalities resulting from a firm’s asset network will lead to higher optimal investment, and we test these predictions using spatial econometrics and network methods. Controlling for both industry and headquarters co-investments, we find a 1% increase in the instrumented asset network co-investments relative to its long-term average is associated with a 0.35% increase in the typical firm’s rate of investment. We also find that the effect of the headquarters network (asset network) on firm investment decays (increases) with the extent of a firm’s geographic complexity (gauged by the number of locations in which a firm has a physical presence). We further show our documented asset network effect prevails among firms with higher corporate real estate holdings, which can be pledged as collateral for debt financing. A 1% increase in the debt issuance of companies in a firm’s asset network relative to its long-term average is associated with a 0.37% increase in a firm’s debt issuance. Our findings are robust to alternative specifications and omitted variable tests. Overall, our findings have important implications for assessing the effects of the locational boundary of firms, their overlapping locational networks, and their peer effects on firm corporate financial policy decision-making.
“Granular Risks and Stock Returns: Evidence From Commercial Real Estate”
David C. Ling, Chongyu Wang, Tingyu Zhou
Written: January 2024 | https://dx.doi.org/10.2139/ssrn.4495026
Abstract
A growing literature investigates the "granular" origins of aggregate fluctuations in a variety of contexts. This paper builds on the theoretical framework developed by Gabaix (1999) and provides the first empirical evidence of the causal link between granular risks, stemming from the size and geographic dispersion of cities, and stock market returns. We first construct an aggregated, firm-level measure of risk, termed granular property shocks (GPS), based on idiosyncratic risks in each commercial real estate (CRE) market, weighted by the percentage of each firm's portfolio allocated to each market. We show that this unexpected return risk in local property markets is subsequently capitalized into the prices of listed CRE companies. To establish a causal relationship between GPS and stock returns, we adopt the Granular Instrumental Variable (GIV) approach recently developed by Gabaix and Koijen (2020, 2021). Our results suggest that idiosyncratic shocks from individual property markets have a large and economically significant effect on listed returns: a one-standard-deviation shock to our instrumented GPS increases quarterly stock returns by 1.34%, which is 40% of its mean value.
“Did mortgage investors price regional housing bubbles? A tale of two markets”
Daniel Broxterman, Chuanhao Lin, Tian Luan
Written: December 2023 | https://dx.doi.org/10.2139/ssrn.4647419
Abstract
We examine whether mortgage investors recognized geographic differences in credit risk during the 2000s US housing bubble. Variation among cities in house price change and associated credit risk were substantial during this episode. Although the US government-sponsored enterprises and the Federal Housing Administration do not price local differences in credit risk, private investors in the non-agency mortgage market are free to do so. Accordingly, geographic variation in the spread between agency and non-agency interest rates should be associated with anticipated differences in house price appreciation.
This hypothesis is tested here and found to hold.
“Announcement of Northern Metropolis Plan Raises Housing Prices, Consumption, and School Enrolment, though Inconclusive on Inequality”
Yi Fan, Chongyu Wang, Ke Xu
Written: November 2023 | http://dx.doi.org/10.2139/ssrn.4620663
Abstract
Early-stage evaluation of mega projects is essential for policymaking and follow-up policy adjustment. Using an announcement of the Northern Metropolis Plan in Hong Kong on 6 October 2021 as a quasi-natural experiment, we discern its immediate impact on housing price, consumption, school enrolment, and longer-term implications on inequality. Drawing from a rich dataset spanning 38,214 housing transaction records, 4.7 million consumption records, and school enrolment data across 18 districts, our difference-in-differences estimates unveil three significant patterns. First, we find a marked 3.9% rise in housing prices in the Northern Metropolis region one year after the announcement, with a profound 6.9% surge in the initial 4 months. Additionally, we discover a swift 4.1% uptick in consumption for residents in the treated region in the same initial 4 months, predominantly within the private housing market possibly with expected housing wealth realization. Last, we observe a rise in school enrolments, mostly likely from bordering mainland China, spanning primary and secondary school levels in the subsequent year. While our findings hint at narrowing cross-region inequality in the global superstar city, they also suggest burgeoning within-region inequality, as benefits seem skewed towards private home occupants. We thus call for policy attention on the affordability and welfare of individuals with lower socioeconomic status in the Northern Metropolis region.
“Announcement of northern metropolis plan raises housing prices, consumption, and school enrollment, though inconclusive on inequality”
Yi Fan, Chongyu Wang, Ke Xu
Written: October 2023 | https://ssrn.com/abstract=4620663
Abstract
Early-stage evaluation of mega projects is essential for policymaking and follow-up policy adjustment. Using an announcement of the Northern Metropolis Plan in Hong Kong on 6 October 2021 as a quasi-natural experiment, we discern its immediate impact on housing price, consumption, school enrolment, and longer-term implications on inequality. Drawing from a rich dataset spanning 38,214 housing transaction records, 4.7 million consumption records, and school enrolment data across 18 districts, our difference-in-differences estimates unveil three significant patterns. First, we find a marked 3.9% rise in housing prices in the Northern Metropolis region one year after the announcement, with a profound 6.9% surge in the initial 4 months. Additionally, we discover a swift 4.1% uptick in consumption for residents in the treated region in the same initial 4 months, predominantly within the private housing market possibly with expected housing wealth realization. Last, we observe a rise in school enrolments, mostly likely from bordering mainland China, spanning primary and secondary school levels in the subsequent year. While our findings hint at narrowing cross-region inequality in the global superstar city, they also suggest burgeoning within-region inequality, as benefits seem skewed towards private home occupants. We thus call for policy attention on the affordability and welfare of individuals with lower socioeconomic status in the Northern Metropolis region.
“How does Zipf’s Law for cities affect stock returns? Evidence from granular risks in commercial real estate”
David Ling, Chongyu Wang, Tingyu Zhou
Written: June 2023 | https://dx.doi.org/10.2139/ssrn.4495026
Abstract
A growing literature investigates the “granular” origins of aggregate fluctuations in a variety of contexts. This paper builds on the theoretical framework developed by Gabaix (1999) and provides the first empirical evidence that agglomeration economies, derived from Zipf’s law of cities, are reflected in stock returns. We first construct a measure of idiosyncratic shocks to individual commercial real estate (CRE) markets, which we label granular property shocks (GPS). We show that this unexpected return risk in local property markets is subsequently capitalized into the prices of listed CRE companies. To establish a causal relationship between granular property shocks and stock returns, we adopt the Granular Instrumental Variable (GIV) approach recently developed by Gabaix and Koijen (2020, 2021). Our results suggest that idiosyncratic shocks from private CRE markets have a large and economically significant effect on listed returns: a one-standard-deviation shock to our instrumented granular shock increases quarterly returns by 1.34%, which is 40% of its mean value.
“Local Risk-Taking and Mortgage Loss”
Mingming Qiu, Chongyu Wang
Written: February 2023 | https://dx.doi.org/10.2139/ssrn.4374214
Abstract
We investigate the role of social structure in mortgage market risk-taking behavior and its economic implications in terms of mortgage loss. Focusing on conforming loans, we start by showing that the local risk-taking atmosphere is associated with higher loan-to-value ratios. Next, we verify the economic consequences of the documented risky behavior: the local risktaking atmosphere is positively correlated with default likelihood and loss upon default. Notably, lenders appear to price the risk-taking behavior, i.e., our risk-taking proxy is positively related to the interest rate upon origination. Further, the effect is attenuated in cities that are more exposed to climate hazards, in a subsample of FinTech lenders, and is more pronounced among high-quality loans. Our main results are robust to using state legalization of commercial casinos as an alternative experimental setup.
“International Firm Performance and Proximity to Rare Disaster Risk”
Chongyu Wang, Rose Neng Lai, Martin Hoesli
Written: February 2023 | https://dx.doi.org/10.2139/ssrn.4372530
Abstract
Treating the Russian invasion of Ukraine as a rare disaster event and defining proximity as both physical distance and political closeness, we analyze investors’ response to disaster risk by examining the performance of commercial real estate investments in countries of proximity to the event. We find that proximity to the war matters, but the impact of the disaster is not uniform across different property types. Firms with green and less obsolete properties are less likely to experience negative abnormal returns. Our findings highlight the differences in equity risk premia even within the same industry facing the same disaster. We also find support for the eminence of reducing reliance on brown fuel.
“Gender differences in multitasking: Evidence from the real estate brokerage industry”
Guangzhi Shang, Yanting Wu, Tingyu Zhou
Written: September 2022 | https://dx.doi.org/10.2139/ssrn.4234740
Abstract
Women are better at multitasking than men, right? This stereotype spurs a great deal of public interest. A stream of psychology studies has explored the question using lab experiments with stylized tasks and found inconclusive evidence. We use multitasking as a lens to understand the gender dynamics in the real estate brokerage industry, since a realtor’s job is organized by overlapping listing and buying tasks. The empirical OM literature on multitasking and workload provides us with the theoretical foundation and a readily applicable empirical strategy to investigate how the degree and ability of multitasking differ across men and women. Our analysis is conducted using a large-scale dataset covering residential realtor activities in the Canadian province of Quebec between 2005 and 2017. Due to its flexible work hours and relatively low entry barrier, there is an aggregate-level female dominance in this industry as a higher proportion of women work part-time. Focusing on active (full-time) agents, we find that, on average, female agents are endowed with less work opportunities than males, in terms of both pending tasks at the beginning of a month and new tasks obtained during the month. However, after controlling agent fixed effects and agents’ time-varying experience and ability, house and task attributes, and market conditions, female agents are better multitaskers than males. Specifically, for an additional unclosed task, female agents are able to obtain more new tasks than males (“momentum effect”), implying that the low labor participation among female agents is more likely due to their preference than their ability. Women also consistently attain a higher productivity gain (in terms of earned commissions) from multitasking. Overall, our results suggest that active female agents appear to be more productive due to their superior multitasking ability, yet they choose to work on fewer tasks. This is consistent with the extensive labor economics literature that women prefer occupations that offer better compatibility with family obligations. A back-of-the-envelope calculation estimates the constant marginal cost of adding a task is 15% higher for female agents, further explaining why female agents choose to do less work. These findings not only contribute to the OM literature on multitasking but also offer broad policy implications on gender balance and inequality in terms of labor participation, work opportunities, and pay gap.
"The role of tenant characteristics in retail cap rate variation"
Mariya Letdin, Stacy Sirmans, Greg Smersh, Tingyu Zhou
Written: May 2022 | https://dx.doi.org/10.2139/ssrn.4119899
Abstract
This study examines the variation in cap rates for single tenant net lease (STNL) properties. Despite an abundant literature on micro- and macroeconomic factors that influence capitalization rates, little is known about tenant and location-specific risk pricing, especially for smaller, single-tenant commercial properties. Using a unique dataset of more than 8,200 single-tenant retail property transactions from 2005 to 2019 in the United States, we quantify the risk associated with tenant characteristics, including the listing status of the parent company, ownership structure, default risk, and industry type. Our results show that these tenant characteristics play an important role in explaining cap rate variations.
"Loss aversion and focal point bias: Empirical evidence"
Stephen Ross, Tingyu Zhou
Written: March 2022 | https://dx.doi.org/10.2139/ssrn.4072887
Abstract
Recent research suggests that loss aversion may arise from anchoring or inattention, consistent with bounded rationality. Focal point bias (focus on round numbers or left digits) represents a well-documented, bounded rationality driven behavioral bias. We estimate a strong conditional correlation between an estimated loss aversion parameter and reporting round numbers using data from an earlier experiment. Then, we examine the effects of expected losses on housing sales prices, and we find that the positive effects of facing a loss on the eventual sales price are larger for sellers who selected a round mortgage amount during their initial purchase.
"How do institutional investors react to geographically dispersed information shocks: A test using the COVID-19 pandemic"
David Ling, Chongyu Wang, Tingyu Zhou
Written: March 2021 | https://dx.doi.org/10.2139/ssrn.3812726
Abstract
We examine how institutional investors reacted to geographically dispersed local shocks during the early stages of the COVID-19 pandemic. A sample of Real Estate Investment Trusts (REITs) enables us to link two layers of geography, the locations of assets in which the REITs were invested and the locations of institutional investors who owned REIT shares. We find that the institutional ownership of firms with an economic interest in the investors home markets declined more if those markets were heavily affected by the pandemic. In addition, the ownership responses to the COVID-19 shock were larger in those markets in which REITs had larger portfolio allocations and in markets that were home to the investors. Importantly, we find that non-passive and short-term investors may have overreacted to the local shocks because their REIT portfolios underperformed relative to passive and long-term investors. Our study highlights the importance of geography in the formation of investors expectations during market crises.
"Conflicts of interest and agent heterogeneity in buyer brokerage"
Lawrence Kryzanowski, Yanting Wu, Tingyu Zhou
Written: March 2021 | https://dx.doi.org/10.2139/ssrn.3805973
Abstract
This paper investigates the incentives of agents working with buyers (buying agents) under the fixed percentage commission system (FPCS) and the implications on housing market outcomes. Our model shows that the absence of a binding contract creates a risk of losing clients for buying agents, which helps mitigate the conflict of interest between buying agents and their clients. Both the buying agents prediction accuracy regarding their clients reservation prices and the level of tolerance given by the buyer to the buying agent affect the binding force. Results from simulations and empirical analyses using house transactions in Canada support our model predictions.
"Face-to-face interactions, tenant resilience, and commercial real estate performance"
Chongyu Wang, Tingyu Zhou
Written: December 2020 | https://dx.doi.org/10.2139/ssrn.3743818
Abstract
We study the impact of face-to-face (FTF) interactions on commercial real estate (CRE) performance. By linking tenants, properties, and CRE firms, we construct three novel FTF measures that capture tenant remote working, internal communication between coworkers, and external contact with customers. Using the COVID-19 pandemic as an exogenous shock to the FTF economy, we find that firms holding properties with tenants that are more resilient to social distancing perform better. These FTF effects weaken over the long term, however. As investors are capable of compiling valuable information at granular levels regarding how tenants operate, our findings support market efficiency and shed light on post-pandemic CRE performance.
"Asset productivity, local information diffusion, and commercial real estate returns"
David Ling, Chongyu Wang, Tingyu Zhou
Written: July 2020 | https://dx.doi.org/10.2139/ssrn.3628872
Abstract
An extensive literature finds that indices of returns on equity real estate investment trusts (REITs) predict return indices in the private commercial real estate (CRE) market. Using a novel geographically weighted proxy for the quarterly performance of the property types within the local markets in which a REIT is invested, or property portfolio return (PPR), we find a "private predicts public" result in a cross-sectional, firm-level context. This finding suggests that geographically dispersed information and investors limited attention can delay timely stock price adjustments. Our findings also suggest it is the diffusion of information about "local" price changes, rather than local supply elasticities, regulatory constraints, the degree of local information risk, current rental income, or local liquidity that predicts REIT returns. The PPRs associated with REIT allocations to major "gateway" markets are more predictive of REIT returns than the property portfolio returns produced by allocations to secondary and tertiary markets. This study improves our understanding of the speed at which "local" information about the perceived productivity of a firms assets is capitalized into stock prices.
"Mortgage relief: Who CARES?"
Mariya Letdin, Meagan McCollum
Written: July 2020 | https://dx.doi.org/10.2139/ssrn.3645498
Abstract
The Coronavirus Aid, Relief, and Economic Security Act (CARES Act) provides mortgage forbearance relief to qualifying borrowers, whose loans are placed in a government backed mortgage pool. We analyze the effects of being ineligible for the program by examining the aftermath of the same requirement in the Home Affordable Refinance Program (HARP). Using a comparable sample of borrowers with Freddie Mac loans and privately securitized loans (Bbx) we compare loan performance and quantify potential wealth, consumption, and credit consequences for prime borrowers whose loans were placed in private securitization pools and who were thus ineligible for a government relief program. We show that restricting modification benefits to include only borrowers in federally backed mortgage pools results in significant loss in wealth (through reduced prepayment and increased default) for those otherwise similar borrowers whose loans are placed outside of GSE pools. The greatest detriment is documented in CBSAs with the largest housing price declines.
"A first look at the impact of COVID-19 on commercial real estate prices: Asset-level evidence"
David Ling, Chongyu Wang, Tingyu Zhou
Written: June 2020 | https://dx.doi.org/10.2139/ssrn.3593101
Abstract
This is the first paper to examine the transmission of an asset market shock to the capital markets during the COVID-19 pandemic. Using a novel measure of the exposure of commercial real estate portfolios (CRE) to the growth in COVID-19 (GeoCOVID), we find a one-standard-deviation increase in GeoCOVID on day t-1 is associated with a 0.24 to 0.93 percentage points decrease in abnormal returns over one-to-three-day windows. There is substantial variation across property types. Local and state policy interventions helped to moderate the negative return impact of GeoCOVID. However, there is little evidence that reopenings affected the performance of CRE markets.
"Trade-offs between asset location and proximity to home: Evidence from REIT property sell-offs"
Chongyu Wang, Tingyu Zhou
Written: May 2020 | https://dx.doi.org/10.2139/ssrn.3600365
Abstract
We examine property sell-offs by real estate investment trusts (REITs) and find that investors respond favorably to sales of properties located close to a sell-off firms headquarters. The negative relationship between the distance from headquarters and cumulative abnormal returns (CARs) that we document exists only in non-gateway markets, though; there is no such relationship in gateway markets. This finding suggests that the positive effects of selling assets in small markets with high perceived risk and limited growth opportunities dominate the negative effects of the efficiency loss brought about by holding assets far away from home. This is the first study to simultaneously examine the proximity of a firms underlying assets to its headquarters and the location of individual assets in the context of asset sales. Our results are robust to several measures of proximity (using geographic distance, in miles, between a firms headquarters and its underlying assets or a nearby dummy for below-median distance), to alternative market classifications, to the inclusion of various fixed effects and controls for geographic concentrations (the Herfindahl index of how close to one another the properties are located) and property performance, and to bargaining power and business cycles.
"A first look at the impact of COVID-19 on commercial real estate prices: Asset-level evidence"
David Ling, Chongyu Wang, Tingyu Zhou
Written: May 2020 | https://dx.doi.org/10.2139/ssrn.3593101
Abstract
This is the first paper to examine the transmission of an asset market shock to the capital markets during the COVID-19 pandemic. Using a novel measure of the exposure of commercial real estate portfolios (CRE) to the growth in COVID-19 (GeoCOVID), we find a one-standard-deviation increase in GeoCOVID on day t-1 is associated with a 0.24 to 0.93 percentage points decrease in abnormal returns over one-to-three-day windows. There is substantial variation across property types. Local and state policy interventions helped to moderate the negative return impact of GeoCOVID. However, there is little evidence that reopenings affected the performance of CRE markets.
"House prices, government quality, and voting behavior"
Daniel Broxterman, Trenton Chen Jin
Written: April 2020 | https://dx.doi.org/10.2139/ssrn.3552879
Abstract
The hypothesis that minority voters act in their economic self-interest in supporting municipal candidates of their own race or ethnicity has been tested using changes in municipal spending and employment. However, governments affect voter welfare in many other ways, particularly in the provision of quality public services. This paper exploits a natural experiment arising in 1995 when Congress created an appointed financial control board for the District of Columbia and gave to it many of the powers previously reserved to the local elected government. The natural experiment sets up a triple-difference research design based on changes in property values across District neighborhoods and voting behavior compared to untreated adjacent areas across the District boundary in Maryland. We find that oversight by a control board raised appreciation rates in the District by 178 to 254 basis points. Furthermore, effects of the intervention were uniformly positive across areas of the District that varied dramatically in their support for the incumbent administration that lost its powers. This implies, after the fact, that the administration's supporters had not voted in accord with economic self-interest.
"Does restricting the entry of formula businesses help mom-and-pop stores? The case of American towns with unique community character"
Minjee Kim, Tingyu Zhou
Written: February 2020 | https://dx.doi.org/10.2139/ssrn.3536604
Abstract
Communities worldwide have been wrestling with issues associated with chain stores proliferation. Many have explored and enacted chain store entry barriers in response, but how such regulations affect mom-and-pop businesses is still largely debated. The impact of chain store entry barriers on independent businesses is likely to vary by the characteristics of the local economy, a consideration overlooked by existing studies. Using a sample of U.S. cities with unique community character, we examine the effect of Formula Business Restrictions (FBR), a type of an American land use regulation that restricts the entry of "formula businesses," defined as businesses offering and utilizing a standardized set of merchandise, services, and design. We find that the passage of FBR led to higher number and percentage of employees working in mom-and-pop businesses. This positive effect occurred over time with increasing magnitude. We also find that FBR had heterogeneous effects on different industry groups. For example, FBR had strong positive effects on retail mom-and-pop stores, but not on the service sector. Lastly, we show that FBR helped mom-and-pop businesses primarily by protecting existing ones from downsizing. These findings suggest that chain store entry barriers can be beneficial for independent businesses located in small towns with unique community character, but policymakers must be cautious of its varying effects on different industry groups.
"Examining omitted variable bias in anchoring premium estimates: Evidence based on assessed value"
Tingyu Zhou, John Clapp, Ran Lu-Andrews
Written: February 2020 | https://dx.doi.org/10.2139/ssrn.3534732
Abstract
We propose a new assessed value approach to control for the amount of persistent unobserved quality. We apply our approach to a well-established two-stage framework developed by Genesove and Mayer (GM, 2001), who test the effect of an expected loss on final transaction prices in the housing market. We show that our assessed value model effectively mitigates the omitted variable bias and produces similar results as GM when the first-stage residual is included. Importantly, our model does not rely on repeat sales and therefore provides a powerful new tool for estimating market value. Results are robust to alternative specifications, to controlling for loan-to-value ratios, to replacing final sale price with listing price, to alternative fixed effects, to subperiods, to different holding periods, to simulated quality, to excluding flippers, and to controlling improvements between sales.
