Should we worry about the decline of the public corporation? A brief survey of the economics and external effects of the stock market

In recent years, the number of listed companies has been declining in many countries across the world. This paper provides a selective survey of the literature on the real economic effects of the stock market to assess the potential effects of this decline and determine whether it is likely to continue. The leading economic role of the stock market’s primary market, in which firms raise capital by issuing new shares, is to help growing firms secure financing. We discuss providing and certifying information, coordinating investors, and easing the redeployment of capital as the means through which capital allocation can be efficiently achieved. The main economic roles of the stock market’s secondary market, the trade in existing shares, is to provide liquidity to shareholders, to aid in price discovery and to provide diversification opportunities. Positive external effects from an active stock market may arise for consumers, labor and private firms due to increased corporate investment, more socially responsible business strategies and a more positive business climate. Negative external effects on capital allocation and productivity can arise from short-termism, market mispricing, and increased cross-ownership. Local stock markets can spur innovation and foreign direct investment (FDI) and reduce the risk of early cross-border acquisitions. Given the myriad of useful economic functions the stock market performs, a future entirely absent of public companies is difficult to imagine and the decline is therefore likely at some point to come to an end. Whether we need to worry about the decline depends on the relative importance of the positive and negative external effects, a topic we feel warrants more research.     

The information content of funds from operations and net income in real estate investment trusts

This study compares the information content of funds from operations (FFO) and net income (NI) in the real estate investment trust (REIT) industry. We find that models using FFO explain more of the variance in cumulative abnormal returns around earnings announcement dates than models using NI do. We also find that the information content of FFO differs across REITs of different sizes. FFO does not provide useful information to investors in the case of large REITs. Finally, we show that the gain or loss from sales of property is relevant to valuing large REITs.     

Upzoning and value capture: How U.S. local governments use land use regulation power to create and capture value from real estate developments

The public sector can harness its authority to control land uses to secure valuable public benefits from real estate developments. This paper investigates how five major U.S. cities—Boston, Chicago, New York, San Francisco, and Seattle—are using their land use regulation powers to create and capture value for the public benefit. An analysis of the zoning and entitlement processes of the 20 largest real estate development projects in each city reveals that value has been captured from all 100 projects. Furthermore, these cities implicitly differentiated value capture into two distinct components: value creation and value capture. Among the 100 projects, cities created value for 90 projects by allowing greater density and height—a practice often referred to as “upzoning.” Distinguishing such upzoning incidences from traditional land use exaction tools is important because the added value gives local governments greater legitimacy in asking for public benefits. The experience of the five cities further revealed that value capture strategies can be customized to adapt to unique regulatory, political, and cultural contexts. Lastly, despite the fact that the majority of the upzoned projects increased density and height through project-specific negotiations, none of the cities had clear standards or evaluation frameworks for determining: how much value was created, what can be asked for in return, and who should benefit from the value captured. Cross-national scholarship on value capture can be leveraged to address these important questions.     

Relationship between city size and firm productivity – A new interpretation using the Chinese experience

This paper contributes to the literature on the relationship between city size and firm productivity by focusing on agglomeration, selection (market competition), and sorting (presence of firms with diverse productivity) effects using Chinese firm-level data for 1998–2013. Contrary to the existing literature, our parametric regression estimates from nearly two million firms show that when the selection effect is controlled, productivity advantage in big cities is reversed. This outcome is explained through a quantile regression showing the existence of left-sided sorting (inefficient firms sort themselves to larger cities) in big cities which is not captured in existing empirical literature. We further find that (1) left-sided sorting is stronger in exporters than non-exporters; (2) is also generated mainly in enterprises with high asset-liability ratios; and (3) selection has a positive effect on firm productivity, suggesting that market competition is key in an explanation of the rapid growth of big cities in China.     

Expanding airport capacity of cities under uncertainty: Strategies to mitigate congestion

Airport capacity constraints are increasingly challenging the growth of air traffic. At the same time, decision-making about airport capacity investments is extremely complex, involving trade-offs. This paper’s objective is to optimise a privately owned airport system’s capacity investment decision in a city under demand uncertainty. Next to the investment size, our real options model incorporates the timing of the investment, as well as the cost of congestion. The results reveal that the larger a city’s initial airport capacity, the smaller its investment will relatively be and the lower the occupancy rate threshold at which investment will take place. We also show that, in case of a higher demand growth combined with more demand uncertainty, the city will benefit from a significantly larger investment, but made later at a higher occupancy rate. In this case, cities with a small initial capacity will sometimes even more than double current capacity. Higher airport charges and an increase in non-aeronautical revenues both lead to a later investment in more capacity, due to the increased project attractiveness. An increase in congestion costs results in a larger investment made earlier, in order to eliminate delays. Airport operational cost and capacity holding cost increases both lead to smaller investments.     

Impact of macroeconomic surprises on the Brazilian yield curve and expected inflation

This study investigates how unexpected announcements in Brazilian and U.S. macroeconomic indicators affect the term structure of nominal interest rates, as well as implicit inflation expectations and real interest rates. Using daily data from March 2005 to December 2012, we employ an extended Vector Error Correction Model to take into account nonstationarity and the long-term equilibrium among different maturities of those curves. We found empirical evidence that macroeconomic surprises, domestic (Brazilian) and external (U.S. American), which lead the market to believe that there might be a higher risk of inflation or an overheated economy, raise nominal interest rates, implicit expected inflation and real interest rates. Surprisingly, in relation to the efficient-market hypothesis, we found that some macroeconomic surprises have a lagged effect on the yield curves. We also tested the impact of the global financial crisis of 2007–09 and found that the crisis affected significantly the direction and magnitude of the responses to macroeconomic news.     

Impact of electronic road pricing on real estate prices in Singapore

Since 1998, Singapore has had an Electronic Road Pricing (ERP) system set up with a network of toll gantries to tax vehicles entering designated areas in the city center during peak hours. Using the congestion rate hike with effect from November 1, 2010 as an exogenous shock, we test the effects of the ERP rate hike on retail, office and residential real estate prices. The results show that the November 2010 congestion toll rate increases cause a 19% drop in retail real estate prices within the cordon ERP areas relative to retail real estate prices outside the cordon ERP areas. The results are statistically and economically significant. However, the toll rate hike has no significant impact private office and residential real estate within cordoned ERP areas. The robustness and falsification tests could not reject the negative effects associated with the toll rate hike on retail real estate prices.     

Assessing targeted macroprudential financial regulation: The case of the 2006 commercial real estate guidance for banks

In January 2006, federal regulators issued guidance requiring banks with specific high concentrations of commercial real estate (CRE) loans to tighten managerial controls. This paper shows that banks with concentrations in excess of the thresholds set in the guidance subsequently experienced slower growth in their CRE portfolios than can be explained by changes in bank or economic conditions. Moreover, banks above the CRE thresholds tended to have slower commercial and industrial loan growth but faster household loan growth following issuance of the guidance. The results highlight the potentially broad influence that portfolio-based macroprudential regulation might have on bank behavior.     

Decision-making in incomplete markets with ambiguity—a case study of a gas field acquisition

We apply utility indifference pricing to solve a contingent claim problem, valuing a connected pair of gas fields where the underlying process is not standard Geometric Brownian Motion and the assumption of complete markets is not fulfilled. First, empirical data are often characterized by time-varying volatility and fat tails; therefore, we use Gaussian generalized autoregressive score (GAS) and GARCH models, extending them to Student’s t-GARCH and t-GAS. Second, an important risk (reservoir size) is not hedgeable. As a result, markets are incomplete which makes preference free pricing impossible and thus standard option pricing methodology inapplicable. Therefore, we parametrize the investor’s risk preference and use utility indifference pricing techniques. We use Least Squares Monte Carlo simulations as a dimension reduction technique in solving the resulting stochastic dynamic programming problems. Moreover, an investor often only has an approximate idea of the true probabilistic model underlying variables, making model ambiguity a relevant problem. We show empirically how model ambiguity affects project values, and importantly, how option values change as model ambiguity gets resolved in later phases of the projects. We show that traditional valuation approaches will consistently underestimate the value of project flexibility and in general lead to overly conservative investment decisions in the presence of time-dependent stochastic structures.     

Land prices and unemployment

We integrate the housing market and the labor market in a dynamic general equilibrium model with credit and search frictions. We argue that the labor channel, combined with the standard credit channel, provides a strong transmission mechanism that can deliver a potential solution to the Shimer (2005) puzzle. The model is confronted with U.S. macroeconomic time series. The estimation results account for two prominent facts observed in the data. First, land prices and unemployment move in opposite directions over the business cycle. Second, a shock that moves land prices also generates the observed large volatility of unemployment.