A Reexamination of Housing Price and Household Consumption in China: The Dual Role of Housing Consumption and Housing Investment

It is important to investigate the correlation between housing price and household consumption to gain an understanding of the behavior of the economy and effectively handle the consequences of economic development. In the last two decades, the accumulation of housing wealth by Chinese households has not been effectively transmitted to their final consumption. We discovered that the sustained increase in household wealth and housing-ownership rate in China has been accompanied by a decrease in consumption rate. We also identified a negative correlation between housing price and household consumption for both the homeowners who own one housing unit and those who own two units of housing. We investigated this phenomenon in China both theoretically and empirically by capturing the dual nature of housing as a consumption good and an investment vehicle. We found that the demand for second housing units is motivated by increasing housing consumption demand rather than pure investment needs. To explain the mechanisms that drive household-consumption behavior, we also explored the effects on household consumption of China’s educational system, marriage market and ageing society, as well as future housing-market uncertainty. The implications of government intervention in the housing market are discussed.     

House Price and co-Residence with Older Parents: Evidence from China

Numerous Chinese families choose to reside together with their elderly parents due to the considerable impacts of conventional values such as filial duty in Chinese society. However, as house prices rocketed up in major Chinese cities over the past decade, this arrangement is facing a sizeable challenge, therefore also raising new research question about it. This paper attempts to investigate the phenomenon of co-residence of adult children with their elderly parents in China. Using the 2013 data of China Household Finance Survey (CHFS), we document that house price is indeed a significant determinant for the pattern of intergenerational co-residence. Our empirical results can provide interesting insights into the important implication of rising house price for household residential arrangements in this country.     

Bank Competition with Financing and Savings Substitutes

This paper models the banking competition in loan and deposit markets on two levels. We measure the competition among different banks and among banks and non-bank financing and saving alternatives. We estimate a model of demand, cost, and market equilibrium equations for differentiated products by using data from the confidential reports that Spanish banks provide to the Bank of Spain during the period from 1988 to 2003. This database contains information on the effective interest rates on new loans and deposits, and the expected loan losses obtained from the Spanish Credit Register. The estimated price elasticities show that the products offered by different banks are close substitutes, which puts pressure on the banks’ profits margins. However, the substitutability between bank and non-bank products is much lower than the substitutability among products offered by different banks. The results also show that Spain’s entrance into the Eurozone did not cause a structural change in the demand and cost conditions of Spanish banks. The banks financed most of the imbalances between bank loans and domestic deposits before the crisis through the interbank market.     

Short-Sale Restrictions and Price Clustering: Evidence from SEC Rule 201

We provide a novel test of information-based theories of price clustering by examining trade, order, and the National Best Bid and Offer (NBBO) quote price clustering during periods when information is removed from the market. We use a natural experiment of short-sale restrictions resulting from Securities and Exchange Commission (SEC) Rule 201 to more effectively determine the impact of information on price clustering. We find evidence of increased price clustering for trades, orders, and NBBO prices during short-sale restrictions. Overall, our findings indicate that short-sale restrictions harm the price discovery process and lead to a reduction in market efficiency.     

The 2015 Maastricht-NUS-MIT International Real Estate Finance &; Economics Symposium: Editors’ Introduction to the Special Issue

We use an empirical model of commercial mortgage spreads to examine how tenant diversification impacts credit spreads for mortgages on retail properties. We find that mortgages on properties with a highly diversified tenant base have spreads that are up to 7.1 basis points higher than spreads on mortgages for single-tenant properties, but that mortgages on properties with moderate levels of tenant diversification have spreads that are up to 5.2 basis points lower than mortgages on single-tenant properties. The spread discount for mortgages on properties with moderate levels of tenant diversification disappears when the lease of the property’s largest tenant expires before the loan matures. Despite the spread discount that is given to properties with moderate levels of tenant diversification, we find that the likelihood with which a mortgage goes into default increases as tenant diversification increases.     

What Causes the Positive Price-Turnover Correlation in European Housing Markets?

This paper examines what determines the correlation between prices and turnover in European housing markets. Using a panel vector autoregressive model, we find that there is a particularly strong feedback mechanism between prices and turnover. Momentum effects are another important reason why prices and turnover are correlated. Common underlying factors, such as GDP and interest rates, also explain part of the price-turnover correlation. The results in this paper imply that, to understand price and turnover dynamics, it is important to model prices and turnover as two interdependent processes. There is a considerable bias in the coefficient estimates of standard house price models if this dependency is not explicitly taken into account.     

Urban Economic Openness and IPO Underpricing

This paper represents a first attempt to employ a macroeconomic approach to explain the high and varying IPO underpricing within a single emerging market. We examine the empirical impact of trade openness on the short-run underpricing of initial public offerings (IPOs) using city-level data. Particularly, we argue that urban economic openness (UEO) has a significant impact on the productivity and on prices of both direct and indirect real estate due to productivity gains of companies in more open areas. This in turn positively affects the firm’s profitability, enhancing the confidence in local real estate markets and future company performance, hence decreasing the uncertainty of the IPO valuation. As a result, issuers have less incentive to underprice IPO shares. We use a sample of Chinese real estate IPOs, which offer a suitable laboratory thanks to their strong geographic investment patterns focused locally and a country with a highly heterogeneous openness across regions. Controlling for traditional firm- and issuing-specific characteristics of IPOs that are used for developed markets and Chinese-related features (i.e. listing location and state ownership), we find the evidence that companies investing in economically more open areas experience less IPO underpricing. Our results show great explanatory power and are robust to different specifications.     

The ECB’s fiscal policy

While the ECB helped mitigate the euro crisis in the aftermath of Lehman, it has stretched its monetary mandate and moved into fiscal territory. This text describes and summarizes the crucial role played by the ECB in the intervention spiral resulting from its bid to manage the crisis. It also outlines ongoing competitiveness problems in southern Europe, discusses the so-called austerity policy of the Troika, comments on QE and presents two alternative paths for the future development of Europe.     

Chebyshev interpolation for parametric option pricing

Recurrent tasks such as pricing, calibration and risk assessment need to be executed accurately and in real time. We concentrate on parametric option pricing (POP) as a generic instance of parametric conditional expectations and show that polynomial interpolation in the parameter space promises to considerably reduce run-times while maintaining accuracy. The attractive properties of Chebyshev interpolation and its tensorized extension enable us to identify broadly applicable criteria for (sub)exponential convergence and explicit error bounds. The method is most promising when the computation of the prices is most challenging. We therefore investigate its combination with Monte Carlo simulation and analyze the effect of (stochastic) approximations of the interpolation. For a wide and important range of problems, the Chebyshev method turns out to be more efficient than parametric multilevel Monte Carlo. We conclude with a numerical efficiency study.