Adjustment to target capital, finance and growth

Does financial development result in capital being reallocated more rapidly to industries where it is most productive? We argue that if this was the case, financially developed countries should see faster growth in industries with investment opportunities due to global demand and productivity shifts. Testing this cross-industry cross-country growth implication requires proxies for (latent) global industry investment opportunities. We show that tests relying only on data from specific (benchmark) countries may yield spurious evidence for or against the hypothesis. We therefore develop an alternative approach that combines benchmark-country proxies with a proxy that does not reflect opportunities specific to a country or level of financial development. Our empirical results yield clear support for the capital reallocation hypothesis.

Confusió i borsa

En aquest article es conceptualitza la confusió en termes d'incertesa, considerant posteriorment com intervé en el procés de formació de creences i en la presa de decisions d'inversió i distingint tres tipus d'estratègies inversores, la diversificació, la concentració en empreses confiant en el pla empresarial i en la capacitat de gestió i, finalment, el seguidisme, referent a l'estratègia basada en confiar en tercers (rumors, notícies, experts, gurus ...). D'acord amb aquesta anàlisi, s'estableix la influència de la informació i la confusió en formació de les bombolles financeres i s'il·lustra amb l'exemple de la bombolla immobiliària i el crac borsari de 2008 a Espanya.

Immigration and housing: rethinking the role of fiscal policies to manage diversity

We study the two key social issues of immigration and housing in lightof each other and analyse which housing policies work best to distributediversity (racial, economic, cultural) equally across our cities and towns. Inparticular, we compare the impact of direct government expenditure andtax incentives on the housing conditions of immigrants in four Europeancountries: France, Germany, Spain and the United Kingdom. The analysisshows that the different policies which have been adopted in these countrieshave not succeeded in preventing immigrants from being concentratedin certain neighbourhoods. The reason is that housing benefits andtax incentives are normally “spatially blind”. In our opinion, governmentsshould consider immigration indirectly in their housing policies and, forinstance, distribute social housing more evenly across different areas topromote sustainable levels of diversity.

Housing Wealth and Housing Decisions in Old Age: Sale and Reversion

Population ageing brings new challenges to long-term household economic decisions. In the event of old-age dependency, housing assets become a key self-insurance device. However, little empirical evidence has been reported regarding an individual"s expectations of having to use their housing wealth for such a purpose. This paper draws upon two complementary data sources to empirically examine: (1) the influence of housing assets on an individual"s willingness-to-sell (WTS) their dwelling for care purposes, and (2) the willingness to take out a reverse mortgage contract loan in the event of old-age dependency. The paper"s findings suggest that homeowners" WTS in old age is unaffected by their income or housing assets and is, rather, determined by socio-environmental housing characteristics and the individual"s health and personal needs. Conversely, the study finds that the uptake of home reversion loans is largely dependent on income or education, but not on a household"s housing assets.

HouSI: Heuristic for delimitation of housing submarkets and price homogeneous areas

This paper seeks to address the problem of the empirical identification of housing market segmentation,once we assume that submarkets exist. The typical difficulty in identifying housing submarkets when dealing with many locations is the vast number of potential solutions and, in such cases, the use of the Chow test for hedonic functions is not a practical solution. Here, we solve this problem by undertaking an identification process with a heuristic for spatially constrained clustering, the"Housing Submarket Identifier" (HouSI). The solution is applied to the housing market in the city of Barcelona (Spain), where we estimate a hedonic model for fifty thousand dwellings aggregated into ten groups. In order to determine the utility of the procedure we seek to verify whether the final solution provided by the heuristic is comparable with the division of the city into ten administrative districts.

Idiosyncratic Volatility Puzzle: Influence of Macro-Finance Factors

In this paper, we scrutinize the cross-sectional relation between idiosyncratic volatility and stock returns. As a novelty, the idiosyncratic volatility is obtained by conditioning upon macro-finance factors as well as upon traditional asset pricing factors. The macro-finance factors are constructed from a large pool of macroeconomic and financial variables. Cleaning for macro-finance e§ects reverses the puzzling negative relation between returns and idiosyncratic volatility documented previously. Portfolio analysis shows that the effects from macro-finance factors are economically strong. The relation between idiosyncratic volatility and returns does not vary with the NBER business cycles. The empirical results are highly robust. Keywords: Idiosyncratic volatility puzzle; Macro-finance predictors; Factor analysis; Business cycle. JEL Classifications: G12; G14

Banks, Lies and Bricks: The Determinants of Home Value Inflation in Spain during the Housing Boom

During the first decade of this century, Spain experienced the most important economic and housing boom in its recent history. This situation led the lending industry to dramatically expand through the mortgage market. The high competition among lenders caused a dramatic lowering of credit standards. During this period, lenders operating in the Spanish mortgage market artificially inflated appraised home values in order to draw larger mortgages. By doing this, lenders gave financially constrained households access to mortgage credit. In this paper, we analyze this phenomenon for this first time. To do so, we resort to a unique dataset of matched mortgage-dwelling-borrower characteristics covering the period 2004–2010. Our data allow us to construct an unbiased measure of property’s over-appraisal, since transaction prices in our data also includes any potential side payment in the transactions. Our findings indicate that i) in Spain, appraised home values were inflated on average by around 30% with respect to transaction prices; ii) creditconstrained households were more likely to be involved in mortgages with inflated house values; and iii) a regional indicator of competition in the lending market suggests that inflated appraisal values were also more likely to appear in more competitive regional mortgage markets. Keywords: Housing demand, appraisal values, house prices, housing bubble, credit constraints, mortgage market. JEL Classification: R21, R31

Defining housing market areas using commuting and migration algorithms. Catalonia (Spain) as an applied case study

In the literature on housing market areas, different approaches can be found to defining them, for example, using travel-to-work areas and, more recently, making use of migration data. Here we propose a simple exercise to shed light on which approach performs better. Using regional data from Catalonia, Spain, we have computed housing market areas with both commuting data and migration data. In order to decide which procedure shows superior performance, we have looked at uniformity of prices within areas. The main finding is that commuting algorithms present more homogeneous areas in terms of housing prices.