Estimating global bank network connectedness

We use LASSO methods to shrink, select, and estimate the high‐dimensional network linking the publicly traded subset of the world's top 150 banks, 2003–2014. We characterize static network connectedness using full‐sample estimation and dynamic network connectedness using rolling‐window estimation. Statically, we find that global bank equity connectedness has a strong geographic component, whereas country sovereign bond connectedness does not. Dynamically, we find that equity connectedness increases during crises, with clear peaks during the Great Financial Crisis and each wave of the subsequent European Debt Crisis, and with movements coming mostly from changes in cross‐country as opposed to within‐country bank linkages.     

WHAT HAPPENED TO THE WILLINGNESS OF COMPANIES TO INVEST AFTER THE FINANCIAL CRISIS? EVIDENCE FROM LATIN AMERICAN COUNTRIES

In this article we investigate the changes in corporate investment dynamics in the aftermath of the global financial crisis. Using firm-level data from six Latin American countries from 2002 to 2015, we show that firms are less constrained and have greater ability to invest after the crisis. However, the willingness of firms to invest optimally is reduced. This is supported by strong evidence that during the postcrisis period investment–cash flow sensitivity disappears, investment-q sensitivity increases, and the estimated speeds of adjustment for target investment decrease. Moreover, after the crisis, firms notably increase their efforts to attain optimal cash and leverage levels. Our analysis implies that firms may not always be willing to invest optimally. The willingness to invest optimally appears to be time variant and moves together with the dynamics of cash and leverage policies, albeit in opposite directions.     

Predatory mortgage lending

Regulators express growing concern over predatory loans, which we take to mean loans that borrowers should decline. Using a model of consumer credit in which such lending is possible, we identify the circumstances in which it arises both with and without competition. We find that predatory lending is associated with highly collateralized loans, inefficient refinancing of subprime loans, lending without due regard to ability to pay, prepayment penalties, balloon payments, and poorly informed borrowers. Under most circumstances competition among lenders attenuates predatory lending. We use our model to analyze the effects of legislative interventions.     

The effects of ownership structure,sub-optimal cash holdings and investment inefficiency on dividend policy: evidence from Indonesia

Review of Quantitative Finance and Accounting - We investigate how a firm’s decision to hold excessive cash or to overinvest could influence its dividend payout policy in Indonesia....     

Foreign institutional ownership and demand for accounting conservatism: evidence from an emerging market

Review of Quantitative Finance and Accounting - This paper investigates the ‘price–concentration’ relationship in pricing syndicated loans. By measuring bank concentration at a...     

Is conservative reporting attractive to foreign institutional investors? Evidence from an emerging market

This study investigates the relation between conservative reporting and foreign institutional ownership using a unique dataset of firms in Turkey. In doing so, we distinguish between foreign funds and corporations. Contrary to prior findings, our analysis shows that conservative reporting is not necessarily a desirable accounting feature for foreign institutional investors. We also find that the interplay between conservative reporting and ownership is significantly different between foreign funds and corporations. The estimated negative relation holds only for foreign funds. Further analysis reveals that foreign funds do not find conservative reporting desirable in low-asymmetric information firms and reduce ownership with greater accounting conservatism in such firms. The analysis sheds significant lights on the relevance of conservative reporting in alleviating the negative consequences of asymmetric information.     

Impact of private forest ownership on deforestation and poverty

We analyzed the impact of private forest ownership on deforestation and poverty. Using multivariate cross-section models, we identified a statistically significant negative correlation between private forest ownership and deforestation and a statistically significant negative correlation between private forest ownership and poverty. Our study presents the importance of privatization in the forest sector and stimulation of private forestry to combat deforestation and poverty.     

Resource concentration,institutional quality and the natural resource curse

Employing panel data from 14 regions in Kazakhstan, this investigation aims to discover the effect of energy (point-source) and agricultural (diffuse) resource abundance on economic growth through institutional quality. A fixed effects panel data model and Roger's standard errors model are used to consider the possible endogeneity problem. Kazakhstan has two major export products, oil (point-source) and wheat (diffuse), and in theory these two products have different impacts on growth. Auty (1997), Woolcock et al. (2001) and Isham et al. (2005) found that it is the composition of resources, rather than any kind of natural resource, which is problematic for economic growth. The novelty of this research is that the natural resource endowments are considered as a nonlinear function of institutional quality. In contrast to others, we observe that it is not the type of natural resources that breeds economic failure, but rather their “overabundant” or excess production that is often associated with rent-seeking activities.     

An advanced perspective on the predictability in hedge fund returns

This paper advances the research on the predictability in hedge fund returns, using a broad set of risk factors within a variety of different prediction models. Accounting for the fact that returns are non-normally distributed, heteroscedastic and time-varying in their exposure to pervasive economic risk factors, we advocate a non-parametric backward elimination regression approach. The interdependencies between the monthly changes of envisaged risk factors and the subsequent hedge fund returns remain remarkably stable in terms of the observed direction of impact. Thus, taking into account the specific characteristics of this asset class, we find strong evidence of its return predictability.