Is the cardholder an efficient alarm system to detect credit card incidents?

There is a growing tendency in credit card industry to increase the contribution of the smallest players, the cardholders, in the detection of card incidents. This article examines whether cardholders are efficient at detecting/communicating incidents of theft, loss or fraudulent use of their cards. The analysis focuses on whether they demonstrate enough speed of response to support a risk control subsystem by the issuer. The research follows a completely new approach showing how the issue can be handled by applying the concept of elasticity, a notion just recently exported from economics to the field of statistics by linking it with the reverse hazard rate. The issue is focused on the analysis of the characteristics of the elasticity function of the random variable that measures the delay of cardholders in reporting incidents. This study is illustrated with an application to a real data set of 1069 incidents.     

Bank lending channel of monetary policy： Evidence for Colombia,using a firms＇ panel data

In this paper we find empirical evidence of bank lending channel for Colombia, using a balanced panel data of about four thousand non-financial firms. We find that increases in the interest rate, proxiing for the monetary policy instrument, lead to a reduction in the proportion of bank loans, out of total debt, of the firms. This bank lending channel amplifies the effect of the traditional interest rate channel, which leads to a reduction in total debt and spending when monetary policy tightens. Our evidence suggests that firm size matters in the transmission of monetary policy through the bank lending channel： Smaller firms have a higher probability of being credit rationed after a tightening of monetary policy than （otherwise identical） larger firms.     

Analysing wage differentials when workers maximize the return to human capital investment

The analysis of the determinants of differences in wages across workers has traditionally relied on the estimation of average earnings functions. In this article, we propose a new theoretical model where it is the workers who decide the amount they wish to invest in human capital, taking into account the costs of acquiring those skills, for the purpose of maximizing earnings. In this model, both human capital and marginal productivity are likely to be influenced by the individual’s (unobserved) characteristics such as ability or motivation, potentially giving rise to endogeneity problems. In this context, the empirical implementation of our theoretical model allows us, under certain assumptions, to obtain consistent estimates even under the assumption of endogeneity. We present an empirical application to the education sector using data from the Spanish Structure of Earnings Survey 2010. Our results show that females and workers in the private education sector face more difficulties in achieving their maximum potential wage.     

Spillovers and absorptive capacity in the decision to innovate of Spanish firms: the role of human capital

This paper investigates whether the existence of knowledge spillovers and the capacity of firms to assimilate them, which we relate with R&D intensity and some human resource management practices, are associated with the decision to innovate of Spanish firms. In order to do this, we employ data from the ‘Central de Balances’ database, which covers both manufacturing and services firms during the period 2003–2007, and use an estimator proposed by Wooldridge [2005. Simple solutions to the initial conditions problem in dynamic nonlinear panel data models with unobserved heterogeneity. Journal of Applied Econometrics 20, no. 1: 39–54] for dynamic random effects discrete choice models. The empirical exercise provides evidence on the positive link between spillovers and the innovative behaviour of companies, not just for the knowledge generated in the same industry, but also for that generated in the same region or by the public sector. Moreover, this link is stronger for those firms with a higher capacity to absorb those spillovers. This ability not only works through firms’ R&D capabilities, but also through factors such as the quality of the labour force, the share of temporary employment and the amount of resources spent in training. In addition to these factors, we find that innovation performance exhibits a high degree of inertia. Further, some other observed firm characteristics, such as size, sales growth, export behaviour, sector capital intensity or financial structure variables, are also found to be relevant determinants of the likelihood of innovation.     

Persistence in Portuguese mutual fund performance

Recent evidence suggests that future performance is predictable from past performance, that is, funds with superior (inferior) performance in the past are likely to remain good (bad) performers in the future. This research addresses the persistence of mutual fund performance in a European regional market (the Portuguese equity fund market). Some of the problems in evaluating fund persistence are identified in the context of limited sample size and using the peer group median as a benchmark for contingency table analysis of performance persistence. The criteria for assessing performance persistence based on the contingency table methodology of repeated winners and losers are presented in terms of significance statistics, adjusted for small sample bias. The adjustments are accomplished through the Yates continuity correction and Fisher's exact p-value. The appropriateness of each criteria under different circumstances is also discussed. The analysis of the returns of all Portuguese domestic equity funds, since a representative number was established, shows some performance persistence (on a quarterly basis). The persistence, however, is reduced when the returns are controlled for the various dimensions of risk. Significant risk persistence has been documented. Furthermore, for more or less frequent intervals of measurement, the industry persistence is rejected, although individual funds exhibit superior/inferior performance.     

Empirical analysis of the average asset correlation for real estate investment trusts

The credit risk capital requirements within the current Basel II Accord are based on the asymptotic single risk factor (ASRF) approach. The asset correlation parameter, defined as an obligor's sensitivity to the ASRF, is a key driver within this approach, and its average values for different types of obligors are to be set by regulators. Specifically, for commercial real estate (CRE) lending, the average asset correlations are to be determined using formulas for either income-producing real estate or high-volatility commercial real estate. In this paper, the value of this parameter was empirically examined using portfolios of U.S. publicly-traded real estate investment trusts (REITs) as a proxy for CRE lending more generally. CRE lending as a whole was found to have the same calibrated average asset correlation as corporate lending, providing support for the recent U.S. regulatory decision to treat these two lending categories similarly for regulatory capital purposes. However, the calibrated values for CRE categories, such as multi-family residential or office lending, varied in important ways. The comparison of calibrated and regulatory values of the average asset correlations for these categories suggests that the current regulatory formulas generate parameter values that may be too high in most cases.     

Do Investment Newsletters Move Markets?

We analyze the market impact of stock recommendations made by a single investment newsletter that focuses on instances of heavy insider trading. The market reacts positively to the actual insider trades and the associated Form 4 Securities and Exchange Commission (SEC) filings that attracted the newsletter's interest. The subsequent recommendations, which occur within a delay of several days, are associated with an even larger announcement period return and higher trade volume. Thus, despite the fact that recommendations are largely based on publicly available information on insider trades and the reach of the newsletter is limited, the newsletter has a significant impact on the market.     

Default and bankruptcy in an entrepreneurial economy with incomplete markets

We build a general equilibrium model with incomplete markets, production, default, and bankruptcy. The existence of equilibrium is proved. Theoretically, under appropriate conditions, we show that the reduced-form entrepreneurial equilibrium and profit-maximization entrepreneurial equilibrium, as defined by Magill and Quinzii (1996), are equivalent. In addition, we find an inverse relationship between the economy real interest rate and the probability of default. This result is empirically tested by applying the Cox proportional hazards model with time-dependent covariates for a sample of sole proprietorships’ unsecured credit operations in the Brazilian economy. The estimates confirm the findings from the theoretical model.     

Tail dependence risk exposure and diversification potential of Islamic and conventional banks

This paper undertakes a rolling window comparative analysis of risks for portfolios consisting of GCC Islamic and conventional bank indices. We draw our empirical results by employing canonical, drawable and regular vine copula models, as well as by implementing a portfolio optimization method with a conditional Value-at-Risk constraint. We find evidence of higher riskiness in the group of Islamic banks relative to the group of conventional banks across each of the financial rolling window scenarios under consideration. Specifically, a greater negative (nonlinear) tail asymmetric dependence is observed in the pairs of Islamic banks’ relationships. The results also show that the optimal portfolio model supports a clear preference towards the group of conventional banks in regard to risk minimization and diversification benefits.