Lending relationships and credit rationing: the impact of securitization

Do lending relationships mitigate credit rationing? Does securitization influence the impact of lending relationships on credit rationing? If so, is its impact differently in normal periods versus crisis periods? This paper combines several unique data sets to address these questions. Employing a disequilibrium model to identify credit rationing, we find that more intense lending relationships, measured through their length and lower number, considerable improve credit supply and reduce the degree of credit rationing. In general, we find that a relationship with a bank that is more involved in securitization activities relaxes credit constraints in normal periods; however, it also increases credit rationing during crisis periods. Finally, we study the impact of different types of securitization – covered bonds and mortgage-backed securities (MBS) – on credit rationing. While both types of securitization reduce credit rationing in normal periods, the issuance of MBS by a firm’s main bank aggravates these firm’s credit rationing in crisis periods.lending relationships;financial crisis;securitization

The diffusion pattern of non-cash payments: evidence from China

Exploiting an original dataset of non-cash payments during the period between 1996 and 2005, this study analyses the diffusion patterns of non-cash payments in China. Based on both exponential and Gompertz curves, the point of sale (POS) terminal has shown a higher diffusion rate than that of automatic teller machines (ATMs). This result is also robust when a time trend is interacted with rivals' precedence, network effects and market concentration. The diffusion rates of both ATM and POS terminals have accelerated after 2002, when UnionPay was established in China. The diffusion rate of ATMs is found to be mainly driven by rivals' adoption of them. Market concentration boosts the diffusion of POS terminals. In spite of the rising number of POS terminals and merchants, the volume of POS transactions is low. The diffusion rate of POS is, however, negatively affected by interchange fees

The role of interchange fees in two-sided markets: An empirical investigation on payment cards

We study the impact of reductions in interchange fees on payment card services. We find that consumer and merchant acceptance and transaction volumes increased when interchange fees were reduced. Our results suggest that a 10 percent reduction in the rate of decline per quarter in the average interchange fee by an acquirer resulted in a rate of increase in merchant acceptance per quarter of up to 1.4 percent. Additionally, a 10 percent increase in the rate of interaction of merchant acceptance and the total number of cards increased the rate of quarterly issuer transaction volumes up to 1.7 percent

Trade credit, the Financial Crisis and Firms Access to Finance

We analyse for the first time whether trade credit provided an alternative source of external finance to SMEs during the credit crisis. Using firm level panel data on over 40,000 Spanish SMEs we find that credit constrained SMEs depend on trade credit, but not bank loans, to finance capital expenditures and that the intensity of this dependence increased during the financial crisis. Unconstrained firms, in contrast, are dependent on banks loans not trade credit. Overall, this suggests substitution between bank loans and trade credit that is conditional on the level of financing constraints and is more intense during the crisi

Combining Nearest Neighbor Predictions and Model-Based Predictions of Realized Variance: Does it Pay?

The increasing availability of intraday financial data has led to improvements in daily volatility forecasting through long-memory models of realized volatility. This paper demonstrates the merit of the non-parametric Nearest Neighbor (NN) approach for S&P 100 realized variance forecasting. A priori the NN approach is appealing because it can reproduce complex dynamic dependencies while largely avoiding misspecification and parameter estimation uncertainty, unlike model-based methods. We evaluate the forecasts through straddle trading profitability metrics and using conventional statistical accuracy criteria. The ranking of individual forecasts confirms that statistical accuracy does not have a one-to-one mapping into profitability. In turbulent markets, the NN forecasts lead to higher risk-adjusted profitability even though the model-based forecasts are statistically superior. In both calm and turbulent market conditions, the directional combination of NN and model-based forecasts is more profitable than any of the individual forecasts

Kinematics of the Outflow From The Young Star DG Tau B: Rotation in the vicinities of an optical jet

We present $^{12}$CO(2-1) line and 1300 $\mu$m continuum observations made with the Submillimeter Array (SMA) of the young star DG Tau B. We find, in the continuum observations, emission arising from the circumstellar disk surrounding DG Tau B. The $^{12}$CO(2-1) line observations, on the other hand, revealed emission associated with the disk and the asymmetric outflow related with this source. Velocity asymmetries about the flow axis are found over the entire length of the flow. The amplitude of the velocity differences is of the order of 1 -- 2 km s$^{-1}$ over distances of about 300 -- 400 AU. We interpret them as a result of outflow rotation. The sense of the outflow and disk rotation is the same. Infalling gas from a rotating molecular core cannot explain the observed velocity gradient within the flow. Magneto-centrifugal disk winds or photoevaporated disk winds can produce the observed rotational speeds if they are ejected from a keplerian disk at radii of several tens of AU. Nevertheless, these slow winds ejected from large radii are not very massive, and cannot account for the observed linear momentum and angular momentum rates of the molecular flow. Thus, the observed flow is probably entrained material from the parent cloud. DG Tau B is a good laboratory to model in detail the entrainment process and see if it can account for the observed angular momentum.Comment: Accepted to Ap

International scientific research on venture capital: a bibliometric and mapping analysis from the period 1978–2020

The aim of this study is to explore the relevance of scientific production on venture capital using bibliometric and mapping tools.We performed a search in Scopus, involving any document published between 1978 and 2020. We used bibliometric indicators to explore documents production, dispersion, distribution, time of duplication, and annual growth, as Price’s law of scientific literature growth, Lotka’s law, the transient index, and the Bradford model. We also calculated the participation index of the different countries and institutions. Finally, we explored the co-occurrence and thematic networks for the most frequently used terms in venture capital research through bibliometric mapping.A total of 1,230 original articles were collected from the timeframe 1978–2020. The model confirms that Price’s law is not fulfilled. Scientific production was better adjusted to linear growth (r = 0.9290) than exponential (r = 0.9161). Literature on venture capital research has increased its growth in the last 43 years at a rate of 7.9% per year, with a production that doubles its size every 9.1 years. The transience index was 79.91%, which indicates that most of the scientific production is due to a lot of authors with a small number of publications on the research topic. Bradford´s law shows that the scientific production in this area is widely distributed in multiple journals, and Lotka’s law indicates that the author’s distribution is heavily concentrated on small producers. The United States of America (USA) and the University of Pennsylvania present the highest production, contributing 31.22% and 1.63% of the total production of research on venture capital.The venture capital task has undergone a linear growth, with a very high rate of transience, which indicates the presence of numerous authors who sporadically publish on this topic. No evidence of a saturation point was observed in the scientific production analyzed, which makes it possible to conclude that the research in venture capital will continue to be in demand by the scientific community.The aim of this study is to explore the relevance of scientific production on venture capital using bibliometric and mapping tools.We performed a search in Scopus, involving any document published between 1978 and 2020. We used bibliometric indicators to explore documents production, dispersion, distribution, time of duplication, and annual growth, as Price’s law of scientific literature growth, Lotka’s law, the transient index, and the Bradford model. We also calculated the participation index of the different countries and institutions. Finally, we explored the co-occurrence and thematic networks for the most frequently used terms in venture capital research through bibliometric mapping.A total of 1,230 original articles were collected from the timeframe 1978–2020. The model confirms that Price’s law is not fulfilled. Scientific production was better adjusted to linear growth (r = 0.9290) than exponential (r = 0.9161). Literature on venture capital research has increased its growth in the last 43 years at a rate of 7.9% per year, with a production that doubles its size every 9.1 years. The transience index was 79.91%, which indicates that most of the scientific production is due to a lot of authors with a small number of publications on the research topic. Bradford´s law shows that the scientific production in this area is widely distributed in multiple journals, and Lotka’s law indicates that the author’s distribution is heavily concentrated on small producers. The United States of America (USA) and the University of Pennsylvania present the highest production, contributing 31.22% and 1.63% of the total production of research on venture capital.The venture capital task has undergone a linear growth, with a very high rate of transience, which indicates the presence of numerous authors who sporadically publish on this topic. No evidence of a saturation point was observed in the scientific production analyzed, which makes it possible to conclude that the research in venture capital will continue to be in demand by the scientific community