Determinants of bank efficiency: Evidence from a semi-parametric methodology

In this paper, we use a semi-parametric two-stage model to examine the effect of bank-specific, industry-specific and macroeconomic determinants of bank efficiency. This method, proposed by Simar and Wilson (2007), relaxes several deficiencies of previous two-stage analyses, which regress non-parametric estimates of bank efficiency on exogenous determinants. In particular, we propose a bootstrap procedure to be used in the second stage and we compare the results obtained to the equivalents of a Tobit model. We suggest that the Tobit regressions inaccurately provide insignificant estimates for the effect of bank size, industry concentration and economic investment on bank efficiency, a fact that illustrates the power of the new method. Since the effect of these determinants has been ambiguous in previous literature, this may be a desideratum for future research.Bank efficiency; semi-parametric models

The risk-taking channel of monetary policy in the USA: Evidence from micro-level data

There is a growing consensus that a prolonged period of low interest rates can exert a negative impact on financial stability through the risk-taking incentives of banks. Using micro-level datasets from the US banking sector, this paper finds evidence of a highly significant negative relationship between monetary policy rates and bank-risk taking. This finding remains robust across various specifications, sub-periods and subsamples, thereby confirming the presence of an active risk-taking channel of monetary policy since the 1990s. The results, therefore, support the new responsibilities of the Fed on macro-prudential supervision to monitor systemic risks.Bank risk; monetary policy; US commercial banks; Total loans; New loans

Determinants of bank efficiency: evidence from a semi-parametric mathodology

Purpose 13 This paper aims to analyze bank efficiency into a number of bank-specific, industryspecific and macroeconomic determinants. Design/methodology/approach 13 The authors follow a semi-parametric two-stage methodology, where productive efficiency is derived via a non-parametric technique in the first stage and then the scores obtained are linked to a series of determinants of bank efficiency, using a double bootstrapping procedure. Findings 13 Overall, it is found that the banking sectors of almost all the sample countries show a gradual improvement in their efficiency levels. The model used shows that a number of determinants like bank size, industry concentration and the investment environment have a positive impact on bank efficiency, which is not the case when standard Tobit models are employed. Research limitations/implications 13 The findings have important implications for the relevance of well-known hypotheses that refer to the performance of the banking sectors, like the structure conduct-performance and the efficient structure hypotheses. These implications are not necessarily verified when past conventional econometric methodologies are used. Practical implications 13 The paper offers new insights to policy makers, bank managers and practitioners on the relevance of a number of driving factors of bank efficiency that might help them to improve the performance of the banking system and enhance the quality of services provided. Originality/value 13 This is the first paper in the bank efficiency literature that employs a semiparametric two-stage model, which relaxes several deficiencies of previous two-stage empirical approaches thus, offering a solution to the many problematic features of standard censored regression

Trust, happiness, and households’ financial decisions

A recent line of research highlights trust as an important element guiding the decision of households to invest into risky financial assets and insurance products. This paper contributes to this literature by identifying happiness as another key driver of the same decision. Using detailed survey data from a sample of Dutch households, we show that the impact of happiness on households’ financial decisions works in the opposite direction and is more economically important compared to trust. Specifically, happiness leads to a lower probability of investing into risky financial assets and having insurance, while trust has the usual positive effect found in the literature. Furthermore, the negative effect of happiness on the ownership of risky financial assets is about 6% higher compared to the positive equivalent of trust. Similarly, the negative effect of happiness on the ownership of insurance is 3% higher than the positive effect of trust

Trust, happiness, and households’ financial decisions

A recent line of research highlights trust as an important element guiding the decision of households to invest into risky financial assets and insurance products. This paper contributes to this literature by identifying happiness as another key driver of the same decision. Using detailed survey data from a sample of Dutch households, we show that the impact of happiness on households’ financial decisions works in the opposite direction and is more economically important compared to trust. Specifically, happiness leads to a lower probability of investing into risky financial assets and having insurance, while trust has the usual positive effect found in the literature. Furthermore, the negative effect of happiness on the ownership of risky financial assets is about 6% higher compared to the positive equivalent of trust. Similarly, the negative effect of happiness on the ownership of insurance is 3% higher than the positive effect of trust

The chicken or the egg? A note on the dynamic interrelation between government bond spreads and credit default swaps

This note provides the first empirical assessment of the dynamic interrelation between government bond spreads and their associated credit default swaps (CDS). We use data for the Southern European countries (Greece, Italy, Portugal and Spain) that found themselves with a problematic public sector in the dawn of the recent financial distress. We find that CDS prices Granger-cause government bond spreads after the eruption of the 2007 subprime crisis. Feedback causality is detected during periods of financial and economic turmoil, thereby indicating that high risk aversion tends to perplex the transmission mechanism between CDS prices and government bond spreads

The chicken or the egg? A note on the dynamic interrelation between government bond spreads and credit default swaps

This note provides the first empirical assessment of the dynamic interrelation between government bond spreads and their associated credit default swaps (CDS). We use data for the Southern European countries (Greece, Italy, Portugal and Spain) that found themselves with a problematic public sector in the dawn of the recent financial distress. We find that CDS prices Granger-cause government bond spreads after the eruption of the 2007 subprime crisis. Feedback causality is detected during periods of financial and economic turmoil, thereby indicating that high risk aversion tends to perplex the transmission mechanism between CDS prices and government bond spreads

Determinants of bank efficiency: Evidence from a semi-parametric methodology

In this paper, we use a semi-parametric two-stage model to examine the effect of bank-specific, industry-specific and macroeconomic determinants of bank efficiency. This method, proposed by Simar and Wilson (2007), relaxes several deficiencies of previous two-stage analyses, which regress non-parametric estimates of bank efficiency on exogenous determinants. In particular, we propose a bootstrap procedure to be used in the second stage and we compare the results obtained to the equivalents of a Tobit model. We suggest that the Tobit regressions inaccurately provide insignificant estimates for the effect of bank size, industry concentration and economic investment on bank efficiency, a fact that illustrates the power of the new method. Since the effect of these determinants has been ambiguous in previous literature, this may be a desideratum for future research

Implementation of On-Line Data Reduction Algorithms in the CMS Endcap Preshower Data Concentrator Card

The CMS Endcap Preshower (ES) sub-detector comprises 4288 silicon sensors, each containing 32 strips. The data are transferred from the detector to the counting room via 1208 optical fibres running at 800Mbps. Each fibre carries data from 2, 3 or 4 sensors. For the readout of the Preshower, a VME-based system - the Endcap Preshower Data Concentrator Card (ES-DCC) is currently under development. The main objective of each readout board is to acquire on-detector data from up to 36 optical links, perform on-line data reduction (zero suppression) and pass the concentrated data to the CMS event builder. This document presents the conceptual design of the Reduction Algorithms as well as their implementation into the ES-DCC FPGAs. The algorithms implemented into the ES-DCC resulted in a reduction factor of ~20