Knowledge that Transforms

This paper introduces the concept of divergence of sentiment to the behavioral finance literature. We measure the distance between people with positive and negative sentiment on a daily basis for 20 countries by using data from status updates on Facebook. The prediction is that a higher divergence of sentiment leads to more diverging views on prospects and risks, and thus to more diverging views on the value of a stock. In line with this prediction, divergence of sentiment is positively related to trading volume. We further predict and find a positive relation between divergence of sentiment and stock price volatility. The observed relations are stronger when individual investors are more likely to trade. We compare the effect of our country-specific measures to a global measure of divergence of sentiment. We find that the separate effects of country-specific and global divergence measures depend on a country's level of market integration.

Despite the extensive debate on the effects of bank competition on economic welfare and growth, only a handful of single-country studies deal with the impact of bank competition on the cost of credit. We contribute to the literature by investigating the impact of bank competition on the cost of credit in a cross-country setting. Using a panel of firms from 20 European countries covering the period 2001–2011, we consider a broad set of measures of bank competition, including two structural measures (Herfindahl–Hirschman index and CR5), and two non-structural indicators (Lerner index and H-statistic). We find that bank competition increases the cost of credit and observe that the positive influence of bank competition is stronger for smaller companies. Our findings accord with the information hypothesis, whereby a lack of competition incentivizes banks to invest in soft information and conversely increased competition raises the cost of credit. This positive impact of bank competition is however influenced by the institutional and economic framework, as well as by the crisis.

This study quantifies the effects of persistently low interest rates near to the zero lower bound and unconventional monetary policy on pension fund risk incentives in the United States. Using two structural vector autoregressive (VAR) models and a counterfactual scenario analysis, the results show that monetary policy shocks, as identified by changes in Treasury yields following changes in the central bank's target interest rates, lead to a substantial increase in pension funds’ allocation to equity assets. Notably, the shift from bonds to equity securities is greater during the period where the US Federal Reserve launched unconventional monetary policy measures. Additional findings show a positive correlation between pension fund risk-taking, low interest rates and the decline in Treasury yields across both well-funded and underfunded public pension plans, which is thus consistent with a structural risk-shifting incentive.

This paper analyzes a wide range of flexible drift and diffusion specifications of stochastic-volatility jump–diffusion models for daily S&P 500 index returns. We find that model performance is driven almost exclusively by the specification of the diffusion component whereas the drift specifications is of second-order importance. Further, the variance dynamics of non-affine models resemble popular non-parametric high-frequency estimates of variance, and their outperformance is mainly accumulated during turbulent market regimes. Finally, we show that jump diffusion models yield more reliable estimates for the expected return of variance swap contracts.

We use the recent financial crisis period to analyse the effect of bank credit tightening on firm investment. We derive a new set of credit tightening indexes from the ECB Bank Lending Survey. Combining these with annual balance sheet data from Germany, France, Italy, Spain, Belgium and Portugal, we exploit the heterogeneity in the dependence on bank finance of different industries to identify real effects of credit tightening. We show that in response to tightening, investment falls substantially more in bank-dependent industries.

We derive closed-form expressions for risk measures based on partial moments by assuming the Gram-Charlier (GC) density for stock returns. As a result, the lower partial moment (LPM) measures can be expressed as linear functions on both skewness and excess kurtosis. Under this framework, we study the behavior of portfolio rankings with performance measures based on partial moments, that is, both Farinelli-Tibiletti (FT) and Kappa ratios. Contrary to previous results, significant differences are found in ranking portfolios between the Sharpe ratio and the FT family. We also obtain closed-form expressions for LPMs under the semi non-parametric (SNP) distribution which allows higher flexibility than the GC distribution.

We document a systematic seasonal component in the aggregate underperformance of active mutual funds. At the aggregate level, active funds underperform the market and other passive benchmarks only in the first month of a quarter. This intra-quarter performance seasonality holds across fund sizes and investment styles. The pattern is consistent with short-term stock return reversal effects along with aggregate window-dressing and, to a lesser extent, NAV-inflation practices around quarter-ends. We find marginal or no evidence of microstructure biases, fund investor flows, or cash distributions as sources of this seasonality. Our findings highlight new features of the active management underperformance puzzle.

Firms can be credit constrained either because a loan has been denied by the lender or because they decide not to apply for such a loan due to expected rejection. Using a large sample of European small and medium enterprises, we investigate the relationship between gender and credit constraints. Although no evidence is found that financial institutions are biased against female managers, female-run firms are less likely to file a loan application, as they anticipate being rejected. As a consequence, firms managed by women obtain less bank financing.

According to the “cost efficiency - liquidity creation” hypothesis (CELCH), introduced in this paper, a rise in a bank’s cost efficiency level increases its liquidity creation. By employing a novel stress test scenario under a panel VAR methodology, the CELCH and the direction of causality between liquidity creation and cost efficiency are tested. Moreover, using new measures of liquidity creation (Berger and Bouwman, 2009), the question of whether potential bank mergers and acquisitions (M&As) can enhance liquidity creation and generate additional credit channels in the economy is addressed. The robustness of potential consolidation scenarios are evaluated and compared through the use of new “half-life” measures (Chortareas and Kapetanios, 2013). In line with CELCH, the positive impact of cost efficiency on liquidity creation is shown. The empirical evidence further suggests that potential consolidation activity can enhance the flow of credit in the economy. Bank shocks seem to have the most persistent effect on both liquidity creation and cost efficiency. Finally, doubts are cast on the strategies followed by policy authorities regarding the recent wave of M&As in the banking sector.

Choosing a mortgage is one of the most important financial decisions made by a household. Financial innovation has given rise to more complex mortgage products with back-loaded payments, known as ‘Alternative Mortgage Products’ (AMPs), or ‘Interest-Only Mortgages’. Using a specially designed question module in a representative survey of UK mortgage holders, we investigate the effect of consumer financial sophistication on the decision to choose an AMP instead of a standard repayment mortgage. We show poor financial literacy and present bias raise the likelihood of choosing an AMP. Financially literate individuals are also more likely to choose an Adjustable Rate Mortgage (ARM), suggesting they avoid paying the term premium of a fixed rate mortgage.