Knowledge that Transforms

We study the impact of the different tax treatment of capital gains and losses on the optimal location of assets in taxable and tax-deferred accounts. The classical result of Black (1980) and Tepper (1981) suggests that investors should follow a strict pecking order asset location rule and hold those assets that are subject to the highest tax rate preferentially in tax-deferred accounts. We show that with the different tax treatment of realized gains and losses, only tax-efficient equity mutual funds are optimally held in taxable accounts, whereas mutual funds with average tax-(in)efficiency are preferentially held in tax-deferred accounts.

Using novel monthly data for 226 euro-area banks from 2007 to 2015, we investigate the determinants of banks’ sovereign exposures and their effects on lending during and after the crisis. Public, bailed-out and poorly capitalized banks responded to sovereign stress by purchasing domestic public debt more than other banks, consistent with both the “moral suasion” and the “carry trade” hypothesis. Public banks’ purchases grew especially in coincidence with the largest ECB liquidity injections, which therefore reinforced the “moral suasion” mechanism. Bank exposures significantly amplified the impact of sovereign stress on bank lending to domestic firms, as well as on lending by foreign subsidiaries of stressed-country banks to firms in non-stressed countries. Altogether, our evidence connects this amplification effect and its cross-border transmission to the moral suasion exerted by domestic governments on banks during the crisis.

We use a dataset from a large retail bank to examine the impact of financial advice on investors’ stock trading performance and behavioral biases. Our data allow us to classify each individual trade as either advised or independent and to compare them in a trade-by-trade within-person analysis. Thus, our study is not plagued by the endogeneity problems typically faced by studies on financial advice. We document that advisors hurt trading performance. However, they help to reduce some of the behavioral biases retail investors are subject to, but this does not overcompensate the negative performance effects of the bad stock recommendations.

Variation in the composition of the defaulted debt pool and credit conditions at the time of default generate time variation in the distribution of recoveries on defaulted debt, and the related distribution of losses on portfolios of credit sensitive debt. We quantify the importance of accounting for such time variation in out-of-sample comparisons of alternative approaches to forecasting recoveries or losses given default (LGD) on defaulted bonds. Using simulations of losses on defaultable bond portfolios, we show that conditional mixture models improve forecasts of expected credit losses through capturing time variation in the recovery/LGD distribution. However, the best forecasts of instrument or firm-level recovery/LGD do not necessarily provide the best forecasts of portfolio-level losses, as the latter depend on the association between errors in the default and recovery/LGD forecasts. Our systematic comparisons of cross-sectional and intertemporal forecasting performance are enabled by a fast maximum-likelihood approach to estimating conditional mixtures of distributions.

Previous work has documented a greater sensitivity of long-term government bond yields to fundamentals in euro area peripheral countries during the euro crisis, but we know little about the driver(s) of regime switches. Our estimates based on a panel smooth threshold regression model quantify and explain them: (1) investors have penalized a deterioration of fundamentals more strongly from 2010 to 2012; (2) the higher the bank credit risk, measured with the premium on credit derivatives, the higher the extra premium on fundamentals; (3) after ECB President Draghi’s speech in July 2012, it took 1 year to restore the noncrisis regime and suppress the extra premium.

We examine how investor attention changes when a firm adopts a modern news dissemination technology. We find that after continental European firms begin using an English-language electronic wire service to disseminate company news, they exhibit a stronger initial reaction to earnings surprises, a lower post earnings announcement stock price drift, and an increase in abnormal trading volume near earnings announcements, compared with when they disseminated their news in non-electronic format and in a continental European language. Our results hold for a sub-sample of firms for which the decision to use a wire service was likely exogenous. The effect of wire services on investor attention is due to the format of news (electronic and English-language), not to the increased speed of news transmission.

The dramatic increase in the percentage of mutual funds lending equities suggests that lending fees are an increasingly important source of income for investment advisors. We find that funds that lend equities underperform otherwise similar funds in spite of lending income. The effect of lending is concentrated in funds that cannot act on the short-selling signal due investment restrictions set by the fund family to diversify their fund offerings across styles. Our findings suggest that the family organization explains why fund managers lend, rather than sell, stocks with short selling demand.

Relatively little is known about the empirical performance of infinite-activity Lévy jump models, especially with non-affine volatility dynamics. We use extensive empirical data sets to study how infinite-activity Variance Gamma and Normal Inverse Gaussian (NIG) jumps with affine and non-affine volatility dynamics improve goodness of fit and option pricing performance. With Markov Chain Monte Carlo, different model specifications are estimated using the joint information of the S&P 500 index and the VIX. Our article provides clear evidence that a parsimonious non-affine model with NIG return jumps and a linear variance specification is particularly competitive, even during the recent crisis.

We study risk-taking behavior in tournaments where the optimal strategy is to take no risk. By keeping the optimal strategy constant, while varying the competitiveness in the tournaments, we are able to investigate the relationship between competitiveness and excessive risk-taking. In the most competitive tournament, less than 10% of the subjects played the optimal strategy in the first rounds. The majority playing dominated strategies increased their risk-taking during game of play. When we removed feedback about winner’s decisions each round, and when we reduced the number of contestants in the tournaments, subjects significantly reduced their risk-taking.

Using data from a large German brokerage, we find that individuals investing in passive exchange-traded funds (ETFs) do not improve their portfolio performance, even before transaction costs. Further analysis suggests that this is because of poor ETF timing as well as poor ETF selection (relative to the choice of low-cost, well-diversified ETFs). An exploration of investor heterogeneity shows that though investors who trade more have worse ETF timing, no groups of investors benefit by using ETFs, and no groups will lose by investing in low-cost, well-diversified ETFs.