Stockholding: Participation, location, and spillovers

This paper provides the first joint analysis of household stockholding participation, location among stockholding modes, and participation spillovers. Our model matches observed participation, conditional and unconditional, and asset location patterns. We find that financial sophistication correlates strongly only with direct stockholding and mutual fund participation, while social interactions mainly influence stockholding through retirement accounts. Whether retirement account owners include stocks in their accounts strongly depends on owner characteristics, which is not the case with mutual fund owners and investment in stock funds. Stockholding is more common among retirement account owners, but mainly because of owner characteristics rather than of any participation spillovers from retirement account ownership.     

Empirical test of the efficiency of the UK covered warrants market: Stochastic dominance and likelihood ratio test approach

This paper represents the first attempt to apply a stochastic dominance (SD) approach to examine the efficiency of the UK covered warrants market. Our empirical analyses reveal that neither covered warrants nor their underlying shares stochastically dominate the other, indicating the nonexistence of potential arbitrage gains in either wealth or utility, which implies market efficiency. To complement the SD results, we also employ a likelihood ratio (LR) test to examine information efficiency. A bootstrap methodology is developed to correct the size distortion of the LR test. Our findings show that UK covered warrant returns efficiently reflect the return information of the underlying shares.     

Rational and behavioral motives to trade: Evidence from reinvestment of dividends and tender offer proceeds

We provide evidence of households’ stock market trading in response to clearly identifiable positive cash flow shocks: dividend payments and tender offer proceeds. Transaction cost motives appear important, and there is some support for rational portfolio rebalancing and life cycle considerations as well. Households’ tendency to reinvest is low, even for large and unexpected dividend payments. This is consistent with a default choice bias, and is not due to dividend clientele effects. Reinvestment of tender offer proceeds is significantly higher, controlling for other important factors. This is consistent with mental accounting, i.e., cash flows from different sources are treated differently.     

Household portfolio choices,health status and health care systems: A cross-country analysis based on SHARE

Health risk is increasingly viewed as an important form of background risk that affects household portfolio decisions. However, its role might be mediated by the presence of a protective full-coverage national health service that could reduce households’ probability of incurring current and future out-of-pocket medical expenditures. We use SHARE data to study the influence of current health status and future health risk on the decision to hold risky assets, across ten European countries with different health systems, each offering a different degree of protection against out-of-pocket medical expenditures. We find robust empirical evidence that perceived health status matters more than objective health status and, consistent with the theory of background risk, health risk affects portfolio choices only in countries with less protective health care systems. Furthermore, portfolio decisions consistent with background risk models are observed only with respect to middle-aged and highly-educated investors.     

The determinants of household risky asset holdings: Australian evidence on background risk and other factors

We study the portfolio allocation decisions of Australian households using the relatively new Household, Income and Labour Dynamics in Australia (HILDA) Survey. We focus on household allocations to risky financial assets. Our empirical analysis considers a range of hypothesised determinants of these allocations. We find background risk factors posed by labor income uncertainty and health risk are important. Credit constraints and observed risk preferences play the expected role. A positive age gradient is identified for risky asset holdings and home-ownership is associated with greater risky asset holdings. A unifying theme for many of our empirical findings is the important role played by financial awareness and knowledge in determining risky asset holdings. Many non-stockholding households appear to lack the experience and financial literacy that might enable them to benefit from direct investment in stocks.     

Bank loan recovery rates: Measuring and nonparametric density estimation

In this paper we analyse a comprehensive database of 149,378 recovery rates on Italian bank loans. We investigate a new methodology to compute the recovery percentage that we suggest to consider as a mixed random variable. To estimate the probability density function of such a mixture, we propose the mixture of beta kernels estimator and we analyse its performance by Monte Carlo simulations. The application of these proposals to the Bank of Italy’s data shows that, even if we remove the endpoints from the support of the recovery rate, the density function estimate is far from being a beta function.     

Payout yield,risk, and mispricing: A Bayesian analysis

We develop a simple parametric model in which hypotheses about predictability, mispricing, and the risk-return tradeoff can be evaluated simultaneously, while allowing for time variation in both risk and expected return. Most of the return predictability based on aggregate payout yield is unrelated to market risk. We consider a range of Bayesian prior beliefs about the risk-return tradeoff and the extent to which predictability is driven by mispricing. The impact of these beliefs on an investor's certainty-equivalent return when choosing between a market index and riskless T-bills is economically significant, in both ex ante and out-of-sample analyses.     

Nonparametric efficiency estimation in stochastic environments: Noise-to-signal estimation,finite sample performance and hypothesis testing

This study considers the issues of noise-to-signal estimation, finite sample performance and hypothesis testing for a new nonparametric and stochastic efficiency estimation technique. We apply the technique for analyzing the efficiency of European banks from various regions and with various specializations. The technique seems well suited for this application area because banking inputs and outputs generally are measured with error, the banking production technology is not well-defined and large banking data sets such as BankScope allow for a nonparametric approach.     

Identifying the interaction between stock market returns and trading flows of investor types: Looking into the day using daily data

This paper introduces a new method for identifying the simultaneity between returns and trading flows. The proposed method enables us to identify the intraday interaction using daily data, and provides measures of the information content of trading flows, and their instantaneous response to public information and information revealed by market prices. Applying this method to daily data on investor types from the Korea Stock Exchange, we find significant intraday bi-directional interaction between flows and returns and their latent common drivers, altering some of the results of the previous literature based on Cholesky assumptions. Thus, we obtain a number of new insights concerning the behavior of investor types.     

Mutual Fund Performance: Measurement and Evidence1

The paper provides a critical review of empirical findings on the performance of mutual funds, mainly for the US and UK. Ex‐post, there are around 0‐5% of top performing UK and US equity mutual funds with truly positive‐alpha performance (after fees) and around 20% of funds that have truly poor alpha performance, with about 75% of active funds which are effectively zero‐alpha funds. Key drivers of relative performance are, load fees, expenses and turnover. There is little evidence of successful market timing. Evidence suggests past winner funds persist, when rebalancing is frequent (i.e., less than one year) and when using sophisticated sorting rules (e.g., Bayesian approaches) ‐ but transactions costs (load and advisory fees) imply that economic gains to investors from winner funds may be marginal. The US evidence clearly supports the view that past loser funds remain losers. Broadly speaking results for bond mutual funds are similar to those for equity funds. Sensible advice for most investors would be to hold low cost index funds and avoid holding past ‘active’ loser funds. Only sophisticated investors should pursue an active ex‐ante investment strategy of trying to pick winners ‐ and then with much caution.     

Institutional trading, information production, and the choice between spin-offs, carve-outs, and tracking stock issues

We analyze a firm's choice between spin-offs, equity carve-outs, and tracking stock issues and the role of institutional investors in corporate restructuring. We model a firm with two divisions. Insiders have private information about firm value and face an equity market with retail and institutional investors. We show that restructuring increases information production by institutional investors (relative to that about the consolidated firm): the highest increase in information production arises from spin-offs, the next highest from carve-outs, and the lowest from tracking stock issues. Insiders with the most favorable private information implement spin-offs; those with less favorable private information implement carve-outs; those with even less favorable private information implement tracking stock issues; and those with unfavorable private information remain consolidated. We explain the positive announcement effect and increase in analyst coverage associated with all three forms of restructuring. Our model also generates a number of novel testable predictions for firms' choice between spin-offs, carve-outs, and tracking stock issues, and for institutional trading around these three forms of restructuring.     

Efficiency,technical change,and returns to scale in large US banks: Panel data evidence from an output distance function satisfying theoretical regularity

This paper provides parametric estimates of technical change, efficiency change, economies of scale, and total factor productivity growth for large banks (those with assets in excess of $1 billion) in the United States, over the period from 2000 to 2005. This is done by estimating an output distance function subject to theoretical regularity within a Bayesian framework. We find that failure to incorporate theoretical regularity conditions results in mismeasured shadow revenue and/or cost shares, which in turn leads to perverse conclusions regarding productivity growth. Our results from the regularity-constrained model show that total factor productivity of the large US banks grew at an average rate of 1.98% over the sample period. However, our estimates also show a clear downward trend in the growth rate of total factor productivity and our decomposition of the primal Divisia total factor productivity growth index into its three components – technical change, efficiency change, and economies of scale – indicates that technical change is the driving force behind this decline.     

Caught on tape: Institutional trading,stock returns,and earnings announcements

Many questions about institutional trading can only be answered if one tracks high-frequency changes in institutional ownership. In the United States, however, institutions are only required to report their ownership quarterly in 13-F filings. We infer daily institutional trading behavior from the “tape”, the Transactions and Quotes database of the New York Stock Exchange, using a sophisticated method that best predicts quarterly 13-F data from trades of different sizes. We find that daily institutional trades are highly persistent and respond positively to recent daily returns but negatively to longer-term past daily returns. Institutional trades, particularly sells, appear to generate short-term losses—possibly reflecting institutional demand for liquidity—but longer-term profits. One source of these profits is that institutions anticipate both earnings surprises and post-earnings announcement drift. These results are different from those obtained using a standard size cutoff rule for institutional trades.     

Selling winners, holding losers: Effect on fund flows and survival of disposition-prone mutual funds

Recent studies suggest that presence of a disposition effect in a large subset of investors can create stock mispricings, which has serious implications for market efficiency. We examine whether US equity mutual funds are disposition-prone, how that effect influences performance, investor flows and fund survival, and whether the disposition orientation of mutual funds affects stock prices in a sustained manner.We find that about 30% of all funds exhibit some degree of disposition behavior and that such funds underperform funds that are not disposition-prone by 4-6% per year. Moreover, after controlling for performance, tax overhang and other factors that potentially affect flows, disposition-prone funds attract significantly smaller flows than other funds. The results suggest that mutual fund investors are smart enough to minimize investment in disposition-prone funds. Consequently, disposition-prone funds have significantly higher rates of failure than other funds, thereby reducing the impact of such trading behavior on security prices.     

Style investing,comovement and return predictability

Barberis and Shleifer (2003) argue that style investing generates momentum and reversals in style and individual asset returns, as well as comovement between individual assets and their styles. Consistent with these predictions, in some specifications, past style returns help explain future stock returns after controlling for size, book-to-market and past stock returns. We also use comovement to identify style investing and assess its impact on momentum. High comovement momentum portfolios have significantly higher future returns than low comovement momentum portfolios. Overall, our results suggest that style investing plays a role in the predictability of asset returns.     

IPO first‐day returns: Skewness preference,investor sentiment and uncertainty underlying factors

In this paper, we investigate the initial public offering (IPO) first-day returns. Our focus is to examine the irrational component of the agent behavior towards IPO lotteries. Based on 234 French IPOs performed between 2002 and 2012, we find that IPOs with high initial returns have higher idiosyncratic skewness, turnover and momentum. This finding provides empirical evidence for investors' preference for stocks with lottery-like features and investor sentiment. In addition, we show that the skewness preference and the investor sentiment effect are stronger during periods of favorable market conditions. Our results are robust to the integration of uncertainty underlying factors.     

Competition from Large, Multimarket Firms and the Performance of Small, Single-Market Firms: Evidence from the Banking Industry

We offer and test two competing hypotheses for the consolidation trend in banking using U.S. banking industry data over the period 1982–2000. Under the efficiency hypothesis , technological progress improved the performance of large, multimarket firms relative to small, single-market firms, whereas under the hubris hypothesis , consolidation was largely driven by corporate hubris. Our results are consistent with an empirical dominance of the efficiency hypothesis over the hubris hypothesis—on net, technological progress allowed large, multimarket banks to compete more effectively against small, single-market banks in the 1990s than in the 1980s. We also isolate the extent to which technological progress occurred through scale versus geographic effects and how they affected the performance of small, single-market banks through revenues versus costs. The results may shed light as well on some of the research and policy issues related to community banking.     

Productivity and efficiency analysis of Shinkin banks: Evidence from bootstrap and Bayesian approaches

This paper analyzes the productivity and efficiency of Shinkin banks and the various prefectures in Japan, over the period from 2000 to 2006. We obtain estimates of efficiency growth and productivity growth, using the bootstrapped Malmquist index, and estimates of efficiency using the Bayesian distance frontier approach. We confirm that the efficiency growth and productivity growth of Shinkin banks did not improve significantly over the period of this study. In addition, we show that the efficiency of Shinkin banks is homogenous, with little variation across the banks analyzed. Methodologically, we also prove that a failure to impose theoretical regularity on the distance function could lead to false conclusions about the average efficiency or efficiency ranking of Shinkin banks. The study also includes an analysis of the correlates of productivity and efficiency growth, and provides efficiency and productivity estimates of the prefectures in which the banks are located.     

Arrogance can be a virtue: Overconfidence,information acquisition,and market efficiency

In behavioral finance, overconfidence has been established as a prevalent psychological bias, which can make markets less efficient by creating mispricing in the form of excess volatility and return predictability. In this paper, we develop a model in which overconfidence causes investors to overinvest in information acquisition when this information could improve market efficiency by driving prices closer to true values. We study the impact of overconfidence on mispricing and information acquisition, comparing their net effect on prices. We derive several novel implications. First, overconfidence generally improves market pricing provided the level of overconfidence is not too high. Pricing can also improve even when overconfidence is arbitrarily high, depending on the amount of private information acquired relative to publicly available information.