Institutional industry herding

We examine whether institutional investors follow each other into and out of the same industries. Our empirical results reveal strong evidence of institutional industry herding. The cross-sectional correlation between the fraction of institutional traders buying an industry this quarter and the fraction buying last quarter, for example, averages 40%. Additional tests suggest that correlated signals primarily drive institutional industry herding. Our results also provide empirical support for “style investing” models.     

The causes and consequences of venture capital stage financing

This paper examines the causes and consequences of venture capital (VC) stage financing. Using information about the physical location of an entrepreneurial firm and the geographic distance between the VC investor and the firm, I show that VC investors located farther away from an entrepreneurial firm tend to finance the firm using a larger number of financing rounds, shorter durations between successive rounds, and investing a smaller amount in each round. However, VC investors' propensity to stage is independent of whether the firm is located in a close-knit community. I also find that VC staging positively affects the entrepreneurial firm's propensity to go public, operating performance in the initial public offering (IPO) year, and post-IPO survival rate, but only if the firm is located far away from the VC investor. However, the effect of VC staging on entrepreneurial firm's performance is independent of whether it is located in a close-knit community. The findings are robust to a variety of alternative proximity measures, instrumental variables, and econometric approaches for dealing with endogeneity problems.     

Limited partner performance and the maturing of the private equity industry

We evaluate the performance of limited partners? (LPs?) private equity investments over time. Using a sample of 14,380 investments by 1,852 LPs in 1,250 buyout and venture capital funds started between 1991 and 2006, we find that the superior performance of endowment investors in the 1991–1998 period, documented by prior literature, is mostly due to their greater access to the top-performing venture capital partnerships. In the subsequent 1999–2006 period, endowments no longer outperform, no longer have greater access to funds that are likely to restrict access, and do not make better investment selections than other types of institutional investors. Nevertheless, all investor types? private equity investments continue to outperform public markets on average. We discuss how these results are consistent with the general maturing of the industry, as private equity has transitioned from a niche, poorly understood area to a ubiquitous part of institutional investors? portfolios.     

The dynamics of short-term mutual fund flows and returns: A time-series and cross-sectional investigation

This study analyzes the dynamics of daily mutual fund flows. A Vector Auto Regression (VAR) of flows and returns shows that the behavior of fund investors is more consistent with contrarian rather than momentum characteristics. Past fund flows have a positive impact on future fund returns, with the long-term information effect dominating the transient price-pressure effect. Seasonality in daily flows, such as day-of-week and day-of-month patterns are present, and daily flows are generally mean-reverting. Probit regressions indicate that fund investment objective, marketing policy and level of active management explain cross-sectional variation in the behavioral patterns displayed in daily flows. Our results are robust to the different methods of calculating daily flows based on whether or not the day-end TNA figures include the current-day’s flow. Throughout the analysis, we contrast the dynamics of daily flows with established results for monthly fund flows and find important differences between the two.     

Momentum or contrarian investment strategies: Evidence from Dutch institutional investors

This paper analyses investment strategies of three types of Dutch institutional investors - pension funds, life insurers and non-life insurers - over the period 1999-2005. We use balance sheet and cash flow data, including purchases and sales of equity, fixed income and real estate. We trace asset reallocations back to both active trading and revaluations and link investment decisions to firm-specific characteristics and macroeconomic variables. Overall, our results indicate that all three investor types tend to be contrarian traders, i.e. they buy past losers and sell past winners. Especially pension funds showed this behaviour in the most turbulent part of the sample - the crash of 2002 and early 2003 - implying that these institutions have a stabilising impact on financial markets when this is needed most. Life insurers tend to be contrarian traders when they have a high proportion of unit-linked policies, while non-life insurers are contrarian when they have a more risky business model.     

Research for sale: Determinants and consequences of paid-for analyst research

I examine the determinants and market impact of paid-for coverage using a hand-collected sample of paid-for reports over 1999–2006. More than five hundred publicly listed US companies paid for analyst coverage since 1999. Yet little is known about the informational consequences of this analyst research. Firms with greater uncertainty, weaker information environments, and low turnover are more likely to buy coverage as they have the most to gain from analyst coverage but are unlikely to attract sell-side analysts. Despite the inherent conflicts of interest, I find paid-for reports have information content for investors based on 2-day abnormal returns. After the initiation of coverage, companies experience an increase in institutional ownership, sell-side analyst following, and liquidity. In addition, the results are strongest for the fee-based research firm with ex ante policies that reduce potential conflicts of interest.     

Conflicts of interest in sell-side research and the moderating role of institutional investors

Because sell-side analysts are dependent on institutional investors for performance ratings and trading commissions, we argue that analysts are less likely to succumb to investment banking or brokerage pressure in stocks highly visible to institutional investors. Examining a comprehensive sample of analyst recommendations over the 1994–2000 period, we find that analysts’ recommendations relative to consensus are positively associated with investment banking relationships and brokerage pressure but negatively associated with the presence of institutional investor owners. The presence of institutional investors is also associated with more accurate earnings forecasts and more timely re-ratings following severe share price falls.     

Information immobility,industry concentration,and institutional investors’ performance

This paper examines foreign institutional investors’ portfolio allocation and performance in US securities. We test how information immobility, proxied by information barriers between the investors’ home markets and the US, influences portfolio strategies. Consistent with theoretical predictions, foreign institutional investors’ total investment in the US is negatively related to information immobility. Similarly, information immobility is a significant driver of portfolio under-diversification across industries. Industry concentration has declined over time, consistent with declining search costs. Industry-concentrated portfolios outperform more diversified portfolios for both foreign and US institutional investors. Concentration especially helps institutional investors with the easiest access to information.     

The alpha and omega of fund of hedge fund added value

In spite of a somewhat disappointing performance throughout the crisis, investors are showing interest in hedge funds. Still, funds of hedge funds keep on experiencing outflows. Can this phenomenon be explained by the failure of fund of hedge fund managers to deliver on their promise to add value through active management, or is it symptomatic of a move toward greater disintermediation in the hedge fund industry? We introduce a return-based attribution model allowing for a full decomposition of fund of hedge fund performance. The results of our empirical study suggest that funds of hedge funds are funds of funds like others. Strategic allocation turns out to be a crucial step in the investment process, in that it not only adds value over the long-term, but most importantly, it brings resilience precisely when investors need it the most. Fund picking, on the other hand, turns out to be a double-edged sword.     

A cultural explanation of the foreign bias in international asset allocation

This paper examines the foreign bias in international asset allocation. Following extant literature in behavioral finance, we argue that a society’s culture and the cultural distance between two markets play an important role in explaining the foreign bias. In particular, we hypothesize that the degree of a nation’s uncertainty avoidance affects the foreign bias (more uncertainty-avoiding countries allocate less to foreign markets), as does the degree of a country’s individualism (in individualistic countries performance is more directly attributed to a person and less to teams, causing these individuals to be more aggressive in their foreign asset allocations). We further expect that the degree of cultural distance between two countries affects the amount of money allocated to that market. Based on extensive robustness analyses, we find support for our hypotheses on the role of culture in international asset allocation.     

Quantifying the Costs of Investment Limits for Chilean Pension Funds*

Since the creation of the Chilean pension fund industry in 1981, pension fund administrators have not been free to choose their investment portfolios because of stringent regulation of investment limits. The diagnosis implicit with the imposition of limits was that the Chilean capital market was not deep, that there was an important demand for funds to finance the expansion of the productive sector and that, due to principal‐agent problems, protection for uninformed account holders was needed. As this regulation entails an inefficient combination of risk and return, this paper quantifies its costs.     

The index fund rationality paradox

Mutual funds that track the S&P 500 are popular because they have significantly lower costs than the average, actively managed equity fund. However, a measurable number of investors select index funds with excessive fees and uncompetitive returns. We call this observation the Index Fund Rationality Paradox because it conflicts with the belief that index fund investors are making a rational, low-cost choice in their ‘type of fund’ decision. In our analysis of this paradox, we find that both retail and institutional index investors tended to make better choices in recent years, but the cost of poor choices among both groups continues to be significant. In fact, we are able to identify an arguably naïve group of retail investors that seem to be unduly influenced by brokers and financial advisors. These investors are largely responsible for the remaining paradox.     

A dynamic model of active portfolio management with benchmark orientation

This paper studies optimal dynamic portfolios for investors concerned with the performance of their portfolios relative to a benchmark. Assuming that asset returns follow a multi-linear factor model similar to the structure of Ross (1976) [Ross, S., 1976. The arbitrage theory of the capital asset pricing model. Journal of Economic Theory, 13, 342–360] and that portfolio managers adopt a mean tracking error analysis similar to that of Roll (1992) [Roll, R., 1992. A mean/variance analysis of tracking error. Journal of Portfolio Management, 18, 13–22], we develop a dynamic model of active portfolio management maximizing risk adjusted excess return over a selected benchmark. Unlike the case of constant proportional portfolios for standard utility maximization, our optimal portfolio policy is state dependent, being a function of time to investment horizon, the return on the benchmark portfolio, and the return on the investment portfolio. We define a dynamic performance measure which relates portfolio’s return to its risk sensitivity. Abnormal returns at each point in time are quantified as the difference between the realized and the model-fitted returns. Risk sensitivity is estimated through a dynamic matching that minimizes the total fitted error of portfolio returns. For illustration, we analyze eight representative mutual funds in the U.S. market and show how this model can be used in practice.     

Do interbank customer relationships exist? And how did they function in the crisis? Learning from Italy

Using 11 years of monthly Italian bank-by-bank data, this paper correlates the bilateral amounts and the identity of each interbank borrower and lender with a long list of explanatory variables. The results show that interbank customer relationships, i.e. stable and strong relationships between pairs of borrowing and lending banks, do exist in Italy, that they persist over time, and that they functioned well during the crisis, enabling the healthier banks to provide and the troubled ones to receive funds.     

Analyst forecasts and European mutual fund trading

This paper addresses the questions whether European mutual fund managers rely on sell-side analyst information and whether this behavior impacts fund performance. Results show that mutual funds significantly increase (decrease) their holdings in stocks when any of the consensus forecast measures increases (decreases) within the quarter prior to the observation period. Furthermore, mutual fund managers primarily attribute high information value to consensus forecast revisions that contain positive information, that are based on a sufficiently high number of inputs, and with more unanimous inputs to the consensus. Finally, following sell-side research seems to be beneficial for mutual fund managers since our results show that stock trades that are in line with analyst forecast revisions significantly outperform trades that are contrary to analyst research.     

A study on long-run inefficiency levels of a panel dynamic cost frontier under the framework of forward-looking rational expectations

This paper aims to provide a theoretical underpinning of the dynamic efficiency model pioneered by [Ahn, S.C., Good, D.H., Sickles, R.C., 2000. Estimation of long-run inefficiency levels: A dynamic frontier approach. Econometric Reviews 19, 461–492]. In the context of a quadratic loss function this paper formulates a multi-period forward-looking rational expectations model on the evolution of the technical inefficiency level, which correctly produces a dynamic panel data model. The model is illustrated using panel data of 112 French banks. Encouraging evidence of superiority in favor of the model is reached. Substantial cost inefficiency prevails in this industry, where the constituent banks are characterized as having volatile adjustment speeds toward their long-run steady states. The sample banks exhibit increasing returns to scale and product-mix economies.     

Productivity and efficiency at large and community banks in the US: A Bayesian true random effects stochastic distance frontier analysis

This paper compares the productivity and efficiency of large banks and community banks in the United States over the period 1997–2006. This comparison is performed by estimating a true random effects stochastic distance frontier model—a model that is capable of disentangling unobserved heterogeneity from inefficiency—within a Bayesian framework. We find that failure to consider unobserved heterogeneity results in a misleading ranking of banks and mismeasured technical efficiency, productivity growth, and returns to scale. Our results show that, compared with community banks, large banks have experienced much higher productivity growth and higher levels of returns to scale. Our estimates of total factor productivity growth show a clear downward trend for both large and community banks, and our decomposition of the output-distance-function-based Divisia productivity index indicates that technical change is the driving force behind this trend.     

Incorporating risk input into the analysis of bank productivity: Application to the Taiwanese banking industry

This study reappraises banks’ productivity by using 42 Taiwanese banks during 1999–2007 as observations. It introduces an input-oriented generalized metafrontier Malmquist productivity index (I-gMMPI), while considering the latent effect of risk-taking behavior in the analytic framework. We learn that public and private banks should face separate short-term technological frontiers, while the econometric model considering risk input can portray banks’ operating frontiers better. Moreover, neglecting the influence of risk input would bring about distortions of efficiency, technology and TFP dynamic estimations for banks; meanwhile, the degree of scale economies would also be overestimated. The paper concludes that neglecting the risk-taking essence in bank performance evaluation is equal to allowing banks to barter risk-bearing as the term for further output growth. Consequently, the potential cost is that banks may excessively aggrandize their scales of business, implying the possibility of another financial crisis.     

Characteristic-based mean-variance portfolio choice

We study empirical mean-variance optimization when the portfolio weights are restricted to be direct functions of underlying stock characteristics such as value and momentum. The closed-form solution to the portfolio weights estimator shows that the portfolio problem in this case reduces to a mean-variance analysis of assets with returns given by single-characteristic strategies (e.g., momentum or value). In an empirical application to international stock return indexes, we show that the direct approach to estimating portfolio weights clearly beats a naive regression-based approach that models the conditional mean. However, a portfolio based on equal weights of the single-characteristic strategies performs about as well, and sometimes better, than the direct estimation approach, highlighting again the difficulties in beating the equal-weighted case in mean-variance analysis. The empirical results also highlight the potential for ‘stock-picking’ in international indexes using characteristics such as value and momentum with the characteristic-based portfolios obtaining Sharpe ratios approximately three times larger than the world market.     

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.