Underperformance of Actively Managed Portfolios: Some Behavioral Insights

Abstract

Two glaring anomalies in investment management are apparent: (1) after fees, active portfolio managers do worse than market indices, and (2) clients continue to pay for services they don’t receive. The purpose of this paper is to offer explanations of these anomalies from a behavioral perspective. We explore some of the cognitive biases that perpetuate active management and subsequent underperformance, including herding, disposition, and endowment effects, as well as conservatism and status quo biases, overconfidence, and agency problems. Investors’ continued use of active managers despite persistent disappointing returns is attributed to being victims of framing effect, hot-hand fallacy, lack of knowledge as well as intimidation or insecurity, and status quo bias. We propose some ways that portfolio managers and investors could improve their decision making.     

Mass media and preferences for redistribution

This paper investigates how mass media potentially act on preferences for redistribution. Our hypothesis is that media contribute to shaping the value system of a person, which affects support for redistribution. A theoretical model is proposed which combines demand- and supply-driven media bias. On the demand side, the model considers two types of individuals: non-partisan, whose values are influenced by the media, and partisan, who have strong opinions not affected by the media. We assume that although partisan individuals prefer unbiased information, they hold beliefs that they like to be confirmed; therefore, they tend to consume media with an ideological position similar to theirs. On the supply side, we focus on interest groups’ pressure on media coverage. Our results suggest that the anti-equality lobby is willing to pay more than the competing lobby. Moreover, we show that media bias is a decreasing function of the advertising revenues and an increasing function of the relative weight of ideology vs pluralism in individuals’ demand for media. Adding a second media outlet reduces the likelihood of media bias but not its extent. Finally, if both lobbies are active, the two outlets’ ideological positions are polarised.     

The Home Bias in Equities and Distribution Costs

We show that incorporating distribution costs into a general equilibrium model of international portfolio choice helps to explain the home bias in international equity investment. Our model is able to replicate observed investment positions for a wide range of parameter values, even if agents have an incentive to hedge labor income risk by purchasing foreign equity. This is because the existence of a retail sector affects both the correlation of domestic returns with the domestic price level and the correlation between financial and non‐financial income.     

Overconfidence and optimism: The effect of national culture on capital structure

This study assesses whether variations in capital structure across countries can be explained by cultural traits. We analyze capital structure choices of firms in 42 countries and provide evidence that these decisions are affected by the degree of individualism of the country where the firm is located. We assert that managers in countries with high level of individualism exhibit strong optimism and overconfidence which cause an upward bias in perception of supportable debt ratios. Our results are robust to controlling for other firm- and country specific determinants of capital structure choices and to using alternative model specifications and estimation techniques.     

When do MNCs fail to learn from prior failure experience?

Do multinational corporations (MNCs) learn from their prior failures in international joint ventures (IJVs)? When does decision makers’ cognitive inability hinder MNCs from learning through their prior failure experiences? In the context of IJV survival in subsequent IJV entries, this study compares predictions made from two distinct theoretical perspectives, both of which belong to the behavioural school in strategy literature. According to the performance feedback perspective, MNCs may effectively learn from their prior failure experiences gained in familiar decision‐making contexts. On the other hand, according to the cognitive bias perspective, MNCs may not be able to effectively learn from their prior failure experiences if they inaccurately interpret the causes of their prior failures. The results provide partial support for the notion that MNC decision makers may not be able to effectively learn from their prior failures because of their cognitive biases. Copyright © 2015 ASAC. Published by John Wiley & Sons, Ltd.     

Kernel-type estimators for the distortion risk premiums of heavy-tailed distributions

A new kernel-type estimator for the distortion risk premiums of heavy-tailed losses is introduced. Using a least-squares approach, a bias-reduced version of this estimator is proposed. Under suitable assumptions, the asymptotic normality of the given estimators is established. A small simulation study, to illustrate the performance of our method, is carried out.     

Asymptotic comparison at optimal levels of reduced‐bias extreme value index estimators

In this article we are interested in the asymptotic comparison, at optimal levels, of a set of semi‐parametric reduced‐bias extreme value (EV) index estimators, valid for a wide class of heavy‐tailed models, underlying the available data. Again, as in the classical case, there is not any estimator that can always dominate the alternatives, but interesting clear‐cut patterns are found. Consequently, and in practice, a suitable choice of a set of EV index estimators will jointly enable us to better estimate the EV index γ, the primary parameter of extreme events.     

Sample bias in contingent valuation: A comparison of the correction methods

Abstract

This article compares various methods for correcting contingent valuation aggregate benefits when the sample is known to be biased. A sample is defined as the population, and response rates are simulated on the basis of a measure of salience. The simulated response rates suffer from nonresponse bias and selection bias. Coefficient and benefit estimates that result from weighting and self‐selection correction approaches are compared with the true coefficient and benefit estimates. Our results indicate that at both low and high response rates the standard approach leads to bias, and either correction approach will reduce the bias in coefficient and benefit estimates.     

二阶自回归效应有限时间最优相对保费稳健性

在汽车保险奖惩系统相对保费研究中,需要考虑随机效应的动态异质性。在假设随机效应是一个二阶自回归随机序列的条件下,李俊海、赵振英、常沙沙(2011)给出了有限时间下最优相对保费计算公式,但是没有研究该公式的稳健性。在相同条件下,可以证明该文保费公式的稳健性。