Roy Kouwenberg

Bio: Roy Kouwenberg is an academic researcher from Erasmus University Rotterdam. The author has contributed to research in topics: Portfolio & Stock market. The author has an hindex of 27, co-authored 90 publications receiving 2560 citations. Previous affiliations of Roy Kouwenberg include Asian Institute of Technology & Mahidol University.

Optimal portfolio choice under loss aversion

Abstract: This paper analyzes the optimal investment strategy for loss averse investors, assuming a complete market and general Ito processes for the asset prices. The loss-averse investor follows a partial portfolio insurance strategy. When the investor's planning horizon is short (less than 5 years), he or she considerably reduces the initial portfolio weight of stocks compared to an investor with smooth power utility. The empirical section of the paper estimates the level of loss aversion implied by historical U.S. stock market data, using a representative agent model. We find that loss aversion and risk aversion cannot be disentangled empirically.

Optimal Portfolio Choice Under Loss Aversion

Abstract: This paper analyses the optimal investment strategy for loss averse investors, assuming a complete market and general Ito processes for the asset prices. The loss averse investor follows a partial portfolio insurance strategy. When the planning horizon of the investor is short, i.e. less than 5 years, he or she considerably reduces the initial portfolio weight of stocks compared to an investor with smooth power utility. Consistent with popular investment advice, the initial portfolio weight of stocks of a loss averse investor typically increases with the investment horizon. The empirical section of the paper estimates the level of loss aversion implied by historical US stock market data, using a representative agent model. We find that loss aversion and risk aversion cannot be disentangled and provide a similar fit to the data.

Estimation and Inference in Econometrics

Abstract: Offering a unifying theoretical perspective not readily available in any other text, this innovative guide to econometrics uses simple geometrical arguments to develop students' intuitive understanding of basic and advanced topics, emphasizing throughout the practical applications of modern theory and nonlinear techniques of estimation. One theme of the text is the use of artificial regressions for estimation, reference, and specification testing of nonlinear models, including diagnostic tests for parameter constancy, serial correlation, heteroscedasticity, and other types of mis-specification. Explaining how estimates can be obtained and tests can be carried out, the authors go beyond a mere algebraic description to one that can be easily translated into the commands of a standard econometric software package. Covering an unprecedented range of problems with a consistent emphasis on those that arise in applied work, this accessible and coherent guide to the most vital topics in econometrics today is indispensable for advanced students of econometrics and students of statistics interested in regression and related topics. It will also suit practising econometricians who want to update their skills. Flexibly designed to accommodate a variety of course levels, it offers both complete coverage of the basic material and separate chapters on areas of specialized interest.

Trusting the stock market

Abstract: We study the effect that a general lack of trust can have on stock market participation. In deciding whether to buy stocks, investors factor in the risk of being cheated. The perception of this risk is a function of the objective characteristics of the stocks and the subjective characteristics of the investor. Less trusting individuals are less likely to buy stock and, conditional on buying stock, they will buy less. In Dutch and Italian micro data, as well as in cross-country data, we find evidence consistent with lack of trust being an important factor in explaining the limited participation puzzle. THE DECISION TO INVEST IN stocks requires not only an assessment of the risk‐ return trade-off given the existing data, but also an act of faith (trust) that the data in our possession are reliable and that the overall system is fair. Episodes like the collapse of Enron may change not only the distribution of expected payoffs, but also the fundamental trust in the system that delivers those payoffs. Most of us will not enter a three-card game played on the street, even after observing a lot of rounds (and thus getting an estimate of the “true” distribution of payoffs). The reason is that we do not trust the fairness of the game (and the person playing it). In this paper, we claim that for many people, especially people unfamiliar with finance, the stock market is not intrinsically different from the three-card game. They need to have trust in the fairness of the game and in the reliability of the numbers to invest in it. We focus on trust to explain differences in stock market participation across individuals and across countries. We define trust as the subjective probability individuals attribute to the possibility of being cheated. This subjective probability is partly based on objective

Financial Literacy, Financial Education, and Downstream Financial Behaviors

Abstract: Policy makers have embraced financial education as a necessary antidote to the increasing complexity of consumers' financial decisions over the last generation. We conduct a meta-analysis of the relationship of financial literacy and of financial education to financial behaviors in 168 papers covering 201 prior studies. We find that interventions to improve financial literacy explain only 0.1% of the variance in financial behaviors studied, with weaker effects in low-income samples. Like other education, financial education decays over time; even large interventions with many hours of instruction have negligible effects on behavior 20 months or more from the time of intervention. Correlational studies that measure financial literacy find stronger associations with financial behaviors. We conduct three empirical studies, and we find that the partial effects of financial literacy diminish dramatically when one controls for psychological traits that have been omitted in prior research or when one uses an instrument for financial literacy to control for omitted variables. Financial education as studied to date has serious limitations that have been masked by the apparently larger effects in correlational studies. We envisage a reduced role for financial education that is not elaborated or acted upon soon afterward. We suggest a real but narrower role for “just-in-time” financial education tied to specific behaviors it intends to help. We conclude with a discussion of the characteristics of behaviors that might affect the policy maker's mix of financial education, choice architecture, and regulation as tools to help consumer financial behavior. This paper was accepted by Uri Gneezy, behavioral economics.