Overconfidence, Financial Advice Seeking and Household Portfolio Under-Diversification

This paper examines the relationship between overconfidence and losses from under-diversification among Dutch investors. We find that a lack of proper portfolio diversification is positively associated with overconfidence. Part of this relationship is mediated through the lower propensity of overconfident individuals to hire a professional financial adviser. We use data from the 2005 wave of the DNB Dutch Household Survey that provides us with detailed portfolio data of 257 investors. We proxy for overconfidence by exploiting the difference between measured and self-assessed financial literacy, and use this proxy in a regression model (with and without mediation) to explain the difference between the actual households return and the return that could have been obtained by selecting a portfolio on the efficient frontier with equivalent risk. Our results contribute to the current discussion among policy makers on the role of financial advice and self-perceptions in household financial decision-making.

Buy Now and Pay (Dearly) Later: Unraveling Consumer Financial Spinning

In this challenging and innovative article, we propose a framework for the consumer behavior named “consumer financial spinning”. It occurs when borrowers-consumers of products with high financial stakes accumulate unsustainable debt and disconnect from their initial financial hierarchy of needs, wealth-related goals, and preferences over their household portfolio of assets. Three behaviors characterize daredevil consumers as they spin their wheel of misfortune, which together form a dark financial triangle: overconfidence, use of rationed rationality, and deceitfulness. We provokingly adapt some of the tenets of the Markowitz and Capital Asset Pricing models in the context of the predatory paradigm that consumer financial spinning entails and use modeling principles from the data percolation methodology. We partially test the proposed framework and show under what realistic conditions the relationship between expected returns and risk may depart from linearity. Our analysis and results appear timely and important because a better understanding of the psychological conditions that fuel intense speculation may restrain market frictions, which historically have kept reappearing and are likely to reoccur on a regular basis.

Incentive-Based Demand Response Framework for Residential Applications: Design and Real-Life Demonstration

In 2020, residential sector loads reached 25% of the overall electrical consumption in Europe and it is foreseen to stabilise at 29% by 2050. However, this relatively small increase demands, among others, changes in the energy consuming behaviour of households. To achieve this, Demand Response (DR) has been identified as a promising tool for unlocking the hidden flexibility potential of residential consumption. In this work, a holistic incentive-based DR framework aiming towards load shifting is proposed for residential applications. The proposed framework is characterised by several innovative features, mainly the formulation of the optimisation problem, which models user satisfaction and the economic operation of a distributed household portfolio, the customised load forecasting algorithm, which employs an adjusted Gradient Boosting Tree methodology with enhanced feature extraction and, finally, a disaggregation tool, which considers electrical features and time of use information. The DR framework is first validated through simulation to assess the business potential and is then deployed experimentally in real houses in Northern Greece. Results demonstrate that a mean 1.48% relative profit can be achieved via only load shifting of a maximum of three residential appliances, while the experimental application proves the effectiveness of the proposed algorithms in successfully managing the load curves of real houses with several residents. Correlations between market prices and the success of incentive-based load shifting DR programs show how wholesale pricing should be adjusted to ensure the viability of such DR schemes.

Transmission of Monetary Policy with Heterogeneity in Household Portfolios

This paper assesses the importance of heterogeneity in household portfolios for the transmission of monetary policy in a New Keynesian business cycle model with uninsurable income risk and assets with different liquidity. In this environment, monetary transmission works through investment, but redistribution lowers the elasticity of investment via two channels: (i) heterogeneity in marginal propensities to invest, and (ii) time variation in the liquidity premium. Monetary contractions redistribute to wealthy households who have high propensities to invest and a low marginal value of liquidity, thereby stabilizing investment. I provide empirical evidence for countercyclical liquidity premia and heterogeneity in household portfolio responses. (JEL E12, E32, E52, G11, G51)