Risk attitude and perception is reflected in brain reactions during RPID experiments. Given the fMRI data, an important research question is how to detect risk related regions and to investigate the relation between risk preferences and brain activity. Conventional methods are often insensitive...

Decision making can be a complex process requiring the integration of several attributes of choice options. Understanding the neural processes underlying (uncertain) investment decisions is an important topic in neuroeconomics. We analyzed functional magnetic resonance imaging (fMRI) data from...

We propose a portfolio selection model based on a class of monotone preferences that coincide with mean-variance preferences on their domain of monotonicity, but differ where mean-variance preferences fail to be monotone and are therefore not economically meaningful. The functional associated to...

This paper studies the potential impact on securities settlement systems (SSSs) of a major market disruption, caused by the default of the largest player. A multi-period, multi-security model with intraday credit is used to simulate direct and second-round settlement failures triggered by the...

To what extent can life protection account for observed diversities in age-specific life expectancies across individuals and over time? We provide answers via calibrated simulations of a life-cycle model where life's end is stochastic, and age-specific mortality hazards are ndogenous outcomes of...

The economy is heterogeneous, complex, dynamic, interdependent and interactive. This new market paradigm developed for analyzing economic behaviors gives a holistic analysis of the system by employing the Behavioral Systems Approach, Cobweb Theorem and Evolutionary Game Theory in obtaining the...

In this paper we study the integration properties of some of the main macroeconomic series of Argentina. We present a robust methodology for the analysis of persistence of shocks affecting macroeconomic series and its consequences on the modeling of the cyclical and permanent components. Our...

Consider the problem of maximizing the revenue from selling a number of goods to a single buyer. We show that, unlike the case of one good, when the buyer's values for the goods increase the seller's maximal revenue may well decrease. We then identify two circumstances where monotonicity does...

I study how boundedly rational agents can learn the solution to an infinite horizon optimal consumption problem under uncertainty and liquidity constraints. I present conditions for the existence of an optimal linear consumption rule and characterize it. Additionally, I use an empirically...

I study how boundedly rational agents can learn a “good” solution to an infinite horizon optimal consumption problem under uncertainty and liquidity constraints. Using an empirically plausible theory of learning I propose a class of adaptive learning algorithms that agents might use to...