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Portfolio decisions and brain reactions via the CEAD method

Majer, Piotr; Mohr, Peter N. C.; Heekeren, Hauke R.; … - 2014

functional magnetic resonance imaging (fMRI) data from an investment decision (ID) study for ID-related effects. We propose a new … choice options and changes in fMRI signal in the anterior insula (aINS) and DMPFC. Additionally, individual differences in …

Persistent link: https://www.econbiz.de/10010427044

Risk patterns and correlated brain activities: Multidimensional statistical analysis of fMRI data with application to risk patterns

Myšičková, Alena; Song, Song; Majer, Piotr; Mohr, … - 2011

neuroeconomics. Here, we reanalyze functional magnetic resonance imaging (fMRI) data on 17 subjects which were exposed to an …-oxygen-level dependent (BOLD) fMRI signals. Our goal is to capture the dynamic behavior of specific brain regions of all subjects in this … subjects' decision behavior. Keywords: risk, risk attitude, fMRI, decision making, medial orbifrontal cortex, semiparametric …

Persistent link: https://www.econbiz.de/10010319198

The aging investor: Insights from neuroeconomics

Mohr, Peter N. C.; Heekeren, Hauke R. - 2012

Individuals in most industrialized countries have to make investment decisions throughout their adult life span to save for their retirement. These decisions substantially affect their living standards in old age. Research on cognitive aging has already demonstrated several changes in cognitive...

Persistent link: https://www.econbiz.de/10010318792

Principal component analysis in an asymmetric norm

Tran, Ngoc Mai; Burdejová, Petra; Osipenko, Maria; … - 2016

algorithms to a Chinese weather dataset and fMRI data from an investment decision study. …

Persistent link: https://www.econbiz.de/10011580438

High dimensional nonstationary time series modelling with generalized dynamic semiparametric factor model

Song, Song; Härdle, Wolfgang Karl; Ritov, Ya'acov - 2010

correlated brain activities (neuro-economics related) using fMRI data, where a panel version model is also presented. …

Persistent link: https://www.econbiz.de/10010281515

Multivariate factorisable sparse asymmetric least squares regression

Chao, Shih-Kang; Härdle, Wolfgang Karl; Huang, Chen - 2016

technique is applied on fMRI data to see if individual's risk perception can be recovered by brain activities. Results show that …

Persistent link: https://www.econbiz.de/10011663440

Smooth principal component analysis for high dimensional data

Li, Yingxing; Härdle, Wolfgang Karl; Huang, Chen - 2017

This paper considers smooth principle component analysis for high dimensional data with very large dimensional observations p and moderate number of individuals N. Our setting is similar to traditional PCA, but we assume the factors are smooth and design a new approach to estimate them. By...

Persistent link: https://www.econbiz.de/10011725391

Factorisable sparse tail event curves with expectiles

Härdle, Wolfgang Karl; Huang, Chen; Chao, Shih-Kang - 2016

Persistent link: https://www.econbiz.de/10011531894

Optimal sticky prices under rational inattention

Maćkowiak, Bartosz; Wiederholt, Mirko - 2005

In the data, individual prices change frequently and by large amounts. In standard sticky price models, frequent and large price changes imply a fast response of the aggregate price level to nominal shocks. This paper presents a model in which price setting firms optimally decide what to...

Persistent link: https://www.econbiz.de/10010275786

Pollution permits, strategic trading and dynamic technology adoption

Moreno-Bromberg, Santiago; Taschini, Luca - 2011

This paper analyzes the dynamic incentives for technology adoption under a transferable permits system, which allows for strategic trading on the permit market. Initially, firms can both invest in low-emitting production technologies and trade permits. In the model, technology adoption and...

Persistent link: https://www.econbiz.de/10010281524