arXiv research

Deep learning model classifies Chilean banknotes.

This paper contains a feasibility study of deep neural networks for the classification of Euro banknotes with respect to requirements of central banks on the ATM and high speed sorting industry. Instead of concentrating on the accuracy for a large number of classes as in the famous ImageNet Challenge we focus thus on c…

Income tax systems with pass-through entities transfer a firm's incomes to the shareholders, which are taxed individually. In 2014, a Chilean tax reform introduced this type of entity and changed to an accrual basis that distributes incomes (but not losses) to shareholders. A crucial step for the Chilean taxation autho…

In this paper I show how reliable estimates of the Value of a Statistical Life (VSL) can be obtained using cross sectional data using Garen's instrumental variable (IV) approach. The increase in the range confidence intervals due to the IV setup can be reduced by a factor of 3 by using a proxy to risk attitude. In orde…

This review examines TDFs in Chile's pension reform, recommending dynamic glide paths and diversified benchmarks.

Paper examines trade/no trade patterns in illiquid stocks, highlighting effects of varying zero returns probabilities.

A declining CVaR glidepath framework for TDF design with Chilean pension system application

The paper reveals the hidden costs of digitizing commodity money and proposes a new stable-coin system.

In the k-nearest neighbor algorithm (k-NN), the determination of classes for test instances is usually performed via a majority vote system, which may ignore the similarities among data. In this research, the researcher proposes an approach to fine-tune the selection of neighbors to be passed to the majority vote syste…

Deep learning predicts readmissions from less structured data.

New method for explaining neural network activation functions.