Prior work on option pricing falls mostly in two categories: it either relies on strong distributional or economical assumptions, or it tries to mimic the Black-Scholes formula through statistical models, trained to fit today's market price based on information available today. The work...

We introduce an asset-allocation framework based on the active control of the value-at- risk of the portfolio. Within this framework, we compare two paradigms for making the allocation using neural networks. The first one uses the network to make a forecast of asset behavior, in conjunction with...

Metric-based methods, which use unlabeled data to detect gross differences in behavior away from the training points, have recently been introduced for model selection, often yielding very significant improvements over alternatives (including cross-validation). We introduce extensions that take...

To deal with the overfitting problems that occur when there are not enough examples compared to the number of input variables in supervised learning, traditional approaches are weight decay and greedy variable selection. An alternative that has recently started to attract attention is to keep...

This report presents and proposes several methods to improve the capacity of generalization of the learning algorithms in a context of financial decision-making. These methods, overall, aim at controlling the capacity of the learning algorithms in order to limit the problem of the over-training,...

We provide a formulation of stochastic volatility (SV) based on Gaussian process regression (GPR). Forecasting volatility out-of-sample, both simulation and empirical analyses show that our GPR-based stochastic volatility (GPSV) model clearly outperforms SV and GARCH benchmarks, especially at...

This report is part of a research project conducted by the University of Sherbrooke and the Center for Interuniversity Research and Analysis on Organizations (CIRANO). Its main purpose is to propose a framework agreement to govern the negotiation and conclusion of Product Listing Agreements...

We observe that a Pigovian climate policy need not exact full payment of the social cost of carbon upon emission to yield optimal incentives. Following this insight, we propose the creation of a carbon liabilities market to address climate change. Each period, countries would be made liable for...

Prior studies disagree regarding the effectiveness of financial literacy programs, especially those offered in the workplace. To explain such measurement differences in evaluation and outcomes, we employ a stochastic life cycle model with endogenous financial knowledge accumulation to...

We consider changes in the distribution of hourly compensation in Canada using confidential census data and the recent National Household Survey over the last three decades. We find that the coefficient of variation of wages among full-time workers has almost doubled between 1980 and 2010. The...