HEC Montréal

About: HEC Montréal is a education organization based out in Montreal, Quebec, Canada. It is known for research contribution in the topics: Vehicle routing problem & Corporate governance. The organization has 1221 authors who have published 5708 publications receiving 196862 citations. The organization is also known as: Ecole des Hautes Etudes Commerciales de Montreal & HEC Montreal.

An Attention-based Collaboration Framework for Multi-View Network Representation Learning

Abstract: Learning distributed node representations in networks has been attracting increasing attention recently due to its effectiveness in a variety of applications. Existing approaches usually study networks with a single type of proximity between nodes, which defines a single view of a network. However, in reality there usually exists multiple types of proximities between nodes, yielding networks with multiple views. This paper studies learning node representations for networks with multiple views, which aims to infer robust node representations across different views. We propose a multi-view representation learning approach, which promotes the collaboration of different views and lets them vote for the robust representations. During the voting process, an attention mechanism is introduced, which enables each node to focus on the most informative views. Experimental results on real-world networks show that the proposed approach outperforms existing state-of-the-art approaches for network representation learning with a single view and other competitive approaches with multiple views.

Do return prediction models add economic value

Abstract: We compare statistical and economic measures of forecasting performance across a large set of stock return prediction models with time-varying mean and volatility. We find that it is very common for models to produce higher out-of-sample mean squared forecast errors than a model assuming a constant equity premium, yet simultaneously add economic value when their forecasts are used to guide portfolio decisions. While there is generally a positive correlation between a return prediction model’s out-of-sample statistical performance and its ability to add economic value, the relation tends to be weak and only explains a small part of the cross-sectional variation in different models’ economic value.

Positioning person brands in established organizational fields

Abstract: This paper inductively develops an extension to brand positioning theory to understand how individuals seeking work in established organizational fields can effectively position themselves. It does so by analyzing qualitative data on the practices of people in one job category (fashion models) in an established organizational field (fashion), examining them through the lens of concepts adapted from work by Pierre Bourdieu. Four brand positioning practices are identified as relevant for models vying for work in the fashion field: crafting a portfolio, cultivating and demonstrating upward affiliations, complying with occupation-specific behavioral expectations, and conveying field-conforming tastes. Drawing on Bourdieu, we argue more generally that person brand positioning within established organizational fields happens through processes that help to portray a person as having field-specific social and cultural capital that allows them to “stand out,” while acquiring the habitus that allows them to comply with field- and occupation-specific expectations in order to “fit in.” Standing out and fitting in have parallels with—but are not identical to—the processes of establishing and reinforcing points of differentiation and points of parity for product brands. Our study implies that scholars interested in person branding should further develop theories that illuminate variations in brand positioning practices between products and persons. It also suggests that people building person brands should be sensitized to the valued forms of capital and normative expectations in their field that enable them to stand out while fitting in.