Fidelity Investments | EPFL Graph Search

Fidelity Investments ou Fidelity Management and Research (FMR LLC) est une multinationale spécialisée dans la gestion d'actifs pour compte de tiers, l'un des leaders mondiaux en son domaine. FMR est dirigée par Abigail Johnson. Son siège social est situé à Boston. est son gestionnaire associé ayant la plus grande notoriété. Histoire

1946 : création de Fidelity Management and Research par à Boston, États-Unis
1969 : création de Fidelity International Limited (FIL) qui assure le développement international de Fidelity
1990 : lancement de la Sicav de droit luxembourgeois Fidelity Funds
1994 : ouverture du bureau de Paris (Société de gestion de portefeuille)
2001 : lancement de Fidelity Sicav - Fidelity Génération, premier OPCVM de droit français.
2003 : rachat d'HR Access Solutions détenu par IBM
2006 : lancement de Fidelity Vie un contrat d'assurance-vie haut de gamme accessible à tous. *2015 : rachat de Colt Technology Service
En 2018, Fidelity a lancé

Essays on the Role of Policy and Venture Financing in Clean Technology Innovation

Matthias David van den Heuvel

This thesis aims to provide novel analyses and data that improve the understanding of the financing of investments in clean technologies. In particular, this thesis explores the role that private and public actors play in supporting young innovative firms. The first chapter of this thesis exploits original data on about 1000 startups that have participated in Venture Kick, the leading Swiss venture competition. We study the circumstances under which venture competitions' certification and cash prize impact startups' future survival and funding prospects. On the one hand, we observe that the certification only has a significant effect on startups whose quality can be more objectively assessed by experts (e.g., hard sciences startups). On the other hand, we find that the competition's cash prize only extends the runway of startups with low running costs (e.g., internet & mobile). These results highlight industry-specific heterogeneity in the effect of early-stage startup support, which bears implications for the design of entrepreneurial programs.The second chapter takes a step back and looks into the role of two prominent actors involved in financing new clean technologies: venture capital (VC) and governments. This essay examines the reasons behind the failure of the VC boom in clean energy startups in the early 2010s. We find that lackluster demand for clean energy products and a lower potential for outsized returns make clean energy firms less attractive to VC than startups in ICT or biotech. Conversely, characteristics such as high-capital intensity or long development timeframe seem to be less important. These findings suggest that the most effective way for governments to improve the attractiveness of early-stage clean energy investments is to implement demand-side policies rather than to provide direct financial support. With demand-side policies in place, governments could then try to plug the remaining funding gaps themselves by targeting startups with limited potential for outsized returns.In the second half of this thesis, the focus shifts onto governments' environmental policies and how they affect private investments in clean technologies. In the third chapter, we develop novel news-based indices of US environmental policy using text-mining techniques. We show that our general environmental policy index and sub-topic indices (e.g., renewables or climate negotiation) meaningfully capture the evolution of environmental policy in the United States. Using these indices, we find that greater salience of environmental policy is associated with increased VC investments in clean technologies and reduced stock returns for high-emissions firms. In the fourth and last chapter, we study the impact of policy uncertainty on private investment decisions. To do so, we construct a novel index of environmental policy uncertainty (EnvPU). This index reveals that uncertainty is pervasive in the history of environmental policy and is often synchronized with election cycles. We find that increases in our EnvPU index are associated with lower VC investments in cleantech startups and higher volatility in green firms' stocks. The findings from Chapters 3 and 4 suggest that, while the increased salience of environmental policy can boost investments, policymakers should ensure that their actions do not exacerbate policy uncertainty and hinder investments towards a low-carbon economy.

EPFL2022

Information Technology Planning Framework for Large-Scale Civil Infrastructure Projects

Thomas Alois Weber

New information technology developments continue to have a significant impact on large-scale architectural/engineering/construction (A/E/C) projects. However, the issue of whether A/E/C organizations are receiving adequate returns from their information technology (IT) investments remains an important managerial concern. Earlier work on financial models has concentrated on firm-wide strategies for maximizing the return of investments. Traditional financial models for measuring the value of information technology investments typically work well for static business strategies and single business scenarios. These models are inappropriate for large-scale A/E/C projects, which typically have multiple firms participating over a fixed project life cycle and proportionately splitting the cumulative benefits accrued over the project life cycle after their involvement on the project. To resolve these issues, the paper proposes a strategic planning framework based on IT diffusion for maximizing the value of investments in strategic capabilities. The essential steps in the strategic planning framework include environmental scan, internal scrutiny, IT diffusion analysis, and IT investment modeling. To demonstrate the framework and an integrated approach to IT investment planning, the paper presents a case study based on a large-scale A/E/C project.

1999

A Framework Based on Predictive Maintenance, Zero-Defect Manufacturing and Scheduling Under Uncertainty Tools, to Optimize Production Capacities of High-End Quality Products

Dimitrios Kyritsis

Nowadays exploiting the full potential of the humongous amount of data that manufactures can produce with their production means is a real challenge. Moreover, increasing production capabilities without large investments is a recurring objective for them. To reach this objective, many different strategies are in development i.e. zero-defect manufacturing, predictive maintenance and scheduling algorithms which deal with high uncertainty. In the end, they will all be implemented in industry. Their joined implementation in the industry is however missing a coherent framework that would allow to merge those different solutions. This paper proposes an approach that combines those three deeply interconnected technologies to bring a clean solution that significantly improves production capacity. This paper present the approach giving an idea of the possibilities and opportunities of the presented solution.

SPRINGER-VERLAG BERLIN2018

Essays on the Role of Policy and Venture Financing in Clean Technology Innovation

Matthias David van den Heuvel

EPFL2022