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Research Project
Center for Advanced Studies in Management and Economics
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Publications
From wars to waves: geopolitical risks and environmental investment behaviour
Publication . Gabriel, Vítor; Dionísio, Andreia; Almeida, Dora; Ferreira, Paulo
This study investigates the impact of geopolitical risk (GPR) on
sustainable investments, focusing on five global environmental
indices and two global GPR indices. Using Corrected Dynamic
Conditional Correlation Generalised Autoregressive Conditional
Heteroskedasticity (cDCC-GARCH) model and Diebold and
Yilmaz’s spillover analysis, we use daily data from January 2009 to
October 2022, covering various market phases, including the
European sovereign debt crisis, the COVID-19 pandemic, and the
war in Ukraine. Results from the cDCC-GARCH model reveal high
dynamic conditional correlations. During periods of high volatility,
environmental indices displayed simultaneous and more intense
responses, limiting investment diversification alternatives when
considering only the environmental side. Diebold and Yilmaz’s
static analysis demonstrates that environmental segments are
more influenced by systemic shocks than specific causes, with
GPR’s influence proving relatively weak. In the dynamic analysis,
the spillover effects of GPR in environmental segments intensified
during the pandemic crisis and the invasion of Ukraine, affecting
market conditions.
When two banks fall, how do markets react?
Publication . Almeida, Dora; Dionísio, Andreia; Ferreira, Paulo Jorge Silveira
The most recent fall of the Silicon Valley (SVB) and Credit Suisse (CS) banks increased the
fear of a worldwide banking crisis. We analyse the impacts of their fall on five financial indices.
We apply detrended fluctuation analysis, static and with sliding windows. We find a higher
impact of the SVB fall on the efficiency dynamic of the studied indices, which revealed fluctuating efficiency and a loss of efficiency during the period of the falls. The fall of both banks
contributed to some persistence in stock indices returns. The Nasdaq and STOXX Europe 600
Banks are the most and the least efficient indices, respectively. Despite the apparent evidence
of inefficiency, it might not necessarily mean a capacity for abnormal profits.
A Three-Level Decision Support Approach Based on Multi-objective Simulation-Optimization and DEA: A Supply Chain Application
Publication . Luís Pedro Gomes; António Vieira; Rui Fragoso; Almeida, Dora; Luís Coelho; José Maia Neves
Decision-making in multi-objective problems is a complex problem with
several approaches existing in the literature. Many such approaches typically combine simulation and optimization methods to achieve a robust tool capable of providing useful information to decision-makers. While simulation helps decision-makers
to test alternative scenarios and allows uncertainty to be considered, optimization
enables them to find the best alternatives for specific conditions. This paper proposes an alternative approach consisting of three levels, wherein we use simulation
to model complex scenarios, simulation-optimization to identify the scenarios of the
Pareto-front, and Data Envelopment Analysis to identify the most efficient solutions,
including those not belonging to the Pareto-front, thereby exploiting the benefits of
efficiency analysis and simulation-optimization. This can be useful when decisionmakers decide to consider scenarios that, while not optimum, are efficient for their
decision-making profile. To test our approach, we applied it to a supply chain design
problem. Our results show how our approach can be used to analyze a given system
from three different perspectives and that some of the solutions, while not optimum,
are efficient. In traditional approaches, such scenarios could be overlooked, despite
their efficiency for specific decision-making profiles.
Impact of the COVID-19 Pandemic on Cryptocurrency Markets: A DCCA Analysis
Publication . Almeida, Dora; Dionísio, Andreia; Ferreira, Paulo Jorge Silveira; Isabel Vieira
Extraordinary events, regardless of their financial or non-financial nature, are a great
challenge for financial stability. This study examines the impact of one such occurrence—the COVID19 pandemic—on cryptocurrency markets. A detrended cross-correlation analysis was performed to
evaluate how the links between 16 cryptocurrencies were changed by this event. Cross-correlation
coefficients that were calculated before and after the onset of the pandemic were compared, and the
statistical significance of their variation was assessed. The analysis results show that the markets
of the assessed cryptocurrencies became more integrated. There is also evidence to suggest that
the pandemic crisis promoted contagion, mainly across short timescales (with a few exceptions of
non-contagion across long timescales). We conclude that, in spite of the distinct characteristics of
cryptocurrencies, those in our sample offered no protection against the financial turbulence provoked
by the COVID-19 pandemic, and thus, our study provided yet another example of ‘correlations
breakdown’ in times of crisis.
Consumer, retailer, and producer green orientation as a marketing driver: an empirical study in an urban food market
Publication . Xara-Brasil, Duarte; Cordeiro, João Pedro Pina; Carvalho, Luísa Margarida Cagica; Pardal, Pedro; Silveira, Paulo Duarte
This article analyzes consumer, local producer, and retailer green orientation regarding local food production and consumption in an urban food market context. This approach extends previous research, mainly focused on green orientation of consumers, by including a broader analysis of the perceptions of different relevant stakeholders. For this purpose, an empirical study was carried out in the context of a local urban market of a medium-sized city through the application of a survey to producers, retailers, and consumers, which included a green orientation scale. Results showed that local consumers and local retailers have a similar high level of green orientation, while local producers are less green-oriented. These conclusions highlight the importance of the green “values” in local communities and the need to reinforce marketing efforts and specific training programs to different stakeholders, namely local producers focused on sustainability.
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Funding agency
Fundação para a Ciência e a Tecnologia
Funding programme
6817 - DCRRNI ID
Funding Award Number
UIDB/04007/2020