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Commodity-price shocks and macroeconomic dynamics: evidence from selected countries
No full textThis work project aims to examines how price shocks to commodities’ prices propagate to
selected macroeconomic variables in Italy, South Africa, and the United States. We do so by
firstly computing a Principal Component Analysis (PCA) on commodities divided by sector.
Afterwards we deploy a factor-augmented SVAR framework which captures country-specific
dynamics. Impulse–response analysis shows that energy shocks dominate real-sector effects,
especially in the net-importing economies, whereas food shocks chiefly influence inflation.
Exchange-rate regimes modulate the transmission: dollar strength insulates the United States;
South Africa’s depreciation amplifies pass-through while Italy's lack of autonomous monetary
policy exacerbates the impact of the shocks
The impact of government-led monetary incentives on share buybacks: evidence from China’s 2024 reform
No full textShare buyback is the behavior of publicly traded companies that use their own or self-financed
funds to purchase company shares on the stock market. Listed companies tend to adopt this
strategy when they are undervalued and is usually used to enhance investor confidence.
This study analyzes the impact that the Chinese government-led reform has on share buybacks
of companies listed on the Shanghai (SSE) and Shenzhen (SZE) Stock Exchanges. It assesses
how the market responded to the policy and whether it perceived the buybacks as value-driven
or as a response to favorable policy conditions, introduced to support the buyback mechanism
Crisis-proofing real estate: ESG and downside risk resilience in European market shocks. Measuring impact for 'BPI impacto clima' funds
No full textThis thesis examines whether stronger ESG performance strengthened downside resilience in
European listed real‐estate firms during two severe shocks, namely the Q1 2020’s COVID‐19
sell‐off and Q3 2022’s energy crisis. Leveraging Refinitiv ESG scores, daily price and volume
data, and quarterly financials for 16 firms across varied regulatory stringency, we calculate
maximum drawdown, realized volatility, and Sharpe ratios. Cross‐sectional and fixed‐effects
regressions reveal no significant ESG impact on drawdown or volatility and a marginal negative
crisis‐period Sharpe effect. These findings imply that ESG alone does not ensure crisis
resilience, highlighting the need to integrate sustainability metrics with traditional risk‐
management tools
Case study of behavioural governance wells fargo bank scandle
No full textThis study explores the behavioral governance failures at Wells Fargo that led to widespread
unethical practices and subsequent penalties. By analyzing financial data and public records,
this directed research investigates the mechanisms by which corporate governance failed to
prevent misconduct. Through a detailed examination of Wells Fargo's policies, employee
incentives, and regulatory responses, this study aims to highlight systemic risks in banking risk
management practices and propose strategies to prevent similar occurrences in the future
Gen ai in banking: potential impact and customer acceptance
No full textThis paper investigates the use of GenAI in retail banking, focusing on its potential impact on
customer intimacy. By incorporating an extensive literature review, this study offers an in-depth
assessment of GenAI's capabilities and its anticipated influence on banking relationships.
Additionally, it addresses significant challenges such as data security, inherent biases, and
transparency. Survey results reveal a polarized opinion regarding GenAI in banking; however,
the majority suggests that improved data security could enhance trust. The analysis concludes
with recommendations for banks to foster a secure and client focused integration of GenAI.
Therefore, the paper contributes valuable insights into the transformative potential of GenAI in
banking, serving as a critical resource for both scholars and practitioners
From views to likes: analyzing engagement drivers on tik tok for skincare brand accounts
No full textThe growing relevance of younger consumers for the skincare market has led to an increased
importance of brand social media presence on platforms such as TikTok. However, the factors
that drive engagement on TikTok for skincare brand accounts are not widely researched. This
study tests the effects of different types of post characteristics and content characteristics on
engagement rates through linear regressions. The results indicate that video length and
influencer inclusion have a negative effect on engagement rates. These findings can guide
skincare brands to optimize their content strategies to improve engagement rates
Civic engagement in international public policy-making
No full textThis study examines the challenges faced by non-governmental organisations (NGO) in
engagement processes provided by international organisations for participation in their public
policy-making, using the United Nations Framework Convention on Climate Change as a case
study. Through qualitative research, specifically semi-structured interviews with experts from
environmental NGOs the research identifies key issues violating the principles inclusiveness,
transparency, deliberativeness, and empowerment. Findings reveal challenges in each part of
the engagement process, often practical but with a huge overall impact. Recommendations
proposed include comprehensive NGO support systems, facilitating meaningful engagement
in events, enhanced coordination and digitalisation, and capacity building and financial
support
Harnessing ai for impact: identifying primary ai application domains and overcoming challenges to enhance data-driven decision-making in ngoss
No full textThis research investigates the integration of artificial intelligence (AI) within non governmental organizations (NGOs) to enhance data-driven decision-making. It identifies
key operational domains within NGOs—fundraising, project implementation, and impact
tracking—where AI can be leveraged, and explores the barriers preventing widespread
adoption. Despite AI's potential to improve efficiency and accountability, NGOs face
challenges such as resource constraints, data limitations, organizational receptiveness, and
context-sensitive risks. Through an interpretivist methodology, this study derives insights
from AI experts, NGO representatives and stakeholders, providing high-level
recommendations for AI adoption, emphasizing the need for a holistic implementation
approach to achieve greater impact
How can business intelligence help a company make decisions more efficiently
No full textBusiness Intelligence is crucial for a company to achieve a more efficient decision-making
process. However, since its operations started, HumanIT has had no visual access to its
information or established KPIs from where the employees should focus their work. The
project developed to counteract this phenomenon was a Power BI dashboard built jointly with
end-user feedback during a pilot project. It allows the team to understand better the company’s
trend over time, their gain and pain points, and how to move forward with their decisions
Forecasting cost-per-click of keywords in Google’s competitive paid search advertising market: a time-series clustering approach
No full textAccurately forecasting Cost-per-Click of paid search advertising is essential for performance
marketers to allocate budgets that optimize marketing campaign returns. In this study, we perform
a comprehensive analysis using various time-series forecasting methods to predict daily average
CPC of keywords in the car rental sector. Our results show the power of statistical models on noisy
keyword-level CPC time-series on short to medium horizons, only being outperformed by more
complex neural networks on longer horizons. Advanced forecasting approaches leveraging
competition did not yield significant accuracy improvements. Additional experiments with fine tuned foundational models for time-series showed promising results, optimizing practicality and
accuracy