IPS - ESCE – DCF - Artigos científicos
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- Testing the diversifying asset hypothesis between clean energy stock indices and oil pricePublication . Dias, Rui; Galvão, Rosa; Cruz, Sandra; Irfan, Mohammad; Alexandre, Paulo; Gonçalves, Sidalina; Teixeira, Nuno; Palma, Cristina; Almeida, LilianaIn theory, geopolitical risk and political uncertainty can directly affect energy markets. Fluctuations lead to the cost of clean energy sources as they compete with traditional energy. The purpose of this study is to analyse financial integration and test the diversifying asset hypothesis between clean energy indices, specifically the Clean Energy Fuels (CLNE), Nasdaq Clean Edge Green Energy (CELS), S&P Global Clean Energy (SPGTCLEN), TISDALE Clean Energy (TCEC.CN), Wilderhill (ECO) and West Texas Intermediate (WTI) stock indices, over the period from 1 January 2018 to 23 November 2023. Analysing the results reveals a scenario where most of the clean energy indices show cointegration with each other, indicating long-term relationships that reflect common trends in the clean energy sector. However, the relative independence of the WTI suggests that Oil still acts as an important and potentially diversifying external factor for investors focused on sustainable energy. Structural breaks in 2021 and 2022 in several indices point to significant events that have altered market dynamics, possibly including changes in environmental policies, technological innovations and the impacts of the COVID-19 pandemic. The cointegration evidence and structural breaks provide valuable information for building investment portfolios. Investors can consider the WTI to diversify portfolios dominated by clean energy assets, taking advantage of Oil’s relative independence. On the other hand, the high correlation between clean energy indices suggests that, within this sector, diversification options are more limited, requiring careful analysis of the specific characteristics of each index and the macroeconomic forces affecting them.
- Big Data as an emerging paradigm in organisations' management: a bibliometric analysisPublication . Gonçalves, Sidalina; Ventura, José Biléu; Rua, Orlando Lima; Dias, Rui; Galvão, RosaThe Big Data Age defines the present era, and the globalisation of business makes it pressing to derive valuable insights from data so that organisations can make sustained decisions. There is no consensus in the literature on how organisations should guide the vast volume of data in value creation or galvanise performance gains. The study aims to address these gaps by reviewing the literature searching WoS using R. Bibliometrix. 4,019 documents were identified between 2008 and early February 2022 through a current mapping of Big Data in management. The results indicate a strong collaboration network among authors and a notable trend in Big Data, Big Data Analytics, Machine Learning, and Artificial Intelligence. These keywords reveal a concern for the predictive analysis of data and the emergence of new research trends, namely management, performance, decision-making, business and value creation, supporting the thesis that Big Data is an emerging paradigm in organisational management.
- Determinants of auditor choice: evidence from Sharia Commercial Banks in IndonesiaPublication . Filianti, Dian; Dias, Rui; Rusmita, Sylva Alif; Irfan, Mohammad; Putri, Athifa Hafizha; Galvão, RosaThis research aims to determine the impact of corporate governance, firm complexity, foreign ownership, and ownership concentration towards auditor choice for Sharia commercial banks in Indonesia in 2016-2023. Firm size is also accounted for as a control variable. This research was conducted using a quantitative approach using the logit logistic regression analysis method through the Eviews 13 software. The sampling method was carried out using a purposive sampling method, which produced a sample of 9 Sharia commercial banks in Indonesia with a total of 72 observations. This study aims to provide an overview of the factors that Sharia commercial banks in Indonesia consider in choosing their external auditors, namely between Big 4 and non-Big Four auditors, which differ from other companies and industries. The results show that in partial analysis, corporate governance mechanisms and ownership concentration significantly and negatively affect auditor choice. Meanwhile, firm complexity and foreign ownership do not affect auditor choice. Low demands cause the negative influence of ownership concentration due to the private nature of the banks and efforts to achieve efficiency in audit fees while maintaining the same quality standards.
- Can renewable energy be a driving factor for economic stability? an inDepth study of sector expansion and economic dynamicsPublication . Agrawal, Manali; Irfan, Mohammad; Dias, Rui; Galvão, Rosa; Leote, Francisco; Gonçalves, SidalinaIndia has emerged as one of the world's most appealing locations for renewable energy development. It has set lofty renewable energy goals to reach 450 gigawatts (GW) capacity by 2030. These aims indicate India's determination to move to greener and more sustainable energy sources. India has been investing in R&D to promote technological innovation in renewable energy. This includes improvements to solar photovoltaic technology, wind energy, energy storage technologies, and smart grid systems. Innovation is critical for improving efficiency, lowering prices, and increasing the reliability of renewable energy sources. This paper aims to analyse the linkages between economic growth and renewable energy usage in India. For this, the Granger Causality technique is adopted, and it is found that no short-run causality exists among the economic growth and RE installed capacity. However, Industrial Production Granger Causes both GDP and Renewable Energy Capacity. When the stock price data of the last five years of top renewable energy companies was also collected, it was found that all the companies are showing an upward trend. While renewable energy is growing rapidly, especially solar and wind power, it is insufficient to meet the bulk of India's energy demands. Renewables contribute to reducing carbon emissions and diversifying the energy mix, but they still account for a smaller percentage compared to thermal power.
- Relating big data, value creation, performance and decision-making: multiple case studiesPublication . Gonçalves, Sidalina; Ventura, José Biléu; Rua, Orlando Lima; Dias, Rui; Galvão, RosaThis study aimed to understand how big data (BD) contributes to value creation in organisations and provides relevant, integrated, and timely information for the performance measurement/assessment model that supports top-management decision-making. The empirical study employs a qualitative methodology comprising five cases using the multiple-case study method. The data collection instrument was semi-structured interviews, and the MAXQDA software was used to treat and analyse the contents. The results show that BD creates value for organisations with positive effects on performance, namely on results, key indicators and turnover, confirming its contribution with relevant financial and non-financial information. It also highlights its innovative approach since the evidence found can be combined with the balanced scorecard (BSC) to identify the most appropriate and efficient key performance indicators (KPIs) for better organisational performance.
- Complex and multifaceted nature of cryptocurrency markets: a study to understand its time-varying volatility dynamicsPublication . Agrawal, Manali; Dias, Rui; Irfan, Mohammad; Galvão, Rosa; Gonçalves, SidalinaDecentralised Finance (DeFi) provides a new way to perform complex financial transactions by exploiting blockchain's ability to maintain a decentralised ledger of transactions without being constrained by centralised systems or human intermediaries. DeFi provides alternative financial instruments that might lessen portfolio risk, especially given the erratic state of the financial markets today. This study analyses the association between the year of the coin in which it was introduced and the market capitalisation of the respective companies. Furthermore, the study also tries to understand the volatility associated with cryptocurrencies using EGARCH & GJRGARCH models. The results reveal that market capitalisation is not similar for all three stages of the age of cryptocurrency. Also, negative news tends to impact Bitcoin more than positive news, and the volatility is persistent and long-lasting. Ethereum, BNB & Solana see more volatility from absolute past shocks; however, Tether exhibits low but persistent volatility as a stablecoin
- Exploring the relationship between clean energy indices and oil prices: a ten-day window approachPublication . Dias, Rui; Galvão, Rosa; Cruz, Sandra; Irfan, Mohammad; Teixeira, Nuno; Gonçalves, SidalinaThis paper aims to assess the comovements between clean energy indices, namely the Clean Energy Fuels (CLNE), Nasdaq Clean Edge Green Energy (CELS), S&P Global Clean Energy (SPGTCLEN), TISDALE Clean Energy (TCEC.CN), Wilderhill (ECO), West Texas Intermediate (WTI) stock indices, over the period from 1 January 2018 to 23 November 2023. We used 10-day windows to analyse the duration and nature of the shocks. Granger causality tests revealed that 20 of the 30 possible pairs showed significant movements, with the WTI influencing all the clean energy indices, highlighting its global importance. CELS also showed a robust influence on all pairs, while SPGTCLEN had a significant but less far-reaching influence. The CLNE and ECO indices showed limited influences, suggesting the potential for diversification, the TCEC.CN proved to be independent and a determining factor for portfolio diversification. The Impulse Response Functions (IRF) confirmed significant movements between CELS, SPGTCLEN and WTI, reflecting the market's response to policies and adjustments in expectations. Fluctuations in oil prices substantially affect clean energy indices, highlighting the interconnectedness and volatility of these markets. In conclusion, these results indicate that despite the growth of clean energy, the sector is still influenced by fluctuations in the fossil fuel market.
- Does Haryana's SHG participation help the quality of life of Dalit women? an approach based on composite index and treatment effectPublication . Kumari, Lalita; Dias, Rui; Irfan, Mohammad; Manglani, Hemlata; Galvão, Rosa; Varela, MiguelThis study aimed to assess the impact of Self Help Groups and their specific interventions, such as vocational training programmes and the use of loans in productive means, on the empowerment of Dalit women of Haryana. A selected control group from OBCs was studied, and it was shown how the livelihood interventions of Self Help Groups bridged the gap between SC (Dalit) and OBC women beneficiaries. The study selected four districts from Haryana with an equitable distribution of SC and OBC women beneficiaries and 360 respondents with equal distribution of SC and OBC women beneficiaries from Haryana and used a Likert scale data for the analysis. Principal component analysis (PCA) and treatment effects were carried out using the propensity score matching method (PSM), the composite index for women's economic empowerment was inferred, and important empowerment factors were identified in Haryana. Results compared and contrasted the implications for different social groups and districts selected for the study and concluded that Self Help Group interventions significantly affected the women empowerment of both social groups and uplifted the Dalit women beneficiaries to the level of OBC women in Haryana. A large number of training programmes are to be conducted to promote more small businesses and micro-enterprises.
- Impact of hybrid work model on job satisfaction of techies during the COVID-19 pandemicPublication . Gangisetty, N.; Dias, Rui; Irfan, Mohammad; Mohana, S.; M, Sandeep Kumar; Santosh, Kathari; Galvão, Rosa; Varela, MiguelThe rise of hybrid work models, blending remote and onsite work arrangements, has become increasingly prevalent in today's workforce, especially in the IT industry. The research aims to determine the effects of a hybrid-work model on the job satisfaction of tech professionals, focusing on key factors including onsite work, remote work, flexibility, communication, and safety. Using reliability test, CFA and structural analysis, data collected from a sample of tech professionals was analysed to measure the connection among various work arrangements and satisfaction of job. The findings reveal significant positive associations between job satisfaction for both onsite and remote work. Additionally, flexibility and effective communication emerged as important factors positively influencing job satisfaction among tech workers in hybrid work environments. Furthermore, our study underscores the importance of safety considerations in hybrid work settings. While safety showed a smaller effect size than other factors, it still exhibited a significant relationship with job satisfaction, highlighting the significance of providing a safe and secure work environment for tech professionals. These findings contribute to considering how hybrid work models impact job satisfaction in the technology sector. Employers and organisations can leverage these insights to optimise their hybrid work policies, emphasising flexibility, communication, and safety factors to enhance overall job satisfaction among tech employees.
- The influence of the international oil price on the EUR/USD exchange ratePublication . Dias, Rui; Galvão, Rosa; Alexandre, Paulo; Teixeira, Nuno; Palma, Cristina; Leote, FranciscoThe study analyses the influence of the international oil price, focusing on the CBOE Crude Oil Volatility Index and Brent crude oil, on the main exchange rates: EUR/GBP, EUR/USD, GBP/USD, USD/CHF and USD/JPY. The analysis covers the period from 3 January 2022 to 8 December 2024 to examine the relationship between fluctuations in the oil market and the behaviour of exchange rates. The results show that the CBOE index directly impacts the EUR/GBP currency pair, reflecting the influence of global volatility on financial markets. The EUR/USD pair is influenced by the behaviour of the USD/JPY currency pair, showing the interconnection between the major currencies. Brent futures significantly affect the USD/CHF and USD/JPY currency pairs due to the importance of oil as a strategic commodity and the sensitivity of currencies such as the Yen and Swiss franc to fluctuations in energy prices. These relationships show the strong interconnectedness of global markets, highlighting the importance of informed risk management and decision-making strategies in interdependent environments.