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  <title>DSpace Collection:</title>
  <link rel="alternate" href="https://repositorio.ufu.br/handle/123456789/19303" />
  <subtitle />
  <id>https://repositorio.ufu.br/handle/123456789/19303</id>
  <updated>2026-08-11T15:23:47Z</updated>
  <dc:date>2026-08-11T15:23:47Z</dc:date>
  <entry>
    <title>O mercado de opções antecipa a tempestade? FXVol como previsor da volatilidade da PTAX no Brasil (2010–2024)</title>
    <link rel="alternate" href="https://repositorio.ufu.br/handle/123456789/49406" />
    <author>
      <name />
    </author>
    <id>https://repositorio.ufu.br/handle/123456789/49406</id>
    <updated>2026-08-11T06:26:42Z</updated>
    <published>2026-03-04T00:00:00Z</published>
    <summary type="text">Title: O mercado de opções antecipa a tempestade? FXVol como previsor da volatilidade da PTAX no Brasil (2010–2024)
Abstract: This paper examines whether the USD/BRL implied exchange-rate volatility, proxied by the&#xD;
FXVol index, contains predictive information for future volatility in Brazil. Using daily data&#xD;
from 2010–2024, we combine PTAX-based log returns with FXVol (reported in annualized&#xD;
percent terms and converted into annualized variance). The forecasting target is the 𝐻-day-ahead&#xD;
annualized realized variance, computed as the sum of squared returns over (𝑡 + 1, . . . , 𝑡 + 𝐻) and&#xD;
scaled by 252/𝐻. Out-of-sample performance is assessed in a rolling-window design of roughly&#xD;
five trading years, comparing an IV-only specification with historical volatility (HV), EWMA,&#xD;
and a HAR benchmark, as well as a combined HAR+IV model. Forecast accuracy is evaluated&#xD;
using RMSE, MAE, and QLIKE, while relative performance is tested with Diebold–Mariano&#xD;
statistics and the Clark–West test for nested models. Results indicate that combining volatility&#xD;
persistence (HAR) with option-implied information (FXVol) improves forecasting accuracy, with&#xD;
stronger gains in high-uncertainty subperiods, especially after 2020.</summary>
    <dc:date>2026-03-04T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Determinantes das exportações de soja do município de Uberlândia/MG no período de 2005 a 2024</title>
    <link rel="alternate" href="https://repositorio.ufu.br/handle/123456789/49239" />
    <author>
      <name />
    </author>
    <id>https://repositorio.ufu.br/handle/123456789/49239</id>
    <updated>2026-08-01T06:29:12Z</updated>
    <published>2026-03-12T00:00:00Z</published>
    <summary type="text">Title: Determinantes das exportações de soja do município de Uberlândia/MG no período de 2005 a 2024
Abstract: This study aims to analyze the main factors influencing soybean exports from&#xD;
the municipality of Uberlândia-MG. To this end, the research estimates an Autoregressive&#xD;
Distributed Lag (ARDL) model using data from 2005 to 2024 to assess the relationship&#xD;
between macroeconomic variables and the performance of soybean exports in the&#xD;
municipality, with a focus on aspects such as external demand, international prices, the&#xD;
exchange rate, and cyclical events. In this way, the study seeks to contribute to the&#xD;
understanding of regional trade dynamics and the challenges associated with specialization&#xD;
in agricultural commodities in the municipality. The results show that Chinese demand&#xD;
represents the main long-run determinant of soybean exports from Uberlândia, while the&#xD;
other variables did not present a relevant contribution.</summary>
    <dc:date>2026-03-12T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Inovação tecnológica e sustentabilidade na cadeia de suprimentos da indústria alimentícia: monitoramento, rastreabilidade e governança como vetores de competitividade</title>
    <link rel="alternate" href="https://repositorio.ufu.br/handle/123456789/49233" />
    <author>
      <name />
    </author>
    <id>https://repositorio.ufu.br/handle/123456789/49233</id>
    <updated>2026-08-01T06:29:10Z</updated>
    <published>2026-07-13T00:00:00Z</published>
    <summary type="text">Title: Inovação tecnológica e sustentabilidade na cadeia de suprimentos da indústria alimentícia: monitoramento, rastreabilidade e governança como vetores de competitividade
Abstract: This study analyzes the role of sustainable innovation in the food industry, with a particular focus on JBS's sustainability investments and their impact on corporate competitiveness. The objective is to understand how the adoption of sustainable practices, innovative technologies, and environmental governance mechanisms contributes to companies' ability to adapt to the demands of international markets. To achieve this objective, the study employs an exploratory qualitative approach based on a literature review of books, scientific articles, institutional documents, and legislation related to innovation, sustainability, global value chains, and international trade. In addition, a case study of JBS is conducted through the analysis of sustainability reports, annual reports, and other corporate documents published by the company. The findings indicate that sustainability has evolved from being merely a competitive advantage to becoming a strategic requirement for maintaining access to global markets, particularly in response to increasingly stringent environmental regulations concerning traceability and deforestation. The analysis shows that JBS's investments in territorial monitoring, traceability, certifications, energy efficiency, circular economy initiatives, and technological innovation have strengthened its ability to comply with regulatory requirements while enhancing transparency and governance throughout its supply chain. However, the available data do not allow the establishment of a direct causal relationship between these investments and specific financial performance indicators, limiting the assessment of their economic returns. The study concludes that sustainable innovation plays a strategic role in the competitiveness of the food industry by contributing to risk mitigation, strengthening corporate governance, and enabling companies to adapt to the new environmental and commercial requirements that characterize the contemporary international market.</summary>
    <dc:date>2026-07-13T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Avaliação de estratégias de Quality Investing no Mercado Acionário Brasileiro de 2000 a 2023</title>
    <link rel="alternate" href="https://repositorio.ufu.br/handle/123456789/49065" />
    <author>
      <name />
    </author>
    <id>https://repositorio.ufu.br/handle/123456789/49065</id>
    <updated>2026-07-25T06:27:20Z</updated>
    <published>2024-11-04T00:00:00Z</published>
    <summary type="text">Title: Avaliação de estratégias de Quality Investing no Mercado Acionário Brasileiro de 2000 a 2023
Abstract: This monograph analyzes the historical performance of Factor Investing strategies, focusing on the Quality Factor, within the context of the Brazilian stock market from 2000 to 2023. The study highlights the performance of the Quality Factor amid the evolution of finance, revisiting the importance of fundamental theories and exploring the complexity of financial markets. Three variables—Return on Invested Capital, Gross Profit/Assets ratio, and the Altman Z-Score—were used to estimate the Quality Factor. The results indicate that Quality strategies consistently deliver higher annualized returns, lower standard deviations, and higher Sharpe ratios compared to the benchmarks considered. Thus, this work aims to contribute to investment decisions and portfolio construction while enriching the financial literature. The conclusion explores the findings in light of the economic cycle effects, modern financial theory regarding market efficiency, and behavioral economics.</summary>
    <dc:date>2024-11-04T00:00:00Z</dc:date>
  </entry>
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