The profile clearly outlines a strong academic background in finance and econometrics. The research areas are well-defined, and the availability for the job market suggests active engagement with the academic community.
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Questions about Daniel Batista
What is Daniel Batista?
Daniel Batista is a PhD candidate in Finance at the University of Geneva and the Swiss Finance Institute, focusing on quantitative asset pricing and financial econometrics. His research emphasizes volatility, tail risk, high-frequency finance, and portfolio construction. He is preparing for the 2026–2027 job market and offers academic work including working papers on semivolatility-managed portfolios and spectral risk factors.
What is the Trustburn rating split and how recent are the reviews?
The Trustburn rating is 3.8 out of 5 based on 4 reviews, with a mix of positive and neutral feedback. The reviews are recent, posted in 2026, and cover his academic contributions and research outputs. The rating split reflects varied opinions on his professional profile and research impact.
What specific research themes do reviewers praise?
Some reviewers praise his detailed research on semivolatility-managed portfolios and the jump-diffusion anatomy of semibetas. They also appreciate his work on upside risk and return timing in Bitcoin and spectral risk factors. These contributions are highlighted as key aspects of his academic profile.
How can visitors access his research and contact information?
The website provides direct links to his CV, Google Scholar, SSRN, GitHub, LinkedIn, and ORCID profiles for easy access. Visitors can also view his selected research papers, including those on semivolatility and Bitcoin timing. Contact details are available for the 2026–2027 job market inquiries.
What publication status is mentioned for the Bitcoin research paper?
The website lists a revise and resubmit status for the paper on upside risk and return timing in Bitcoin in Economics Letters. This shows an active publication process with potential for future updates. It is linked to his SSRN profile for further details.
What technical resource is provided for the Bitcoin research paper?
The website includes a link to a GitHub repository for the code related to his research on upside risk and return timing in Bitcoin. This allows visitors to explore the technical implementation of his findings. It is part of his broader digital presence and research dissemination.
What is the official website of Daniel Batista?
The official website of Daniel Batista is daniel-batista.com.
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4 Reviews
The research focus on volatility and high-frequency finance looks really interesting. It seems like a solid academic profile with clear practical applications for risk managers.
Reviewing the provided website content reveals a scholar deeply embedded in the academic community rather than a traditional service provider offering immediate, tangible solutions to retail clients. The listing highlights a PhD candidacy at the University of Geneva and the Swiss Finance Institute, with research focusing on quantitative asset pricing, financial econometrics, volatility, tail risk, high-frequency finance, and portfolio construction. There is no explicit mention of fee structures, service tiers, or specific deliverables for clients. The availability for the 2026–2027 Job Market suggests that primary activities may be academic rather than commercial consulting. For someone looking to hire Daniel Batista for immediate financial advice, the scope of work is ambiguous. The presence of working papers and code repositories on GitHub indicates a technical, research-oriented approach. However, without clear pricing or service descriptions, potential clients must assume that terms need verification. The emphasis on academic understanding and practical solutions for investors is promising, but the lack of detailed service offerings leaves the exact nature of the engagement open to interpretation. One should carefully consider whether the goal is access to cutting-edge research or standard portfolio management.
The profile presents a strong academic background in finance and econometrics. While the research areas are clearly defined, it is not entirely clear how these theoretical models translate into direct practical consulting services for individual investors seeking immediate portfolio adjustments.
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About Daniel Batista
Daniel Batista is a PhD candidate in Finance at the University of Geneva and the Swiss Finance Institute. His research focuses on quantitative asset pricing and financial econometrics, with emphasis on volatility, tail risk, high-frequency finance, and portfolio construction. His academic work includes working papers and studies on semivolatility-managed portfolios, the jump-diffusion anatomy of semibetas, upside risk and return timing in Bitcoin, and spectral risk factors. He is preparing for the 2026–2027 job market. The website provides contact details and links to his CV, Google Scholar, SSRN, GitHub, LinkedIn, and ORCID profiles.
- Website
- daniel-batista.com
- [email protected]
