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Short bio

Helder Sebastião obtained a degree in Economics from the School Economics at the University of Coimbra (FEUC) in 1993, where he also obtained the master’s degree in Financial Economics in 1997. In 2007 he obtained Ph.D. in Finance by the Lancaster University-Management School. He is currently Assistant Professor at FEUC, where he teaches courses on Financial Economics, Banking Economics and Derivatives. He is also a researcher at CeBER, where he has produced some work on financial markets and derivatives.

Supervision of PhD Students

(2017) New Ways of Measuring and Dealing with Risk and Return in Portfolio Optimization
Economics
(2013) Modeling and Numerical Analysis in Option Market With Memory
Economics
(ongoing) Long-term Portfolio Selection and Performance Evaluation
Economics
(ongoing) Risk Changes in Stock Markets during Crisis Periods
Business Management

Publications

(2021) Forecasting and trading cryptocurrencies with machine learning under changing market conditions. Financial Innovation, 7, 3.
Authors
(2022) Cryptocurrencies and blockchain. Overview and future perspectives. International Journal of Economics and Business Research.
Authors
(2021) From Bitcoin to Central Bank Digital Currencies: Making Sense of the Digital Money Revolution. Future Internet, 13, 165.
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(2021) Padrões dos IPOs na Euronext Após a Crise Financeira Global de 2007‑2008. Notas Económicas, 137-155.
Authors
(2021) Price Appreciation and Roughness Duality in Bitcoin: A Multifractal Analysis. Mathematics, 9, 2088.
Authors
(2020) COVID-19, “Blockchain” e moeda digital. In: Garrido, Álvaro, Costa, Hermes Augusto (Ed.), Um Vírus que nos Re(Une): Reflexões da FEUC, (pp 185-189). Porto: VidaEconómica.
Authors
(2020) The Relationship between USD/EUR official exchange rates and implied exchange rates from the Bitcoin market. In: Duarte, António Portugal, Simões, Marta, Bação, Pedro, Martins, Rita (Ed.), Estudos de Homenagem a João Sousa Andrade, (pp 275-290). Coimbra: Almedina.
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(2020) Using Machine Learning to Profit on the Risk Premium of the Nordic Electricity Futures. Scientific Annals of Economics and Business, 67, 1-17.
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(2020) International evidence on stock returns and dividend growth predictability using dividend yields. Revista Contabilidade & Finanças, 31, 473-489.
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(2020) Bitcoin futures: An effective tool for hedging cryptocurrencies. Finance Research Letters, 33, 101230.
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(2019) Portfolio management with higher moments: the cardinality impact. International Transactions in Operational Research, 26, 2531-2560.
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(2018) The Iberian electricity market: analysis of the risk premium in an illiquid market. Journal of Energy Markets, 11, 61-82.
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(2018) Information Transmission Between Cryptocurrencies: Does Bitcoin Rule the Cryptocurrency World?. Scientific Annals of Economics and Business, 65, 97-117.
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(2018) On the Gains of Using High Frequency Data in Portfolio Selection. Scientific Annals of Economics and Business, 65, 365-383.
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(2017) Where is the Information on USD/Bitcoin Hourly Prices?. Notas económicas, 7-25.
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(2017) Portfolio choice with high frequency data: CRRA preferences and the liquidity effect. Portuguese Economic Journal, 16, 65-86.
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(2016) Efficient skewness/semivariance portfolios. Journal of Asset Management, 17, 331-346.
Authors

Contacts

Address

Faculdade de Economia
Universidade de Coimbra
Av. Dias da Silva, 165
3004-512
Portugal

Call

Phone
+351 239 790 570
Extension
500270

Web and Email

Email
helderse@fe.uc.pt