Listar GI-M2NICA - Congresos, conferencias, etc. por autor "Leitao, Álvaro"
Mostrando ítems 1-3 de 3
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Deep Learning-Based Method for Computing Initial Margin †
Pérez Villarino, Joel; Leitao, Álvaro (MDPI, 2021)[Abstract] Following the guidelines of the Basel III agreement (2013), large financial institutions are forced to incorporate additional collateral, known as Initial Margin, in their transactions in OTC markets. Currently, ... -
Machine Learning to Compute Implied Volatility from European/American Options Considering Dividend Yield
Liu, Shuaiqiang; Leitao, Álvaro; Borovykh, Anastasia; Oosterlee, Cornelis (MDPI AG, 2020-09-15)[Abstract] Computing implied volatility from observed option prices is a frequent and challenging task in finance, even more in the presence of dividends. In this work, we employ a data-driven machine learning approach ... -
Quantum Arithmetic for Directly Embedded Arrays
Manzano, Alberto; Musso, Daniele; Leitao, Álvaro; Gómez, Andrés; Vázquez, Carlos; Ordóñez, Gustavo; Rodríguez Nogueiras, María (MDPI, 2021)[Abstract] We describe a general-purpose framework to implement quantum algorithms relying upon an efficient handling of arrays. The cornerstone of the framework is the direct embedding of information into quantum amplitudes, ...