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DTSTART;TZID=Europe/Lisbon:20260526T140000
DTEND;TZID=Europe/Lisbon:20260526T150000
DTSTAMP:20260525T091828Z
CREATED:20260427T133216Z
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SUMMARY:BRU Research Seminar: Jano Jiménez-Barreto
DESCRIPTION:Guest Speaker: Jano Jiménez-Barreto (Universidad de La Laguna / Oxford Brookes University) \nTime: 14:00 \nTitle: How Time and Place Adverbs Influence Shared Control in Consumer–AI Chatbot Interactions \nAbstract:AI chatbots have become standard interfaces\, but companies still lack clear guidance on how to set up chatbot language to benefit consumers and brands alike. Prior research shows that language concreteness shapes persuasion and service perceptions in consumer-AI chatbot interactions. Yet there is no clear path to design specific linguistic structures that ensure these outcomes or to understand how brand characteristics can modulate AI chatbots’ linguistic performance. Building on an interaction-centric approach\, we investigate whether—and under what brand conditions—chatbots that intensively use time and place adverbs produce more efficient interactions by shaping a mechanism we term shared control.\n \nSession Chair: Sandra Loureiro \nBuilding 4\nRoom B226
URL:https://bru.iscte-iul.pt/event/bru-research-seminar-jano-jimenez-barreto/
CATEGORIES:Research Seminar
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DTSTART;TZID=Europe/Lisbon:20260602T160000
DTEND;TZID=Europe/Lisbon:20260602T170000
DTSTAMP:20260527T112735Z
CREATED:20260527T112735Z
LAST-MODIFIED:20260527T112735Z
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SUMMARY:BRU Research Seminar: Sajid Ali
DESCRIPTION:Guest Speaker: Sajid Ali (BRU-Iscte) \nTime: 16:00 \nTitle: Machine Learning Strategies for Pricing Options in Financial Markets \nAbstract: An extensive analysis of European call option pricing on the S&P 500 (SPX) index over 2017–2022\, covering both low- and high-volatility regimes. A comprehensive set of models is considered\, including the classical Black–Scholes framework and a wide range of machine learning approaches\, such as Random Forest\, XGBoost\, AdaBoost\, Support Vector Regression\, K-Nearest Neighbours\, Linear Regression\, and a Neural Network. The study evaluates model performance in terms of pricing accuracy across different market conditions\, demonstrating the robustness of ensemble tree-based methods. We also employ explainable AI (XAI) techniques\, to analyze contributions of input features in option pricing models. \n  \nSession Chair: João Pedro Nunes \nBuilding 4\, Room A104\nLink to join online:
URL:https://bru.iscte-iul.pt/event/bru-research-seminar-sajid-ali/
CATEGORIES:Research Seminar
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DTSTART;TZID=Europe/Lisbon:20261027T130000
DTEND;TZID=Europe/Lisbon:20261027T150000
DTSTAMP:20261021T152402Z
CREATED:20261019T180646Z
LAST-MODIFIED:20261021T152402Z
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SUMMARY:BRU Research Seminar | Professor Xiaoshan Chen | Mariana Cardoso Santos
DESCRIPTION:Public debt consolidation and inflation in a monetary union\nProfessor Xiaoshan Chen (Durham University Business School) \n\nAbstract: We study how common monetary accommodation interacts with national fiscal consolidation in a monetary union. We develop a two-country heterogeneous-agent New Keynesian model calibrated to euro-area Core–Periphery differences in public debt\, external positions\, income and wealth distributions\, and consumption patterns. The model features tradable and non-tradable production\, imperfect sectoral labour mobility\, and non-homothetic Stone–Geary preferences that make consumption baskets vary with household resources. The distributional incidence of consolidation differs sharply across countries: consolidation is progressive in the Core and regressive in the high-debt Periphery. Government consumption consolidation is nevertheless substantially less costly than labour-tax consolidation. When monetary accommodation is introduced through a temporary increase in the common inflation target\, its welfare effects depend on the fiscal instrument. Under government-consumption consolidation\, accommodation reduces welfare losses in the Periphery but lowers average welfare in the Core\, creating a Core–Periphery conflict. Under labour-tax consolidation\, accommodation is more broadly beneficial\, reducing the required tax increase\, supporting disposable income\, and lowering welfare losses in both countries. \n  \nDoes it matter who immigrates? Skills\, immigration\, and wealth inequality\nMariana Cardoso Santos\, PhD candidate (Iscte)\n\nAbstract: Aiming to better understand observed wealth inequality\, we developed a Bewley-Aiyagari model with heterogeneous agents with respect to origin and skills. The modelled economy comprises natives and immigrants\, which can be low-skilled and high-skilled. The model was calibrated for the United States economy in the 1990s. Preliminary results show that the calibrated economy can match some measures of wealth inequality in the United States\, namely the overall wealth Gini coefficient and the overall Top 1% of wealth distribution\, considering the entire population. According to the Survey of Consumer Finances of 1992\, the overall wealth Gini coefficient was approximately 0.78\, and the Top 1% held 29% of total wealth.\n\nSession Chair: Alexandra Ferreira Lopes \nJoin Online
URL:https://bru.iscte-iul.pt/event/bru-research-seminar-professor-xiaoshan-chen-mariana-cardoso-santos/
LOCATION:Online
CATEGORIES:Research Seminar
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