37 documents found, page 1 of 4

Enhancing the Cournot model by integrating risk events and attitudes towards risk

Measuring the impacts of university-industry R&D collaborations: a systematic l...

Measuring the impacts of collaborative projects between industry and academia raises significant challenges. It involves stakeholders with different outlooks and impact expectations. Moreover, the multidimensional nature of the impacts themselves means they are tangible and intangible, short- and long-term, direct and indirect, positive and negative, making their measurement process very complex. To gain a deep...

Financial literacy bias: a comparison between students and nonstudents

Purpose – This work uses survey data from the Portuguese Securities Market Commission (Comissão de Mercado de Valores Mobiliários – CMVM) to examine financial literacy and literacy bias. The main objective of this study is to shed light on this issue by identifying the individual characteristics that are associated with financial literacy, namely overconfidence and underconfidence, which in turn might help expl...

A joint replenishment problem with the (T,ki) policy under obsolescence

Measuring the societal impacts of university-industry R&D collaborations

PO 119 - Anestesia de Urgência em Síndrome de Stiff Person – um desafio anestésico

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PO 132 - Síndrome de implantação de cimento – um diagnóstico presuntivo

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Discounted costs and obsolescence with the Joint replenishment problem

Real life inventory lot sizing problems are frequently challenged with the need to order different types of items within the same batch. The Joint Replenishment Problem (JRP) addresses this setting of coordinated ordering by minimizing the total cost, composed of ordering (or setup) costs and holding costs, while satisfying the demand. The complexity of this problem increases when some or all item types are pro...

The Relationship Between USD/EUR Official Exchange Rates And Implied Exchange R...

We examine the long- and short-run relationships between USD/EUR official rates and implicit exchange rates, through Bitcoin as a currency vehicle, over the period from March 07, 2016 to November 22, 2019. The results show that the two exchange rates are cointegrated and that the cointegrating vector is not statistically different from the theoretical one that results from the law of one price. In the short-run...

Using Machine Learning to Profit on the Risk Premium of the Nordic Electricity ...

This study investigates the use of several trading strategies, based on Machine Learning methods, to profit on the risk premium of the Nordic electricity base-load week futures. The information set is only composed by financial data from January 02, 2006 to November 15, 2017. The results point out that the Support Vector Machine is the best method, but, most importantly, they highlight that all individual model...