Institute of Information Theory and Automation

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Projects

Dept.: E Duration: 2020 - 2021
Cílem projektu je vytvoření softwarového nástroje pro simulaci sociálních vazeb a protiepidemických opatření, který umožní porovnat efektivitu opatření s jejich dopadem na život jednotlivce i společnosti. Jádrem tohoto nástroje je síťový model dosavadního šíření COVID-19 v ČR. V modelování kombinujeme data longitudinálního sociologického výzkumů Život během pandemie (mezilidské kontakty, pracovní...
Dept.: E Duration: 2020 - 2022
The pre-2008 consensus on what is the most appropriate economic policy melted away. Since then, economists and policymakers have faced new challenges like the zero lower bound, the non-neutrality of financial regulation for the long-term economic performance, and increased uncertainty. This project contributes to the debates about the future economic policies by addressing topics that are beyond...
Dept.: E Duration: 2020 - 2022
This project focuses on the construction of complex networks of financial markets’ linkages around the world. First, several measures of associations will be considered, describing different aspects of market relationships. Second, suitable subgraphs will be identified, in order to create a suitable network representation capturing main dependencies between markets. Finally, the network...
Dept.: E Duration: 2020 - 2022
The project addresses the disconnection issue of the current financial and economic agent-based research. A complex agent-based economic model with an integrated financial sector will be suggested and a focus will be devoted to its econometric estimation. This interconnection will allow an overall study of the economic system under realistic assumptions about the behavior of economic agents. The...
Dept.: E Duration: 2020 - 2022
The project focuses on analysis of specific aspects of cryptoassets (cryptocurrencies), specifically on three main branches of research. First, we study the cryptoassets pricing mechanisms, mainly with respect to their fundamental factors such as number of users, number of transactions, traded volume, and others. The core models will be constructed utilizing the quantity theory of money and...
Dept.: E Duration: 2019 - 2023
The recent availability of large digital finance datasets brings new challenges to quantitative finance. Many of the classical financial econometric or optimization models become inappropriate or intractable when applied to digital finance data. Vast quantities of information available in every moment require improvement of the classical methodology, in order to understand correctly the...
Dept.: E Duration: 2019 - 2021
The goal of this Project is to study arbitrage opportunities on limit order markets with boundedly rational agents. To this end, we aim to construct a model of a market with boundedly rational liquidity providers (market makers), liquidity takers (institutional/retail investors) and arbitragers (high frequency traders), and examine pay-offs of the arbitragers depending on the market's...
Dept.: E Duration: 2018 - 2020
Multi-objective stochastic programming problems correspond to economic situations in which economic process is simultaneously influenced by a random environment and a decision parameter selected with respect to multi-objective optimization problem depending on the probability measure. In applications very often the actual probability measure is a little perturbed, has to be replaced by empirical...
Dept.: E Duration: 2017 - 2019
The project focuses on utilization of multifractal framework in finance and financial economics. Specifically, we focus on three main branches of research. First, we examine how occurrence of financial extreme events translates into multifractal properties of the time series. For this purpose, we utilize the cusp catastrophe theory and the log-periodic power-law model. Second, we study usefulness...
Dept.: E Duration: 2016 - 2018
The aim of this project is to model optimal dynamic behaviour of a risk-averse European carbon-emitting steel producer, to design and implement an algorithm solving the corresponding multi-stage optimisation problem and apply the model to a real-life steel company. A linear combination of mean profit and conditional value at risk will serve as a decision criterion; decision variables will...