Institute of Information Theory and Automation

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Projects

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...
Dept.: E Duration: 2016 - 2019
This project extensively examines the effect of financial sector development and financial risks on both long-term economic growth as well as short-term economic fluctuations during the current financial crisis. First, we extend previous research on the effect of financial development on economic growth by considering multidimensionality of financial system in a fuller manner and by employing the...
Dept.: E Duration: 2015 - 2017
The aim of the project is to create a dynamical structural model of a mortgage portfolio consisting of multiple tranches. A default of a loan will be driven by a sum of three factors: an overall one, a tranche specific one and an individual one. Analogously, a loss (given default) of individual mortgages will be driven by a sum of three factors (possibly standing for a collateral value). The...
Dept.: E Duration: 2014 - 2016
The aim of the research project is to analyze financial risk and market co-movements using novel econometric methods and their theoretically grounded modifications. The main focus will be on emerging European markets with respect to global developed markets, as well as important assets from commodities markets. Co-movements between the markets based on different data frequencies may potentially...
Dept.: E Duration: 2014 - 2016
The ability of financial markets to bear risk is central to economic welfare and stability. Growth and economic wellbeing is inhibited if financial markets are unable to transfer resources efficiently from the suppliers of liquiditz to entrepreneurs. However, this proper functioning of financial markets has been distorted by levels of volatility considerably in excess of those implied by...
Dept.: E Duration: 2014 - 2016
The project focuses on analysis of financial time series in a framework of bivariate long memory with a special attention on power-law decaying cross-correlation function and its implications for dynamic properties of such processes. The first target is to use these implications for construction of statistical tests to distinguish between short and long memory. The second aim is to explore the...
Dept.: E Duration: 2013 - 2015
The project deals with modelling of options implied volatility where the implied volatility is considered as a function of strike price and time to maturity. We focus on arbitrage-free techniques where the strike arbitrage-free condition is expressed in terms of state-price-density while the calendar arbitrage-free condition is based on the monotony of total (implied) variance. Various...
Dept.: E Duration: 2013 - 2015
The project focuses on studying multivariate time-frequency dynamics of financial markets using spectral methods. First target is to formulate new spectral-based realized measure of variance and covariance using wavelets, which will be applied to measure the integrated volatililty and covolatility under the various types of dependent microstructure noise. The newly proposed estimators will also...