National Repository of Grey Literature 103 records found  beginprevious49 - 58nextend  jump to record: Search took 0.00 seconds. 
What is My Car Worth? Hedonic Price Analysis of the German Used Car Market
Doležalová, Radka ; Polák, Petr (advisor) ; Červinka, Michal (referee)
Valuation of used cars, affected by various technical attributes and information asymmetry, is the key objective of all agents operating on the automobile mar- ket. This thesis, focusing on a hedonic price analysis, aims to determine basic as well as additional attributes as determinants of a used car market price. In addition, the analysis sheds light upon novel attributes (service records, cigarette smoke pollution of a vehicle interior, selling channel factor in the e- commerce environment, and a German geographical division). The hedonic price research uses the unique data sample of the German used car market, extracted from the database of the e-commerce platform AutoScout24 com- prised of almost 51 thousand vehicles and 57 attributes. The model selection is specified by the incorporation of the Bayesian model averaging approach. The research proves the complexity of a valuation of a used vehicle in a term of a substantial number of relevant variables. The most interesting innovative conclusions are non-significant effect of selling channels and small local price differences among two German regions. Remarkable are also the significant effect of the status of previous owners, bodywork colour, and smoke pollution. The estimated vehicle lifespan of 10 years shows that cars have shorter than...
Analysis of investor's portfolio diversification on the Czech peer-to-peer market
Juračková, Martina ; Polák, Petr (advisor) ; Čech, František (referee)
This thesis deals with the topic of peer-to-peer lending. Using the data provided by the Czech platform Zonky, we study the behaviour of investors on the peer-to-peer lending market. This paper aims to determine whether the demographic factors of investor and the structure of his portfolio have a significant impact on portfolio performance. Based on the quantity invested, a sample of "small" investors (with the quantity invested from 10 000 CZK to 50 000 CZK) and "big" investors (with the invested volume exceeding 1 000 000 CZK) was chosen. Those contrasting samples were analysed. It was discovered that several factors affect portfolio performance. In terms of the portfolio's structure, the size of the share invested in loans with very low and medium risk level and to borrowers from Prague was determined as significant. This is a common feature of both samples. On the other hand, compared to "big" investors, in the case of "small" investors, more variables were estimated as significant. This implies that the performance of a portfolio with lower amount invested is probably more sensitive to various loan's characteristics. These findings are partially consistent with the results of similar papers conducted in the Czech Republic or abroad.
Evolution of housing prices and its determinants in CEE
Šedivý, Jakub ; Polák, Petr (advisor) ; Pečená, Magda (referee)
As housing is one of the important parts of gross domestic product and one of the most significant components of people's wealth it is vital to investigate the determinants of its prices. Therefore, we analyze housing prices in Central and Eastern European coun- tries using pooled mean group estimator and vector autoregressive models. The objective of this thesis is to find out whether the fundamentals of housing prices are comparable across different countries and how the shocks in the economy affect housing pricese. For our analysis we used housing prices per square metre, GDP per capita, unemployment rates, 5-year interest rates, harmonised indices of consumer prices and construction cost indices. The conclusions of using pooled mean group estimator suggest that GDP, un- employment, interest rate and HICP indeed significantly affect the housing prices. The results of empirical analysis of individual countries using vector autoregressive model con- clude that shocks in the determinants affect housing prices with lags of 2 to 3 quarters and that the individual countries are driven by slightly different fundamentals.
The Impact of Economic Development on Asset Poverty: Evidence from Slovakia
Lancuchová, Petra ; Polák, Petr (advisor) ; Janský, Petr (referee)
This thesis deals with asset poverty and examines whether current economic development reduces the threat of households falling into asset poverty and whether the gap between poor and rich households is widening. For that pur- pose, we use data obtained from the Slovak HFSC survey, which took place in 2014. Economic development between 2014 and 2019 is simulated using macroeconomic indicators such as inflation, unemployment rate, and others. Besides the OLS method, which shows the effect of examined independent variables on the average value of household assets, we also employ quantile regression to compare the difference in the influence of independent variables on different values of assets. Regression results suggest that, indeed, recent economic development in Slovakia might reduce the risk of asset poverty; how- ever, this does not apply to all households. Economic development seems to be significant primarily for households with a higher value of assets, which may lead to a growing gap between wealthy and poor households. JEL Classification C13, D31, I32, O11 Keywords asset poverty, economic development, poverty measurements, wealth Title The Impact of Economic Development on Asset Poverty: Evidence from Slovakia
Does Language Drive the Crowd? Case of Czech Reward-Based Crowdfunding
Hudcová, Tereza ; Polák, Petr (advisor) ; Schwarz, Jiří (referee)
This thesis analyses the biggest reward-based crowdfunding platform in the Czech Repub- lic using textual tools on uniquely collected microdata. The research question investigates which of the attributes of project campaigns (including the language style of project de- scriptions) have a significant impact on successful funding. Empirical analysis combines results of Bayesian Model Averaging and logistic regression. Results reveal that firstly, language style of project descriptions does not possess any significant predictive power. Secondly, that utilization of a video, size of pledging goal, or the number of contributors have a significant effect on the campaign's success, which is in line with current literature. Thirdly, it has proven to be true that project categorization plays an important role as well. On the contrary, the findings do not imply any causal claims, such as whether those factors persuade contributors to donate money. JEL Classification G23 Keywords crowdfunding, rewards, success determinants, natural language processing Author's e-mail t.hudcova@gmail.com Supervisor's e-mail polakpet@gmail.com
Drivers of Success of Insolvency Proceedings in the Czech Republic
Bezuchová, Anna ; Polák, Petr (advisor) ; Cahlík, Tomáš (referee)
This thesis focuses on the insolvency proceedings of natural persons in the Czech Republic with the aim to examine the impact of the debt structure on the probability of being relieved of debts. For this purpose, the linear probability model and the logit model are used. The analyzed dataset consists of 269 insolvency proceedings for which the insolvency petition was filled between 2008 and 2017. We found that the debtor with a higher share of nonbank debt has a higher probability of being relieved of debts than the debtor with a higher share of bank debt. Moreover, the number of kids and the number of creditors negatively affect the probability of being relieved of debts. 1
The Impact of the EU-South Korea Free Trade Agreement on EU's Exports
Czakojová, Kristýna ; Polák, Petr (advisor) ; Vacek, Pavel (referee)
1 Abstract To support exports, the European Union (EU) and South Korea concluded the EU-South Korea free trade agreement (FTA) in 2010. An objective of the FTA was to reduce or remove barriers to international trade. This thesis examines the impact of the FTA on EU's exports. The gravity model of international trade was applied in the study with using the data over the years 2005-2017. The hypothesis was tested using static and dynamic GLS random and fixed effects, static LSDV model and dynamic GMM model. The two-step SYS- GMM model was concluded as a valid estimate. Empirical analysis shows that the exports between the two countries are predicted to be about 13.8 % higher if they have signed the EU-South Korea Free trade agreement, holding other factors fixed. Moreover, a positive impact of GDP and a negative impact of distance on export were detected, as expected.
Peer-to-peer lending as a substitute to conventional investment products
Vysušil, Tomáš ; Polák, Petr (advisor) ; Hronec, Martin (referee)
This thesis supplements the investor oriented research on Peer-to-peer(P2P) lending. In particular, P2P lending is examined as a substitute to conventional investment products. Due to the shortage of macrodata to analyse the topic, questionaired survey gathered microdata are used. The data are than used to estimate the effect of a change in annual rate of return on the distribution of portfolio invesntments across assets. The methods used in the analysis are the log-odds ratio transformation of the dependent variables and pooled OLS estimation with heteroskedasticity robust errors due to the results of Breusch-Pagan test. The results suggest that P2P loans are substitutes to Non-Fixed income investments rather than to Fixed income assets as it was expected. Further, it is found that investors in P2P loans undestand this form of investment to be safe as more risk averse investors are found to have higher fraction of their portfolio alocated in P2P loans. All the active P2P lending platforms on the Czech market are theoretically analyzed based on the developed method. 1
Priming as a tool for triggering prosocial behavior
Tížková, Tereza ; Polák, Petr (advisor) ; Godar, Sarah (referee)
Priming is a cognitive bias influencing, in various forms, daily life of people. This paper examines the effect of priming in economics, where subjects are often forced to make decisions under uncertainty. The empirical part of this paper introduces the experiment, where subjects were manipulated towards or against prosocial behaviour with verbal priming techniques. The experiment results show that priming to specific concepts correlated with a tendency to act prosocially actually increases the subsequent degree of prosocial behaviour, although the same evidence has not been found with the opposite case.
Willingness to pay for streaming services: Evidence from the Czech Republic
Strnadová, Ivana ; Polák, Petr (advisor) ; Kučera, Adam (referee)
The aim of this thesis is to analyze the consumers' willingness to pay for subscription- based video streaming services in the Czech Republic. With the unique data collected via self-developed questionnaire both the willingness to pay and the maximum price that consumers would be willing to pay for such services is examined. Using the logistic regression, variables that have a significant effect on the probability of subscribing were identified. These include the age, education level, preference for original sound and Czech movie production, online payments, purchase of an electronic movie, number of devices used, cinema visits, favouritism of movies over TV shows, satisfaction with the content offered by common broadcasting stations and desire for spatial mobility when accessing video content. Similar results were obtained when predicting the price using OLS. Additionally a previous purchase of a physical medium and the income level were found significant. Based on demand estimation this thesis also suggests that from the provider's perspective the optimal profit maximization price for streaming services should be set in the range from 218 to 283 CZK.

National Repository of Grey Literature : 103 records found   beginprevious49 - 58nextend  jump to record:
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18 POLÁK, Petr
1 Polák, Patrik
5 Polák, Pavel
3 Polák, Peter
1 Polák, Petr,
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