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Household Debt in the Czech Republic: Focus on Mortgage Amount Determinants
Mittigová, Patricie ; Cahlík, Tomáš (advisor) ; Princ, Michael (referee)
The growth of household indebtedness in the last decade led to more attention paid to this issue since it could threaten the stability of financial system in the future. In the Czech Republic, this rise is mainly caused by the increased number of mortgage loans, which are usually the largest financial burden that debtors have to repay. For that reason, I focus on mortgages since their growth has been the most significant in comparison with other loan types. The aim of this thesis is to analyse how personal characteristics affect one's decision on the amount they choose to borrow in order to finance their housing needs. For this purpose, I performed a multiple regression analysis applying several estimation methods. By examining a random sample of ČSOB clients who have taken out a mortgage, I discovered that person's income, age, marital status, education and region a person lives in are significant factors affecting debtor's choice about how much they borrow. Conversely, the number of children affects the amount borrowed only at higher quantiles of the distribution, whereas it is not a significant factor at lower quantiles. This thesis complements rather a limited number of studies about the Czech household debt as it provides new findings about a borrower's decision. Powered by TCPDF (www.tcpdf.org)
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Consumer Credit Risk Analysis: Evidence from the Czech Republic
Mittigová, Patricie ; Kočenda, Evžen (advisor) ; Hlaváček, Michal (referee)
An increase in the number of granted loans in last decades resulted in more attention paid to proper assessment of borrower's creditworthiness. For this purpose, credit scoring aims to classify good and bad applicants prior loan granting. In this thesis, I analyze a large real-world dataset of borrowers who were granted an unsecured consumer loan in the Czech Republic. The objec- tive is to determine core default predictors while employing seven classification methods. Additionally, a performance measure is computed for each method in order to compare their suitability for examined loan types. Using logistic regression as the core model, the results suggest that borrower's age, monthly income, region of residence, and the number of children substantially influence the probability of default. Conversely, borrower's gender and education level did not prove to be significant for assessing client's creditworthiness. Compar- ing the performance of employed classification methods, it can be concluded that all models produced almost identical results and can be used for the purpose of credit scoring. This thesis complements rather a limited number of credit scoring studies in the Czech Republic and provides new findings about default determinants for unsecured consumer loans. 1
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Household Debt in the Czech Republic: Focus on Mortgage Amount Determinants
Mittigová, Patricie ; Cahlík, Tomáš (advisor) ; Princ, Michael (referee)
The growth of household indebtedness in the last decade led to more attention paid to this issue since it could threaten the stability of financial system in the future. In the Czech Republic, this rise is mainly caused by the increased number of mortgage loans, which are usually the largest financial burden that debtors have to repay. For that reason, I focus on mortgages since their growth has been the most significant in comparison with other loan types. The aim of this thesis is to analyse how personal characteristics affect one's decision on the amount they choose to borrow in order to finance their housing needs. For this purpose, I performed a multiple regression analysis applying several estimation methods. By examining a random sample of ČSOB clients who have taken out a mortgage, I discovered that person's income, age, marital status, education and region a person lives in are significant factors affecting debtor's choice about how much they borrow. Conversely, the number of children affects the amount borrowed only at higher quantiles of the distribution, whereas it is not a significant factor at lower quantiles. This thesis complements rather a limited number of studies about the Czech household debt as it provides new findings about a borrower's decision. Powered by TCPDF (www.tcpdf.org)
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